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This project will evaluate the effects of a technology-based patient-reported outcomes system on patient management of type 2 diabetes in primary care practices.
This project will adapt and evaluate a mobile health application to improve patient-reported asthma outcomes in New York.
This project determined care priorities for patients with multiple chronic conditions based on patient needs, preferences, and capabilities and developed a set of recommendations for patients and providers.
This study aimed to improve care transitions for low-income patients with multiple chronic conditions using health information exchange, and found significant reductions in inpatient and emergency department utilization.
This project implemented an electronic health record-based weight loss maintenance intervention and found medium-term success for patients assigned to the intervention.
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 demonstration project was conducted to evaluate whether the Unified Health Resource, a combined personal health record, an electronic medical record (EMR), and a communication system, led to more patient-centered care in rural communities in the Intermountain West.
This project evaluated how the implementation of a secure e-mail messaging (e-messaging) system between clinicians and patients affects provider efficiency, utilization of emergency department for medication refills, and patients’ satisfaction.
Evaluated the effects of staggered installation of an Epic health IT system that includes an EMR with provider order entry and clinical decision support in primary care settings on quality, safety, and resource use within a large integrated delivery system on cohort of 780,000 members with chronic illnesses.
Assesses the value of health IT to clinicians through creation of CDSS tools integrated with clinical documentation workflow and physician performance feedback, its impact on clinical decision support and quality assessment, and its cost-effectiveness.