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This project determined care priorities for patients with multiple chronic conditions based on patient needs, preferences, and capabilities and developed a set of recommendations for patients and providers.
This study aimed to improve care transitions for low-income patients with multiple chronic conditions using health information exchange, and found significant reductions in inpatient and emergency department utilization.
This project identified strategies that mitigate the stress associated with provider use of health information and communications technologies.
This project developed, implemented, and assessed a patient data collection and clinician feedback system for depression care management in primary care practices, and found improvements in patient medication filling and adherence.
This project developed and pilot tested a screening module and clinical decision support system for adolescents’ behavioral health.
This project designed and developed a clinical decision support tool called VisualDecisionLinc (VDL) to aid in the initial treatment strategies for major depressive disorder.
In order to develop a research agenda on the intersection between mental health and health information technology, this project convened a workshop between AHRQ and the National Institute of Mental Health.
Systematically assessed improvements in patient safety and experience of care associated with implementation of four decision support function embedded in an electronic health record: 1) the influence of weight based dosing on pediatric adverse drug events; 2) the influence of a test result tracking system on appropriate followup of ordered tests; 3) the influence of automated reminders on symptom monitoring and medications for children with asthma and attention deficit disorder.