Retrospective Study
Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jun 26, 2020; 8(12): 2484-2493
Published online Jun 26, 2020. doi: 10.12998/wjcc.v8.i12.2484
Research on diagnosis-related group grouping of inpatient medical expenditure in colorectal cancer patients based on a decision tree model
Suo-Wei Wu, Qi Pan, Tong Chen
Suo-Wei Wu, Qi Pan, Tong Chen, Department of Medical Administration, Beijing Hospital, Beijing 100730, China
Author contributions: Wu SW and Pan Q performed the research; Chen T designed the study; Wu SW wrote the paper; Pan Q revised the manuscript.
Institutional review board statement: This study was reviewed and approved by the Beijing Hospital.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: We have no financial relationships to disclose.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Tong Chen, MD, Professor, Department of Medical Administration, Beijing Hospital, No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing 100730, China. chentong@bjhmoh.cn
Received: February 26, 2020
Peer-review started: February 26, 2020
First decision: March 31, 2020
Revised: May 25, 2020
Accepted: May 30, 2020
Article in press: May 30, 2020
Published online: June 26, 2020
Core Tip

Core tip: This study analyzed the influencing factors on inpatient medical expenditure in colorectal cancer patients and the grouping results of diagnosis-related groups (DRGs) payment. A decision tree model based on the exhaustive χ2 automatic interaction detector algorithm for DRG grouping was built by setting chosen factors as separation nodes, and the payment standard of each diagnostic group and upper limit cost were calculated. By reorganizing and verifying the grouping payment standards through the practical study of real cases, the study provided a theoretical basis and validation methodology for the full implementation of DRGs payment management.