MedCV: An Interactive Visualization System for Patient Cohort Identification from Medical Claim Data

Overview

Journal Proc ACM Int Conf Inf Knowl Manag

Date 2023 Jan 13

PMID 36636516

Authors

Ashis Kumar Chanda

Tian Bai

Brian L Egleston

Slobodan Vucetic

Affiliations

Soon will be listed here.

Abstract

Healthcare providers generate a medical claim after every patient visit. A medical claim consists of a list of medical codes describing the diagnosis and any treatment provided during the visit. Medical claims have been popular in medical research as a data source for retrospective cohort studies. This paper introduces a medical claim visualization system (MedCV) that supports cohort selection from medical claim data. MedCV was developed as part of a design study in collaboration with clinical researchers and statisticians. It helps a researcher to define inclusion rules for cohort selection by revealing relationships between medical codes and visualizing medical claims and patient timelines. Evaluation of our system through a user study indicates that MedCV enables domain experts to define high-quality inclusion rules in a time-efficient manner.

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