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This is the published version of a paper presented at Swedish Communication Technologies Workshop (Swe-CTW), Sweden, June, 2016.
Citation for the original published paper:
Guo, Y., Bai, G., Yao, Y. (2016)
A new Software Framework for Heterogeneous Knowledge Sharing in Healthcare system.
In:
N.B. When citing this work, cite the original published paper.
Permanent link to this version:
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15584
Ongoing Works
Swedish Communication Technologies Workshop (Swe-CTW 2016), June, Sundsvall
Background & Motivation
• In healthcare system, it is important for health professionals to regularly gather and analyze the health status of patients.
• The analytical results can be further transferred as knowledge, based on which the health professionals can gain deep insight into the way of how the patients perceive their health problems.
• Knowledge Sharing (KS) can be considered as the part of the knowledge-transfer process, and it includes two main tasks: i) forming the data as knowledge; ii) making the knowledge useful for different healthcare actors such as doctors, patients, relatives, and so on.
• KS is however a sophisticated task in term of how to efficiently deal with heterogeneous information gathered from healthcare actors. The corresponding goal is to improve the delivery quality of healthcare services.
A new software framework for heterogeneous knowledge sharing in healthcare system
Yang Guo, Yong Yao and Guohua Bai
Blekinge Institute of Technology, Sweden yang.guo, yong.yao, guohua.bai@bth.se
Solution Approach: A New Software Framework
Example of healthcare system enhanced with ICTs
• Wearable sensors are used to identify the healthcare objectives and capture the corresponding information, and thus creating the knowledge source.
• Activity theory ontology model is used to represent various healthcare actors and the interactivities among them.
• Web techniques are used to practically implement the platform that stores, distributes and applies the knowledge in the healthcare system.
• Both decision support system and appointment scheduling are two particular applications of knowledge sharing.
Emergency Surgery
Diagnostic Labs Specialists ICTs
Home care
Lower Application Programming Interfaces (LAPIs) Prediction Algorithm
Other Algorithms Overlay Decision Maker Numerical
Analysis
&
Simulation Objectives
Upper Application Programming Interfaces (UAPIs)
Fuzzy Logic Neural Network
Open for care providers/receivers via webpage, mobile terminal…
Add the new parameters and algorithms
[1] Y. Guo, Y. Yao, and G.H. Bai, “On Enhancement of Inter-Activity for Knowledge Sharing in eHealth”, The 11th International Conference on Communications, accepted, Bucharest, Romania, June 2016.
[2] Y. Guo, Y. Yao, and G.H. Bai, “eHASS: A Smart Appointment Scheduling System for eHealth”, SNCNW 2016, June 2016.
[3] Y. Guo, Y. Yao, and G.H. Bai, “On Performance of Prioritized Appointment Scheduling for Healthcare”, Submitted to a Journal, 2016.
Prototype for activity theory ontology [1] Decision support system [2] On Performance of appointment scheduling [3]
An emergent appointment
No. of ongoing emergent
appointments < M ? Blocked
A normal appointment
No. of total ongoing appointments < M ? Requested Requested
A normal appointment scheduled to this CP?
Forced- termination No
Yes Yes
Schedule an emergent CR
Service- completion
Schedule a normal CR Appointment handoff Yes
successful?
No
Service- completion No
Yes Select an
idle CP Knowledge
Creation
Knowledge Codification
Knowledge Transfer
Knowledge Application
Software framework
Knowledge management & sharing
Decision support system
Appointment scheduling Wearable
sensors
Activity theory Ontology
Web techniques
