Decision Support Systems in Health Care

Abstract:ARCHIMED is a Network of Integrated Information Systems (NIIS). This novel concept of hospital information system has a major advantage over the currently used distributed systems. The normalized representation structure of its databases enable its Navigators to reach simultaneously not only the data coming from different hospital departments, laboratories, and other hospital facilities, but also the data from different hospitals associated in the network.

show abstract

“…The ARCHIMED Navigators are designed to operate as multilevel decision support systems, using multicriteria [12][13][14].…”

Section: Navigators Of Archimedmentioning

confidence: 99%

ARCHIMED: A Network of Integrated Information Systems

Thurler

Borst²,

Breant³

et al. 2000

Methods Inf Med

View full text Add to dashboard Cite

show abstract

Layout Planning Problems in Health Care

Arnolds

Nickel

2015

International Series in Operations Research &Amp; Management Science

View full text Add to dashboard Cite

In general, layout planning problems can be classified as in-house location problems where the aim is to minimize traveling or material handling costs based on distances by deciding on the relative positions of any kind of organizational units inside a building. This class of operations research problems originates from industrial applications, for example, planning the location of different machines of an assembly line needed to manufacture a product or the arrangement of racks and shelves within a warehouse.The special case of layout planning problems in health care has been first introduced by Elshafei in 1977(Elshafei 1977. He modeled a hospital layout problem as a quadratic assignment problem (QAP) and developed heuristics to solve it. In the framework for hospital planning and control the hospital layout planning problem is classified as a resource capacity planning problem on a strategic level . Although it is a long-term decision, the spatial organization within hospitals also directly influences the quality and efficiency of health care and secondary services of the daily routine (Choudhary et al. 2010; Hignett and Lu 2010) as well as patient satisfaction (Chaudhury et al. 2005). In practice, hospital buildings are commonly planned by architects based on experience, design aspects and legal regulations. Instead of that, it is important to develop and follow a holistic approach in order to combine the architectural and legal aspects with logistics, i.e., patient, personnel and material flows inside the future hospital building. In this context, the established operations research methodologies, especially optimization and simulation techniques, can be applied in order to support finding an optimal or robust hospital layout. On the one hand, optimal can mean to minimize traveling costs for I. Arnolds ( ) · S. Nickel Discrete Optimization and Logistics at the IOR,

show abstract