Data Visualization


Development and Assessment of Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology

Description

This research develops and evaluates an artificial intelligence-enhanced pretreatment peer-review process in radiation oncology, aiming to improve patient safety by reducing variability among providers in treatment planning, minimizing clinical errors, and enhancing overall treatment outcomes.

Grant Number
R18 HS029474
Principal Investigator(s)

Improving Pediatric Donor Heart Utilization with Predictive Analytics

Description

This study aims to optimize the use of donor hearts for infants and children awaiting heart transplantation by developing predictive models to assess in real-time the potential for transplant success and to evaluate risk. Researchers plan to display these data through intuitive visualizations on a custom-built interface to reduce clinicians’ cognitive burden, enhance decision making confidence, and help ensure the best donor match for pediatric patients.

Grant Number
R21 HS029548
Principal Investigator(s)

Patient perceptions of an electronic-health-record-based rheumatoid arthritis outcomes dashboard: A mixed-methods study.

Principal Investigator

A step-by-step roadmap for the development and deployment of an electronic health record sidecar application that tracks patient outcomes: The RA PRO dashboard.

Principal Investigator

i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data into Diabetes Management - Final Report

Principal Investigator

Work system barriers and facilitators of a team health information technology.

Principal Investigator

Investigation of a mobile health texting tool for embedding patient-reported data into diabetes management (i-Matter): Development and usability study.

Principal Investigator