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eHASS: A Smart Appointment Scheduling System for eHealth
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies. Blekinge institute of Technology.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In the eHealth system, the appointment scheduling is an important task for the delivery of healthcare service among different healthcare actors. The key procedure is to do the decision making on the selection of suitable appointments between the care providers and the care receivers. The appointment decisionis a sophisticated problem in terms of how to efficiently deal with various parameters of involved healthcare actors. To solve this problem, we suggest a smart system called eHealth Appointment Scheduling System (eHASS). eHASS takes into account both heterogeneous aspects and interoperability requirements of eHealth system. As such, eHASS is capable of jointly considering various appointment characterizations and decision making algorithms for conducting appointment scheduling. The paper reports the eHASS architecture as well as the related work-in-progress.

Place, publisher, year, edition, pages
2016.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-15580OAI: oai:DiVA.org:bth-15580DiVA, id: diva2:1161228
Conference
12th Swedish National Computer Networking Workshop (SNCNW), Sundsvall
Available from: 2017-11-29 Created: 2017-11-29 Last updated: 2019-09-27Bibliographically 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: 2019-11-18Bibliographically approved

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eHASS: A Smart Appointment Scheduling System for eHealth(3352 kB)148 downloads
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Yao, YongBai, Guohua

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