Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51383, first published .
Optimizing ChatGPT’s Interpretation and Reporting of Delirium Assessment Outcomes: Exploratory Study

Optimizing ChatGPT’s Interpretation and Reporting of Delirium Assessment Outcomes: Exploratory Study

Optimizing ChatGPT’s Interpretation and Reporting of Delirium Assessment Outcomes: Exploratory Study

Yong K Choi   1 * , MPH, PhD ;   Shih-Yin Lin   2 * , MM, MPH, PhD ;   Donna Marie Fick   3 , RN, PhD ;   Richard W Shulman   4, 5 , MDCM ;   Sangil Lee   6 , MD, MS ;   Priyanka Shrestha   7 , RN, MGS, PhD ;   Kate Santoso   2 , RN, BSN

1 Department of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States

2 Rory Meyers College of Nursing, New York University, New York, NY, United States

3 Ross and Carol Nese College of Nursing, Penn State University, University Park, PA, United States

4 Trillium Health Partners, Toronto, ON, Canada

5 Division of Geriatric Psychiatry, Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada

6 Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, United States

7 Community of Policy, Populations and Systems, George Washington University School of Nursing, Washington, DC, United States

*these authors contributed equally

Corresponding Author:

  • Yong K Choi, MPH, PhD
  • Department of Health Information Management
  • School of Health and Rehabilitation Sciences
  • University of Pittsburgh
  • 6051B Forbes Tower
  • Pittsburgh, PA, 15260
  • United States
  • Phone: 1 412-624-6442
  • Email: yong.choi@pitt.edu