Search found 28 items
This research will enhance and test a tool which uses natural language processing to provide a real-time assessment of dialog during motivational interviewing training.
This project will examine health information exchange (HIE) usage patterns, the barriers and facilitators of HIE use, and the impact of HIE use by emergency department clinicians.
This project will study the impact of errors in medical documents on quality of care and develop innovative natural language processing methods to automatically detect errors so that physicians can correct the documents before finalizing them in the electronic health record.
This project evaluated the use of two patient-centered telemedicine technologies, telephonic and video counseling, for patients with substance use disorders.
The researchers developed a mobile health application to distribute evidence-based pain self-management strategies to patients with juvenile idiopathic arthritis.
This study evaluated a smoking cessation program using interactive voice recognition technology and found that the intervention successfully reduced unplanned hospital readmissions and costs.
This project developed, implemented, and evaluated a voice-generated enhanced electronic note system and found that it did not improve the time to finalize notes or clinician satisfaction.
This study found increased rates for some screening and preventative services following adoption of federally-certified electronic health records.
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 established the feasibility of extracting quality indicators from hospice electronic medical records for comparative effectiveness research.