Orthopedics

Researchers developed and tested a shared decision-making tool that integrates patient-reported outcomes, electronic health record data, and predictive analytics to support personalized treatment decisions for knee osteoarthritis, significantly improving decision quality and patient-provider collaboration.

This research developed, tested, and evaluated visual presentations of patient-reported outcome (PRO) scores to facilitate the usability and understanding of PRO scores by patients and providers to improve shared decision making.

This research worked with orthopedic surgeons and their patients on patient-reported outcome measures (PROMs) and found that patients prefer simple tools around individualized goals; that text reminders improve response rates for PROMs; and that, while surgeons perceive that aggregate PROMs reports have value, provision of performance comparison reports did not improve outcomes over a 5-month period.

This project developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.

This project developed and pilot-tested TJR App, a mobile application designed to help patients with osteoarthritis track their pain and activity, and found that app users were more likely to track symptoms consistently, when compared to non-users.

Planned the implementation of an HIE using a secure fiber optic connection between community care providers to share patient demographic, medical records, laboratory results, and radiographic images.