Search found 12 items
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 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 implemented a large-scale approach to measuring the impact of health information technology on the quality and variability of care in ambulatory settings, and along racial and ethnic lines.
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.
The objective of this study was to compare the effectiveness of patient-accessed teledermatology to traditional in-person office visits for followup management of atopic dermatitis.
This project supported the 4th Annual Pediatric Telehealth Colloquium, held in September 2009 in Palm Springs, California.
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.
This project developed two e-Prescribing implementation toolsets, one for independent pharmacies, and the other for health care provider organizations.
This project, one of five grants awarded by the Agency for Healthcare Research and Quality to conduct electronic prescribing (e-prescribing) pilots, evaluated six standards that were being considered for e-prescribing under Medicare Part D.
Develop a comprehensive plan for health IT implementation and integration by assessing specific clinical and organizational needs, feasibility of health IT implementation, defining project parameters, developing the implementation plan, and specifying procedures for ongoing evaluation and feedback.