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This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This project will develop decision support tools that integrate with electronic health records to increase the quality and effectiveness of chronic pain care.
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of 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.
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.
The Indiana Network for Patient Care, an operational health information exchange (HIE) in central Indiana, is one of six AHRQ sponsored State and Regional demonstration projects begun in late 2004 and early 2005 to create State or regional HIEs.