Publication:
Constructing a Novel Early Warning Algorithm for Global Budget Payments

cris.lastimport.scopus2026-03-05T16:02:15Z
dc.contributorNational Taiwan University of Sport
dc.creatorChang, Che-Wei
dc.creatorChang, CW
dc.creator張哲維
dc.date2020-11
dc.date.accessioned2021-10-30T05:22:51Z
dc.date.accessioned2025-07-28T14:40:05Z
dc.date.available2021-10-30T05:22:51Z
dc.date.issued2021-10-30T05:22:51Z
dc.description.abstractThe National Health Insurance Administration of Taiwan has implemented global budget payments, the Diagnosis-Related Group (DRG) inpatient diagnosis-related group payment system, and the same-disease payment system, in order to decrease the financial burden of medical expenditure. However, the benefit system reduces the income of doctors and hospitals. This study proposed an early warning payment algorithm that applies data analytics technology to diabetes hospitalization- and treatment-related fees. A model was constructed based on the characteristics of the Exponentially Weighted Moving Average (EWMA) algorithm to develop control charts, which were first employed using the 2001-2017 health insurance statistical database released by the Department of Health Insurance (DHI). This model was used to simulate data from inpatients with diabetes, to create an early warning algorithm for diagnosis-related groups' (DRGs') medical payments as well as to measure its accuracy. This study will provide a reference for the formulation of payment policies by the DHI.
dc.format.extent104 bytes
dc.format.mimetypetext/html
dc.identifier.doi10.3390/math8112006
dc.identifier.issn2227-7390
dc.identifier.urihttps://ir.ntus.edu.tw/handle/987654321/65369
dc.languageen_US
dc.publisherBASEL, SWITZERLAND: MDPI
dc.relationMATHEMATICS, 8(11)
dc.subjectmachine learning
dc.subjectstatistical model
dc.subjectdecision science analysis
dc.subjectglobal payment
dc.subjectExponentially Weighted Moving Average (EWMA)
dc.subjectearly warning system decision model
dc.titleConstructing a Novel Early Warning Algorithm for Global Budget Payments
dc.typearticle
dspace.entity.typePublication

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
index.html
Size:
104 B
Format:
Hypertext Markup Language
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
702 B
Format:
Plain Text
Description:

Collections