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.
Original language | English |
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Pages (from-to) | 4828-4832 |
Number of pages | 5 |
Journal | Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management |
Volume | 2022 |
DOIs | |
State | Published - Sep 2022 |
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Biostatistics and Bioinformatics Facility
Ross, PhD, ScM, E. A. (Director), Devarajan, PhD, K. (Staff), Zhou, PhD, Y. (Staff), Zhou, MSE, PhD, Y. (Staff), Egleston, PhD, MPP, B. (Staff), Hasler, PhD, J. S. (Staff) & Zhang, PhD, L. (Staff)
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