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This research will examine a State-subsidized integration of prescription drug monitoring programs (PDMPs) into electronic health record systems and its impact on PDMP use and provider prescribing behavior.
This study will integrate a previously piloted risk tool and clinical decision aid, MammoScreen, with an EHR to provide personalized decision support for both patients and clinicians to improve quality of care for women who are at increased risk for breast cancer.
The overall goal of the research is to advance the integration and use of patient-generated digital health data in ambulatory care settings.
This research will create patient-centered, interoperable, shareable clinical decision support tools that will support providers and patients in making patient-centered decisions about management of hypertension.
This project will develop a series of standards for electronic health records to ensure adequate and accurate data communication for care team members in the intensive care environment.
The research team identified key information needs for clinicians providing and coordinating care for patients with complex medical, social, and economic needs, and developed and tested design principles for electronic health record systems to support social determinants of health data capture and clinical decision support.
This project conducted a large scale systematic review to synthesize existing evidence on health information exchange use and effectiveness.
This project evaluated the impact of an integrated care coordination information system (ICCIS) on the outcomes and satisfaction of patients with chronic and complex illnesses.
This project refined a set of asthma care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
This project investigated the feasibility and impact of novel approaches to clinician decision support in multidisciplinary ambulatory care, emphasizing high-risk transitions of care.