Search found 13 items
This project will integrate an existing Natural Language Processing system into neurology clinical practice and develop a decision support mechanism to alert providers about patients with epilepsy who are potential surgical candidates with the goal to shorten the time to surgical evaluation for eligible patients.
This project will formulate evidence-based recommendations for clinical decision support used by community pharmacist delivering medication therapy management. The goal is to reduce medication-related problems and improve health outcomes for chronically ill patients.
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 expanded and modified the Child Health Improvement through Computer Automation (CHICA) system to assist pediatricians in identifying and managing four common medical-legal problems that may adversely impact child health, and found initial findings to be inconclusive.
This project implemented clinical decision support and clinical messaging to improve clinician reporting of notifiable conditions to public health agencies.
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.
This project evaluated the Pharmaceutical Safety Tracking (PhaST) system, which monitors medication safety in children and adolescents who are taking antidepressants.