This project will institute an air-traffic control-like command center to facilitate increased adherence to best-practice principles and superior intraoperative care, ultimately improving postoperative quality of recovery and patient outcomes.
This project will design and test information technology for older adults with chronic heart failure.
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 project will develop and test a large set of alerts at two large health systems to demonstrate that alerts can help prevent wrong-drug and wrong-patient errors and improve the completeness of the problem list.
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 aims to improve access to high quality mental health services for diverse populations by implementing asynchronous telepsychiatry consultations combined with automated online interpreting.
This study will design a user-centered smartphone application linked to a smart pill box with the goal of improving medication adherence for people living with HIV.
This project will create and evaluate a prototype redesigned clinical exam room layout that incorporates the use of health information technology tools to improve workflow and patient-centeredness.
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.