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Modelling the Management of Medical Equipment in Healthcare Dermot Hale, Enda F. Fallon Centre for Occupational Health & Safety Engineering and Ergonomics, College of Engineering and Informatics, National University of Ireland Galway, Ireland d.hale2@nuigalway.ie & enda.fallon@nuigalway.ie Abstract This paper introduces a systematic approach to the management of medical equipment in healthcare. Specifically, the paper demonstrates how modelling this management system creates a solid foundation for the development of an effective management standard. 1. Introduction In healthcare, effectively maintained medical equipment is an important asset central to patient care. Hospitals hold a vast array of medical equipment ranging from small inexpensive items such as infusion pumps, to complex items such as linear accelerators which have a high purchasing cost and involve substantial on-going costs. The Health Service Executive provides a high level framework, for managing medical equipment in Irish hospitals [1]. This framework, however, gives direction on a macro level only. For example, the document states that ‘all medical devices are properly maintained and repaired’, it does not however expand on this requirement. This leaves the implementation of procedures at a micro level unregulated. In such an environment best practice may not be followed, potentially leading to inefficient practices in terms of equipment utilisation, usability, servicing and performance. These inefficiencies add extra cost to the HSE and ultimately can adversely affect patient safety. 2. Methods In order to develop a comprehensive and effective system for managing medical equipment it is necessary to understand, at a micro level, the typical lifecycle of medical equipment. Modelling the medical equipment lifecycle clearly presents the sequence of activities to be considered. In creating this model best practice procedures in other safety critical industries, i.e. aviation, nuclear, medical device manufacturing and the military, were benchmarked. The model also considers guidance given by relevant international standards, such as IEC 61508, ISO 60601 and ISO 14971. 73 3. Results Planning Procurement Commissioniong Performance Measurement Maintenance Decommissioning Environment Quality Assurance Patient Safety Risk Management Lean Six Sigma Principles Figure 1. The Management of Medical Equipment in Healthcare Model As is shown in Figure 1, the phases of the medical equipment lifecycle were found to be the following: Planning, Procurement, Commissioning, Performance Measurement, Maintenance and Decommissioning. The model developed shows that Risk Management, Patient Safety, Quality Assurance and Environmental aspects are the key considerations underpinning the lifecycle. The model also shows that Lean Sigma, as a best practice business management strategy, underpins all activities, ensuring that all practices add value to the management system. 4. Conclusion Understanding and accurately representing the medical equipment management model creates a foundation from which a systematic and effective management standard can be developed, utilising the ethos and toolkit of Lean Six Sigma. 5. References [1] Health Service Executive, Medical Devices/Equipment Management Policy (Incorporating the Medical Devices Management Standard, Office of Quality and Risk, Dublin, 2010.
Customer Focused Innovation in the Irish MedTech Biopharma Sector Fidelma Dunne O’Higgins, Kathryn Cormican College of Engineering and Informatics NUI Galway m.dunneohiggins1@nuigalway.ie Abstract Customer focused innovation (CFI) describes the direct engagement of enterprises with their customer/end users, to satisfy unmet customer needs through the design and development of new products. However, published research in the area of CFI is mostly prescriptive and fails to provide enterprises with a best practice model or tool kit. This research addresses that gap by conducting an empirical study of CFI use and contribution to new product development (NPD) in the Irish MedTech BioPharma sector to generate a best practice model from the collected data. The study is timely and contributes to research in the area of both CFI and NPD. 1. Introduction In this research new product innovation and in particular customer focused innovation (CFI) is under investigation, where enterprises engage directly with the customer/end user, capturing their requirements and building on their expertise in the design and development of new products. Therefore, CFI is also a driver of innovation as new products are developed to satisfy those requirements and unmet needs [1, 2]. Many enterprises have already recognised the potential that exists within their customer/end user base and are taking measures to capture this potential [3, 4]. Focusing on the Irish MedTech BioPharma sector the study identifies enterprises engaged in CFI, the contribution CFI makes to NPD and the systems currently employed. In the process this research addresses the following questions: Is CFI currently used in the innovation of new products in the Irish MedTech BioPharma sector? Which firms use CFI and how is it implemented? What are the systems and interfaces required to support CFI and its related knowledge transfer in the modern firm? 2. Aim of the Research The main aim of this research is to generate a best practice model for the successful employment of CFI in the Irish MedTech BioPharma sector. Empirical studies identify the enterprises successfully engaging with customers to this end, together with the systems, processes and supports necessary for the successful employment of CFI at enterprise level. 74 3. Methods The research begins by synthesising the literature relating to CFI and new product development. Empirical field work, including survey, question led interviews and case studies identify enterprises within the Irish Medtech BioPharma sector who are currently involved in new product development through CFI. In depth interviews with educational institutions, government bodies and other stakeholders, add to the data collected and lay the foundations for generating a CFI best practice model. The study builds on previous research in other sectors and considers cross sector application of the model generated. 4. Outcomes By conducting this research the author raises awareness and generates debate regarding the employment of CFI as a means of increasing new product development in the Irish MedTech BioPharma context. The initial identification of firms engaged in NPD through CFI provides valuable data for future research. Finally, the research findings and CFI model generated provide enterprises with a vehicle to drive innovation by responding to the expressed needs of their customer/end user through the development of new products. 5. References [1] Drucker, P., Innovation and Entrepreneurship. 2007: Butterworth-Heinmann. [2]Cooper, R.G. and S.J. Edgett, Maxmising Productivity in Product Innovation. Research Technology Management, 2008. 51(2): p. 47-58. [3] Birkinshaw, J., Terjesen, S., The Customer-focused Multinational: Revisiting the Stopford and Wells Model in an Era of Global Customers, in The Future of the Multinational Company, J.G. Birkinshaw, S. Markides, C. Stopford, J. Yip, G., Editor. 2010, Wiley: London. [4] Desouza, K.C., et al., Customer Driven Innovation. Research Technology Management, 2008. 51(3): p. 35- 44.
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NUI Galway - UL Alliance First Annu
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FULL TABLE OF CONTENTS 1 GAMES, VIS
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4 MECHANICAL AND BIOMEDICAL ENGINEE
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5.21 Detecting Topics and Events in
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8.7 Modelling Extreme Flood Events
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GAMES, VISUALISATION & EDUCATION 1.
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Generation and Analysis of Graph St
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Evolution and Analysis of Strategie
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Abstract The delivery of multimedia
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Applications of Reinforcement Learn
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Assessing the effects of interactiv
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Real-time depth map generation usin
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An analysis of the capability of pr
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Building Information Modelling duri
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Dwelling Energy Measurement Procedu
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Numerical Modelling of Tidal Turbin
Page 34 and 35: Energy Storage using Microencapsula
Page 36 and 37: Data Centre Energy Efficiency Mark
Page 38 and 39: An embodied energy and carbon asses
Page 40 and 41: SmartOp - Smart Buildings Operation
Page 42 and 43: Ocean Wave Energy Exploitation in D
Page 44 and 45: Future Smart Grid Synchronization C
Page 46 and 47: Web-Based Building Energy Usage Vis
Page 48 and 49: Image Recognition and Classificatio
Page 50 and 51: Android Based Multi-Feature Elderly
Page 52 and 53: Determining Subjects’ Activities
Page 54 and 55: New Analysis Techniques for ICU Dat
Page 56 and 57: National E-Prescribing Systems in I
Page 58 and 59: Using Mashups to Satisfy Personalis
Page 60 and 61: 3D Computational Modeling of Blood
Page 62 and 63: Experimental and Computational Inve
Page 64 and 65: Experimental Analysis of the Therma
Page 66 and 67: Simulating Actin Cytoskeleton Remod
Page 68 and 69: Computational Analysis of Transcath
Page 70 and 71: An In vitro Shear Stress System for
Page 72 and 73: Development of a Micropipette Aspir
Page 74 and 75: A Computational Test-Bed to Examine
Page 76 and 77: Computational Modeling of Ceramic-b
Page 78 and 79: Multi-Scale Computational Modelling
Page 80 and 81: Development of a mixed-mode cohesiv
Page 82 and 83: Active Computational Modelling of C
Page 86 and 87: SOCIAL MEDIA, SEARCH & RECOMMENDATI
Page 88 and 89: Improving Twitter Search by Removin
Page 90 and 91: Abstract The goal of this research
Page 92 and 93: Generalized Blockmodeling Samantha
Page 94 and 95: Life-Cycles and Mutual Effects of S
Page 96 and 97: dcat: Searching Public Sector Infor
Page 98 and 99: The Effect of User Features on Chur
Page 100 and 101: User Similarity and Interaction in
Page 102 and 103: Improving Categorisation in Social
Page 104 and 105: Natural Language Queries on Enterpr
Page 106 and 107: Studying Forum Dynamics from a User
Page 108 and 109: Provenance in the Web of Data: a bu
Page 110 and 111: Towards Social Descriptions of Serv
Page 112 and 113: ENVIRONMENTAL ENGINEERING 6.1 Asses
Page 114 and 115: Novel Agri-engineering solutions fo
Page 116 and 117: Evaluation of amendments to control
Page 118 and 119: Determination of optimal applicatio
Page 120 and 121: Treatment of Piggery Wastewaters us
Page 122 and 123: NEXT GENERATION INTERNET 7.1 Extens
Page 124 and 125: Enabling Federation of Government M
Page 126 and 127: Curated Entities for Enterprise Uma
Page 128 and 129: Mobile Web + Social Web + Semantic
Page 130 and 131: Engaging Citizens in the Policy-Mak
Page 132 and 133: Preference-based Discovery of Dynam
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RDF On the Go: An RDF Storage and Q
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Policy Modeling meets Linked Open D
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A Contextualized Perspective for Li
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Improving discovery in Life Science
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The Semantic Public Service Portal
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Personalized Content Delivery on Mo
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A Framework to Describe Localisatio
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The influence of secondary settleme
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Analysis of Shear Transfer in Void-
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Cost-Effective Sustainable Construc
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Modelling Extreme Flood Events due
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Axial Load Capacity of a Driven Cas
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Chemical amendment of dairy cattle
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Seismic Design of Concentrically Br
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MODELLING, ALGORITHMS & CONTROL 9.1
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Eigen-based Approach for Leverage P
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Evolutionary Modelling of Industria
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Abstract: Graphical Semantic Wiki f
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Low Coverage Genome Assembly Using
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Evolving a Robust Open-Ended Langua
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Context Stamp - A Topic-based Conte
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DSP-Based Control of Multi-Rail DC-
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Topographical Cues - Controlling Ce
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Creep Relaxation and Crack Growth P
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Finite Element Modelling of Failure
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Influence of Fluorine and Nitrogen
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Phase Decompositions of Bioceramic
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High Resolution Microscopical Analy
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An Experimental and Numerical Analy
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Thermomechanical characterisation o
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A multiaxial damage mechanics metho
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The effect of citrate ester plastic
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