Prescribing Decision Support System for Patient Safety and to Prevent Fraud and Overspending in Indonesian National Health Insurance

Daniel Chriswinanto Adityo Nugroho, Lukas Chrisantyo, Katherina Adisaputro, Ardhinta Septarda, Yosep Parlindungan Naibaho, Emily Chia Yu Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Prescription errors can have serious consequences, leading to harm and increased healthcare costs. Therefore, the development of Prescription Decision Support Systems (DSS) is crucial. This is a knowledge-based DSS, consisting of symptoms data dictionary, drug data dictionary, and a symptoms-drug relationship. The DSS helps prevent omission errors, overprescribing, and fraud by generating warning messages if physicians input non-matched symptoms with listed drugs or prescribe non-formulary drugs for National Health Insurance patients.

Original languageEnglish
Title of host publicationICMHI 2023 - 2023 the 7th International Conference on Medical and Health Informatics
PublisherAssociation for Computing Machinery
Pages235-238
Number of pages4
ISBN (Electronic)9798400700712
DOIs
Publication statusPublished - May 12 2023
Event7th International Conference on Medical and Health Informatics, ICMHI 2023 - Kyoto, Japan
Duration: May 12 2023May 14 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Medical and Health Informatics, ICMHI 2023
Country/TerritoryJapan
CityKyoto
Period5/12/235/14/23

Keywords

  • fraud detection
  • patient safety
  • prescribing

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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