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Enhancing Decision Making with Deep Reinforcement Learning in a Context of Novel Coronavirus Outbreak: an Example in Emergency Department

Published: 15 October 2020 Publication History

Abstract

Physicians in hospitals are expected to improve treatment outcome and reduce health care costs. Information systems have been widely adopted in hospitals but not been properly integrated to provide information for decision support. The objective of this research is trying to validate the feasibility of enhancing hospital resource planning system in decision support by utilizing data stored in multiple systems in the hospital with a deep reinforcement learning approach to assist medical practitioner making a more accurate and efficient decision. Following the Design Science Research Method, this research is going to build an artefact to utilize data from electronic health record (EHR) and hospital resource planning (HRP) to provide medical decision support in the emergency department setting.

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  1. Enhancing Decision Making with Deep Reinforcement Learning in a Context of Novel Coronavirus Outbreak: an Example in Emergency Department

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    ICMHI '20: Proceedings of the 4th International Conference on Medical and Health Informatics
    August 2020
    316 pages
    ISBN:9781450377768
    DOI:10.1145/3418094
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 15 October 2020

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    Author Tags

    1. Decision Making
    2. Deep Reinforcement Learning
    3. Electronic Health Record
    4. Emergency Department
    5. Hospital Information System
    6. Hospital Resource Planning

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