Verwandte Artikel zu Healthcare Service Management: A Data-Driven Systems...
Healthcare Service Management: A Data-Driven Systems Approach (Health Information Science) - Hardcover
- VerlagSpringer
- Erscheinungsdatum2019
- ISBN 10 3030153835
- ISBN 13 9783030153830
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten188
Neu kaufen
Diesen Artikel anzeigen
EUR 106,24
EUR 3,53 für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerSuchergebnisse für Healthcare Service Management: A Data-Driven Systems...
Beispielbild für diese ISBN
Healthcare Service Management. A Data-Driven Systems Approach.
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
Verkäuferbewertung 4 von 5 Sternen
XVII, 168 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Health Information Science. Sprache: Englisch. Bestandsnummer des Verkäufers 11567GB
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Healthcare Service Management: A Data-Driven Systems Approach (Health Information Science)
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar3113020008023
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Healthcare Service Management
Verlag:
Springer International Publishing Mai 2019, 2019
ISBN 10: 3030153835
ISBN 13: 9783030153830
Neu
Hardcover
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals.The approach integrates four methods -- Structural Equation Modeling (SEM)-based analysis;integrated projection;service management strategy design and evaluation;and behavior-based autonomy-oriented modeling --to address respective challenges encountered in performing data analytics and modeling studies on healthcare services. The thrust and uniqueness of this approach lies in the following aspects:Ability to explore underlying complex relationships between observed or latent impact factors and service performance.Ability to predict the changes and demonstrate the corresponding dynamics of service utilization and service performance.Ability to strategically manage service resources with the adaptation of unpredictable patient arrivals.Ability to figure out the working mechanisms that account for certain spatio-temporal patterns of service utilization and performance.To show the practical effectiveness of the proposed systematic approach, this book provides a series of pilot studies within the context of cardiac care in Ontario, Canada. The exemplified studies have unveiled some novel findings, e.g., (1) service accessibility and education may relieve the pressure of population size on service utilization; (2) functionally coupled units may have a certain cross-unit wait-time relationship potentially because of a delay cascade phenomena; (3) strategically allocating time blocks in operating rooms (ORs) based on a feedback mechanism may benefit OR utilization; (4) patients' and hospitals' autonomous behavior, and their interactions via wait times may bear the responsible for the emergence of spatio-temporal patterns observed in the real-world cardiac care system. Furthermore, this book presents an intelligent healthcare decision support (iHDS) system, an integrated architecture for implementing the data-driven complex systems modeling approach to developing, analyzing, investigating, supporting and advising healthcare related decisions.In summary, this book provides a data-driven systematic approach for addressing practical decision-support problems confronted in healthcare service management. This approach will provide policy makers, researchers, and practitioners with a practically useful way for examining service utilization and service performance in various ``what-if' scenarios, inspiring the design of effectiveness resource-allocation strategies, and deepening the understanding of the nature of complex healthcare service systems. 188 pp. Englisch. Bestandsnummer des Verkäufers 9783030153830
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Healthcare Service Management: A Data-Driven Systems Approach (Health Information Science)
Anbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers I-9783030153830
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Healthcare Service Management: A Data-Driven Systems Approach (Health Information Science)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9783030153830_new
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Healthcare Service Management : A Data-Driven Systems Approach
Verlag:
Springer International Publishing, 2019
ISBN 10: 3030153835
ISBN 13: 9783030153830
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals.The approach integrates four methods -- Structural Equation Modeling (SEM)-based analysis;integrated projection;service management strategy design and evaluation;and behavior-based autonomy-oriented modeling --to address respective challenges encountered in performing data analytics and modeling studies on healthcare services. The thrust and uniqueness of this approach lies in the following aspects:Ability to explore underlying complex relationships between observed or latent impact factors and service performance.Ability to predict the changes and demonstrate the corresponding dynamics of service utilization and service performance.Ability to strategically manage service resources with the adaptation of unpredictable patient arrivals.Ability to figure out the working mechanisms that account for certain spatio-temporal patterns of service utilization and performance.To show the practical effectiveness of the proposed systematic approach, this book provides a series of pilot studies within the context of cardiac care in Ontario, Canada. The exemplified studies have unveiled some novel findings, e.g., (1) service accessibility and education may relieve the pressure of population size on service utilization; (2) functionally coupled units may have a certain cross-unit wait-time relationship potentially because of a delay cascade phenomena; (3) strategically allocating time blocks in operating rooms (ORs) based on a feedback mechanism may benefit OR utilization; (4) patients' and hospitals' autonomous behavior, and their interactions via wait times may bear the responsible for the emergence of spatio-temporal patterns observed in the real-world cardiac care system. Furthermore, this book presents an intelligent healthcare decision support (iHDS) system, an integrated architecture for implementing the data-driven complex systems modeling approach to developing, analyzing, investigating, supporting and advising healthcare related decisions.In summary, this book provides a data-driven systematic approach for addressing practical decision-support problems confronted in healthcare service management. This approach will provide policy makers, researchers, and practitioners with a practically useful way for examining service utilization and service performance in various ``what-if' scenarios, inspiring the design of effectiveness resource-allocation strategies, and deepening the understanding of the nature of complex healthcare service systems. Bestandsnummer des Verkäufers 9783030153830
Anzahl: 1 verfügbar
Foto des Verkäufers
Healthcare Service Management
Verlag:
Springer International Publishing, 2019
ISBN 10: 3030153835
ISBN 13: 9783030153830
Neu
Hardcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Utilizes five scenario-based studies to demonstrate how to use the D2CSM approach to address the real-world problems in healthcare services, which make the proposed approach easy to understand and to follow. Readers can learn and practice. Bestandsnummer des Verkäufers 271866392
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Healthcare Service Management : A Data-Driven Systems Approach
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Brand New. 168 pages. 9.25x6.25x0.75 inches. In Stock. Bestandsnummer des Verkäufers x-3030153835
Anzahl: 2 verfügbar