Risk Management of Electronic Health Record System in Hospitals
type: CreativeWork
description: This thesis investigates the use of electronic medical record (EMR) systems and risk management in hospitals. It provides a critical analysis of recognized EMR systems and potential failures and discusses six traditional risk management techniques including brain storming, cause, effect analysis, failure mode effective analysis (FMEA), fault tree analysis (FTA), and Binary Decision Diagram (BDD) in addition, to one of the most recent systematic risk management techniques, Systems Theoretic Accident Model Process (STAMP). The traditional techniques are not as well suited to managing risks and preventing failures in modern information systems with complex software that involves human and machine interaction. The thesis introduces the implementation of common traditional risk management technique such as BDD and FTA which is mostly used in nuclear plants, transportation and medical devices backed by a hypothetical example to help and explain the process of the FTA usage. Most traditional techniques rely on a direct cause-and-effect chain and have no clear formal guidance. The systematic technique introduced and used in this study, is known as Systems Theoretic Accident Model Process (STAMP). It is one of the recent systematic techniques developed and used in many sectors including aerospace. This study applied the STAMP technique to the EMR system failure at King Khalid General Hospital (KKGH) in Riyadh. One of the reasons for selecting the STAMP technique is that it is based on system theory and established the risk factors that lead to system failure. It also provides guidance for managing and controlling risk factors. This thesis discusses the implementation of STAMP, supported by examples, to explain how the technique conducted. System failures occur unexpectedly and have the potential to affect health services; they can compromise patient health and sometimes lead to death. The aims of this study are to explore The Kingdom of Saudi Arabia healthcare usage of EMRs …
abstract: This thesis investigates the use of electronic medical record (EMR) systems and risk management in hospitals. It provides a critical analysis of recognized EMR systems and potential failures and discusses six traditional risk management techniques including brain storming, cause, effect analysis, failure mode effective analysis (FMEA), fault tree analysis (FTA), and Binary Decision Diagram (BDD) in addition, to one of the most recent systematic risk management techniques, Systems Theoretic Accident Model Process (STAMP). The traditional techniques are not as well suited to managing risks and preventing failures in modern information systems with complex software that involves human and machine interaction. The thesis introduces the implementation of common traditional risk management technique such as BDD and FTA which is mostly used in nuclear plants, transportation and medical devices backed by a hypothetical example to help and explain the process of the FTA usage. Most traditional techniques rely on a direct cause-and-effect chain and have no clear formal guidance. The systematic technique introduced and used in this study, is known as Systems Theoretic Accident Model Process (STAMP). It is one of the recent systematic techniques developed and used in many sectors including aerospace. This study applied the STAMP technique to the EMR system failure at King Khalid General Hospital (KKGH) in Riyadh. One of the reasons for selecting the STAMP technique is that it is based on system theory and established the risk factors that lead to system failure. It also provides guidance for managing and controlling risk factors. This thesis discusses the implementation of STAMP, supported by examples, to explain how the technique conducted. System failures occur unexpectedly and have the potential to affect health services; they can compromise patient health and sometimes lead to death. The aims of this study are to explore The Kingdom of Saudi Arabia healthcare usage of EMRs …
author: Barnawi, Abdullah
keywords: EMRs, Saudi Arabia, STAMP, Risk management, STAMPC
license: https://dora.dmu.ac.uk/bitstreams/b8a8dc10-0cb9-4e1a-ba37-178bba244ff9/download
date published: 2013-12
date modified: 2026-07-24T06:18:54Z
provider: De Montfort University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: De Montfort University