Task:
Managing the quality and cost of co-morbid populations is one of the most challenging aspects of health leadership. In this assignment, you are challenged with selecting the data which will help manage Medicare populations. As health information exchanges (HIEs) progress at the state, federal, and nation levels, health leaders are tasked to develop analytics tools that can be used to pull data and inform policy practice.
Scenario:
Review the high-volume Medicare Data Scenario Download Medicare Data Scenario. In this scenario, you are asked to work with a complex dataset of co-morbidity data of patients with three concurrent co-morbid conditions (Chronic Condition Triads: Prevalence and Medicare Spending). This assignment aims to show how data from health informatics systems can formulate useful information to improve patient care and population outcomes for a target group or population.
Instructions:
You are required to prepare the following:
Identify specific types of data (data sets, standards, examples of those data) that can be redeveloped into Big Data tools and used to address the management of population health initiatives.
Define a “Big Data” analysis dataset to include in a data warehouse by identifying two specific types of clinical and financial data from the Chronic Condition Triads: Prevalence and Medicare Spending dataset in your Learning Resources that you feel could be used to drive behavior change in the patient and provider populations. This Big Data dataset will become the focus of your discussion.
Explain why the two specific types of clinical and financial data you selected as your Big Data dataset would best affect behavior change in the type of co-morbid Medicare populations served in the scenario. Explain and assess how this Big Data dataset can change the behaviors of healthcare providers in the scenario. Assuming that your Big Data dataset will be shared in a regional health information exchange, explain how the Centers for Medicare and Medicaid Services and private payers might use these regional data sets to increase value in delivering services to co-morbid Medicare patient population regions.
Prepare a 2- to 3-page paper. Cite 4 reference sources. Note that title and reference pages and other supplemental information do not count toward the page count listed above.
Use APA 7th writing style to format your paper.