This project developed key findings and recommendations to achieving a national-scale “Learning Health System” for identifying and sharing effective practices of care.
This project expanded and modified the Child Health Improvement through Computer Automation (CHICA) system to assist pediatricians in identifying and managing four common medical-legal problems that may adversely impact child health, and found initial findings to be inconclusive.
This research developed and pilot-tested a sleep promotion toolkit (SLEEPkit), an application designed to facilitate routine sleep assessment and inform individualized plans for sleep promotion.
This project developed and tested a tablet-based decision aid to assist primary care providers in applying patient-reported outcomes to smoking cessation and found that the tool facilitated more conversations about smoking cessation between patients and providers.
The objectives of the 2015 and 2016 AMIA Policy Invitational meetings are to develop consensus recommendations on policy to improve health information technology for patient care, facilitate research, and manage the health of populations.
This project developed and pilot tested an electronic after-visit summary (AVS) that incorporated evidence-based strategies for communicating printed health information to patients and determined best practices for future AVS development.
This project tested a mobile health application for HIV symptom management for people living with HIV and found an improvement in symptoms.
This project evaluated the use of an in-room interactive monitor to improve patient-centered care and family engagement within a pediatric intensive care unit.
This project tested the impact of a training module that teaches clinicians how to best communicate with patients in the presence of an electronic health record and found improvements in provider communication skills, but no impact on patient outcomes.
This project developed a diabetes data visualization mobile application for adolescents and found that clinical and contextual data provided greater opportunity for self management and problem solving.
