A Medical Device Complexity Model

Abstract

Complexity ranking can be used as a measure of the degree of difficulty in understanding, operating, and managing systems. Categorization of systems according to their level of complexity provides guidance for system management, optimization, and cost reduction. With the fundamental role of clinical engineers in medical equipment selection, equipment performance programs, education programs, and risk analysis, development of a medical device complexity model provides a useful tool for managing medical technology.

Continuous quality improvement project to reduce the downtime of medical linear accelerators: A case study at Zhejiang Cancer Hospital

“…We also established a quality index evaluation system for equipment downtime events, utilising the QCC. This system included nine quality control indicators and a weighted formula [ [26] , [27] , [28] , [29] , [30] ]. The quality control indicators included the following: 1) downtime, 2) spare parts cost, 3) failure recurrence, 4) operational errors, 5) uncontrollable factors, 6) weight allocation, 7) event frequency, 8) event risk weight, and 9) MTTR/MTBF ratio.…”

A Modern Approach for Maintenance Prioritization of Medical Equipment

“…Their type and number vary from system to system, but the algorithm for applying the monitoring and diagnostic procedure is similar. The collection of these parameters, together with the application of the traditional technologies of predictive maintenance, will provide all the necessary data for the analysis of the state and the performances of the system [12].…”

A Hybrid Decision-Making Model for Maintenance Prioritization in Health Care Systems

“…Wang and rice (2003) discussed a simplified gradient risk sampling plan that includes traditionally excluded equipment. Youssef and Hyman (2009) suggested a classification model based on devices technical complexity and use complexity ranking. Taghipour et al (2011) debated that although the risk is an important criterion, other factors should be taken into accounts such as utilization rate and mission criticality.…”