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This project evaluated the impact of an electronic health record on the quality of diabetes care as measured by compliance with recommended processes of care and patient outcome measures.
This project used a mixed-method approach to investigate the validity of using electronic health record data for diabetes performance measures.
The study identified “hidden” costs – resources and staff time – that provider practices and health care organizations must consider when planning for EHR implementation.
This project used health information technology to identify patients for whom a diagnosis of prostate, lung, or colon cancer had been delayed.
The findings of this study demonstrated that electronic health record-based trigger methods can enable more meaningful measurement and surveillance of diagnostic errors in primary care.