A DECISION SUPPORT FRAMEWORK FOR HCAI RISK ASSESSMENT AND DESIGN BRIEFING OF HEALTHCARE FACILITIES

Healthcare facilities are complex and technologically driven built environments therefore controlling healthcare associated infections (HCAI) is a major challenge not only for the UK’s NHS services but also for designers and architects. The problem is the very large number of issues that have to be considered and the difficulty of specifying best practice therefore designing the right facility as many of the values are subjective. Quality Function Deployment (QFD) enables the prioritisation of objectives, an understanding of the links between choices and the potential conflicts between them. HCAI-QFD tool has been developed exploiting the features of QFD, but tailored to the needs of the HCAI control practices. By using a preselected knowledge base of issues and technologies that can be used to provide solutions, a decision framework has been developed to enable the user to access, at any point in the process, additional information from linked knowledge sources and the WWW so enabling them to be informed of the issues. The result is that the user can explore each area in depth. When a decision has been made the user can record the details, which are captured in the tool database that is then used to enhance the final report and so produce a full specification of HCAI control issues and requirements. This can be used for HCAI risk assessment and design briefing of healthcare facilities.

[1]  Gwo-Jen Hwang,et al.  A Delphi-based approach to developing expert systems with the cooperation of multiple experts , 2007, Expert Systems with Applications.

[2]  Chimay J. Anumba,et al.  Establishing and processing client requirements—a key aspect of concurrent engineering in construction , 2000 .

[3]  Qian Shi,et al.  A Fuzzy-QFD Approach to the Assessment of Green Construction Alternatives Based on Value Engineering , 2009, 2009 International Conference on Management and Service Science.

[4]  Filippo Emanuele Ciarapica,et al.  A FUZZY-QFD APPROACH TO SUPPLIER SELECTION , 2006 .

[5]  Paul Kauffmann,et al.  Integration of Kano's Model Into QFD for Multiple Product Design , 2007, IEEE Transactions on Engineering Management.

[6]  Weisheng Lu,et al.  Rethinking project management and exploring virtual design and construction as a potential solution , 2009 .

[7]  Seyedeh Azra Mirkazemi,et al.  AN EFFICIENT APPROACH FOR CONSTRUCTING PERFORMANCE APPRAISAL INDICATORS , 2010 .

[8]  HwangGwo-Jen,et al.  A Delphi-based approach to developing expert systems with the cooperation of multiple experts , 2008 .

[9]  Y. Chen,et al.  A methodology of determining aggregated importance of engineering characteristics in QFD , 2007, Comput. Ind. Eng..

[10]  Eleonora Bottani,et al.  A FUZZY QFD APPROACH TO ACHIEVE AGILITY , 2009 .

[11]  E. J. Coles,et al.  Planning and Monitoring Design Work , 2000 .

[12]  Serge Guillas,et al.  The important role of sink location in handwashing compliance and microbial sink contamination. , 2014, American journal of infection control.

[13]  Jonas Schreiber.  Managing The Brief For Better Design , 2016 .

[14]  Elaine Aspinwall,et al.  Quality function deployment in construction , 2007 .

[15]  Andrew Sai On Ko,et al.  Building balanced scorecard with SWOT analysis, and implementing “Sun Tzu’s The Art of Business Management Strategies” on QFD methodology , 2000 .

[16]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[17]  Chris I. Goodier,et al.  The futures of construction: a critical review of construction future studies , 2007 .

[18]  Chi-Kuang Chen,et al.  Developing a revised QFD technique to meet the needs of multiple-customer groups: a case of public policy analysis , 2012 .

[19]  C. Gray,et al.  Decision Support Tools for Performance Based Building , 2004 .

[20]  Tomohiko Sakao,et al.  A QFD-centred design methodology for environmentally conscious product design , 2007 .

[21]  Suzanne D. Pawlowski,et al.  The Delphi method as a research tool: an example, design considerations and applications , 2004, Inf. Manag..

[22]  Ioannis E. Tsolas,et al.  Sustainable construction and drivers of change in Greece: a Delphi study , 2006 .

[23]  Chimay J. Anumba,et al.  ClientPro: a prototype software for client requirements processing in construction , 2001 .

[24]  Eric W.T. Ngai,et al.  A fuzzy QFD program modelling approach using the method of imprecision , 2008 .

[25]  Peter Barrett,et al.  Better Construction Briefing , 1999 .

[26]  C. Gray,et al.  Developments of QFD to support decision making during the briefing process , 2006 .

[27]  Gary E Pivo,et al.  Responsible property investment criteria developed using the Delphi Method , 2008 .

[28]  Liang-Hsuan Chen,et al.  An evaluation approach to engineering design in QFD processes using fuzzy goal programming models , 2006, Eur. J. Oper. Res..

[29]  Janne Porkka,et al.  Conclusions and Recommendations on Decision Support Tools for Performance Based Building , 2005 .