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Centre for Health Informatics and Multiprofessional Education

Centre for Health Informatics and Multiprofessional Education. CHIME, UCL David Ingram, Dipak Kalra, James MacKay, David Lloyd, Tony Austin, Alex O’Connor, Vivienne Griffith, Nathan Lea, Yin Su Lim, Tom Beale Whittington Hospital, London David Patterson Royal Marsden Hospital, London

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Centre for Health Informatics and Multiprofessional Education

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  1. Centre for Health Informatics and Multiprofessional Education CHIME, UCL David Ingram, Dipak Kalra, James MacKay, David Lloyd, Tony Austin, Alex O’Connor, Vivienne Griffith, Nathan Lea, Yin Su Lim, Tom Beale Whittington Hospital, London David Patterson Royal Marsden Hospital, London Jo Milan Judge Institute, Cambridge Don Detmer, Peter Singleton Research into the Design and Implementation of Electronic Health Records

  2. Clinical trials,functional genomicsand inherited genotype Date: 1.7.94 Whittington Hospital Healthcare Record John Smith DoB : 12.5.46 Decision support, knowledge management and analysis components EHR systems and servers Personnel registers,security services Mobile devices Clinical devices, instruments Clinical applications

  3. Define classes of EPR data to be excluded, or to be marked as sensitive Identify patients for CLEF RMH EPR system Royal Marsden Hospital Extract relevant EPR data Remove any patient identifiers Create CLEF 'patient' ID (capable of tracing back to real patients, with permission) Create export (XML) Cambridge University Health Advice and evaluation Transfer securely to UCL (encrypted file transfer) UCL Import into EHR Remove any residual identifiers Create CLEF internal ID Map XML tags to CLEF archetypesLabel sensitive data items as restricted Label narratives as very restricted Import the data into the EHR Sheffield Manchester Narratives (v. restricted) Information Extraction and Clinical coding Anonymised EHR Access control filter Audit trail Query service Brighton -> OU [Mark up codes and generated text are not restricted, but original narratives remain very restricted] Text generation from codes Detailed queries Ad hoc queries Predefined queries Query workbench:

  4. Collaborating EHR demonstrator sites Copenhagen Uppsala Rotterdam Amsterdam Oslo Brussels Helsinki Stockholm Manchester Dublin Goettingen Bonn London Krakow Paris Luxembourg Oporto Australia Lyons Barcelona Geneva Rome Athens

  5. Validatedstandards Harmonisedstandards Interoperabilitywith mainsteam messagestandards Working at the heart of EHR interoperability standards Leadership of CEN EHR Communications standard EN13606 Leadership of newISO EHR Reference Model standard UCL ElectronicHealthRecord R&D Active contributions to HL7Clinical Document ArchitectureClinical statement interoperability Archetypes & Templates Founding shareholder ofthe international openEHR Foundation

  6. openEHR Archetype hierarchy: managing the clinical data structure of the repositoryConfigurable and adaptable for different clinical settings, and as medicine evolves

  7. The repository so far: 22,000 patients, 4.1 million EHR nodes, 2.1 million data values 400,000 narratives, for Information Extraction

  8. London Genetics • 7 London academic medical institutions agreed to collaborate; Imperial, King’s, Queen Mary University, St George’s Medical School, The London School of Hygiene and Tropical Medicine, The Institute of Cancer Research and University College. • Supported by the University of London, the London School of Economics and Political Science, and by the London School of Pharmacy • Start-up funding of £2 million secured from LDA and DTI • Steering group chaired by Professor Steve Smith, Principal of the Imperial Medical School will meet for first time on 27th April • Aim is to provide genetic services in clinical trial activity within a commercial environment • Start with oncology and move into other disease areas rapidly

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