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Leveraging Expert Content and Data-Based Evidence for Enhanced Healthcare Decision Making

Expert content, data-based evidence, and AI algorithms can drive better decision-making for patients, clinicians, and healthcare managers. User-generated and expert-generated content, along with health management tools, contribute to public reporting and transparency in healthcare pricing and performance. Centralized data repositories and algorithms for achieving transparency play a crucial role in clarifying value propositions across healthcare services. This text emphasizes the use of analytics for achieving a more transparent and effective healthcare system.

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Leveraging Expert Content and Data-Based Evidence for Enhanced Healthcare Decision Making

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  1. Expert content, data-based evidence and artificial intelligence algorithms can drive better decision making for patients, clinicians, health managers and purchasers. User-Generated Content PHR Decision Support Patients and caregivers advising others, sharing family histories, and more. Expert- Generated Content & Search EMR If open about their analytical approaches, public & private groups can credibly report comparative pricing and performance information. Health Mgmt Tools Public Reporting Vendor Mgmt ID Best Practice Pricing/Performance Transparency ID Patients at Risk Centralized Data Repository Claims Clinical Drug Lab Image Data sources mapped to a common format (e.g., CCR). Providers (By Specialty/Service) Payers (By Health Plan Class) Drugs, Devices, Equipment, Supplies Treatments/Interventions Pricing/performance transparency will clarify the value propositions across providers, payers, drugs, etc. Algorithms for achieving transparency (e.g., ETGs, DxCGs, CRGs, APR-DRGs) should be well-accepted and their approaches transparent. Analytics A Broad Vision of Health 2.0 Reformulating Data for Transparency, Decision Support & Revitalized Health Care Markets Brian Klepper and Jane Sarasohn-Kahn, October, 2007

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