Comparing the number of admissions between Med/Surg and Cardiac in MN (or any two procedures)
APA FORMAT
The dataset to use to complete this assignment is “MN Admission” dataset
Assignment #1: Quantitative Analysis
For this assignment, you should choose one dataset from the list/links below. You should then analyze the dataset you chose using Excel Analysis ToolPak or RStudio (for bonus points)
Six Datasets to select and use for analysis in this class :
Minnesota Healthcare Database.xlsx
Medicare National Data by County
MN Hospital Report Data by Care Unit FY
2013
MN HCCIS Imaging Procedures 2013
MEPS Dental Files
MEPS Inpatient Stay Database
You should develop an analysis report, in five main sections, including (1) Introduction, (2) Analysis (including research questions/objective, data set used, research method, and analysis steps), (3) Results (tables, graphs, and discussion of results), (4) Conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: You submitted a topic you plan to use for this assignment in week 1. If the Professor has approved that topic for you to use then carry on.
Step 2: Develop the research question for that approved topic. Then, select the data set you could use to answer the research question, plan the research method you would use, the tables and graphs you would create using the data you have analyzed, and the analysis steps you would take. Refer to the instructions on the Report Structure below.
Step 3: Run the analysis using Microsoft EXCEL Analysis ToolPak (or RStudio if that is the software you chose in Week 1) and report the findings based on the instructions below.
The Report Structure:
Start with the
1. Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1 (you can download the file from the class) and http://www.umgc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
Your title page should include:
Title, this is the approved topic by your instructor.
Student name
Class name
Instructor name
Date
2. Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
Indicates why this is an issue or topic worth researching;
Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3. Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information:
Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents’ answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer one or more testable research questions. Nearly all testable research questions begin with one of the following two phrases:
Is there a significant difference between …?
Is there a significant relationship between …?
For example:
Is there a significant relationship between the age of managers? and their attitudes towards the reorganization?
A research hypothesis is a testable statement of opinion. It is created from the research question by replacing the words “Is there” with the words “There is,” and also replacing the question mark with a period. The hypotheses for the two sample research questions would be:
There is a significant relationship between the age of managers
and their attitudes towards the reorganization.
It is not possible to test a hypothesis directly. Instead, you must turn the hypothesis into a null hypothesis. The null hypothesis is created from the hypothesis by adding the words “no” or “not” to the statement. For example, the null hypotheses for the two examples would be:
There is no significant relationship between the age of managers
and their attitudes towards the reorganization.
There is no significant difference between white and minority residents
with respect to what they feel are the most important problems facing the community.
All statistical testing is done on the null hypothesis…never the hypothesis. The result of a statistical test will enable you to either:
1) reject the null hypothesis, or
2) fail to reject the null hypothesis. Never use the words “accept the null hypothesis.”
*
Source
: StatPac for Windows Tutorial. (2017). User’s Guide; Formulating Hypotheses from Research Questions. Retrieved May 17, 2019 from https://statpac.com/manual/index.htm?turl=formulatinghypothesesfromresearchquestions.htm
What does significance really mean?
“Significance is a statistical term that tells how sure you are that a difference or relationship exists. To say that a significant difference or relationship exists only tells half the story. We might be very sure that a relationship exists, but is it a strong, moderate, or weak relationship? After finding a significant relationship, it is important to evaluate its strength. Significant relationships can be strong or weak. Significant differences can be large or small. It just depends on your sample size.
To determine whether the observed difference is statistically significant, we look at two outputs of our statistical test:
P-value
: The primary output of statistical tests is the p-value (probability value). It indicates the probability of observing the difference if no difference exists.
The p-value from above example, 0.9926, indicates that we DO NOT expect to see a meaningless (random) difference of 5% or more in ‘hospital beds’ only about 993 times in 1000 there is no difference (0.9926*1000=992.6 ~ 993).
Note: This is an example from the week1 exercise.
The p-value from above example, 0.0001, indicates that we’d expect to see a meaningless (random) ‘number of the employees on payer’ difference of 5% or more only about 0.1 times in 1000 (0.0001 * 1000=0.1).
CI around Difference: A confidence interval around a difference that does not cross zero also indicates statistical significance. The graph below shows the 95% confidence interval around the difference between hospital beds in 2011 and 2012 (CI: [-40.82 ; 40.44]):
CI around Difference: A confidence interval around a difference that does not cross zero also indicates statistical significance. The graph below shows the 95% confidence interval around the difference between hospital beds in 2011 and 2012 (CI: [-382.16 ; 125.53]):
The boundaries of this confidence interval around the difference also provide a way to see what the upper [40.44] and lower bounds [-40.82].
As a summary:
“Statistically significant means a result is unlikely due to chance.
The p-value is the probability of obtaining the difference we saw from a sample (or a larger one) if there really isn’t a difference for all users.
Statistical significance doesn’t mean practical significance. Only by considering context can we determine whether a difference is practically significant; that is, whether it requires action.
The confidence interval around the difference also indicates statistical significance if the interval does not cross zero. It also provides likely boundaries for any improvement to aide in determining if a difference really is noteworthy.
With large sample sizes, you’re virtually certain to see statistically significant results, in such situations, it’s important to interpret the size of the difference”(“Measuring U”, 2019).
*Resource
Measuring U. (2019). Statistically significant. Retrieved May 17, 2019 from: https://measuringu.com/statistically-significant/
Small sample sizes often do not yield statistical significance; when they do, the differences themselves tend also to be practically significant; that is, meaningful enough to warrant action.
4. Research Method
Discuss the Research Methodology (in general). Describe the variable or variables that are being analyzed. Identify the statistical test you will select to analyze these data and explain why you chose this test. Summarize your statistical alternative hypothesis. This section includes the following sub-sections:
a) Describe the Dataset
Example:
The primary source of data will be HOSPITAL COMPARE MEDICARE DATA (citation). This dataset provides information on hospital characteristics, such as: Number of staffed beds, ownership, system membership, staffing by nurses and non-clinical staff, teaching status, percentage of discharge for Medicare and Medicaid patients, and information regarding the availability of specialty and high-tech services, as well as Electronic Medical Record (EMR) use (Describe dataset in 2-3 lines, Google the dataset and find the related website to find more information about the data).
Also, describe the sample size; for example, “The writer is using Medicare data-2013, this data includes 3000 obs. for all of the hospitals in the US.”
b) Describe
Variable
s
Next, review the database you selected and select a variable or variables that are a “best-fit.” That is, choose a variable that quantitatively measures the concept or concepts articulated in your research question or hypothesis.
Return to your previously stated Research Question or Hypothesis and evaluate it considering the variables you have selected. (See the sample Table 1).
Table 1. List of variables used for the analysis
Variable
Definition
Description
of data code
Source
Year
Total Hospital Beds
Total facility beds set up and staffed at the end of the reporting period
Numeric
MN Data
2013
….
…..
Source: UMGC, 2019
***Just in time information:
To cite a dataset, you can go with two approaches:
First, look at the note in the dataset for example;
Medicare National Data by County. (2012). Dartmouth Atlas of Health Care
Second, use the online citation, for example:
Zare, H., (2019, May). MN Hospital Report Data. Data posted in University of Maryland University College HMGT 400 online classroom, archived at http://campus.umgc.edu
See two examples describing the variables from Minnesota Data:
Table 2. Definition of variables used in the analysis
Variable
Definition
Description
of code
Source
Year
hospital_beds
Total facility beds set up and staffed at the end of the reporting period
Numeric
MN data
2013
year
FY
Categorical
MN data
2013
Source: UMGC, 2019
c) Describe the Research Method for Analysis
First, describe the research method as general (e.g., this is a quantitative method and then explain this method in about one paragraph. If you have this part in the introduction, you do not need to add it here).
Then, explain the statistical method you plan to use for your analysis (Refer to content in week 3 on Biostatistics for information on various statistical methods you can choose from).
Example:
Hypothesis: AZ hospitals are more likely to have lower readmission rates for PN compared to CA.
Research Method: To determine whether Arizona hospitals are more likely to have lower readmission rate than California, we will use a t-test, to determine whether differences across hospital types are statistically significant (You can change the test depends on your analysis).
d) Describe statistical package
Add one paragraph for the statistical package, e.g., Excel or RStudio.
5. Results
Discuss your findings considering the following tips:
▪ Why you needed to see the distribution of data before any analysis (e.g., check for outliers, finding the best fit-test; for example, if the data had not a normal distribution, you can’t use the parametric test, etc., so just add 1 or 2 sentences).
▪ Did you eliminate outliers? (Please write 1 or 2 sentences, if applicable).
▪ How many observations do you have in your database and how many for selected variables, report % of missing.
▪ When you are finished with this, go for the next steps:
Present the results of your statistical analysis; include any relevant statistical information (summary tables, including N, mean, std. dev.). Make sure to completely and correctly name all your columns and rows, tables, and variables. For this part you could have at least 1-2 tables and 1-2 figures (depending on your variables bar-chart, pi-chart, or scatter-plot), you can use a table like this:
Table 3. Descriptive analysis to compare % of BL in Medicare beneficiary, MD vs. VA- 2013
Variable
Obs.
Mean
SD
P-value
Per of Lipid in MD
24
83.20
2.32
0.4064
Per of Lipid in VA
124
82.69
4.41
Source: UMGC, 2019
When you have tables and plots ready, think about your finding and state the statistical conclusion. That is, do the results present evidence in favor or the null hypothesis or evidence that contradicts the null hypothesis?
6. Conclusion and Discussion
Review your research questions or hypothesis.
How has your analysis informed this question or hypothesis? Present your conclusion(s) from the results (presented above) and discuss the meaning of this conclusion(s) considering the research question or hypothesis presented in your introduction.
At the end of this section, add one or two sentences and discuss the limitations (including biases) associated with this analysis and any other statements you think are important in understanding the results of this analysis.
References
Include a reference page listing the bibliographic information for all sources cited in this report. This information should be consistent with the requirements specified in the American Psychological Association (APA) format and style guide.
Assignment
#1: Quantitative Analysis
For this assignment, you should choose one dataset from the list/links below. You should then analyze the dataset you chose using Excel Analysis ToolPak or RStudio (for bonus points)
Six Datasets to select and use for analysis in this class :
Minnesota Healthcare Database.xlsx
Medicare National Data by County
MN Hospital Report Data by Care Unit
FY
2013
MN HCCIS Imaging Procedures 2013
MEPS Dental Files
MEPS Inpatient Stay Database
You should develop an analysis report, in five main sections, including (1) Introduction, (2) Analysis (including research questions/objective, data set used, research method, and analysis steps), (3) Results (tables, graphs, and discussion of results), (4) Conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: You submitted a topic you plan to use for this assignment in week 1. If the Professor has approved that topic for you to use then carry on.
Step 2: Develop the research question for that approved topic. Then, select the data set you could use to answer the research question, plan the research method you would use, the tables and graphs you would create using the data you have analyzed, and the analysis steps you would take. Refer to the instructions on the Report Structure below.
Step 3: Run the analysis using Microsoft EXCEL Analysis ToolPak (or RStudio if that is the software you chose in Week 1) and report the findings based on the instructions below.
The Report Structure:
Start with the
1. Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1 (you can download the file from the class) and http://www.umgc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
Your title page should include:
Title, this is the approved topic by your instructor.
Student name
Class name
Instructor name
Date
2. Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
Indicates why this is an issue or topic worth researching;
Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3. Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information: Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents’ answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer one or more testable research questions. Nearly all testable research questions begin with one of the following two phrases:
Is there a significant difference between …?
Is there a significant relationship between …?
For example:
Is there a significant relationship between the age of managers? and their attitudes towards the reorganization?
A research hypothesis is a testable statement of opinion. It is created from the research question by replacing the words “Is there” with the words “There is,” and also replacing the question mark with a period. The hypotheses for the two sample research questions would be:
There is a significant relationship between the age of managers
and their attitudes towards the reorganization.
It is not possible to test a hypothesis directly. Instead, you must turn the hypothesis into a null hypothesis. The null hypothesis is created from the hypothesis by adding the words “no” or “not” to the statement. For example, the null hypotheses for the two examples would be:
There is no significant relationship between the age of managers
and their attitudes towards the reorganization.
There is no significant difference between white and minority residents
with respect to what they feel are the most important problems facing the community.
All statistical testing is done on the null hypothesis…never the hypothesis. The result of a statistical test will enable you to either:
1) reject the null hypothesis, or
2) fail to reject the null hypothesis. Never use the words “accept the null hypothesis.”
*Source: StatPac for Windows Tutorial. (2017). User’s Guide; Formulating Hypotheses from Research Questions. Retrieved May 17, 2019 from https://statpac.com/manual/index.htm?turl=formulatinghypothesesfromresearchquestions.htm
What does significance really mean?
“Significance is a statistical term that tells how sure you are that a difference or relationship exists. To say that a significant difference or relationship exists only tells half the story. We might be very sure that a relationship exists, but is it a strong, moderate, or weak relationship? After finding a significant relationship, it is important to evaluate its strength. Significant relationships can be strong or weak. Significant differences can be large or small. It just depends on your sample size.
To determine whether the observed difference is statistically significant, we look at two outputs of our statistical test:
P-value: The primary output of statistical tests is the p-value (probability value). It indicates the probability of observing the difference if no difference exists.
Example of Welch Two Sample T-test from Exercise 1
The p-value from above example, 0.9926, indicates that we DO NOT expect to see a meaningless (random) difference of 5% or more in ‘hospital beds’ only about 993 times in 1000 there is no difference (0.9926*1000=992.6 ~ 993).
Note: This is an example from the week1 exercise.
An example from Exercise 1
The p-value from above example, 0.0001, indicates that we’d expect to see a meaningless (random) ‘number of the employees on payer’ difference of 5% or more only about 0.1 times in 1000 (0.0001 * 1000=0.1).
CI around Difference: A confidence interval around a difference that does not cross zero also indicates statistical significance. The graph below shows the 95% confidence interval around the difference between hospital beds in 2011 and 2012 (CI: [-40.82 ; 40.44]):
Confidence Interval Example
CI around Difference: A confidence interval around a difference that does not cross zero also indicates statistical significance. The graph below shows the 95% confidence interval around the difference between hospital beds in 2011 and 2012 (CI: [-382.16 ; 125.53]):
Confidence Interval Example
The boundaries of this confidence interval around the difference also provide a way to see what the upper [40.44] and lower bounds [-40.82].
As a summary:
“Statistically significant means a result is unlikely due to chance.
The p-value is the probability of obtaining the difference we saw from a sample (or a larger one) if there really isn’t a difference for all users.
Statistical significance doesn’t mean practical significance. Only by considering context can we determine whether a difference is practically significant; that is, whether it requires action.
The confidence interval around the difference also indicates statistical significance if the interval does not cross zero. It also provides likely boundaries for any improvement to aide in determining if a difference really is noteworthy.
With large sample sizes, you’re virtually certain to see statistically significant results, in such situations, it’s important to interpret the size of the difference”(“Measuring U”, 2019).
*Resource
Measuring U. (2019). Statistically significant. Retrieved May 17, 2019 from: https://measuringu.com/statistically-significant/
Small sample sizes often do not yield statistical significance; when they do, the differences themselves tend also to be practically significant; that is, meaningful enough to warrant action.
4. Research Method
Discuss the Research Methodology (in general). Describe the variable or variables that are being analyzed. Identify the statistical test you will select to analyze these data and explain why you chose this test. Summarize your statistical alternative hypothesis. This section includes the following sub-sections:
a) Describe the Dataset
Example: The primary source of data will be HOSPITAL COMPARE MEDICARE DATA (citation). This dataset provides information on hospital characteristics, such as: Number of staffed beds, ownership, system membership, staffing by nurses and non-clinical staff, teaching status, percentage of discharge for Medicare and Medicaid patients, and information regarding the availability of specialty and high-tech services, as well as Electronic Medical Record (EMR) use (Describe dataset in 2-3 lines, Google the dataset and find the related website to find more information about the data).
Also, describe the sample size; for example, “The writer is using Medicare data-2013, this data includes 3000 obs. for all of the hospitals in the US.”
b) Describe Variables
Next, review the database you selected and select a variable or variables that are a “best-fit.” That is, choose a variable that quantitatively measures the concept or concepts articulated in your research question or hypothesis.
Return to your previously stated Research Question or Hypothesis and evaluate it considering the variables you have selected. (See the sample Table 1).
Table 1. List of variables used for the analysis
Table 1. List of variables used for the analysis
|
Variable |
Definition |
Description of data code |
Source |
Year |
|||||
|
Total Hospital Beds |
Total facility beds set up and staffed at the end of the reporting period |
Numeric |
MN Data |
2013 | |||||
|
…. |
|||||||||
|
….. |
Source: UMGC, 2019
***Just in time information:
To cite a dataset, you can go with two approaches:
First, look at the note in the dataset for example;
Medicare National Data by County. (2012). Dartmouth Atlas of Health Care
Second, use the online citation, for example:
Zare, H., (2019, May). MN Hospital Report Data. Data posted in University of Maryland University College HMGT 400 online classroom, archived at http://campus.umgc.edu
See two examples describing the variables from Minnesota Data:
Table 2. Definition of variables used in the analysis
|
Description of code |
||
|
hospital_beds |
MN data |
|
|
year |
FY |
Categorical |
Source: UMGC, 2019
c) Describe the Research Method for Analysis
First, describe the research method as general (e.g., this is a quantitative method and then explain this method in about one paragraph. If you have this part in the introduction, you do not need to add it here).
Then, explain the statistical method you plan to use for your analysis (Refer to content in week 3 on Biostatistics for information on various statistical methods you can choose from).
Example:
Hypothesis: AZ hospitals are more likely to have lower readmission rates for PN compared to CA.
Research Method: To determine whether Arizona hospitals are more likely to have lower readmission rate than California, we will use a t-test, to determine whether differences across hospital types are statistically significant (You can change the test depends on your analysis).
d) Describe statistical package
Add one paragraph for the statistical package, e.g., Excel or RStudio.
5. Results
Discuss your findings considering the following tips:
▪ Why you needed to see the distribution of data before any analysis (e.g., check for outliers, finding the best fit-test; for example, if the data had not a normal distribution, you can’t use the parametric test, etc., so just add 1 or 2 sentences).
▪ Did you eliminate outliers? (Please write 1 or 2 sentences, if applicable).
▪ How many observations do you have in your database and how many for selected variables, report % of missing.
▪ When you are finished with this, go for the next steps:
Present the results of your statistical analysis; include any relevant statistical information (summary tables, including N, mean, std. dev.). Make sure to completely and correctly name all your columns and rows, tables, and variables. For this part you could have at least 1-2 tables and 1-2 figures (depending on your variables bar-chart, pi-chart, or scatter-plot), you can use a table like this:
Table 3. Descriptive analysis to compare % of BL in Medicare beneficiary, MD vs. VA- 2013
|
Obs. |
Mean |
SD |
P-value |
|
|
Per of Lipid in MD |
24 |
83.20 |
2.32 |
0.4064 |
|
Per of Lipid in VA |
124 |
82.69 |
4.41 |
Source: UMGC, 2019
When you have tables and plots ready, think about your finding and state the statistical conclusion. That is, do the results present evidence in favor or the null hypothesis or evidence that contradicts the null hypothesis?
6. Conclusion and Discussion
Review your research questions or hypothesis.
How has your analysis informed this question or hypothesis? Present your conclusion(s) from the results (presented above) and discuss the meaning of this conclusion(s) considering the research question or hypothesis presented in your introduction.
At the end of this section, add one or two sentences and discuss the limitations (including biases) associated with this analysis and any other statements you think are important in understanding the results of this analysis.
References
Include a reference page listing the bibliographic information for all sources cited in this report. This information should be consistent with the requirements specified in the American Psychological Association (APA) format and style guide.
>Admissions by Care Unit
2
– 1 n-Acute Care
20)
0)
)
)
+ 0)
0
4)
)
)
1)
)
4)
7)
4)
)
)
)
5)
70)
1)
)
)
)
0)
)
Healthcare Center, Inc.
Tyler / 20 1 20 8 1 4 23 0
20 4 24 4
No 2
4
6
5
4
5
, 1
1
, 4
4,264 , Ada Yes 0 14 33 6 3 2 6 75 20 20 95 Aitkin Yes 25 6 25 8
12 6 24 14 87 32 95 Area Hospital and Medical Center
Albany 6/30/12 Yes 17 2 17 80 16 6 1 28 5 45 42 9 Municipal Hospital and Nursing Home
No Affiliation Appleton 9/30/12 Yes 15 1 15 42 12 6 1 9 13 83 30 52 7 59 Medical Center
No Affiliation Sibley 9/30/12 Yes 20 0 14 82 5 5 1 6 13 13 32 8 40 No 0 2
8
0 1, Hospital
Allina Hospitals and Clinics Buffalo 12/31/12 No 65 18 44 22 78 176 0
2
893 Medical Center
Allina Hospitals and Clinics Cambridge 12/31/12 No 86 15 86 459 Medical Center
Canby 6/30/12 Yes 25 4 25 13 1 12 4 15 23 24 89 37 Health System – Mayo Clinic Cannon Falls 12/31/12 Yes 21 4 21 44 1 3 15 56 40 37 123 County- Hospital
No Affiliation Montevideo Chippewa 12/31/12 Yes 30 6 25 7 6 43 22 77 113 105 15 Medical Center
Sanford Health Bagley 6/30/12 Yes 25 4 25 59 4 3 17 15 5 32 23 23 Sanford Health Luverne 6/30/12 Yes 28 5 25 144 37 7 2 12 14 62 7 43 34 113 89 No Affiliation 12/31/12 Yes 17 0 17 45 2 20 1 16 100 24 118 13 Memorial Hospital Association
No Affiliation Cloquet 9/30/12 Yes 36 6 25 377 8 2 24 2 69 101 85 220 61 42 HealthCare Center
No Affiliation Deer River 8/31/12 Yes 20 6 20 78 4 14 12 42 33 32 87 32 4 123 Health Services
No Affiliation Winona Winona 9/30/12 No 14 50 51 89 43 Health System
No Affiliation Mille Lacs 9/30/12 Yes 28 3 28 320 61 3 7 24 8 49 40 88 269 52 71 3 126 Hospital & C&NC
No Affiliation Cook 12/31/12 Yes 14 2 14 82 2 36 27 54 48 294 52 52 No Affiliation Cook 12/31/12 Yes 16 2 16 83 17 2 2 5 5 8 18 14 154 9 75 No Affiliation Yes 42 7 25 71 3 6 11 10 60 46 31 278 County Hospital
No Affiliation Douglas 12/31/12 No 127 14 91 25 13 220 590 Medical Center
Sanford Health Westbrook 6/30/12 Yes 8 0 8 18 6 2 3 29 45 74 16 16 90 -Bloomenson Community Hospital & Nursing Home
No Affiliation Ely St. Louis 9/30/12 Yes 25 3 22 36 8 5 17 3 25 31 9 38 19 30 86 4 120 Mayo Clinic Fairmont 12/31/12 No 57 16 56 340 6 3 66 35 302 1 68 35 12/31/12 No 54 10 40 13 7 67 96 524 Fairview Health Services 12/31/12 No 48 60 23 2,360 Fairview Health Services Hennepin 12/31/12 No 45 305 3
2,860 Medical Center
12/31/12 Yes 49 11 25 80 7 2 23 13 85 23 37 2
57 50 Essentia Community Hospitals and Clinics (ECHC) 6/30/12 Yes 43 7 22 70 33 8 12 35 20 16 72 146 218 No Affiliation St. Paul Ramsey 12/31/12 No 60 0 60 7 1 33 7 96 158 88 No Affiliation 9/30/12 Yes 34 4 19 93 5 2 30 1 48 24 47 65 229 Regional Health Services
Glencoe 12/31/12 Yes 49 8 25 100 7 3 38 45 91 99 -383 75 1 Municipal Hospital & Manor
No Affiliation Granite Falls Yellow Medicine 12/31/12 Yes 30 3 25 63 2 3 33 5 43 35 54 38 123 8 No Affiliation 12/31/12 Yes 20 2 20 125 49 5 3 14 14 19 229 165 29 29 194 Hospital
Allina Hospitals and Clinics Owatonna 12/31/12 No 43 16 43 19 59 562 525 Community Hospital Association
No Affiliation Hendricks Lincoln 6/30/12 Yes 24 0 19 28 17 5 8 13 12 9 92 18 51 11 62 172 No Affiliation Minneapolis Hennepin 12/31/12 No 65 257 3
2,357 Essentia Community Hospitals and Clinics (ECHC) 6/30/12 Yes 15 0 15 34 8 2 2 2 48 25 73 20 20 93 Area Health Care
Allina Hospitals and Clinics Hutchinson Mcleod 12/31/12 No 66 6 57 199 27 63 99 233 7
259 Mayo Clinic Mankato 12/31/12 No 26 1,676 1,275 No Affiliation Itasca 12/31/12 No 64 10 64 496 150 10 2 66 48 183 74 42 131 329 Medical Center
Sanford Health Jackson Jackson 6/30/12 Yes 20 0 14 56 11 12 5 7 11 102 10 112 28 28 140 No Affiliation 9/30/12 Yes 20 4 20 112 25 7 7 17 31 199 3 202 10 80 5 95 No Affiliation 12/31/12 Yes 49 8 25 558 105 10 7 51 30 107 37 125 23 17 165 Memorial Healthcare Center
No Affiliation Kittson 9/30/12 Yes 15 0 15 45 8 2 9 9 73 84 18 18 Mayo Clinic Lake City Goodhue 12/31/12 Yes 18 5 18 35 1 1 10 5 61 48 23 71 97 64 No Affiliation 9/30/12 No 10 108 278 22 260 97 39 259 248 130 319 , Lake 12/31/12 Yes 25 1 17 30 14 19 9 2 10 76 7 83 12/31/12 No 97 15 68 117 20 3 68 89 509 – CentraCare Health System Long Prairie 6/30/12 Yes 34 10 25 108 9 1 1 3 14 67 21 20 130 94 56 21 Community Hospital
No Affiliation Madelia Yes 25 7 25 52 22 7 7 15 3 7 113 -8 105 7 67 74 Hospital
No Affiliation Madison Lac Qui Parle 9/30/12 Yes 12 2 12 142 56 1 8 12 9 9 25 262 219 5 71 5 81 Health Center
Sanford Health Mahnomen Mahnomen 12/31/12 Yes 18 0 10 54 13 1 2 2 1 11 84 34 118 31 11 42 160 Memorial Hospital
No Affiliation Meeker 12/31/12 Yes 35 4 35 338 14 45 160 19 157 57 96 3 131 51 1 183 Area Hospital – CentraCare
CentraCare Health System Melrose Stearns 6/30/12 Yes 28 6 25 114 32 2 13 2 41 10 27 241 227 90 89 3 No Affiliation Carlton 9/30/12 Yes 31 7 25 329 61 4 3 33 19 99 95 17 20 122 87 12/31/12 No 271 38 303 701 2,038 Fairview Health Services St. Louis 12/31/12 No 175 16 81 89 152 93 380 241 336 336 Park Nicollet Health Services Hennepin 12/31/12 No 50 365 185 96 248 3,068 Essentia Community Hospitals and Clinics (ECHC) Duluth St. Louis 6/30/12 No 165 0 47 22 15 11 18 106 4,157 of Minnesota
Children’s Hospitals and Clinics Minneapolis Hennepin 12/31/12 No 279 171 279 433 5 69 793 4 12,585 Essentia Community Hospitals and Clinics (ECHC) Le Sueur 6/30/12 Yes 24 0 14 21 7 1 2 6 6 43 26 69 47 3 50 No Affiliation Wright 9/30/12 Yes 39 12 35 86 11 7 33 142 437 89 85 99 192 32 Area Hospital
No Affiliation Redwood 12/31/12 Yes 25 6 25 231 81 11 3 23 19 95 10 7 59 539 -40 84 58 142 County Memorial Hospital
Sanford Health Murray 12/31/12 Yes 25 2 25 179 56 1 5 13 54 12 41 77 77 Mayo Clinic Albert Lea 12/31/12 No 77 12 67 23 16 78 94 444 414 Medical Center
Sanford Health Bemidji 6/30/12 No 118 12 118 359 22 61 234 287 423 349 4,157 987 Hennepin 12/31/12 No 42 222 1,197 184 1,173 Valley Hospital
No Affiliation Bigfork Itasca 12/31/12 Yes 20 4 20 38 3 1 12 117 4 23 20 48 7 55 Hospital & Clinics
No Affiliation Northfield Dakota 12/31/12 No 37 12 37 750 204 5 7 45 113 506 1 224 511 21 Sanford Health Thief River Falls 6/30/12 Yes 99 10 35 75 7 25 39 161 54 60 293 293 Medical Center
No Affiliation Olmsted 12/31/12 No 61 16 37 684 110 10 4 21 219 822 Area Health Services
Sanford Health Ortonville Big Stone 9/30/12 Yes 25 4 25 164 59 1 27 3 48 16 45 337 73 73 146 Area Health Care System
Paynesville Stearns 9/30/12 Yes 30 6 30 141 26 1 3 15 7 69 39 33 77 411 78 62 1 141 552 Health
Sanford Health Perham Otter Tail 9/30/12 Yes 25 3 25 227 88 2 3 27 4 67 16 1 59 125 37 1 County Medical Center
Avera Health Pipestone Pipestone 6/30/12 Yes 44 12 44 194 41 4 2 19 6 75 84 37 2 66 54 120 Mayo Clinic New Prague 12/31/12 Yes 49 6 25 232 62 6 2 27 15 100 64 1 51 157 105 11 273 No Affiliation Dakota 9/30/12 No 57 12 39 117 42 8 35 57 259 212 15 143 233 325 County Hospital
No Affiliation Renville 12/31/12 Yes 35 6 25 233 120 5 5 30 3 19 28 9 52 338 32 88 5 125 No Affiliation 12/31/12 No 99 16 42 748 180 11 11 58 107 207 144 360 360 2,203 No Affiliation 12/31/12 No 20 85 311 36 261 131 352 765 4,228 No Affiliation Polk 9/30/12 Yes 49 10 25 86 1 5 24 10 110 135 1 104 205 120 63 183 Mayo Clinic Rochester Olmsted 12/31/12 No 55 311 166 5 6 102 893 2,389 No Affiliation Roseau 9/30/12 Yes 25 7 25 240 66 2 22 24 15 4 43 109 71 16 257 Medical Center
Essentia Community Hospitals and Clinics (ECHC) Pine 6/30/12 Yes 30 5 25 135 74 9 10 20 13 6 32 255 50 50 305 Medical Center
Allina Hospitals and Clinics New Ulm 12/31/12 Yes 62 14 35 765 234 51 72 76 290 190 142 359 320 320 Medical Center
No Affiliation Sleepy Eye Brown 12/31/12 Yes 25 4 16 220 58 2 3 14 5 22 25 73 333 21 49 2 72 405 Mayo Clinic Springfield Brown 12/31/12 Yes 24 6 24 278 84 1 6 46 7 38 25 87 152 50 4 54 Hospital
CentraCare Health System St. Cloud Stearns 6/30/12 No 40 465 83 506 204 2,409 Wabasha 9/30/12 Yes 31 4 23 33 2 7 7 51 47 8 28 328 54 71 78 13 Catholic Health Initiatives 6/30/12 Yes 25 8 25 279 87 8 6 39 13 89 22 35 34 229 81 1,090 Scott 12/31/12 No 93 16 86 67 34 217 762 590 1,336 Catholic Health Initiatives on
6/30/12 Yes 49 10 25 229 51 5 2 15 29 93 139 53 170 22 8 200 Mayo Clinic Red Wing Goodhue 12/31/12 No 50 7 50 202 4 3 61 119 172 271 271 Catholic Health Initiatives 6/30/12 Yes 50 10 25 532 74 5 2 25 1 60 23 36 5 133 HealthEast Care System St. Paul Ramsey 8/31/12 No 401 40 234 826 123 1,209 Essentia Community Hospitals and Clinics (ECHC) Crow Wing 6/30/12 No 162 15 162 452 105 324 162 64 467 356 466 Duluth St. Louis 12/31/12 No 18 267 122 539 277 346 879 Mayo Clinic Rochester Olmsted 12/31/12 No 26 879 283 73 718 Essentia Community Hospitals and Clinics (ECHC) 6/30/12 No 87 16 41 111 3 3 35 36 272 122 523 523 Essentia Community Hospitals and Clinics (ECHC) Duluth St. Louis 6/30/12 No 380 46 316 56 27 274 660 1,295 1,295 No Affiliation Stearns 12/31/12 Yes 28 8 20 267 46 4 4 28 17 115 12 34 433 74 35 1 110 Mayo Clinic Austin 12/31/12 No 82 10 81 279 86 375 92 77 458 333 26 235 535 402 5 HealthPartners, Inc. St. Paul Ramsey 12/31/12 No 454 26 332 738 252 2,544 Community Medical Center
No Affiliation Morris Stevens 12/31/12 Yes 54 5 25 1,074 1,074 0 1,074 91 91 Hospital
Rice Memorial Hospital Benson Swift 12/31/12 Yes 31 4 18 47 4 6 15 51 44 -89 255 55 3 58 313 Medical Center
Sanford Health Tracy 6/30/12 Yes 25 0 25 59 4 1 7 9 3 19 102 80 182 16 16 No Affiliation Wadena 12/31/12 Yes 49 6 25 6 8 62 30 168 102 5 149 -255 161 45 206 1,285 Catholic Health Initiatives 6/30/12 Yes 15 3 15 59 20 1 9 5 19 9 122 64 186 35 12 47 233 No Affiliation Wadena 12/31/12 Yes 37 8 35 121 9 82 160 81 410 60 1 135 7 65 508 District
No Affiliation Blue Earth Faribault 12/31/12 Yes 43 4 25 222 62 1 4 21 12 51 95 130 45 -72 54 144 11 209 780 40 432 241 1,703 382 4,161 Allina Hospitals and Clinics Anoka 12/31/12 No 275 36 276 558 1,200 Regional Medical Center
No Affiliation Virginia St. Louis 12/31/12 No 83 6 64 186 33 9 72 25 247 164 227 183 1,975 266 No Affiliation 12/31/12 No 109 20 96 641 35 45 161 355 527 125 1,259 No Affiliation 12/31/12 Yes 20 0 20 66 37 1 2 6 17 129 69 198 13 2 15 213 Mayo Clinic Waseca Waseca 12/31/12 Yes 35 0 19 122 39 3 6 3 11 23 207 155 333 Mayo Clinic St. James Watonwan 12/31/12 Yes 25 6 13 111 28 13 10 27 133 82 82 215 Avera Health Marshall Lyon 6/30/12 Yes 49 8 35 274 44 5 189 16 64 235 117 29 55 754 97 41 584 2,366 Sanford Health Wheaton 6/30/12 Yes 25 4 15 28 7 3 1 2 41 28 69 37 37 106 Essentia Community Hospitals and Clinics (ECHC) St. Louis 6/30/12 Yes 16 4 16 40 11 1 2 6 5 8 73 103 176 60 4 64 240 Area Hospital
Sanford Health Windom Cottonwood Yes 35 6 25 62 27 1 7 5 43 4 12 161 239 128 52 7 187 587 Medical Center
Sanford Health Worthington 6/30/12 No 48 7 30 91 2 74 21 57 40 28 49 476 59 HealthEast Care System Ramsey 8/31/12 No 184 44 184 67 45 2,701 Hennepin 12/31/12 No 92 0 92 663 663 0 663 663 Allina Hospitals and Clinics Minneapolis Hennepin 12/31/12 No 20 0 8 20 2 297 319 138 138 Fairview Health Services Minneapolis Hennepin 12/31/12 No 168 546 1,971 Fairview Health Services 12/31/12 No 61 12 52 407 23 23 147 185 432 693 693 4,228 HealthEast Care System Washington 8/31/12 No 86 20 86 394 23 20 162 190 7,481 1,762 Hospital
Maple Grove Hennepin No 90 17 84 921 149 13 3 74 238 3,662 Anoka Anoka 6/30/12 No 175 0 175 425 425 425 Shriners Hospitals for Children Minneapolis Hennepin 12/31/12 No 40 0 40 278 278 278 278 Minneapolis Hennepin 9/30/12 No 305 0 305 512 9 312 102 196 198 832 832 U.S. Department of Veterans Affairs St. Cloud Stearns 9/30/12 No 35 0 15 612 612 612 612 Dept of Human Services, State of MN Alexandria Douglas 6/30/12 No 16 0 16 203 203 203 203 Dept of Human Services, State of MN Annandale Wright 6/30/12 No 16 0 16 186 186 186 186 Dept of Human Services, State of MN Fergus Falls Otter Tail 6/30/12 No 16 0 16 201 201 201 201 Dept of Human Services, State of MN Rochester Olmsted 6/30/12 No 16 0 16 158 158 158 158 Dept of Human Services, State of MN St. Peter Nicollet 6/30/12 No 16 0 16 184 184 184 184 Dept of Human Services, State of MN Baxter Crow Wing 6/30/12 No 16 0 16 174 174 174 174 Dept of Human Services, State of MN Bemidji Beltrami 6/30/12 No 16 0 16 238 238 238 238 No Affiliation Maple Grove Hennepin 12/31/12 No 20 0 20 534 534 534 407 http://www.health.state.mn.us/divs/hpsc/dap/hccis/index.html Managed Care MNCare Admissions (Non-Managed Care) MNCare Managed Care Admissions 4)
Avera Health Tyler Lincoln Yes 20 1 20 75 46 6 23 6 29 110 36 644 347 2,843 643 650 Essentia Community Hospitals and Clinics (ECHC) Ada Norman 6/30/12 Yes 14 0 14 56 48 2 6 19 19 75 8
560 61 134 295 117 109 69 24 16 1,090 6
Catholic Health Initiatives Albany Stearns 6/30/12 Yes 17 2 17 106 100 1 5 125 31 15 79 6 237 No Affiliation Appleton Swift 9/30/12 Yes 15 1 15 111 83 10 18 2 113 No Affiliation Arlington Sibley 9/30/12 Yes 20 0 14 79 63 3 3 13 19 17 2 3 101 123 278 325 123 34 168 14 1,218 Allina Hospitals and Clinics Buffalo Wright 12/31/12 No 65 18 44 108 16 270 325 34 56 Allina Hospitals and Clinics Cambridge Isanti 12/31/12 No 86 15 86 1,113 439 34 320 586 113 73 3,787 Sanford Health Canby Yellow Medicine 6/30/12 Yes 25 4 25 235 158 27 50 63 49 14 4 302 Mayo Clinic Cannon Falls Goodhue 12/31/12 Yes 21 4 21 262 129 5 128 59 38 21 12 9 342 No Affiliation Montevideo Chippewa 12/31/12 Yes 30 6 25 347 129 26 170 122 48 19 102 793 3.3 Sanford Health Bagley Clearwater 6/30/12 Yes 25 4 25 174 53 46 75 17 13 4 5 1 197 Sanford Health Luverne Rock 6/30/12 Yes 28 5 25 410 178 59 173 95 50 45 10 1 516 1
No Affiliation Cloquet Carlton 9/30/12 Yes 36 6 25 70 163 161 85 76 13 31 948 No Affiliation Deer River Itasca 8/31/12 Yes 20 6 20 301 158 44 99 142 57 70 15 8 4 455 No Affiliation Winona Winona 9/30/12 No 99 14 50 199 305 298 68 23 2,783 8
No Affiliation Onamia Mille Lacs 9/30/12 Yes 28 3 28 590 58 165 255 167 88 24 869 No Affiliation Cook St. Louis 12/31/12 Yes 14 2 14 242 155 34 53 42 28 14 5 5 294 98 93 910 233 414 30 57 2,113 No Affiliation Alexandria Douglas 12/31/12 No 127 14 91 123 437 352 328 41 109 3,742 3.92 Sanford Health Westbrook Cottonwood 6/30/12 Yes 8 0 8 53 49 1 3 18 17 1 2 1 74 2.84 No Affiliation Ely St. Louis 9/30/12 Yes 25 3 22 283 207 12 64 58 33 25 8 349 2
Mayo Clinic Fairmont Martin 12/31/12 No 57 16 56 840 239 411 356 55 35 32 1,975 3.6 509 113 97 16 277 899 207 275 219 56 417 27 30 1,855 467 80 190 256 183 11,725 490 91 944 138 252 202 18,541 Quorum Health Resources International Falls Koochiching 12/31/12 Yes 49 11 25 357 236 15 106 105 61 44 42 2 15 3 480 36 512 78 99 28 2,324 Park Nicollet Health Services Glencoe Mcleod 12/31/12 Yes 49 8 25 118 22 218 218 14 1 797 No Affiliation Granite Falls Yellow Medicine 12/31/12 Yes 30 3 25 333 224 15 94 69 35 34 4 406 9
Allina Hospitals and Clinics Owatonna Steele 12/31/12 No 43 16 43 1,041 775 211 55 308 375 67 35 2,768 3.2 No Affiliation Hendricks Lincoln 6/30/12 Yes 24 0 19 91 83 2 6 17 16 1 2 110 142 469 1,265 127 1,113 20,582 Allina Hospitals and Clinics Hutchinson Mcleod 12/31/12 No 66 6 57 416 357 357 30 Mayo Clinic Mankato Blue Earth 12/31/12 No 272 26 184 979 979 352 158 10,670 213 479 50 51 22 Sanford Health Jackson Jackson 6/30/12 Yes 20 0 14 89 44 13 32 18 7 11 4 1 112 3.05 140 224 179 121 52 6 46 57 1,131 2.42 No Affiliation Hallock Kittson 9/30/12 Yes 15 0 15 129 111 1 17 27 11 16 1 157 Mayo Clinic Lake City Goodhue 12/31/12 Yes 18 5 18 124 7 83 50 32 18 15 3 10 5 279 149 728 299 350 130 44 3,050 158 141 341 54 31 3,719 CentraCare Health System Long Prairie Todd 6/30/12 Yes 34 10 25 136 118 14 4 206 48 58 100 20 12 374 No Affiliation Madelia Watonwan 5/31/12 Yes 25 7 25 88 54 10 24 6 6 9 2 105 No Affiliation Madison Lac Qui Parle 9/30/12 Yes 12 2 12 161 125 12 24 54 51 3 3 1 219 Sanford Health Mahnomen Mahnomen 12/31/12 Yes 18 0 10 87 65 9 13 21 21 3 7 118 No Affiliation Litchfield Meeker 12/31/12 Yes 35 4 35 541 32 16 423 127 96 200 48 12 1,024 CentraCare Health System Melrose Stearns 6/30/12 Yes 28 6 25 226 212 12 2 229 67 44 118 5 8 468 2.97 251 434 297 3 556 563 404 404 159 308 24 3,253 8,730 316 1,209 391 300 91 376 337 212 125 620 73 179 4,157 Children’s Hospitals and Clinics Minneapolis Hennepin 12/31/12 No 279 171 279 19 117 93 149 12,585 475 55 206 345 127 117 101 30 140 1,251 3.92 No Affiliation Redwood Falls Redwood 12/31/12 Yes 25 6 25 377 231 12 134 106 52 54 13 3 499 Sanford Health Slayton Murray 12/31/12 Yes 25 2 25 171 140 19 12 129 34 10 85 6 10 316 Mayo Clinic Albert Lea Freeborn 12/31/12 No 77 12 67 809 500 410 90 616 186 186 82 72 2,265 2.83 Sanford Health Bemidji Beltrami 6/30/12 No 118 12 118 664 306 608 346 165 88 5,665 4 472 21,734 No Affiliation Bigfork Itasca 12/31/12 Yes 20 4 20 251 185 18 48 93 67 13 13 7 4 355 3 No Affiliation Northfield Dakota 12/31/12 No 37 12 37 450 77 53 131 176 35 21 1,703 2.45 Sanford Health Thief River Falls Pennington 6/30/12 Yes 99 10 35 615 143 751 650 69 86 495 69 16 2,244 No Affiliation Rochester Olmsted 12/31/12 No 61 16 37 261 136 593 701 217 405 79 42 172 1,905 2.5 Sanford Health Ortonville Big Stone 9/30/12 Yes 25 4 25 273 168 24 81 43 20 23 11 10 337 Sanford Health Perham Otter Tail 9/30/12 Yes 25 3 25 808 362 128 318 17 825 3.03 Avera Health Pipestone Pipestone 6/30/12 Yes 44 12 44 172 16 260 14 2 464 Mayo Clinic New Prague Scott 12/31/12 Yes 49 6 25 318 17 261 140 98 42 10 10 756 2.91 60 63 127 142 596 50 70 1,709 No Affiliation Olivia Renville 12/31/12 Yes 35 6 25 177 161 13 3 130 44 41 45 23 8 338 232 98 20 17 3,463 369 88 276 129 129 54 21 937 629 663 168 213 16,278 117 53 64 4 54 664 3.16 Essentia Community Hospitals and Clinics (ECHC) Sandstone Pine 6/30/12 Yes 30 5 25 158 88 19 51 76 28 32 16 14 7 255 Allina Hospitals and Clinics New Ulm Brown 12/31/12 Yes 62 14 35 905 179 74 215 299 841 59 27 2,599 2.84 No Affiliation Sleepy Eye Brown 12/31/12 Yes 25 4 16 277 209 17 3 14 51 42 42 3 11 333 Mayo Clinic Springfield Brown 12/31/12 Yes 24 6 24 123 93 12 18 19 19 2 8 152 CentraCare Health System St. Cloud Stearns 6/30/12 No 489 40 465 2,992 267 26,687 350 66 274 87 42 33 12 46 18 841 3.2 320 65 479 573 128 105 5,854 2.6 6/30/12 Yes 49 10 25 700 587 49 64 644 189 121 334 29 1,373 Mayo Clinic Red Wing Goodhue 12/31/12 No 50 7 50 829 220 260 373 373 80 29 1,791 622 252 192 83 21 88 37 18 1,598 3.4 1,033 4,043 1,479 174 110 734 140 557 169 3.52 415 159 677 10,356 303 40,615 587 168 361 58 48 79 2,511 2,607 323 1,863 16,962 Mayo Clinic Austin Mower 12/31/12 No 82 10 81 380 1,028 267 523 78 54 3,668 333 691 1,189 222 833 21,892 No Affiliation Morris Stevens 12/31/12 Yes 54 5 25 541 41 32 9 252 200 146 54 54 28 12 1,074 3.2 Rice Memorial Hospital Benson Swift 12/31/12 Yes 31 4 18 164 124 5 35 86 77 9 4 1 255 3.02 Sanford Health Tracy Lyon 6/30/12 Yes 25 0 25 145 90 24 31 30 16 14 6 1 182 3.1 No Affiliation Blue Earth Faribault 12/31/12 Yes 43 4 25 393 223 30 140 139 58 50 31 17 22 571 3.19 213 556 503 24,632 845 90 320 116 No Affiliation Virginia St. Louis 12/31/12 No 83 6 64 738 94 364 525 134 212 179 79 28 1,828 4.08 177 3,015 124 517 6,146 Mayo Clinic Waseca Waseca 12/31/12 Yes 35 0 19 137 105 1 31 36 36 4 1 178 2.68 Mayo Clinic St. James Watonwan 12/31/12 Yes 25 6 13 104 59 13 32 19 12 7 4 6 133 110 279 430 51 83 1,782 3.58 Sanford Health Wheaton Traverse 6/30/12 Yes 25 4 15 67 51 4 12 1 1 69 Sanford Health Windom Cottonwood 4/30/12 Yes 35 6 25 325 190 22 113 68 13 55 2 5 400 2.83 Sanford Health Worthington Nobles 6/30/12 No 48 7 30 261 400 164 90 74 45 19 1,350 173 172 14,476 3.03 292 1,700 552 620 34,416 172 140 32 509 329 281 48 900 55 45 3,535 2.68 557 712 1,646 86 136 7,481 Fairview Health Services; North Memorial Health Care Maple Grove Hennepin 11/30/12 No 90 17 84 1,036 227 862 118 46 7,132 Dept of Human Services, State of MN Annandale Wright 6/30/12 No 16 0 16 154 59 71 71 24 18 18 18 4 10 186 Dept of Human Services, State of MN Baxter Crow Wing 6/30/12 No 16 0 16 134 61 52 52 21 30 30 30 4 6 174 571,884 Source: MDH analysis of data from annual hospital reports http://www.health.state.mn.us/divs/hpsc/dap/hccis/index.html
2
Minnesota Hospitals Admissions by Care Unit of the Hospital, Fiscal Year
2
0
1
Data current as of 2-
6
20
4
Acute Care
No
Total
HCCIS ID
Hospital Name
Affiliation
City
County
Report Year End Date
CAH
Licensed Beds
Licensed Bassinets
Available Beds
Med/Surg Admissions
Cardiac Admissions
Chemical Dependency Admissions
Mental Health (Psychiatric) Admissions
Neurology Admissions
Neonatal (exclude routine nursery) Admissions
Obstetrics Admissions
Orthopedic Admissions
Rehabilitation Admissions
Other Acute Care Specialty Admissions
Total Billing Acute Care Admissions
balancing account (discharge data to amt provided by hospital in 4
3
Total Acute Care Admissions (ties to 4
32
Routine Nursery Admissions (Births)
Swing Bed Admissions (ties to
43
24
Subacute/
Transitional Care Admissions (ties to
432
7
Other Non-Acute Care Admissions
Total Non-Acute and Nursery Care Admissions
Total Acute and Non-Acute Care Hospital Admissions (4
320
71
8
(#4
5
(#
45
31
(#
70
82
(#
76
9
(#
72
68
(# 4
30
(#
430
(# 7
27
(# 43
44
(#
75
23
(# 7
271
(# 4309)
(# 7
17
(#
80
(# 8032)
(# 8071)
(# 4
33
(# 71
77
(# 71
78
(# 7
1
79
(# 7
18
(# 7
176
1
Tyler
Avera Health
Lincoln
2/
29
12
Yes
10
87
11
13
2
Abbott Northwestern Hospital
Allina Hospitals and Clinics
Minneapolis
Hennepin
12/31/12
95
36
64
8,
90
7,018
19
3,
22
2,
433
2,023
4,5
16
6,
85
701
3,
780
39
65
-1,
52
38
130
4,
26
42
3
94
3
Essentia Health
Ada
Essentia Community Hospitals and Clinics (ECHC)
Norman
6/30/12
14
50
25
4
Riverwood HealthCare Center
No Affiliation
Aitkin
9/30/12
40
1
35
62
28
83
8
59
231
1,090
63
1,
185
5
Albany
Catholic Health Initiatives
Stearns
15
1
51
86
2
37
96
333
6
Appleton
Swift
113
172
7
Sibley
Arlington
125
-24
101
1
41
10
Bethesda LTACH
HealthEast Care System
St. Paul
Ramsey
8/31/12
2
54
126
165
1
61
89
1,
21
218
1,218
11
Buffalo
Wright
1,0
93
315
34
56
328
276
2,
88
–
120
2,
762
893
3,6
55
13
Cambridge
Isanti
1,386
337
417
5
58
141
144
541
2
67
336
4,
127
–
340
3,787
459
4,2
46
14
Sanford
Canby
Sanford Health
Yellow Medicine
121
213
302
105
142
444
15
Mayo Clinic
Cannon Falls
Goodhue
146
305
342
123
465
17
Chippewa
Montevideo
377
118
98
100
8
48
-55
793
233
1,026
19
Sanford
Bagley
Clearwater
134
2
69
-72
1
97
220
21
Sanford Hospital
Luverne
Rock
362
154
516
202
718
22
River’s Edge Hospital & Clinic
St. Peter
Nicollet
1
57
365
–
116
2
49
131
380
24
Cloquet
Carlton
60
728
948
103
1,051
25
Deer River
Itasca
252
91
558
-103
455
578
27
Winona
99
944
294
237
269
117
183
2,
227
556
2,783
3
47
347
3,130
28
Mille Lacs
Onamia
600
869
995
29
Cook
St. Louis
1
74
423
–
129
346
30
Cook County North Shore Hospital
Grand Marais
140
66
229
31
Cuyuna Regional Medical Center
Crosby
Crow Wing
3/31/12
199
437
1,676
2,113
278
2,
391
34
Douglas
Alexandria
1,
496
257
124
644
1,033
458
4,
270
-528
3,
742
590
4,
332
35
Sanford
Westbrook
Cottonwood
37
Ely
158
330
349
469
39
Mayo Clinic Health System –
Fairmont
Martin
9
73
242
219
2,
187
–
212
1,975
235
338
2,
313
41
Fairview Northland Regional Hospital
Fairview Health Services
Princeton
Sherburne
823
247
551
248
186
2,
238
-383
1,855
524
2,379
42
Fairview Ridges Hospital
Burnsville
Dakota
150
143
4,030
862
308
486
2,737
1,
663
1,
102
11,271
454
11,725
2,
360
14,085
44
Fairview Southdale Hospital
Edina
390
5,
352
2,
750
112
872
1,041
53
3,242
2,
910
2,089
18,901
-360
18,541
2,860
21,
401
45
Rainy
Lake
Quorum Health Resources
International Falls
Koochiching
2
92
562
-8
480
107
587
46
First Care Medical Services
Fosston
Polk
194
241
435
653
49
Gillette Children’s Specialty Healthcare
301
5
84
1,049
2,
236
2,
324
2,324
50
Glacial Ridge Health System
Glenwood
Pope
303
553
159
712
164
941
51
Glencoe
Park Nicollet Health Services
Mcleod
593
204
1,
180
797
201
277
1,074
53
Granite Falls
260
498
-92
406
169
575
54
Prairie Ridge Hospital & Health Services
Elbow Lake
Grant
-64
57
Owatonna
Steele
997
234
415
138
341
314
3,079
–
311
2,768
525
3,
293
58
Hendricks
110
59
Hennepin County Medical Center
894
442
7,737
1,668
404
2,243
1,599
1,
197
2,720
1,654
1,916
21,395
–
81
20,582
2,
357
22,939
61
Essentia Health Holy Trinity Hospital
Graceville
Big Stone
62
Hutchinson
844
678
359
166
2,668
-40
2,
261
259
2,520
63
Mayo Clinic Health System –
Mankato
Blue Earth
272
184
3,556
1,
467
114
495
523
394
1,515
1,
152
10,892
–
222
10,670
1,
275
11,945
64
Grand Itasca Clinic and Hospital
Grand Rapids
1,202
998
2,
200
329
2,529
65
Sanford
Jackson
66
Johnson Memorial Health Services
Dawson
Lac Qui Parle
297
67
FirstLight Health System
Mora
Kanabec
104
122
1,094
1,131
1,
296
69
Kittson
Hallock
157
175
70
Mayo Clinic Health System –
Lake City
111
295
-16
279
232
511
71
Lake Region Healthcare Corporation
Fergus Falls
Otter Tail
108
837
262
2,432
618
3,050
319
3,
369
72
Lake View Memorial Hospital
St. Luke’s Hospital
Duluth
Two Harbors
106
190
-58
132
215
74
Lakeview Memorial Hospital
HealthPartners, Inc.
Stillwater
Washington
656
535
1,391
281
3,
160
559
3,719
509
4,228
76
CentraCare Health System
Long Prairie
Todd
244
374
171
545
77
Madelia
Watonwan
5/31/12
179
78
Madison
-43
300
79
Mahnomen
80
Meeker
Litchfield
135
1,021
1,024
1,
207
81
Melrose
468
182
650
83
Mercy Hospital
Moose Lake
115
775
795
209
1,004
84 Mercy Hospital Allina Hospitals and Clinics
Coon Rapids
Anoka
255
6,
748
3,
476
1,305
1,
356
831
2,
203
2,091
2,
226
20,
539
21,
240
2,038
23,278
85
Fairview University Medical Center – Mesabi
Hibbing
1,
285
273
1,036
109
3,658
–
405
3,253
3,589
86
Park Nicollet Methodist Hospital
St. Louis Park
426
7,
684
3,103
1,194
1,053
3,
809
2,870
2,487
22,729
-903
21,
826
3,068
24,894
90
SMDC Medical Center
148
375
1,
251
161
287
2,293
1,864
4,157
91
Children’s Health Care dba
Children’s Hospitals and Clinics
3,884
569
192
1,225
7,
174
5,
411
12,585
92
Minnesota Valley Health Center
Le Sueur
119
94
New River Medical Center
Monticello
517
1,
506
-255
1,251
224
1,
475
98
Redwood
Redwood Falls
499
641
99
Murray
Slayton
361
-45
316
393
100
Mayo Clinic Health System –
Albert Lea
Freeborn
1,083
283
552
290
2,863
-598
2,265
414
2,679
102
Sanford
Bemidji
Beltrami
1,372
845
205
1,
508
5,665
987
6,652
103
North Memorial Medical Center
North Memorial Health Care
Robbinsdale
518
398
8,730
3,
512
1,956
583
1,820
3,356
2,519
24,079
-2,
345
21,
734
1,
173
22,907
104
Bigfork
137
335
355
410
105
Northfield
274
2,129
-426
1,703
532
2,235
106
Sanford Medical Center
Thief River Falls
Pennington
298
217
936
1,308
2,244
2,537
107
Olmsted
Rochester
208
992
317
2,
565
–
660
1,
905
822
2,727
108
Ortonville
363
-26
483
110
Paynesville
Paynesville Area Health Care System
334
112
Perham
494
331
825
163
988
113
Pipestone
462
464
584
114
Mayo Clinic Health System –
New Prague
Scott
560
196
756
1,029
115
Regina Medical Center
Hastings
588
1,476
1,709
325
2,034
116
Renville
Olivia
504
-166
463
117
District One Hospital
Faribault
Rice
445
1,911
-68
1,843
118
Rice Memorial Hospital
Willmar
Kandiyohi
136
1,
402
310
854
239
3,896
-433
3,463
765
119
Riverview Healthcare Association
Crookston
256
732
937
1,120
120
Mayo Clinic Methodist Hospital
794
4,469
2,363
4,120
4,
481
16,605
-327
16,278
2,389
18,
667
121
LifeCare Medical Center
Roseau
139
555
664
170
921
124
Pine
Sandstone
299
-44
127
New Ulm
Brown
420
2,240
2,599
2,919
129
Sleepy Eye
422
-89
130
Mayo Clinic Health System –
Springfield
572
-420
206
132
St. Cloud
489
4,420
2,361
634
700
1,435
1,863
1,
416
13,
622
13,065
26,687
2,409
29,096
133
Saint Elizabeth’s Medical Center
Ministry Health Care
Wabasha
145
382
162
544
134
St. Francis Medical Center
Breckenridge
Wilkin
612
841
168
249
135
St. Francis Regional Medical Center
Allina Hospitals and Clinics; Park Nicollet Health Services
Shakopee
2,366
503
452
1,337
6,328
-474
5,854
1,336
7,190
136
St. Gabriel’s Hospital
Little Falls
Morris
616
757
1,
373
1,
573
138
Mayo Clinic Health System –
Red Wing
799
376
364
2,100
-309
1,791
2,062
140
St. Joseph’s Area Health Services, Inc.
Park Rapids
Hubbard
758
840
1,598
128
1,731
141
St. Joseph’s Hospital
2,375
1,752
821
1,009
813
929
704
9,352
3,386
12,
738
1,209
13,947
142
St. Joseph’s Medical Center
Brainerd
1,
151
280
3,361
2,951
6,
312
466
6,778
143 St. Luke’s Hospital
St. Luke’s Hospital, Duluth
267
3,
693
1,313
1,066
1,071
2,047
1,027
11,501
-1,145
10,356
879
11,235
145
Saint Marys Hospital
1,265
14,516
8,
620
408
2,466
4,091
4,032
4,356
39,
563
1,052
40,
615
40,615
147
St. Mary’s Regional Health Center
Detroit Lakes
Becker
439
195
1,216
1,295
2,511
3,034
148
St. Mary’s Medical Center
2,976
1,652
557
828
1,238
8,268
8,694
16,962
18,257
149
St. Michael’s Hospital & Nursing Home
Sauk Centre
527
-94
543
150
Mayo Clinic Health System-
Austin
Mower
1,172
3,133
3,668
407
4,075
151
Regions Hospital
434
7,882
3,218
3,240
1,489
2,339
3,188
1,
900
24,578
-2,686
21,892
2,544
24,436
152
Stevens
1,165
153
Swift County-
Benson
177
344
156
Sanford
Tracy
Lyon
198
157
Tri-County Hospital
Wadena
637
167
1,334
1,079
159
LakeWood Health Center
Baudette
Lake Of The Woods
161
Lakewood Health System
Staples
479
1,538
1,545
443
2,053
162
United Hospital
643
571
163 United Hospital Allina Hospitals and Clinics St. Paul Ramsey 12/31/12 No
546
7,481
3,857
1,718
1,824
3,
967
2,
490
2,723
26,386
-1,
754
24,632
4,161
28,793
164
Unity Hospital
Fridley
210
5,087
1,160
1,
254
669
1,643
1,384
1,310
13,341
-498
1
2,843
1,200
1
4,043
167
Virginia
829
-147
1,828
266
2,094
168
Ridgeview Medical Center
Waconia
Carver
1,854
1,331
1,072
6,021
6,146
1,259
7,405
169
North Valley Health Center
Warren
Marshall
170
Mayo Clinic Health System –
Waseca
-29
178
155
171
Mayo Clinic Health System –
St. James
189
-56
172
Avera Marshall Regional Medical Center
1,028
1,782
446
174
Sanford Medical Center
Wheaton
Traverse
175
Northern Pines Medical Center
Aurora
176
Windom
4/30/12
400
177
Sanford
Worthington
Nobles
282
230
874
1,
350
388
447
1,797
180
St. John’s Hospital
Maplewood
3,098
1,015
441
322
1,992
1,150
1,514
9,644
4,
832
14,476
2,701
17,177
183
Regency Hospital of Minneapolis
Select Medical Corporation
Golden Valley
184
Phillips Eye Institute
-181
185
University of Minnesota Medical Center – Fairview
1,700
751
9,492
2,528
1,525
6,309
1,589
1,113
2,820
2,682
4,416
33,020
1,396
34,416
1,971
36,387
186
Fairview Lakes Regional Medical Center
Wyoming
Chisago
1,611
885
371
4,084
-549
3,535
187
Woodwinds Health Campus
Woodbury
1,339
1,253
1,
211
368
4,960
2,521
1,762
9,243
191
Maple Grove
Fairview Health Services; North Memorial Health Care
11/30/12
471
1,995
250
4,114
3,018
7,132
3,662
10,794
200
Anoka Metro Regional Treatment Center
Dept of Human Services, State of MN
425
210
Shriners Hospitals for Children
211
Veterans Affairs Medical Center
U.S. Department of Veterans Affairs
6,683
7,814
8,012
8,844
212
Veterans Affairs Health Care System
248
Community Behavioral Health Hospital-Alexandria
249
Community Behavioral Health Hospital –
Annandale
250
Community Behavioral Health Hospital – Fergus Falls
251
Community Behavioral Health Hospital – Rochester
252
Community Behavioral Health Hospital-St. Peter
254
Community Behavioral Health Hospital –
Baxter
256
Community Behavioral Health Hospital – Bemidji
257
PrairieCare
534
17,099
1,832
12,388
177,853
64,145
8,116
36,675
29,303
20,009
65,193
64,728
5,643
55,905
527,570
44,314
571,884
66,331
4,752
833
72,
323
644,207
Source: MDH analysis of data from annual hospital reports
Source: Health Care Cost Information System (HCCIS) Hospital Annual Report Data
health.hccis@state.mn.us &P of &N Health Care Cost Information System (HCCIS)
Minnesota Department of Health
Admissions by Payer
Minnesota Hospitals Admissions by Payer, Fiscal Year 2012
Data current as of 2-6-2012
Non-
Managed Care
HCCIS ID Hospital Name Affiliation City County Report Year End Date CAH Licensed Beds Licensed Bassinets Available Beds
Total
Non-Managed Care AdmissionsMedicare Admissions (Non-Managed Care)
MA/
MNCare Admissions (Non-Managed Care)
MA Admissions (Non-Managed Care)
Commercial Insurers, Nonprofit Health Plans Admissions
Total Managed Care Admissions
Medicare Managed Care Admissions
PMAP/
MNCare Managed Care Admissions
PMAP Managed Care Admissions
Private
(Non-Public Programs) Managed Care AdmissionsInividual (Self-Pay) Admissions
Other Payers Admissions
Total Acute Care Admissions (ties to 4320)
Average Length of Stay
(#
450
(#4531)
(#7082)
(#7279)
(#4341)
(#4342)
(#7181)
(#7183)
(#4345)
(#4343)
(#7184)
(#7185)
(#7186)
(#7188)
(#7280)
(#7189)
(#4344)
(#4340)
(#4351)
1
Tyler Healthcare Center, Inc.
2/29/12
2.42
2 Abbott Northwestern Hospital Allina Hospitals and Clinics Minneapolis Hennepin 12/31/12 No
952
17,732
15,445
1,940
19,105
2,992
13,270
38,130
4.37
3
Essentia Health Ada
2.6
4 Riverwood HealthCare Center No Affiliation Aitkin Aitkin 9/30/12 Yes 25 6 25
755
3.3
5
Albany Area Hospital and Medical Center
2.84
6
Appleton Municipal Hospital and Nursing Home
3.6
7
Sibley Medical Center
2.91
10 Bethesda LTACH HealthEast Care System St. Paul Ramsey 8/31/12 No 254 0 126 879
478
30.81
11
Buffalo Hospital
888
764
1,784
1,189
2,762
2.3
13
Cambridge Medical Center
1,
586
2,015
1,109
3.92
14
Sanford Canby Medical Center
3.58
15
Mayo Clinic Health System – Cannon Falls
2.11
17
Chippewa County-Montevideo Hospital
502
19
Sanford Bagley Medical Center
2.37
21
Sanford Hospital Luverne
3.05
22 River’s Edge Hospital & Clinic No Affiliation St. Peter Nicollet 12/31/12 Yes 17 0 17 202 140 17 45 45 42 3 2 249
2.5
24
Cloquet Memorial Hospital Association
743
510
3.35
25
Deer River HealthCare Center
2.83
27
Winona Health Services
1,657
1,153
1,035
306
431
3.4
28
Mille Lacs Health System
367
5.63
29
Cook Hospital & C&NC
2.45
30 Cook County North Shore Hospital No Affiliation Grand Marais Cook 12/31/12 Yes 16 2 16 125 56 17 52 17 15 2 5 7 154 3
31 Cuyuna Regional Medical Center No Affiliation Crosby Crow Wing 3/31/12 Yes 42 7 25
1,116
925
263
2.89
34
Douglas County Hospital
2,475
1,646
706
1,117
35
Sanford Westbrook Medical Center
37
Ely-Bloomenson Community Hospital & Nursing Home
3.2
39
Mayo Clinic Health System – Fairmont
1,497
418
41 Fairview Northland Regional Hospital Fairview Health Services Princeton Sherburne 12/31/12 No 54 10 40
899
2.59
42 Fairview Ridges Hospital Fairview Health Services Burnsville Dakota 12/31/12 No 150 48 143
5,708
3,063
547
2,098
5,578
1,017
1,228
1,038
3,333
3.34
44 Fairview Southdale Hospital Fairview Health Services Edina Hennepin 12/31/12 No 390 45 305
9,886
6,222
581
3,083
8,201
1,933
806
5,324
3.93
45
Rainy Lake Medical Center
3.03
46 First Care Medical Services Essentia Community Hospitals and Clinics (ECHC) Fosston Polk 6/30/12 Yes 43 7 22 285 167 26 92 140 85 55 9 1 435 3
49 Gillette Children’s Specialty Healthcare No Affiliation St. Paul Ramsey 12/31/12 No 60 0 60
626
1,571
292
1,279
5.09
50 Glacial Ridge Health System No Affiliation Glenwood Pope 9/30/12 Yes 34 4 19 444 296 16 132 224 76 86 62 29 15 712
3.02
51
Glencoe Regional Health Services
564
424
2.97
53
Granite Falls Municipal Hospital & Manor
3.1
54 Prairie Ridge Hospital & Health Services No Affiliation Elbow Lake Grant 12/31/12 Yes 20 2 20 123 113 6 4 38 28 10 9 1 1 3 165
3.51
57
Owatonna Hospital
1,625
942
58
Hendricks Community Hospital Association
2.69
59 Hennepin County Medical Center No Affiliation Minneapolis Hennepin 12/31/12 No 894 65 442
9,907
4,939
4,499
4,357
8,818
5,235
5,108
2,
318
744
5.78
61 Essentia Health Holy Trinity Hospital Essentia Community Hospitals and Clinics (ECHC) Graceville Big Stone 6/30/12 Yes 15 0 15 68 45 6 17 2 1 1 1 2 73
1.81
62
Hutchinson Area Health Care
1,874
986
472
2,261
3.59
63
Mayo Clinic Health System – Mankato
9,181
4,151
979
4,051
3.7
64 Grand Itasca Clinic and Hospital No Affiliation Grand Rapids Itasca 12/31/12 No 64 10 64
1,
500
808
627
354
223
2,200
3.17
65
Sanford Jackson Medical Center
66 Johnson Memorial Health Services No Affiliation Dawson Lac Qui Parle 9/30/12 Yes 20 4 20 171 112 18 41 24 24 2 5 202
3.06
67 FirstLight Health System No Affiliation Mora Kanabec 12/31/12 Yes 49 8 25
849
485
69
Kittson Memorial Healthcare Center
3.64
70
Mayo Clinic Health System – Lake City
214
2.85
71 Lake Region Healthcare Corporation No Affiliation Fergus Falls Otter Tail 9/30/12 No 108 10 108
2,227
1,350
649
3.97
72 Lake View Memorial Hospital St. Luke’s Hospital, Duluth Two Harbors Lake 12/31/12 Yes 25 1 17 98 89 4 5 30 24 6 3 1 132
3.83
74 Lakeview Memorial Hospital HealthPartners, Inc. Stillwater Washington 12/31/12 No 97 15 68
603
304
3,031
1,187
1,503
2.68
76
CentraCare Health System – Long Prairie
2.54
77
Madelia Community Hospital
3.16
78
Madison Hospital
3.52
79
Mahnomen Health Center
2.73
80
Meeker Memorial Hospital
493
5.06
81
Melrose Area Hospital – CentraCare
83 Mercy Hospital No Affiliation Moose Lake Carlton 9/30/12 Yes 31 7 25 495 293 54 148 234 88 76 70 34 32 795 2.85
84 Mercy Hospital Allina Hospitals and Clinics Coon Rapids Anoka 12/31/12 No 271 38 255
8,259
6,464
1,544
12,250
2,247
2,006
7,997
21,240
3.46
85 Fairview University Medical Center – Mesabi Fairview Health Services Hibbing St. Louis 12/31/12 No 175 16 81
2,358
1,421
381
378
4.09
86 Park Nicollet Methodist Hospital Park Nicollet Health Services St. Louis Park Hennepin 12/31/12 No 426 50 365
12,492
5,083
801
6,
608
5,137
1,
629
1,964
288
21,826
3.55
90 SMDC Medical Center Essentia Community Hospitals and Clinics (ECHC) Duluth St. Louis 6/30/12 No 165 0 148
2,572
972
1,333
6.55
91
Children’s Health Care dba Children’s Hospitals and Clinics of Minnesota
2,147
2,011
10,196
3,249
6,947
6.91
92 Minnesota Valley Health Center Essentia Community Hospitals and Clinics (ECHC) Le Sueur Le Sueur 6/30/12 Yes 24 0 14 45 41 2 2 21 14 7 2 1 69
2.49
94 New River Medical Center No Affiliation Monticello Wright 9/30/12 Yes 39 12 35
736
98
Redwood Area Hospital
2.66
99
Murray County Memorial Hospital
3.33
100
Mayo Clinic Health System – Albert Lea
1,925
102
Sanford Bemidji Medical Center
4,152
2,245
1,243
1,260
103 North Memorial Medical Center North Memorial Health Care Robbinsdale Hennepin 12/31/12 No 518 42 398
11,652
7,412
1,722
2,518
8,515
2,607
1,965
3,943
1,095
4.4
104
Bigfork Valley Hospital
105
Northfield Hospital & Clinics
580
1,067
760
106
Sanford Medical Center Thief River Falls
1,509
3.14
107
Olmsted Medical Center
990
108
Ortonville Area Health Services
3.31
110 Paynesville Area Health Care System Paynesville Area Health Care System Paynesville Stearns 9/30/12 Yes 30 6 30 313 173 10 130 90 56 34 8 411
3.08
112
Perham Health
113
Pipestone County Medical Center
448
2.31
114
Mayo Clinic Health System – New Prague
596
115 Regina Medical Center No Affiliation Hastings Dakota 9/30/12 No 57 12 39
724
601
865
2.52
116
Renville County Hospital
2.64
117 District One Hospital No Affiliation Faribault Rice 12/31/12 No 99 16 42 667 494 123 50 1,009 98 336 575 118 49 1,843
2.55
118 Rice Memorial Hospital No Affiliation Willmar Kandiyohi 12/31/12 No 136 20 85
2,656
1,217
1,207
770
672
3.54
119 Riverview Healthcare Association No Affiliation Crookston Polk 9/30/12 Yes 49 10 25
733
3.42
120 Mayo Clinic Methodist Hospital Mayo Clinic Rochester Olmsted 12/31/12 No 794 55 311
6,698
4,935
1,134
9,199
697
7,839
4.38
121 LifeCare Medical Center No Affiliation Roseau Roseau 9/30/12 Yes 25 7 25 489 203 28
258
124
Pine Medical Center
2.48
127
New Ulm Medical Center
1,158
1,355
129
Sleepy Eye Medical Center
3.36
130
Mayo Clinic Health System – Springfield
3.11
132
St. Cloud Hospital
15,250
9,591
1,786
3,873
9,
691
2,504
4,195
1,479
4.04
133 Saint Elizabeth’s Medical Center Ministry Health Care Wabasha Wabasha 9/30/12 Yes 31 4 23 273 197 20 56 100 54 16 30 6 3 382
3.24
134 St. Francis Medical Center Catholic Health Initiatives Breckenridge Wilkin 6/30/12 Yes 25 8 25
690
135 St. Francis Regional Medical Center Allina Hospitals and Clinics; Park Nicollet Health Services Shakopee Scott 12/31/12 No 93 16 86
1,991
1,606
3,630
2,578
136 St. Gabriel’s Hospital Catholic Health Initiatives Little Falls
Morrison
3.27
138
Mayo Clinic Health System – Red Wing
1,309
2.51
140 St. Joseph’s Area Health Services, Inc. Catholic Health Initiatives Park Rapids Hubbard 6/30/12 Yes 50 10 25
1,351
477
141 St. Joseph’s Hospital HealthEast Care System St. Paul Ramsey 8/31/12 No 401 40 234
8,411
4,385
2,993
1,420
1,144
12,738
4.89
142 St. Joseph’s Medical Center Essentia Community Hospitals and Clinics (ECHC) Brainerd Crow Wing 6/30/12 No 162 15 162 3,463
2,589
2,680
624
1,499
6,312
143 St. Luke’s Hospital St. Luke’s Hospital, Duluth Duluth St. Louis 12/31/12 No 267 18 267
5,181
4,281
574
326
4,403
912
677
2,814
284
488
4.39
145 Saint Marys Hospital Mayo Clinic Rochester Olmsted 12/31/12 No 1,265 26 879
19,679
15,060
1,455
3,164
19,898
2,635
1,177
16,086
735
5.48
147 St. Mary’s Regional Health Center Essentia Community Hospitals and Clinics (ECHC) Detroit Lakes Becker 6/30/12 No 87 16 41 1,797 944
286
567
2.61
148 St. Mary’s Medical Center Essentia Community Hospitals and Clinics (ECHC) Duluth St. Louis 6/30/12 No 380 46 316
11,063
6,196
2,260
3,713
1,444
638
1,631
4.53
149 St. Michael’s Hospital & Nursing Home No Affiliation Sauk Centre Stearns 12/31/12 Yes 28 8 20 259 174 19 66 161 64 53 44 3 10 433
2.74
150
Mayo Clinic Health System-Austin
2,746
1,338
790
3.19
151 Regions Hospital HealthPartners, Inc. St. Paul Ramsey 12/31/12 No 454 26 434
11,214
7,820
2,703
2,370
6,204
3,547
3,325
1,468
3,641
5.57
152
Stevens Community Medical Center
834
153
Swift County-Benson Hospital
156
Sanford Tracy Medical Center
157 Tri-County Hospital No Affiliation Wadena Wadena 12/31/12 Yes 49 6 25 742 463 49 230 303 173 130 18 16 1,079 3.24
159 LakeWood Health Center Catholic Health Initiatives Baudette Lake Of The Woods 6/30/12 Yes 15 3 15 164 88 7 69 15 15 5 2 186 3.11
161 Lakewood Health System No Affiliation Staples Wadena 12/31/12 Yes 37 8 35 967 481 123 363 504 200 136 168 66 8 1,545
4.13
162
United Hospital District
163 United Hospital Allina Hospitals and Clinics St. Paul Ramsey 12/31/12 No 546 40 432
9,419
7,535
1,671
14,154
2,223
2,771
9,160
4.08
164 Unity Hospital Allina Hospitals and Clinics Fridley Anoka 12/31/12 No 275 36 210
6,234
5,299
6,173
1,634
1,226
3,313
12,843
3.72
167
Virginia Regional Medical Center
1,196
168 Ridgeview Medical Center No Affiliation Waconia Carver 12/31/12 No 109 20 96
2,490
2,092
221
3,015
2.95
169 North Valley Health Center No Affiliation Warren Marshall 12/31/12 Yes 20 0 20 149 114 6 29 46 46 3 198
3.15
170
Mayo Clinic Health System – Waseca
171
Mayo Clinic Health System – St. James
3.67
172 Avera Marshall Regional Medical Center Avera Health Marshall Lyon 6/30/12 Yes 49 8 35 829 534 106 189
819
174
Sanford Medical Center Wheaton
3.12
175 Northern Pines Medical Center Essentia Community Hospitals and Clinics (ECHC) Aurora St. Louis 6/30/12 Yes 16 4 16 146 112 6 28 20 6 13 1 9 1 176 2.49
176
Windom Area Hospital
177
Sanford Worthington Medical Center
1,122
461
2.62
180 St. John’s Hospital HealthEast Care System Maplewood Ramsey 8/31/12 No 184 44 184
8,321
4,160
774
3,387
5,810
1,872
2,415
1,523
183 Regency Hospital of Minneapolis Select Medical Corporation Golden Valley Hennepin 12/31/12 No 92 0 92 565 319 116 130 87 87 11 663
30.33
184 Phillips Eye Institute Allina Hospitals and Clinics Minneapolis Hennepin 12/31/12 No 20 0 8 64 62 2 67 20 5 42 3 4 138
1.14
185 University of Minnesota Medical Center – Fairview Fairview Health Services Minneapolis Hennepin 12/31/12 No 1,700 168 751
16,700
7,514
3,712
3,420
5,474
16,544
5,241
4,711
530
9,603
6.18
186 Fairview Lakes Regional Medical Center Fairview Health Services Wyoming Chisago 12/31/12 No 61 12 52
1,746
1,065
1,689
460
187 Woodwinds Health Campus HealthEast Care System Woodbury Washington 8/31/12 No 86 20 86
4,594
2,116
1,921
2,665
307
2.72
191
Maple Grove Hospital
2,732
1,469
4,236
457
2,917
2.53
200 Anoka Metro Regional Treatment Center Dept of Human Services, State of MN Anoka Anoka 6/30/12 No 175 0 175 314 118 17 17 179 28 28 28 83 425
93.12
210 Shriners Hospitals for Children Shriners Hospitals for Children Minneapolis Hennepin 12/31/12 No 40 0 40 33 4 29 131 2 129 44 70 278
2.56
211 Veterans Affairs Medical Center U.S. Department of Veterans Affairs Minneapolis Hennepin 9/30/12 No 305 0 305 8,012 8,012
6.46
212 Veterans Affairs Health Care System U.S. Department of Veterans Affairs St. Cloud Stearns 9/30/12 No 35 0 15 612 612 612
3.32
248 Community Behavioral Health Hospital-Alexandria Dept of Human Services, State of MN Alexandria Douglas 6/30/12 No 16 0 16 155 53 58 58 44 37 37 37 3 8 203
22.59
249
Community Behavioral Health Hospital – Annandale
26.01
250 Community Behavioral Health Hospital – Fergus Falls Dept of Human Services, State of MN Fergus Falls Otter Tail 6/30/12 No 16 0 16 152 63 60 60 29 35 35 35 4 10 201
20.28
251 Community Behavioral Health Hospital – Rochester Dept of Human Services, State of MN Rochester Olmsted 6/30/12 No 16 0 16 126 60 41 41 25 18 18 18 9 5 158
22.77
252 Community Behavioral Health Hospital-St. Peter Dept of Human Services, State of MN St. Peter Nicollet 6/30/12 No 16 0 16 159 70 59 59 30 14 14 14 7 4 184
25.91
254
Community Behavioral Health Hospital – Baxter
26.49
256 Community Behavioral Health Hospital – Bemidji Dept of Human Services, State of MN Bemidji Beltrami 6/30/12 No 16 0 16 186 64 95 95 27 29 29 29 4 19 238
17.14
257 PrairieCare No Affiliation Maple Grove Hennepin 12/31/12 No 20 0 20 52 52 471 471 11 534
12.09
17,099 1,832 12,388
296,452
183,044
45,122
13,335
1,352
68,286
238,501
50,359
54,813
17,110
1,442
133,329
11,736
25,195
775.69
Source: Health Care Cost Information System (HCCIS) Hospital Annual Report Data
health.hccis@state.mn.us
&P of &N Health Care Cost Information System (HCCIS)
Minnesota Department of Health