This research will develop and validate advanced statistical and machine learning methods to assess and improve representational semantic integrity of terminologies in large clinical databases.
This effort will convene a workshop entitled “Workshop to Inform Technology Innovation and Research for Medicaid Programs” to identify challenges faced by Medicaid beneficiaries and programs that are amenable to technology, ideate prototype solutions, and disseminate the findings.
This contract provided the administration and management of the Agency for Healthcare Research and Quality's “Step Up App Challenge: Advancing Care Through Patient Self-Assessments.”
The Electronic Data Methods Forum is charged with advancing the national dialogue on the infrastructure and methods of health research and quality improvement using electronic clinical data, with the goal of improving patient care and outcomes.
The Electronic Data Methods (EDM) Forum facilitated learning and collaboration among researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning health systems that will improve patient care and outcomes.
This project assessed the feasibility and measurability care coordination activities and found that the electronic health record was infrequently used to support care coordination.
This project, the Technologies for Enhancing Access to Health Management (TEAhM) project, was a pilot study which implemented and evaluated telehealth kiosks in community-based senior centers.
This case study examined four different HIE organizations to explore stakeholders’ perspectives on benefits and barriers of participating in health information exchange.
The Research Agenda for a Patient-Centered Medical Home (PCMH) conference convened a multidisciplinary group to discuss the research agenda needed to move PCMH from a demonstration model to an evidenced-based standard of care.
In this project, the National Quality Forum reconvened the Health Information Technology Expert Panel (HITEP-II) to gather, synthesize, and refine clinical workflow maps, focusing on care processes related to the previously prioritized set of measures.
