Search found 11 items
This research will use a clinical decision support tool to identify patients at high risk for type 2 diabetes and text message these patients, offering them in-clinic hemoglobin A1c testing.
This project will develop decision support tools that integrate with electronic health records to increase the quality and effectiveness of chronic pain care.
This project integrated a validated anxiety-specific screening tool in an existing clinical decision support system and tested it with a randomized feasibility pilot that found the tool did not increase detection of anxiety in pediatric primary care.
This project assessed provider mental workload and performance while processing electronic abnormal test results and found that a test result tracking mechanism improved physicians’ clinical performance.
This project conducted a systematic literature review to catalogue study designs used to evaluate the clinical effectiveness of clinical decision support and knowledge management systems.
The project sought to determine if a computer decision support system integrated with routine care could improve standardized developmental screening during early well-child visits and surveillance for developmental disabilities at all pediatric visits.
The goal of this project was to design, develop, and evaluate a method of providing medication data from the Indiana Network for Patient Care to ambulatory primary care practices in order to enhance health care quality
This project analyzed a clinical decision support tool for colorectal cancer screening that was integrated into an ambulatory clinical workflow.
The goal of this project was to promote increased adherence to evidence-based pharmacotherapy guidelines through both traditional clinic-based and newer models of care.
Assessed the costs and benefits of health IT in an established community-wide network of academic, private and public healthcare facilities created to share clinical information for the purpose of population-based care management of Medicaid beneficiaries.