research-article

Choice variation on electronic health database: a case study of medical decision mapping from healthcare scheme of Thailand

Author:

Praowpan TansitpongAuthors Info & Claims

ICMHI '22: Proceedings of the 6th International Conference on Medical and Health Informatics

Pages 94 - 101

https://doi.org/10.1145/3545729.3545749

Published: 13 October 2022 Publication History

ICMHI '22: Proceedings of the 6th International Conference on Medical and Health Informatics

Choice variation on electronic health database: a case study of medical decision mapping from healthcare scheme of Thailand

Pages 94 - 101

Abstract
References

Abstract

The goal of this study is to develop a model for tracking and monitoring medical records in hospitals with limited database and computing resources. Electronic health records were collected from regional hospitals in Thailand with prescribing guidelines from the national public health administration, as health care management is complicated by a wide range of drug options and a wide range of health benefit options. The cost of treatment for patients with chronic diseases was also significantly higher than for patients with other diseases, according to the regression analysis. Patients with universal coverage plans have seen lower healthcare costs as a result of regulations and differentiation in the service of multiple health benefit programs.

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Cited By

Tansitpong P(2024)Optimizing Cancer Patient Classification Forecasting With Bayesian Pattern RecognitionInternational Journal of Healthcare Information Systems and Informatics10.4018/IJHISI.35124419:1(1-21)Online publication date: 14-Aug-2024
https://doi.org/10.4018/IJHISI.351244

Index Terms

Choice variation on electronic health database: a case study of medical decision mapping from healthcare scheme of Thailand
1. Applied computing
  1. Operations research
    1. Decision analysis
2. Information systems
  1. Data management systems
    1. Database management system engines
      1. Record and buffer management

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ICMHI '22: Proceedings of the 6th International Conference on Medical and Health Informatics

May 2022

329 pages

ISBN:9781450396301

DOI:10.1145/3545729

Copyright © 2022 ACM.

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Published: 13 October 2022

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ICMHI 2022

ICMHI 2022: 2022 6th International Conference on Medical and Health Informatics

May 13 - 15, 2022

Virtual Event, Japan

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Cited By

Tansitpong P(2024)Optimizing Cancer Patient Classification Forecasting With Bayesian Pattern RecognitionInternational Journal of Healthcare Information Systems and Informatics10.4018/IJHISI.35124419:1(1-21)Online publication date: 14-Aug-2024
https://doi.org/10.4018/IJHISI.351244

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