Appraise multiple methods of data resources and data collections used in diverse populations.
Effective population health management programs require healthcare providers to rely heavily on big data derived from both their own health IT systems, from their business partners, and from state and federal database sets that are available for providers.
Providers, payers, and other stakeholders must choose the right big data sources to support their population health management initiatives. To develop a comprehensive portrait of a patient’s clinical, financial, and social risks, healthcare providers must aggregate key data from across the care continuum before they can leverage risk scoring frameworks and target interventions to individuals.
Your task as a PHM program leader is to focus on a specific population health medical case that is critical for your local population, such as diabetes management, asthma care, heart disease, or smoking cessation, etc. For this assessment perform the following:
Identify big data sources and types for your health system population health management program that was introduced in the module 01 summative assessment. Then describe what specific various data elements are needed to help providers make immediate gains in patient well-being while developing best practices for future initiatives.<
Assess how learning to use more readily available data, like demographics, ICD-10 codes, and ADT alerts, will be a vital first step for eventually integrating much more complex and varied big data into the population health management ecosystem.
Submit a short, APA formatted, paper that address the above items. You are expected to use five quality references to support your assessment and findings in this assessment.
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