Leveraging chatGPT for improved patient outcomes in a busy emergency department

Jerry Jacob; Shruthi Deshpande; Roger Shannon D’Souza; Y Harikrishna; D M Chandrakeerthy; Rahul Jain; Shivani Vhora; H V Hanumesh

doi:10.53730/ijhs.v7nS1.14399

Leveraging chatGPT for improved patient outcomes in a busy emergency department

https://doi.org/10.53730/ijhs.v7nS1.14399

Authors

Jerry Jacob
jerryjacob123@gmail.com
Senior Resident, Department of Emergency Medicine, Ramaiah Medical College, Bengaluru
Shruthi Deshpande Senior Resident, Department of Emergency Medicine, Ramaiah Medical College, Bengaluru
Roger Shannon D’Souza Senior Resident, Department of Emergency Medicine, Ramaiah Medical College, Bengaluru
Harikrishna Y Senior Resident, Department of Emergency Medicine, Ramaiah Medical College, Bengaluru
Chandrakeerthy D M Junior Resident, Department of Emergency Medicine, Ramaiah Medical College, Bengaluru
Rahul Jain Junior Resident, Department of Emergency Medicine, Ramaiah Medical College, Bengaluru
Shivani Vhora Junior Resident, Department of Emergency Medicine, Ramaiah Medical College, Bengaluru
Hanumesh H V Junior Resident, Department of Emergency Medicine, Ramaiah Medical College, Bangalore

Keywords:

Emergency departments (EDs), chatGPT, poor compliance

Abstract

Emergency departments (EDs) often face challenges related to high patient volumes, leading to overcrowding, increased wait times, and potential compromises in patient care.¹ This research project aims to explore the potential utilization of ChatGPT, an AI-based chatbot powered by OpenAI's language model, to decongest a busy ED and improve patient outcomes. By leveraging the capabilities of ChatGPT, we aim to enhance patient triage, optimize resource allocation, and improve communication and patient education within the ED setting.¹In the NHS based in the UK wait times for green cases can be hours long leading to bitter experiences and poor compliance.

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References

Smith et al. (2019). Simulation training for emergency medicine residents: A systematic review and meta-analysis. Emergency Medicine Australasia, 31(1), 17-29.

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Biswas, S. (2023). ChatGPT and the future of medical writing. Radiology 3, 223312. doi: 10.1148./radiol.223312

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Kharat, A. (2022). Artificial Intelligence And Its Role In Healthcare. Available online at: https://www.entrepreneur.com/en-in/technology/artificial-intelligence-and-its-role-in-healthcare (accessed March 7, 2023)

Published

02-07-2023

How to Cite

Jacob, J., Deshpande, S., D’Souza, R. S., Harikrishna, Y., Chandrakeerthy, D. M., Jain, R., Vhora, S., & Hanumesh, H. V. (2023). Leveraging chatGPT for improved patient outcomes in a busy emergency department. International Journal of Health Sciences, 7(S1), 1809–1812. https://doi.org/10.53730/ijhs.v7nS1.14399

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Issue

Vol. 7 No. S1 (2023)

Section

Peer Review Articles

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