Discovering Primary Medical Procedures and their Associations with Other Procedures in HCUP Data
Mamoun T. Mardini () and
Zbigniew W. Raś ()
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Mamoun T. Mardini: University of Florida
Zbigniew W. Raś: University of North Carolina
Information Systems Frontiers, 2022, vol. 24, issue 1, No 8, 133-147
Abstract In recent years, healthcare spending has risen and become a burden on governments especially in the US. The selection of the primary medical procedure by physicians is the first step in the patient treatment process and is considered to be one of the main causes for hospital readmissions if it is not done correctly. In this paper, we propose a system that can identify with high accuracy the primary medical procedure for a newly admitted patient. We propose three approaches to anticipate which medical procedure should be primary. Additionally, we propose the procedure graph, which shows all possible paths that a new patient may undertake during the course of treatment. Finally, we extract the possible associations between the primary procedure and other procedures in the same hospital visit. The results show the ability of our proposed system to identify which procedure should be primary and extract its associations with other procedures.
Keywords: Hospital readmission reduction; Clustering; Personalization; Recommender systems (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:24:y:2022:i:1:d:10.1007_s10796-020-10058-9
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