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Search found 9 items
This project will redesign approaches for collecting and using allergy information with the goal of improving healthcare quality and safety, including completeness and accuracy of allergy data.
This project will develop and test a personalized motivational text messaging intervention to improve management of diabetes and depression in low-income populations.
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 will refine the Leapfrog Computerized Provider Order Entry (CPOE)/Electronic Health Record (EHR) test – a “flight simulator” for EHRs with CPOE which evaluates the safety performance of EHRs after deployment, with a particular focus on high impact patient safety and medication safety problems.
The Center for Education and Research on Therapeutics (CERTs) Program focused on translating health information technology research into improved clinical practices related to medication safety, effectiveness, and cost.
This study examined the association between electronic health record use and care coordination and clinical care quality for patients with diabetes, and how team working relationships modify these effects.
The goal of this study was to develop and evaluate electronic health record-based tools to improve diagnosis and treatment of overweight and obesity in primary care.
Performed a rigorous evaluation of the impact of a statewide implementation program on EHR adoption by rural and non-rural ambulatory care practices and its impact on medication errors and the quality of ambulatory care as a collaborative effort among providers, insurers, and businesses in cooperation with the state government.
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.