A Participatory Model for Multi-Document Health Information Summarisation

Dinithi Nallaperuma, Daswin De Silva

Abstract


Increasing availability and access to health information has been a paradigm shift in healthcare provision as it empowers both patients and practitioners alike. Besides awareness, significant time savings and process efficiencies can be achieved through effective summarisation of healthcare information. Relevance and accuracy are key concerns when generating summaries for such documents. Despite advances in automated summarisation approaches, the role of participation has not been explored. In this paper, we propose a new model for multi-document health information summarisation that takes into account the role of participation. The updated IS user participation theory was extended to explicate these roles. The proposed model integrates both extractive and abstractive summarisation processes with continuous participatory inputs to each phase. The model was implemented as a client-server application and evaluated by both domain experts and health information consumers. Results from the evaluation phase indicates the model is successful in generating relevant and accurate summaries for diverse audiences.

Keywords


Summarization; Multi-document; User Participation; Health Informatics; MEAD; Ontology; Templates

Full Text:

PDF


DOI: http://dx.doi.org/10.3127/ajis.v21i0.1393

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
ISSN: Online: 1326-2238 Hard copy: 1449-8618
This work is licensed under a Creative Commons Attribution-NonCommercial Licence. Uses the Open Journal Systems. Web design by TomW.