An integrated custom decision-support computer aided facility management informative system for healthcare facilities and analysis

Abstract This article presents a Computer Aided Facility Management informative system which can output Key Performance Indicators and quantitative parameters about the analysed healthcare facility. The designed system is a self-sufficient application able to manage and analyse digital plans of hospital buildings with no need of third-party plugins or licenses. The system maps hospital’s inner organisation, destinations of use and environmental comforts giving quantitative, qualitative and graphical reports. The core database is linked to other existing hospital databases, so that the system can act as a central control cockpit. Outputs can be used by top-management and decisional staff as a decision-support tool in order to improve hospital’s structure and organisation and to reduce the major workflow risks. Furthermore, many plug-ins and modules have been developed through the years which can be easily linked to the main application thanks to its REST architecture, and which contribute to a complete analysis and management of the healthcare facilities.

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Computer Aided Facility Management (CAFM) as a New Branch of Decision Making Support Technologies in the Field of Facility Management

Encyclopedia of Decision Making and Decision Support Technologies ◽

10.4018/978-1-59904-843-7.ch010 ◽

2011 ◽

pp. 84-92 ◽

Cited By ~ 1

Author(s):

Thomas Madritsch ◽

Michael May ◽

Herwig Ostermann ◽

Roland Staudinger

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support Tool ◽

Facility Management ◽

Point Of View ◽

Information And Communications Technology ◽

Industrialized Countries ◽

Support Tool ◽

Computer Aided ◽

Recent Developments

Nowadays facility management (FM) and real estate activities contribute to about 5-10% of the gross domestic product (GDP) of advanced industrialized countries. For example the total value of FM activity including support services is about 8.2% UK GDP (Harris, 2002). Computer aided facility management (CAFM) software is a new class of information and communications technology (ICT) tools to support management in the preparation of relevant data in the decision making process especially in the area of illustration, evaluation, and control of relevant FM structures and processes. Recently, CAFM tools are developing from simple information systems to multifunctional decision support systems (DSSs) for private as well as public organizations. Until now however, little attention has been given to this relevant change in business and academic communities. At the same time numerous software systems with various systematic approaches, functions, and varying success have been established on the market. Despite the multitude of suppliers and users in the different branches uncertainty concerning the procedures and achievable effects still prevails. This is closely related to the lack of well-documented, transparent, and successful case studies. In addition, little is known about how CAFM can be implemented successfully and the factors leading to its sustainable success. From an economic point of view it is very important to support this process in order to avoid wrong decisions and unnecessary investment. In particular, implementation strategies and formulae for success are of great interest (May, 2002). The purpose of this chapter is to describe the relevance of CAFM as a decision support tool in the field of FM. The authors will illustrate the recent developments and market demands of FM and CAFM. The main part will provide an overview on the basic concept as well as building management, for example, CAFM and give detailed insight into the topic and how CAFM may serve as a DSS from an organizational perspective. The next part will introduce some examples of good practices. The chapter closes with an overview of future developments, trends, and research opportunities of CAFM as a decision support tool.

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Decision Support Tool for Selecting Supplemental Energy Technologies for Healthcare Facilities in a Developing Country

2019 Systems and Information Engineering Design Symposium (SIEDS) ◽

10.1109/sieds.2019.8735649 ◽

2019 ◽

Author(s):

Jordan Askey ◽

Jaclyn Bellefeuille ◽

Sydney Eskin ◽

Anya Welch

Keyword(s):

Decision Support ◽

Developing Country ◽

Decision Support Tool ◽

Support Tool ◽

Healthcare Facilities ◽

Energy Technologies

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Computer Aided Decision Support Tool for Rectal Cancer TNM Staging Using MRI

IFMBE Proceedings - XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 ◽

10.1007/978-3-319-00846-2_44 ◽

2014 ◽

pp. 178-181

Author(s):

A. Torrado-Carvajal ◽

T. Martin Fernandez-Gallardo ◽

N. Malpica

Keyword(s):

Rectal Cancer ◽

Decision Support ◽

Decision Support Tool ◽

Tnm Staging ◽

Support Tool ◽

Computer Aided ◽

Computer Aided Decision

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Leveraging previously reported research to create a decision support tool for institutional facility maintenance

Journal of Facilities Management ◽

10.1108/jfm-08-2018-0051 ◽

2019 ◽

Vol 17 (3) ◽

pp. 249-266

Author(s):

Michael A. Beauregard ◽

Steven K. Ayer

Keyword(s):

Decision Support ◽

Literature Review ◽

Decision Support Tool ◽

Facility Management ◽

Decision Makers ◽

Content Type ◽

Support Tool ◽

Facility Maintenance ◽

K 12 ◽

Work Orders

Purpose The discretionary expense budget required to maintain public infrastructure has declined in recent years, even as public expectations and accountability for performance have increased. The purpose of this paper is to leverage previously reported research to create a decision support tool (DST) for prioritizing institutional facility maintenance. Design/methodology/approach A structured literature review was developed to identify critical aspects of facility maintenance shown to have a positive relationship with academic performance in K-12 schools within the USA. Analytical hierarchy process (AHP) serves as a framework for a multi-criteria DST based on the findings of the literature review. Finally, a targeted focus group of industry professionals was used to validate the usability of the resulting DST. Findings The framework for the DST developed for this study effectively represents the scale and scope of an institutional facility. Results of the study suggest that when evaluating multi-criteria work orders, the proposed visual AHP methodology can be used to generate usable DSTs to assist with the prioritization of work. Practical implications This study provides a methodology for building a multi-criterion DST leveraging precedent research, using a visual AHP to assist facility management (FM) decision-makers in the prioritization of routine work orders. Originality/value The developed process indicates a practical approach to incorporating disparate research findings into a concise and useable manner to guide FM decision-makers, who have traditionally not been able to explicitly leverage this information to make evidence-based spending decisions.

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