The Next Chapter of Enterprise Analytics for Payers Part 1: How Mature is your Enterprise Data Warehouse?
In part 1 of this blog series, we explore enterprise data warehouse (EDW) maturity, and how payers can evaluate this asset against measurable characteristics of a mature EDW.
The Next Chapter of Enterprise Analytics for Payers Part 3: What is Your Enterprise Analytics Roadmap?
This final installment of this blog series focuses on developing the enterprise analytics roadmap
The Next Chapter of Enterprise Analytics for Payers Part 2: Is Your Data Ready for Advanced Analytics?
Part 2 of this blog series covers data management and how payers can institute a series of quality checks to evaluate the completeness and validity of the data.
This post introduces a three-part blog series that evaluates considerations for payers that want to leverage proven analytics in their own technology environments.
This white paper describes an ideal care management solution that would not only be able to connect all the dots that constitute the determinants of health, but would also surface personalized insights that could enhance care and help activate individuals to self-management.
Nirav Vakharia, MD, Associate Chief Quality Officer of Enterprise Quality and Vice Chairman of Population Health at Cleveland Clinic explains the rationale for clinical risk stratification, guidance on how to better identify and define chronic disease cohorts, and the impact on quality and utilization.
In part one of this two-part series, we explored the issues pertaining to data integration. In part two, we explore workflow integration. In addition, we look at technology known as Fast Healthcare Interoperability Resources (FHIR), and how it will facilitate the integration of outside applications with electronic health records to support population health management.
Listen to the replay of this webinar "Cognitive Computing in IBM Watson Health: Research and Development" with Eric Brown, PhD, Director Foundational Innovation at IBM Watson Health and Jianying Hu, PhD, Distinguished RSM and Senior Manager, Center for Computational Health at IBM Research.
This two-part series reviews how today's technology can address challenges in data infrastructure
Healthcare delivery already relies on a variety of predictive analytics. More advanced models, including cognitive computing, are now entering the market to help improve healthcare outcomes.
How can healthcare systems create the interoperability needed to aggregate and analyze data from disparate sources to effectively manage population health?
Listen to this replay of the webinar "Managing Population Health and Avoiding Physician Burnout: Can You do Both?” with Paul DeChant, MD, MBA, Senior Advisor at IBM Watson Health and Bridget Searles, RN, MS, Clinical Sales Consultant at IBM Watson Health.