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MedCV: An Interactive Visualization System for Patient Cohort Identification from Medical Claim Data.
Chanda, Ashis Kumar; Bai, Tian; Egleston, Brian L; Vucetic, Slobodan.
Afiliação
  • Chanda AK; Temple University, PA, USA.
  • Bai T; Temple University, PA, USA.
  • Egleston BL; Fox Chase Cancer Center, PA, USA.
  • Vucetic S; Temple University, PA, USA.
Proc ACM Int Conf Inf Knowl Manag ; 2022: 4828-4832, 2022 Oct.
Article em En | MEDLINE | ID: mdl-36636516
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article