Enhancing Medication CPOE Safety and Quality by Indications-Based Prescribing
This project convened stakeholder panels to inform the development of an indications-enabled computerized prescriber order entry system.
This project convened stakeholder panels to inform the development of an indications-enabled computerized prescriber order entry system.
This research showed that automated measurement of electronic order errors can be readily integrated into electronic health records to study the epidemiology of order errors and to test the effectiveness of proposed system improvements on order error outcomes.
This pilot project implemented a Social Knowledge Networking system and concluded that it supported progress toward meaningful use of medication reconciliation technology in an electronic health record.
This research assessed the etiology of medication ordering errors, finding that errors stemmed from multi-level risk factors and showing the utility of a void alert tool to prospectively capture the broad range of errors that may occur in practice that may be missed by using traditional retrospective error reporting methods.
This study showed the feasibility and value of creating a methodology and process for a health information technology black box to inform electronic health record design and usability.
This research explores the effectiveness of an e-prescribing tool to electronically communicate medication discontinuation orders between electronic health records and pharmacies.
This research successfully adapted and evaluated scaling of the Enhancing Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department medication safety program to an additional commercial electronic health record and added additional sites, finding a significant reduction in potentially inappropriate medication prescribing in the emergency department setting.
This research will examine a State-subsidized integration of prescription drug monitoring programs (PDMPs) into electronic health record systems and its impact on PDMP use and provider prescribing behavior.