scholarly journals Determination of Business Intelligence and Analytics-Based Healthcare Facility Management Key Performance Indicators

2022 ◽  
Vol 12 (2) ◽  
pp. 651
Author(s):  
Gökhan Demirdöğen ◽  
Zeynep Işık ◽  
Yusuf Arayici

The use of digital technologies such as Internet of Things (IoT) and smart meters induces a huge data stack in facility management (FM). However, the use of data analysis techniques has remained limited to converting available data into information within activities performed in FM. In this context, business intelligence and analytics (BI&A) techniques can provide a promising opportunity to elaborate facility performance and discover measurable new FM key performance indicators (KPIs) since existing KPIs are too crude to discover actual performance of facilities. Beside this, there is no comprehensive study that covers BI&A activities and their importance level for healthcare FM. Therefore, this study aims to identify healthcare FM KPIs and their importance levels for the Turkish healthcare FM industry with the use of the AHP integrated PROMETHEE method. As a result of the study, ninety-eight healthcare FM KPIs, which are categorized under six categories, were found. The comparison of the findings with the literature review showed that there are some similarities and differences between countries’ FM healthcare ranks. Within this context, differences between countries can be related to the consideration of limited FM KPIs in the existing studies. Therefore, the proposed FM KPIs under this study are very comprehensive and detailed to measure and discover healthcare FM performance. This study can help professionals perform more detailed building performance analyses in FM. Additionally, findings from this study will pave the way for new developments in FM software and effective use of available data to enable lean FM processes in healthcare facilities.

Author(s):  
Elijah Akwarandu Njoku ◽  
Patrick Etim Akpan

Given the effect of locational decisions on access and utilization of healthcare facilities in any society, the current study attempted an evaluation of the locational efficiency of available health facilities in Ikot Ekpene LGA with a view to ascertain the distributional pattern of the health care centers in the study area. It was discovered that health care centers in the area are randomly distributed but moderately concentrated in a few wards leaving more than half the area under-served. Using a WHO population/distance criterion of 1/4km, it is shown that only a small portion of the study area has effective access to healthcare facilities. Potential sites for location of additional health centers were suggested and the capability of Geographical Information System (GIS) in spatial planning and healthcare facility management is demonstrated.


2019 ◽  
Vol 10 (1) ◽  
pp. 135-145 ◽  
Author(s):  
Ernesto Iadanza ◽  
Alessio Luschi

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Ramzi Shawahna

Background. The current study was performed to develop a consensus-based core inventory of key performance indicators (KPIs) to be used in capturing the impact of pharmaceutical care in healthcare facilities that employ integrative medicine paradigm in Palestine. Methods. A panel of healthcare professionals and risk/quality assurance managers was composed employing a judgmental sampling technique. The study tool was a questionnaire. Views and opinions of the panelists on the roles of pharmacists in caring for patients admitted to or visiting healthcare facilities that employ integrative medicine were collected using 11 statements. An initial inventory of activities and services that potentially can be used as KPIs was compiled from the literature and interviews with key contact experts in the domain. Three iterative Delphi rounds were conducted among the panelists (n = 50) to achieve formal consensus on the KPIs that should be used. The consensus-based KPIs were ordered by the scores of the panelists. Results. A total of 8 consensus-based KPIs were developed. The KPIs related to the number of problems related to medications and complementary and alternative medicine (CAM) that were resolved by pharmacists and CAM practitioners (p < 0.0001), number of patients for whom reconciliations were documented (p < 0.0001), number of patients receiving direct, comprehensive, and/or collaborative care (p < 0.0001), and number of patients for whom pharmacists and CAM practitioners were involved in implementing a therapeutic plan (p < 0.05) were rated significantly higher than the KPI (#8) related to the participation in multi-healthcare provider discussions/deliberations. Conclusions. Consensus-based KPIs that can be used in capturing the impact of evidence-based CAM and pharmaceutical care of patients in healthcare facilities that employ integrative medicine paradigm were developed. Future studies are still needed to investigate if implementing these KPIs might promote evidence-based CAM and pharmaceutical care in healthcare facilities that employ the integrative medicine paradigm.


Author(s):  
Mark Xu ◽  
G. Roland Kaye

This paper defines strategic intelligence as a distinct organisational resource that differs from competitive intelligence (CI) and business intelligence (BI). A literature review unfolds a number of deficiencies in intelligence practice and systems. The findings, based on a case study, suggest that there is a lack of systematic scanning, analysing and support for strategic intelligence. An integrative framework is proposed to guide and improve strategic intelligence activity, which comprises of Key External Intelligence (KEI) and internal Key Performance Indicators (KPI). Implementation issues are discussed. The paper develops novel insight into strategic intelligence, and the proposed solution has implications on enhancing managers’ and an organisations’ sensibility and capability by detecting and responding to emerging strategic signals.


Author(s):  
Indira Lanza Cruz ◽  
María José Aramburu Cabo ◽  
Rafael Berlanga Llavori

Presenta una nueva metodología basada en infraestructuras de datos abiertos vinculados (Linked Open Data LOD) al realizar tareas de análisis en redes sociales. Esta metodología sigue las típicas fases de un proyecto de inteligencia de negocios (Business Intelligence BI), en el que a partir de un conjunto de fuentes de datos se obtienen métricas e indicadores relevantes para los objetivos estratégicos de la organización (Key Performance Indicators KPI). En el nuevo escenario, las fuentes de datos son redes sociales, y los objetivos estratégicos están relacionados con el desempeño de las organizaciones en esas redes sociales. El artículo demuestra los beneficios de representar toda la información relevante para el análisis bajo una misma infraestructura de datos abiertos vinculados, y como métricas e indicadores pueden ser obtenidos y publicados en la misma infraestructura. Estos beneficios destacan la capacidad de compartir entre los miembros de una comunidad todos los elementos relevantes en un análisis social a partir de los datos de origen para los indicadores sociales.Palabras clave: Datos abiertos vinculados. Análisis de redes sociales. Indicadores sociales.Link: http://revista.ibict.br/ciinf/article/view/4058/3581


Ciencia Unemi ◽  
2017 ◽  
Vol 10 (23) ◽  
pp. 40
Author(s):  
Diego Marcelo Cordero Guzman ◽  
Guillermo Rodríguez López

El trabajo propone determinar un conjunto de indicadores acerca del desempeño de las empresas productivas del Cantón La Troncal, provincia del Cañar, Ecuador, para usar la “Inteligencia de Negocios” (Business Intelligence BI) como una mejor práctica que apoye la gestión organizacional y la consecución de los objetivos estratégicos. Para ello primero se levantó información en empresas locales, en base a una muestra específica, con instrumentos del tipo cuestionario y entrevista. Luego, a partir de la información obtenida se diseñó un cuadro de mando integral (Balanced Scorecard) con los indicadores claves de desempeño más significativos para las empresas de la muestra, de modo que se puedan implementar con los servicios multidimensionales que ofrecen las herramientas de Inteligencia de Negocios. Finalmente, los informes se representaron en tableros de control, con un rango de granularidad fino, que permitan a los directivos tomar decisiones claras, reduciendo el grado de incertidumbre. ABSTRACTThe paper aims to determine a set of indicators about the performance of productive enterprises in Canton La Troncal, province of Cañar, Ecuador, to use “Business Intelligence” (Business Intelligence BI) as the best practice that supports organizational management and achievement of the strategic objectives. For this purpose, information was first collected through a survey that was carried out in local companies, based on a specific sample, with questionnaires and interviews. Then, based on the information obtained, a Balanced Scorecard was designed with the most significant key performance indicators for the companies in the sample, so that they can be implemented with the multidimensional services offered by business intelligence tools. Finally, the reports were presented in control panels, with a fine granularity range, which allow managers to make clear decisions, reducing the degree of uncertainty.


2019 ◽  
Vol 3 (1) ◽  
pp. 8-17 ◽  
Author(s):  
Steven Call ◽  
Kenneth Sullivan

ABSTRACT Purpose— The purpose of this research is to better understand learning outcomes essential for college students to be effective entry-level healthcare facility managers, establishing a healthcare FM education framework to further open FM academic programs as a sustainable source of new talent for the healthcare FM industry. Design/methodology/approach— A Delphi method was used for this research to draw upon the collective knowledge and experience of 13 experts over three iterative rounds of input. Phone interviews were also employed. Findings— This study shows that gaps exist in student learning outcomes for a comprehensive healthcare FM education; key technical topics specific to the healthcare industry are not being addressed by organizations accrediting construction and facility management academic programs. Many of these student learning outcomes could be readily combined into existing learning outcomes or used to develop a comprehensive healthcare FM education covering accreditation, regulatory and code compliance, infection control, systems in healthcare facilities, healthcare construction project management and methods, and clinical operations and medical equipment. Interestingly, academics in the field of FM generally disagree with industry professionals that these technical topics are important student learning outcomes. Consequently, FM academics prefer to teach students general FM principles with the expectation that specific technical knowledge will be gained in the workplace after graduation from college. Nevertheless, candidates attempting to enter healthcare FM without industry specific knowledge are disadvantaged due to industry perceptions and expectations. University-industry linkage must be improved to successfully attract students into the field of healthcare FM and open colleges and universities as a sustainable recruitment source in helping address FM attrition. Originality/value— This paper is valuable in establishing a healthcare FM education framework to elucidate college student learning outcomes upon graduation for successful employment as an entry-level healthcare facility manager. These student learning outcomes provide a framework for healthcare FM education to be used by industry and academia in preparing future professionals.


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