Events Calendar

Automatic Evaluation of Clinical Notes Generated from Doctor-Patient-Conversations

Speaker: Mojtaba Elyaderani, Data Science Specialist - Solventum Corporation, Health Information Systems Business

Talk Title: Automatic Evaluation of Clinical Notes Generated from Doctor-Patient-Conversations

Abstract: Detailed detailed clinical documentation based on doctor-patient conversations is a necessary yet burdensome task for physicians and is often cited as one of the leading causes of physician burn-out. One way to reduce the documentation workload on physicians is to hire medical scribes, who assist in writing clinical notes. However, this option is costly and difficult to scale, putting it beyond the reach of many practitioners. This has led to the emergence of the ``ambient clinical documentation'' framework, where the conversation between doctor and patient is recorded and transcribed (with the patient's permission) and passed to a clinically trained Language Model (LM) which generates the corresponding note. Despite the recent improvements in their performance, modern LMs still make many errors that are unacceptable in a medical setting and can generate clinical notes that are of poor quality. For example, they may miss critical information, contain hallucinated content, or include important information in wrong note sections. Delivering poor-quality notes to physicians can be an extra burden, potentially resulting in a more time-consuming note creation process than simply starting from scratch. This proves the necessity of evaluating LM-generated clinical notes in a scalable and efficient manner. In this presentation we will introduce few such approaches and examine their weaknesses and strengths.    
 
This lecture satisfies requirements for CSCI 591: Research Colloquium.    
 
Zoom Link: https://usc.zoom.us/j/95154565194?pwd=LMaaRHXgKCeabJ7UxufaOW3HUu5Ys2.1
 
   

Host: Associate Prof. Meisam Razaviyayn

Webcast: https://usc.zoom.us/j/95154565194?pwd=LMaaRHXgKCeabJ7UxufaOW3HUu5Ys2.1

Location: Olin Hall of Engineering (OHE) - 136

WebCast Link: https://usc.zoom.us/j/95154565194?pwd=LMaaRHXgKCeabJ7UxufaOW3HUu5Ys2.1

Audiences: Everyone Is Invited

Contact: Thomas Lord Department of Computer Science