Real-Time Monitoring System to Manage Mental Healthcare Emergency Unit

Samy Housbane; Adil Khoubila; Khaoula Ajbal; Mohamed Agoub; Omar Battas; Mohamed Bennani Othmani

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자료유형: 학술저널

저자정보: Samy Housbane (University Hassan II) Adil Khoubila (University Hassan II) Khaoula Ajbal (University Hassan II) Mohamed Agoub (University Hassan II) Omar Battas (University Hassan II) Mohamed Bennani Othmani (Laboratory of Medical Informatics Faculty of Medicine and Pharmacy University of Hassan II Casabla)

저널정보: 대한의료정보학회 Healthcare Informatics Research Healthcare Informatics Research 제26권 제4호

발행연도: 2020.1

수록면: 344 - 350 (7page)

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Objectives: Real-time relevant information helps guide the healthcare decision-making process in daily clinical practice aswell as the management and optimization of healthcare processes. However, proprietary business intelligence suite solutionssupporting the production of decision-making information requires investment that is out of reach of small and mediumsizedhealthcare facilities or those with limited resources, particularly in developing countries. This paper describes our experiencein designing and implementing a real-time healthcare monitoring system solution to manage healthcare emergencyunits. Methods: Through the use of free Business Intelligence tools and Python data science language we designed a realtimemonitoring system, which was implemented to explore the Electronic Medical Records system of a university mentalhealth emergency unit and render an electronic dashboard to support health professional daily practice. Results: Three maindashboards were created to monitor patient waiting time, to access the clinical notes summary for the next waiting patient,and to obtain insights into activity during the last 24 hours. Conclusions: The designed system could serve as a monitoringsupport model using free and user-friendly data science tools, which are good alternatives to proprietary business intelligencesolutions and drastically reduce cost. Still, the key to success in decision-making systems is based on investment in humanresources, business intelligence skills training, the organizational aspect of the decision-making process, and data productionquality insurance.

#Health Information Systems #Data Science #Decision Support Systems #Clinical #Decision-Making #Computer-Assisted #Clinical Informatics

참고문헌 (12)

참고문헌 신청

Leonardo Juan Ramirez Lopez / 2019 / Internet of Things Applied in Healthcare Based on Open Hardware with Low-Energy Consumption / Healthcare Informatics Research 25(3):230~235

박영택 / 2016 / Constructing a Real-Time Prescription Drug Monitoring System / Healthcare Informatics Research 22(3):178~185

Shah J. Miah / 2019 / Follow-Up Decision Support Tool for Public Healthcare: A Design Research Perspective / Healthcare Informatics Research 25(4):313~323

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Martinez DA / 2018 / An electronic dashboard to monitor patient flow at the Johns Hopkins Hospital : communication of key performance indicators using the Donabedian model / J Med Syst 42(8):133

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