1 / 10

The Clinical e-Science Framework: An Example of Remote Data Access

The Clinical e-Science Framework: An Example of Remote Data Access. Mark Elliot, CCSR, University of Manchester Mark.Elliot@manchester.ac.uk Cathie Marsh Centre for Census and Survey Research, University of Manchester . CLEF Consortium. Approximately 40 Staff from University of Manchester

lotte
Télécharger la présentation

The Clinical e-Science Framework: An Example of Remote Data Access

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Clinical e-Science Framework:An Example of Remote Data Access Mark Elliot, CCSR, University of Manchester Mark.Elliot@manchester.ac.uk Cathie Marsh Centre for Census and Survey Research, University of Manchester 

  2. CLEF Consortium Approximately 40 Staff from • University of Manchester • University of Sheffield • University College London • University of Brighton • Royal Marsden Hospital, London

  3. CLEF Consortium • AI • HPC • Medical Informatics • Computer Security • SDC • Medicine

  4. Purpose • To provide a system for allowing research access to patient data, whilst maintaining privacy. • Patient records • Database • Texts such as referral letters and other clinical texts • Text mining system convert to microdata

  5. CLEF Proposed Architecture Firewall Raw Data PRE-ACCESS DQI Monitor PRE-ACCESS SDRA/SDC Treated Data PRE-Output DQI Monitor PRE-OUTPUT SDRA/SDC Data Intrusionsentry Workbench

  6. Data Sentry: an AI system • Monitors patterns of analytical requests • 3 levels: users, institution, world. • Looking for intrusive patterns. • Numbers of requests • Stores Analytical requests for future use.

  7. CLEF Proposed Architecture Firewall Raw Data PRE-ACCESS DQI Monitor PRE-ACCESS SDRA/SDC Treated Data PRE-Output DQI Monitor PRE-OUTPUT SDRA/SDC Data Intrusionsentry Workbench

  8. Data Quality • User analyses are run on both treated and untreated data. • Outputs are compared and assessed for difference. • Major research area – Knowledge Engineering • Analyses are stored and collectively run over pre and post SDC files for assessment of impact.

  9. Early Implementation Simple analyses on the work bench. Deceased Patient Data

  10. Thank you visit www.clef-user.com for more information

More Related