Home // International Journal On Advances in Life Sciences, volume 10, numbers 1 and 2, 2018 // View article

A Holistic Approach for Forecasting Medical Equipment Risks Using Monte Carlo Simulation

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

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

Abstract:
As any technology, medical equipment provide benefits to patients, but they also present significant risks that can affect and threaten patient safety. In healthcare organizations, clinical engineering departments play a big role in maintaining the safety and reliability of medical equipment. In order to mitigate failures of such equipment 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 enable us to identify medical equipment risks that affect patients, staff, and the work environment and reduce them by providing contingency plans, policies, strategies, and other tactics [1].

Pages: 1 to 10

Copyright: Copyright (c) to authors, 2018. Used with permission.

Publication date: June 30, 2018

Published in: journal

ISSN: 1942-2660