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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 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 developed and tested a tablet-based decision aid to assist primary care providers in applying patient-reported outcomes to smoking cessation and found that the tool facilitated more conversations about smoking cessation between patients and providers.
This project tested a pediatric voice therapy telehealth system and found that it was feasible to implement and well accepted by children and their families.
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.
Created an information management environment that integrated patient care data, standardized practice variation and use of best practices, and supported the delivery of a seamless continuum of patient care throughout the health system through CPOE.
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.
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.