A Custom Decision-Support Information System for Structural and Technological Analysis in Healthcare

Luschi, Alessio; Marzi, Luca; Miniati, Roberto; Iadanza, Ernesto

doi:10.1007/978-3-319-00846-2_334

Cited by 19 publications

(14 citation statements)

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“…A thorough review of the literature led to the selection of the three groups below to match the CE department’s data and requirements. These KPIs are as follows:Financial, with the assessment of the cost-effectiveness of the performance being the primary objective [1, 3, 6, 19]Technological, with the assessment of the operational performance of the equipment in terms of its reliability and availability (related to customer satisfaction) as its aim [1, 13, 16, 17, 19, 25, 27]Organizational, which is related to internal processes and staff productivity [1, 5, 10, 13, 14, 16, 17, 25, 27]…”

Section: Methodsmentioning

confidence: 99%

“…Technological, with the assessment of the operational performance of the equipment in terms of its reliability and availability (related to customer satisfaction) as its aim [1, 13, 16, 17, 19, 25, 27]…”

Section: Methodsmentioning

confidence: 99%

“…Organizational, which is related to internal processes and staff productivity [1, 5, 10, 13, 14, 16, 17, 25, 27]…”

Section: Methodsmentioning

confidence: 99%

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Evidence-based medical equipment management: a convenient implementation

Iadanza

Gonnelli

Satta³

2019

Med Biol Eng Comput

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Maintenance is a crucial subject in medical equipment life cycle management. Evidence-based maintenance consists of the continuous performance monitoring of equipment, starting from the evidence—the current state in terms of failure history—and improvement of its effectiveness by making the required changes. This process is very important for optimizing the use and allocation of the available resources by clinical engineering departments. Medical equipment maintenance is composed of two basic activities: scheduled maintenance and corrective maintenance. Both are needed for the management of the entire set of medical equipment in a hospital. Because the classification of maintenance service work orders reveals specific issues related to frequent problems and failures, specific codes have been applied to classify the corrective and scheduled maintenance work orders at Careggi University Hospital (Florence, Italy). In this study, a novel set of key performance indicators is also proposed for evaluating medical equipment maintenance performance. The purpose of this research is to combine these two evidence-based methods to assess every aspect of the maintenance process and provide an objective and standardized approach that will support and enhance clinical engineering activities. Starting from the evidence (i.e. failures), the results show that the combination of these two methods can provide a periodical cross-analysis of maintenance performance that indicates the most appropriate procedures. Graphical abstractThe left side shows a block diagram of the process needed to calculate the proposed set of KPIs, starting from technological, organizational and financial data. On the upper right it is shown an example of scheduled maintenance analysis for a specific class of equipment (legend in the article body). The bottom right part shows how the KPIs can be implemented in a business intelligence dashboard.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Evidence-based medical equipment management: a convenient implementation

Iadanza

Gonnelli

Satta³

2019

Med Biol Eng Comput

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“…It maps Departments, Operative Units, Destinations of Use, healthcare technologies and environmental comforts, grouping the information by single room and homogeneous area. System outputs can be used by top-management as a decision-support aid to assess parameters to improve the hospital structure and organization [1,2].…”

Section: Methodsmentioning

confidence: 99%

Careggi Smart hospital: A mobile app for patients, citizens and healthcare staff

Luschi

Belardinelli

Marzi

et al. 2014

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

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Abstract-This paper presents a mobile app called "Careggi Smart Hospital" which has been developed for the Careggi Polyclinic in Florence. The application is designed for Android smartphones and tablets and it is freely downloadable from the Google Play Store. It provides various useful tools to the hospital's users such as personnel and structures finding, wayfinding and the possibility to access personal medical records collected on regional electronic health record.

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“…With that been said, the architecture of the presented system relies on importing plain 2D maps, one for each floor and pavilion, like a typical CAFM system. This is because of the intention to offer a central management cockpit which deals not only with structural and constructional data, but also with technologies, assets and medical equipment [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

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

Iadanza

Luschi

2019

Health Technol.

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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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A Custom Decision-Support Information System for Structural and Technological Analysis in Healthcare

Cited by 19 publications

References 0 publications

Evidence-based medical equipment management: a convenient implementation

Evidence-based medical equipment management: a convenient implementation

Careggi Smart hospital: A mobile app for patients, citizens and healthcare staff

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

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