Search found 10 items
This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.
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.
This project used a mixed-method approach to investigate the validity of using electronic health record data for diabetes performance measures.
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.
Created a secure infrastructure for communication among providers to allow electronic sharing of patient clinical information with hospitals and other physicians/health providers in the county, region, and State; also assessed the effectiveness of the system in improving workflow, timeliness and completeness of information, patient safety, continuity of care, and health outcomes.
Evaluated the effects of a Web portal-based patient empowerment program and EMR system on quality of care, patient safety, and utilization for patients with diabetes and physicians in primary care practices.