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Facilitating Knowledge Management in Pervasive Health Care Systems

Facilitating Knowledge Management in Pervasive Health Care Systems
Facilitating Knowledge Management in Pervasive Health Care Systems
Realising the vision of pervasive health care will generate new challenges for knowledge management and data integration. Such challenges are fundamentally different from issues and problems that we face in centralised approaches as well as non-clinical scenarios. In this paper, we reflect upon our experiences in the MIAKT project wherein a prototype system was developed to support data integration and decision making in the breast cancer domain. While the decision making needs to rely on different clinical expertise, the MIAKT system leveraged a system ontology to glue together distributed services. Situating the MIAKT system in a highly pervasive environment reveals the inefficiency of global vocabularies via domain ontologies and the inappropriateness of “static” system ontologies with assigned system configuration instances. We examine the capability of a process calculus based language, Lightweight Coordination Calculus (LCC), in meeting knowledge management challenges in pervasive health care. The key difference in approach lies in making the representational abstraction reflect the relative autonomy of the various clinical specialisms (eg., mammography or histopathology) involved in contributing to patient management. The bringing together of diverse forms of information necessary for the collective medical assessment is managed by tracking the message passing protocols undertaken by medical personnel. The scope within LCC of accommodating boolean-valued constraints allows for flexible integration of heterogeneous sources in multiple formats, which are characteristic features of a pervasive healthcare environment.
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Dupplaw, David
c563ca2b-756a-4d3f-bf99-4f60bb2be1ce
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Dupplaw, David
c563ca2b-756a-4d3f-bf99-4f60bb2be1ce
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Hu, Bo, Dasmahapatra, Srinandan, Lewis, Paul, Dupplaw, David and Shadbolt, Nigel (2010) Facilitating Knowledge Management in Pervasive Health Care Systems. In, Networked Knowledge - Networked Media. Integrating Knowledge Management, New Media Technologies and Semantic Systems.

Record type: Book Section

Abstract

Realising the vision of pervasive health care will generate new challenges for knowledge management and data integration. Such challenges are fundamentally different from issues and problems that we face in centralised approaches as well as non-clinical scenarios. In this paper, we reflect upon our experiences in the MIAKT project wherein a prototype system was developed to support data integration and decision making in the breast cancer domain. While the decision making needs to rely on different clinical expertise, the MIAKT system leveraged a system ontology to glue together distributed services. Situating the MIAKT system in a highly pervasive environment reveals the inefficiency of global vocabularies via domain ontologies and the inappropriateness of “static” system ontologies with assigned system configuration instances. We examine the capability of a process calculus based language, Lightweight Coordination Calculus (LCC), in meeting knowledge management challenges in pervasive health care. The key difference in approach lies in making the representational abstraction reflect the relative autonomy of the various clinical specialisms (eg., mammography or histopathology) involved in contributing to patient management. The bringing together of diverse forms of information necessary for the collective medical assessment is managed by tracking the message passing protocols undertaken by medical personnel. The scope within LCC of accommodating boolean-valued constraints allows for flexible integration of heterogeneous sources in multiple formats, which are characteristic features of a pervasive healthcare environment.

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Published date: 2010
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 266682
URI: https://eprints.soton.ac.uk/id/eprint/266682
PURE UUID: b305b8c5-4bec-49a5-959d-166bd30deca9

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Date deposited: 19 Sep 2008 13:32
Last modified: 18 Jul 2017 07:13

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Contributors

Author: Bo Hu
Author: Srinandan Dasmahapatra
Author: Paul Lewis
Author: David Dupplaw
Author: Nigel Shadbolt

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