Health and Social Data Integration   

  • Problem statement

    Problem statement

    Electronic health record data are siloed within jurisdictions and local provider systems and remain separate from other sources of social science data. Although electronic health record data are predominantly recorded for clinical care and billing purposes, a wealth of social information is collected within both coded fields and clinical text. This creates unrealised research potential limiting the jurisdictional and substantive scope of studies jointly investigating health and social outcomes in the context of an ageing society with expanding health sectors.

  • SSRIN response

    SSRIN response

    ‍This project component develops governance and technical data linkage models for integrating hospital electronic health record data from across an entire geographic region serviced by Bayside Health-Peninsula and managed by the National Centre for Healthy Ageing, with social science administrative data. The potential for expanding the geographical/ jurisdictional scope of this model will also be explored.  

    ‍It will also develop an AI prototype for extracting structured patient information from clinical notes held within electronic health record systems.

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  • Intended longer-term outcomes

    Intended longer-term outcomes

    New integrated data assets combining electronic health record data with social science data are created and geographically expanded that facilitate innovative analyses that can provide new insights into population wellbeing and service effectiveness.

  • Team

    Team

    This component is jointly undertaken by The National Centre for Healthy Ageing (NCHA; a partnership between Monash University and Bayside Health-Peninsula) and the University of Queensland (UQ).

    The team is led by:

    Prof Nadine Andrew (NCHA, Monash University)

    Dr Matthew Curry (UQ)

Explore our other project components:

Integrated Data Usability


Health and Social Science Data Integration


Public Social Science Data


Guidelines for Indigenous Data


Training and Capacity Building