Search found 24 items
The goal of this project is to design and test an information technology called Power to the People to support self-care management among older patients with chronic heart failure.
This project will clarify the relationship between “pull” and “push” health information exchange usage in primary care settings, and determine the impact of each approach on potentially avoidable and costly health care utilization.
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 tested a mobile health application for a centralized, pharmacist-managed cardiovascular risk service to improve patient engagement in self-management of cardiovascular risk.
This project informed Stage 3 Meaningful Use requirements by evaluating metrics related to identification of delirium in real time and improving accuracy of the problem list, thus potentially improving care for patients with delirium.
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 integrated an electronic medication reconciliation system with an electronic prescribing system and evaluated whether the resulting system altered the rate of medication reconciliation and the incidence of medication errors.
This project developed, implemented, and evaluated the impact of a computerized tool to automatically identify tests with pending results at hospital discharge, and assist in communicating those to followup providers.