KeepWell: A Generic Platform for the Self-Management of Chronic Conditions

Timothy Patterson, Federico Cruciani, Ian Cleland, Chris Nugent, Norman Black, Paul McCullagh, Huiru Zheng, Mark Donnelly, Suzanne M McDonough, Adele Boyd

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The number of persons living with chronic conditions such as Chronic Obstructive Pulmonary Disease, Dementia and Stroke is projected to continue to rise in the decades ahead. One emerging approach to reducing the consequent socio-economic burdens is the self-management paradigm whereby a patient is empowered through education, goal setting, measurement and quantification of health metrics, and feedback. This empowerment enables a patient to effectively manage their own long-term conditions. Here we present the current generic data models for educational content provision, setting goals and recording measurements utilised in the KeepWell self-management technology platform. We provide implementation details for each component and consequently identify areas of future work.
Original languageEnglish
Title of host publicationUnknown Host Publication
Pages891-896
Number of pages6
Volume57
DOIs
Publication statusAccepted/In press - 23 Dec 2015
Event14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 - Paphos, Cyprus
Duration: 23 Dec 2015 → …

Conference

Conference14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
Period23/12/15 → …

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Keywords

  • Chronic conditions
  • Data models
  • KeepWell
  • Technology based self-management
  • Wellbeing

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