Communications Infrastructure. Systems and Applications in Europe. First International ICST Conference, EuropeComm 2009, London, UK, August 11-13, 2009, Revised Selected Papers

Research Article

e-Labs and Work Objects: Towards Digital Health Economies

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  • @INPROCEEDINGS{10.1007/978-3-642-11284-3_22,
        author={John Ainsworth and Iain Buchan},
        title={e-Labs and Work Objects: Towards Digital Health Economies},
        proceedings={Communications Infrastructure. Systems and Applications in Europe. First International ICST Conference, EuropeComm 2009, London, UK, August 11-13, 2009, Revised Selected Papers},
        proceedings_a={EUROPECOMM},
        year={2012},
        month={5},
        keywords={Health Intelligence Collaboration Work Objects e-Lab Digital Economy Health Economy Analysis Workbench},
        doi={10.1007/978-3-642-11284-3_22}
    }
    
  • John Ainsworth
    Iain Buchan
    Year: 2012
    e-Labs and Work Objects: Towards Digital Health Economies
    EUROPECOMM
    Springer
    DOI: 10.1007/978-3-642-11284-3_22
John Ainsworth1,*, Iain Buchan1,*
  • 1: University of Manchester, Manchester Academic Health Science Centre
*Contact email: john.ainsworth@manchester.ac.uk, iain.buchan@manchester.ac.uk

Abstract

The optimal provision of healthcare and public health services requires the synthesis of evidence from multiple disciplines. It is necessary to understand the genetic, environmental, behavioural and social determinants of disease and health-related states; to balance the effectiveness of interventions with their costs; to ensure the maximum safety and acceptability of interventions; and to provide fair access to care services for given populations. Ever expanding databases of knowledge and local health information, and the ability to employ computationally expensive methods, promises much for decisions to be both supported by best evidence and locally relevant. This promise will, however, not be realised without providing health professionals with the tools to make sense of this information rich environment and to collaborate across disciplines. We propose, as a solution to this problem, the e-Lab and Work Objects model as a sense-making platform for digital health economies - bringing together data, methods and people for timely health intelligence.