To help you to better understand why case mix is important to managed care and r
ID: 247145 • Letter: T
Question
To help you to better understand why case mix is important to managed care and reimbursement methods; here are some fictional heart attack mortality rates for three different hospitals. Consider the national average for heart attack death rates to be 16%.
Hospital
Mortality Rate
National Mortality Rate
Hospital A
16.1%
16%
Hospital B
18.6%
Hospital C
15.7%
Part I
Write a brief report in which you answer the following questions:
Explain case mix and why it is important in evaluating different health care providers.
Refer to the table of heart attack mortality rates for Hospitals A, B, and C. From your reading this week, what variables might be impacting the rates in the table? Please explain and discuss the use of data analysis for evaluating this kind of information.
Part II
You are a staff member at Hospital B, which has the worst mortality rate from heart attacks as seen in the table. Imagine that the administrator for Hospital B has asked you to appear at a Press Conference to share your knowledge about case mix.
Hospital
Mortality Rate
National Mortality Rate
Hospital A
16.1%
16%
Hospital B
18.6%
Hospital C
15.7%
After participating in the Press Conference, write a 1-page summary to explain the use of date for decision-making purposes, and how the technology department performs critical core business processes essential to the managed care organization.
Hospital
Mortality Rate
National Mortality Rate
Hospital A
16.1%
16%
Hospital B
18.6%
Hospital C
15.7%
Explanation / Answer
Case mix inndex (CMI) is a value which describes the system which aggregates information about patients and associated procedures into groups based on the type and mix of the patients treated. Case-mix classifications provide the health care industry with a consistent method of classifying types of patients, their treatment and associated costs. It is imporatant to evaluating the different health centres, how they treat the mix patients in different situations. It statistically related the patients and health care providers.
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