Our Strategic Plan
CONDUIT™ Electronic Data Integration
For electronic patient data to be integrated adequately, it has to be considered at 4 different levels. The entire integration work conducted within CONDUIT™ is mapped alongside the progression through these levels.
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Electronic Data Integration |
Implication for clinical care |
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Organisational Level |
Sharing of patient information at point of care |
Behavioural Level |
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Data Quality Level |
Good clinical care information |
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System (Technical) Level |
CONDUIT™ Phase 1 has established a database with non-identifiable patient information integrated from source systems in a general practice network in the Goulburn Valley. The database consists of routine collection of a core demographic and clinical dataset and periodic collection of specific data for clinical or educational purposes.
CONDUIT™ Phase 2 extends the Phase 1 network to include hospital (RMH Diabetes Clinic Database in Goulburn Valley Base Hospital Diabetes Clinic) and other databases and allow re-identification of the patient in the source systems. This will avoid double counting and contribute to the accuracy and completeness of patient information, leading to improved clinical care. An optimum core dataset (comprising demographics, health problems, medications and processes of care) will be collected routinely and augmented by periodic collection of specific data for clinical or educational purposes. The unique CONDUIT™ ‘opt-out’ Patient Consent model, approved in May 2007, paves the way for greater flexibility in ability to extract and share data.
CONDUIT™ Phase 3 will commence field test of systems and tools developed in Phases 1 and 2 in northeast Victoria (includes GVH, NEHW and the GVGP, CHDGP and NEVDGP) and Northern Melbourne (includes MH, NH, and the NMDP and NWMDGP) where combined population is approximately 1 million (approx 100,000 in NE Victoria).
CONDUIT™ Phase 3 will also involve a cohort of patients who have interactions with specialist database at RMH and GVH Diabetes Clinics and GP databases. The population size provides sufficient statistical power to allow rural-metropolitan comparisons as well as facilitate greater understanding of how a shared EHR or ‘HealthConnect’ might work.
Future with CONDUIT™
CONDUIT™ will contribute to innovation in organisation, linkages, priority communications and relationships at the primary-secondary care interface. The CONDUIT™ processes, protocols and impacts, will contribute to the knowledge base and build capacity among health care professionals. The models and tools will be freely available to facilitate a wider CONDUIT™ implementation, sharing interoperable information systems, data and knowledge with collaborators.