Track 3: Shareable Knowledge Artifacts Across the Learning Health System
Meeting the promise of improved value of digital measurement means that the process must produce knowledge that is useful, actionable and shareable across the healthcare system. This track will take a deep look at the role dQMs play in the learning health system and how the standards used for digital measurement can improve the quality of patient-provider interactions.
Session 1: July 13 | 1:45 – 3:00 PM ET
Introduction to the Learning Health System (LHS) and Digital Quality Knowledge Objects
Session 2: July 13 | 4:15 -5:15 PM ET
Assemble, Analyze, Interpret: Acquiring and analyzing data for digital quality measurement
Session 3: July 14 | 12:05 -1:35 PM ET
Sharing Clinical Knowledge
Session 4: July 14 | 3:40 – 5:00 PM ET
Applying Knowledge: Clinical decision making and care planning with patient level predictions
Session 5: July 15 | 12:15 – 1:30 PM ET
Taking Action: Setting patient-focused care goals that ultimately generate new evidence
Benjamin Hamlin, MPH
Sr Research Informaticist, Quality Measurement and Research Group, NCQA
Benjamin N. Hamlin, MPH is the Senior Research Informaticist in the Department of Performance Measurement at NCQA specializing in clinical quality, context-specific decision support and the use of predictive analytics for quality improvement. He is a nationally recognized leader in transformative quality strategies and the principal architect of the HEDIS electronic clinical data system (ECDS) quality measure reporting protocol (www.ncqa.org/ecds). A specialist in application of Clinical Quality Language (CQL) and Fast Healthcare Interoperability Resource (FHIR) standards to quality measurement, he currently leads the initiative to digitalize NCQA’s entire portfolio of measurement products.
Throughout his career, Ben has conducted a wide array of health-related research including strategies for comprehensive chronic disease management, facilitating community-based clinical translational research, identifying health disparities, and designing strategies for the development of healthcare infrastructure in underserved and/or underdeveloped areas.
His principal area of expertise is in quality measurement using multidimensional assessment models for assessing quality of patient-centered care. His research encompasses the cognitive theorems for human-technology interfaces and how these can augment comprehension of healthcare information.
Principal, Chief Technology Officer, Alphora
Bryn Rhodes is a key contributor and Subject Matter Expert in the Clinical Quality Framework Initiative, primarily involved with the development and support of the Clinical Quality Language Specification. His expertise in Clinical Decision Support stems from implementation experience building a real-time Clinical Decision Support system for an industry leading Electronic Health Records system. With 20 years in software development, he has a broad range of implementation experience, from desktop client/server line-of-business and medical applications to enterprise and web-scale information systems. His career has focused on the expression and implementation of logic systems, from simple printer-command and build automation interpreters, through full-scale database query compilers and 4GL interface engines. This focus brings a unique and important perspective to bear on the problem of accurate and automatable sharing of clinical quality logic as expressed in knowledge artifacts for Clinical Decision Support and Clinical Quality Measurement.