Harmonizing Data and Facilitating Its Use Across Entities to Advance the Learning Health Care System

The promises of a learning health system are endless. Intelligent automation could reduce clinician burden. Clinical decision support systems may lead providers and patients to the best treatment option. Major federal initiatives are focused on putting the patient at the center of the healthcare system. Real-time surveillance systems could track epidemiological phenomena. Predictive models may well identify individuals at high-risk of adverse events.

During a recent AcademyHealth 2018 Annual Research Meeting (ARM) session titled The Learning Healthcare System: Promises vs Realities, panelists discussed converging forces pushing the development of large integrated healthcare organizations as learning healthcare systems.

In this blog post, Kim Warren, Carlos Ramos Gomez-Rejón, and Anne Gauthier share perspectives on the ARM18 discussion, outlining ideas to advance creation of a learning health system by connecting diverse data sources and stakeholders.

Related resources:

• CMS’s Promoting Interoperability program
• The Office of the National Coordinator’s efforts to promote application programming interfaces
• Predictive models may well identify individuals at high-risk of adverse events.
• The Standard Health Record Collaborative
• Empowering patients in their own care.
• Putting patients at the center of the healthcare system
• Pathway to Patient Data Ownership and Better Health