This project developed a new application called the Integrated Medication Manager (IMM), which presents to clinicians an integrated representation of a patient’s status and care process over time.
This project studied electronic health record use, workflow, physician-patient communication, cognitive load, and user satisfaction and found multiple factors that influence physicians' work practices and perceived workload.
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.
This study supported the notion that the current focus on quality of care for diabetics favors providers that start with panels where a majority of patients already have good control.
This project analyzed a clinical decision support tool for colorectal cancer screening that was integrated into an ambulatory clinical workflow.
This project used health information technology to identify patients for whom a diagnosis of prostate, lung, or colon cancer had been delayed.
This project developed a Veterans Affairs-optimized fracture absolute risk assessment rule for identifying males at highest risk of osteoporotic fracture.
This project aimed to capture and understand how clinical work is actually done, and then to analyze how the efficiency and quality of care could be measurably improved through health information technology.
This study examined clinical decision task complexity to guide the design of innovative clinical decision support to for high-level reasoning in complex decision tasks.
This research studied the barriers and usability of electronic and personal health records, developed a framework of best practices for design, and validated that framework with functional prototypes.
