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On Performance of Prioritized Appointment Scheduling for Healthcare
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science. Blekinge institute of Technology.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2019 (English)In: Journal of Service Science and Management, ISSN 1940-9893, E-ISSN 1940-9907, Vol. 12, p. 589-604Article in journal (Refereed) Published
Abstract [en]

Designing the appointment scheduling is a challenging task for the development of healthcare system. The efficient solution approach can provide high-quality healthcare service between care providers (CP)s and care receivers (CR)s. In this paper, we consider the healthcare system with the heterogeneous CRs in terms of urgent and routine CRs. Our suggested model assumes that the system gives the service priority to the urgent CRs by allowing them to interrupt the ongoing routine appointments. An appointment handoff scheme is suggested for the interrupted routine appointments, and thus the routine CRs can attempt to re-establish the appointment scheduling with other available CPs. With these considerations, we study the scheduling performance of the system by using the Markov chains based modeling approach. The numerical analysis is reported and the simulation experiment is conducted to validate the numerical results.

Place, publisher, year, edition, pages
Scientific Research Publishing, 2019. Vol. 12, p. 589-604
Keywords [en]
Appointment Scheduling, Healthcare System, Queueing Theory, Discrete Time Markov Chain (DTMC)
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:bth-18699DOI: 10.4236/jssm.2019.125040OAI: oai:DiVA.org:bth-18699DiVA, id: diva2:1355212
Note

open access

Available from: 2019-09-27 Created: 2019-09-27 Last updated: 2019-10-09Bibliographically approved
In thesis
1. Heterogeneous Knowledge Sharing in eHealth: Modeling, Validation and Application
Open this publication in new window or tab >>Heterogeneous Knowledge Sharing in eHealth: Modeling, Validation and Application
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Knowledge sharing has become an important issue in the eHealth field for improving the quality of healthcare service. However, since eHealth subject is a multidisciplinary and cross-organizational area, knowledge sharing is a serious challenge when it comes to developing eHealth systems. Thus, this thesis studies the heterogeneous knowledge sharing in eHealth and proposes a knowledge sharing ontology. The study consists of three main parts: modeling, validation and application.

In the modeling part, knowledge sharing in eHealth is studied from two main aspects: the first aspect is the heterogeneous knowledge of different healthcare actors, and the second aspect is the interactivities among various healthcare actors. In this part, the contribution is to propose an Activity Theory based Ontology (ATO) model to highlight and represent these two aspects of eHealth knowledge sharing, which is helpful for designing efficient eHealth systems.

In the validation part, a questionnaire based survey is conducted to practically validate the feasibility of the proposed ATO model. The survey results are analyzed to explore the effectiveness of the proposed model for designing efficient knowledge sharing in eHealth. Further, a web based software prototype is constructed to validate the applicability of the ATO model for practical eHealth systems. In this part, the contribution is to explore and show how the proposed ATO model can be validated.

In the application part, the importance and usefulness of applying the proposed ATO model to solve two real problems are addressed. These two problems are healthcare decision making and appointment scheduling. There is a similar basic challenge in both these problems: a healthcare provider (e.g., a doctor) needs to provide optimal healthcare service (e.g., suitable medicine or fast treatment) to a healthcare receiver (e.g., a patient). Here, the optimization of the healthcare service needs to be achieved in accordance with eHealth knowledge which is distributed in the system and needs to be shared, such as the doctor’s competence, the patient’s health status, and priority control on patients’ diseases. In this part, the contribution is to propose a smart system called eHealth Appointment Scheduling System (eHASS) based on ATO model.

This research work has been presented in eight conference and journal papers, which, along with an introductory chapter, are included in this compilation thesis.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2019
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 11
Keywords
Knowledge sharing, eHealth, Activity Theory, Ontology, Decision making, Appointment scheduling
National Category
Computer Sciences Computer and Information Sciences
Identifiers
urn:nbn:se:bth-18707 (URN)978-91-7295-383-3 (ISBN)
Public defence
2019-11-14, J1640, Campus Gräsvik, Karlskrona, 13:30 (English)
Opponent
Supervisors
Available from: 2019-09-27 Created: 2019-09-27 Last updated: 2019-09-30Bibliographically approved

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