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Search found 8 items
This research will develop, test, and evaluate a vendor-agnostic platform for clinical decision support rules that can be made available to any commercial electronic health record.
This study will test the hypothesis that low-income, disadvantaged patients can provide high-quality patient-generated health data and patient-reported outcomes through commercial technologies, and that these data can be used to improve healthcare quality and delivery.
This project will analyze and model the information requirements, decisionmaking, and workflow of homecare nurses admitting patients and characterize if and how health information technology systems support their needs.
This research investigated how electronic health record use affected clinical workflow, efficiency, and quality of care in the emergency department, and developed recommendations for future stages of Meaningful Use.
The goal of this research was to document the ability of low-income, multiethnic older adults to use information technology applications for personal health information management.
While health information technology (IT) systems are expected to significantly reduce medication errors, studies have found that issues with usability and information design can actually facilitate errors or decrease the efficiency gains made possible by health IT.
This research focused on the design, implementation, and evaluation of a comprehensive, practical, and innovative model of care delivery that incorporates shared decisionmaking.
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.