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This research will develop and disseminate sharable, interoperable drug-drug interaction decision-making tools that enable patient-centered shared decision making.
This project will evaluate the feasibility of implementing a quality improvement-driven, health information technology-enabled method for capturing patient-reported outcomes (PROs) after ambulatory surgical procedures.
This research supported the development of electronic applications that enable the collection of diverse patient-reported outcome measures in a standardized manner across health providers and systems to enable broader data sharing for clinical care and research.
The central goal of the annual Conference on Health IT & Analytics is to develop a health information technology and analytics (HIT+A) research agenda that supports national efforts to create a learning health system that produces evidence to make health care safer, of higher quality, more accessible, equitable, and affordable.
The investigators used a mixed-methods approach to incorporate quantitative and qualitative research in developing and validating a health IT adaptation survey.
The Patient-Centered Outcomes Research Clinical Decision Support Learning Network (PCOR CDS-LN) will explore the facilitators and barriers to the use of PCOR findings in CDS software and will formulate recommendations for ways to increase the uptake and use of CDS incorporating PCOR findings.
This research studied errors in medical documents created with speech recognition software and developed natural language processing methods to detect such errors.
This project evaluated the feasibility of two Stage 3 Meaningful Use Care Coordination measures and provided feedback to policymakers and providers for their improvement.
This project provided input to inform the development of nine proposed Stage 3 MU objectives focused on patient engagement, interoperability, and care coordination.
This project evaluated select Stage 3 Meaningful Use criteria in the Patient and Family Engagement, Care Coordination, and Interoperability domains and developed recommendations to improve them and increase their value to hospitals and practices implementing them.