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Health Web Science: Formulating Healthcare for the 21st Century
– A Health Web Metadata Curation Framework to Evolve a
Behavioral Model for Preferable Health Outcomes
Grant P. Cumming1,2,3, Joanne S. Luciano4, David Molik5, Tara French6
1 NHS Grampian
2 University of Aberdeen
3 University of Highlands and Islands
4 Rensselaer Polytechnic Institute, Troy, New York, USA
5 Cold Spring Harbor Laboratories,Cold Spring Harbor, New York
6
Digital Health Institute, Institute of Design Innovation, The Glasgow School of Art
Abstract. To address the complex societal challenges or solve the current
problems facing health care delivery, whether caused by ageing populations,
globalisation and long term/chronic conditions, a shift from the traditional
reactive model to a proactive health care model has begun. Furthermore, as
knowledge about individual variation, in particular genetic variation, epigenetics
and drug response increases, there is an evolution from a one size fits all to
personalised treatment protocols. In addition, “gender-specific medicine” and a
“life course approach to health” are emerging areas of study, to further tailor
treatment plans to the patient. Thus the future of medicine is shifting to a
patient-centric model, that is: personalised, preventative, participatory and
predictive. This new approach utilizes the Internet and is underpinned by the
academic disciplines of Health Web Science and Medicine 2.0. where the
utilization of digital interventions play a significant role. Health Care
information therefore provided through the conduit of the Internet that employs
an effective behavioural model may have a pivotal role in changing health
behaviours. However current evaluation and impact of of healthcare on health
outcomes via the Internet is limited in its scope in terms of feedback and
throughput between the Web, healthcare providers and patients. The curation of
metadata of and about the Health Web is a potential tool to be able to analyse
health outcomes. Metadata curation from websites and Web data increases the
utility of social networks, social machines, and documentation. Web
Observatories work by the insertion of metadata into a web site and using a
crawler to associate these sites. Health Web Observatories will be required to
enable the triangulation of data to identify new integrated strategies for
preferable health outcomes. This position paper presents an integrated
behavioural model, the need for Health Web Observatories, the minimum
necessary components for a Health Web Observatory, and a challenge to the
community to develop the necessary software tools.
Copyright © 2016 by the paper's authors. Copying permitted for private and academic purposes.
In: G. Cumming, T. French, H. Gilstad, M.G. Jaatun, E.A A. Jaatun (eds.):
Proceedings of the 3rd European Workshop on Practical Aspects of Health Informatics
(PAHI 2015), Elgin, Scotland, UK, 27-OCT-2015, published at http://ceur-ws.org
114