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eHASS: A Smart Appointment Scheduling System for eHealth
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier. Blekinge institute of Technology.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kreativa teknologier.
2016 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2016.
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-15580OAI: oai:DiVA.org:bth-15580DiVA, id: diva2:1161228
Konferanse
12th Swedish National Computer Networking Workshop (SNCNW), Sundsvall
Tilgjengelig fra: 2017-11-29 Laget: 2017-11-29 Sist oppdatert: 2019-09-27bibliografisk kontrollert
Inngår i avhandling
1. Heterogeneous Knowledge Sharing in eHealth: Modeling, Validation and Application
Åpne denne publikasjonen i ny fane eller vindu >>Heterogeneous Knowledge Sharing in eHealth: Modeling, Validation and Application
2019 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Karlskrona: Blekinge Tekniska Högskola, 2019
Serie
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 11
Emneord
Knowledge sharing, eHealth, Activity Theory, Ontology, Decision making, Appointment scheduling
HSV kategori
Identifikatorer
urn:nbn:se:bth-18707 (URN)978-91-7295-383-3 (ISBN)
Disputas
2019-11-14, J1640, Campus Gräsvik, Karlskrona, 13:30 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2019-09-27 Laget: 2019-09-27 Sist oppdatert: 2019-11-18bibliografisk kontrollert

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

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