This project will develop and evaluate an electronic health record-embedded clinical decision support tool that draws upon the strength of analytical and naturalistic decision-making to optimize the use of blood cultures in critically ill children.
The goal of this project is to develop and evaluate an air traffic control-like command center for operating rooms.
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 develop a clinical decision support tool for the perioperative setting.
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 integrate an existing Natural Language Processing system into neurology clinical practice and develop a decision support mechanism to alert providers about patients with epilepsy who are potential surgical candidates with the goal to shorten the time to surgical evaluation for eligible patients.
This pilot project will implement a Social Knowledge Networking system to support progress toward “meaningful use” of medication reconciliation technology in an electronic health record.
This project will provide patients direct access to their cancer genomic sequencing results through a Web-based portal, Helping Oncology Patients Explore-Genomics (HOPE-Genomics).
This project will design and implement a care coordination system using a smartphone application that sends location-based alerts to care managers when high-risk patients receive care at a regional hospital or emergency room.
This project will create and evaluate a tool that gathers patient and family member feedback on pediatric care. The tool will make the feedback rapidly available to providers through a dashboard to enable timely and responsive safety improvement efforts.