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This research will examine the evidence around the value of order sets, while uncovering clinician perceptions that hinder their efficient use.
This study will evaluate the effectiveness of patient photographs displayed in electronic health record systems for preventing wrong-patient errors.
This project will evaluate a computerized provider order entry (CPOE)-based function—medication voiding—that can be used to prospectively identify and document medication ordering errors.
The project will develop and test a large set of alerts at two large health systems to demonstrate that alerts can help prevent wrong-drug and wrong-patient errors and improve the completeness of the problem list.
This project compared the risk of orders placed on the wrong electronic patient record when providers were limited to having one patient record open at a time versus up to four and found no difference in errors between the two.
This project convened stakeholder panels to inform the development of an indications-enabled computerized prescriber order entry system.
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.
This project developed and implemented a large-scale approach to measuring the impact of health information technology on the quality and variability of care in ambulatory settings, and along racial and ethnic lines.
This Centers for Education and Research on Therapeutics-funded project was focused on the improvement of patient safety through the development and refinement of tools for safer medication use.
This project developed, implemented, and evaluated the impact of a computerized tool to automatically identify tests with pending results at hospital discharge, and assist in communicating those to followup providers.