Hello, I need help with this discussion, it has to be 250-350 or more words about the scenario.

This what I need to discuss:

Post by Day 3:

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 health care providers in the scenario. Assuming that your Big Data dataset is going to 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 populations in the region.

This is information about the scenario that will help you:

. In this scenario you are asked to work with a complex dataset of co-morbidity data of patients that have three concurrent co-morbid conditions (Chronic Condition Triads: Prevalence and Medicare Spending). How can data from HIT systems be used to formulate useful information to facilitate in the management of this population?

Scenario

Medicare Data Scenario

Examine the CMS Chronic Conditions Triads: Prevalence and Medicare Spendingspreadsheet located in your Learning Resources. Familiarize yourself with CMS dataregarding chronic conditions and Medicare spending (CMS.gov), beginning with the firsttab in the spreadsheet, titled Overview, that summarizes the data sources, studypopulation chronic conditions, and socio-demographic variables involved in the data.Note that the remainder of this data set presents five years of data on various triads ofchronic conditions that represent material co-morbidities studied by CMS.With the CMS development of ACOs (accountable care organizations) there is anemphasis on managing certain chronic conditions to minimize hospital readmissions.The pro-active medical management of heart failure, specifically CHF (congestive heartfailure), is a focus in trying to prevent unnecessary hospital admissions. In the medicalmanagement of this condition and associated comorbidities such as diabetes chronickidney disease and hyperlipidemia, patients must manage both their fluid intake andmaintain a rigorous regime of medication such as beta-blockers. A lack of medicationcompliance and or fluid management in these patients often results in repeatedemergency room visits and or hospital readmissions to stabilize physiologic parameters.In this scenario assume you are an administrator of an integrated delivery network whois working with CMS on developing an ACO. Using these historical, five year data onCMS patients with comorbidities related to Heart Failure and per capita spending, youare asked to work with an IT analyst to lead the design of the functional requirementsfor the data warehouse. This business intelligence application will upload informationfrom your organization to CMS as a part of the ACO. Senior leaders want to understandwhich HIT systems and which data within those HIT systems will be required tocontribute relevant information to CMS regarding comorbidities on heart failure patients.They also want to understand the availability of those data and the level of quality ofthose data in the organization, as they will be key to the financial parameters set withinthe ACO agreement.