Automated Risk Control in Medical Imaging Equipment Management Using Cloud Application.

Sally M Ghanem,Neven Saleh,Manal Abdel Wahed

doi:10.1155/2018/7125258

Sally M Ghanem, Neven Saleh + Show 1 more

Open Access

https://doi.org/10.1155/2018/7125258

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Abstract

Medical imaging equipment (MIE) is the baseline of providing patient diagnosis in healthcare facilities. However, that type of equipment poses high risk for patients, operators, and environment in terms of technology and application. Considering risk management in MIE management is rarely covered in literature. The study proposes a methodology that controls risks associated with MIE management. The methodology is based on proposing a set of key performance indicators (KPIs) that lead to identify a set of undesired events (UDEs), and through a risk matrix, a risk level is evaluated. By using cloud computing software, risks could be controlled to be manageable. The methodology was verified by using a data set of 204 pieces of MIE along 104 hospitals, which belong to Egyptian Ministry of Health. Results point to appropriateness of proposed KPIs and UDEs in risk evaluation and control. Thus, the study reveals that optimizing risks taking into account the costs has an impact on risk control of MIE management.

Highlights

Risk management becomes an essential concept to ensure safety, reliability, competence, and compliance with standards in healthcare facilities
Due to no specific key performance indicators (KPIs) for medical equipment management, the challenge of this study is to suggest a set of KPIs and undesired events (UDEs) for risks associated with Medical imaging equipment (MIE) management
The authors decided to take the approach of expert’s opinions as well as utilizing the guidelines and the standards of medical equipment maintenance to conclude these KPIs. Such standards are related to International Organization for Standardization (ISO), Food and Drug Administration (FDA), World Health Organization (WHO), and TJC

Summary

Introduction

Risk management becomes an essential concept to ensure safety, reliability, competence, and compliance with standards in healthcare facilities. To recognize a hazard or an undesired event (UDE), a set of key performance indicators (KPIs) should be identified to monitor and measure associated risks for any process [5, 6]. In this context, several researches have been conducted to study risk management for medical equipment. Dumbrique discussed risk management in medical equipment manufacturing process [7] Another aspect was presented in [3], concerning risk management in software industry.

Materials and Methods

K–90 K O 900–90 K Y 90–9 K G

Conflicts of Interest