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ThinkMind // GLOBAL HEALTH 2016, The Fifth International Conference on Global Health Challenges // View article global_health_2016_2_20_70047


A Monte Carlo Simulation Based-Approach for Medical Equipment Risks Forecasting

Authors:
Sahar Ismail
Hassan Nehme
Mohamad Hajj-Hassan
Bassam Hussein
Hassan M. Khachfe

Keywords: medical equipment; risk management; FMEA; Monte Carlo simulation.

Abstract:
As any technology, medical equipments provide benefits to patients, but they also present significant risks that can affect and compromise patient safety. In healthcare organizations, clinical engineering departments play a vital role in maintaining the safety and reliability of medical equipments. In order to mitigate failures of such equipments and control risks, a proper Medical Equipment Management Program (MEMP) should be established. The purpose of this paper is to forecast risks by using Failure Mode and Effect Analysis (FMEA) method and apply it on Monte Carlo simulation which adds risks analysis to Excel® by @RISK tool. The data of some medical devices is extracted from a hospital’s maintenance management system and are identified according to their likelihood, severity, and difficulty of detection. However, the results of this mathematical simulation are integrated in a probability distribution function that enables us to identify medical equipments risks that affect patients, staff, and the work environment and reduce them by providing contingency plans, policies, strategies, and other risk management tactics.

Pages: 22 to 28

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-511-1

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016

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