AI-Powered Reporting for Improved Hospital Efficiency

Authors

Joel C. Laskow, Southern Methodist UniversityFollow
Chris Papesh, University of Nevada, Las VegasFollow
Srishti Awasthi, University of Nevada, Las VegasFollow
Jacquelyn CheunFollow

Abstract

This study explores the feasibility of an AI-powered chatbot for HIPAA-aligned intake of emergency room patients seeking treatment for overdose and violence. The system utilizes AWS Amplify, an encrypted EC2 instance, and a secure S3 Bucket house on Amazon Web Services. Chat functionality is powered by a multi-agentic framework operating on Anthropic’s Claude Sonnet 4. Manual evaluation and exact match testing reveal the system reliably obtains and records relevant information during intake. Future work will focus on expanding accessibility by integrating voice functionality, obtaining HIPAA compliance certifications, and incorporating the chat system into existing healthcare networks.

Recommended Citation

Laskow, Joel C.; Papesh, Chris; Awasthi, Srishti; and Cheun, Jacquelyn (2025) "AI-Powered Reporting for Improved Hospital Efficiency," SMU Data Science Review: Vol. 9: No. 3, Article 11.
Available at: https://scholar.smu.edu/datasciencereview/vol9/iss3/11

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License