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Supporting the Clinical Trial Recruitment Process through the Grid 19 th September 2006 5 th UK e-Science All-Hands Meeting. University of Glasgow, Scotland, UK Anthony Stell, Richard Sinnott, Oluwafemi Ajayi. Overview. Background Clinical trials VOTES Challenges
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Supporting the Clinical Trial Recruitment Process through the Grid19th September 20065th UK e-Science All-Hands Meeting University of Glasgow, Scotland, UK Anthony Stell, Richard Sinnott, Oluwafemi Ajayi
Overview • Background • Clinical trials • VOTES • Challenges • Current practices, applications and workflows • Security requirements • VOTES Implementation • The Grid part • The Clinical part • Future Plans • Demonstration (depending on time)
Clinical Trials • Improve quality of life by researching drugs and treatments for medical conditions • Plethora of data across many domains • Local, Regional, National, etc. • Efficient trial recruitment requires advanced ways to target potential subjects • Even with these advanced techniques, a high volume of petitions must be made to achieve correspondingly high recruitment numbers
VOTES • Virtual Organisations for Trials and Epidemiological Studies • 3 year (£2.8 million) MRC funded project started in October 2005 • Collaboration between various UK universities: • Glasgow, Oxford, Nottingham/Leicester, Manchester, Imperial College London • Focuses on three key areas of clinical trials: • Patient Recuitment • Data Collection • Study Management
The three key areas… • Patient Recruitment • How many men aged between 45 and 65 had a heart attack last year? How many of them would be willing to participate in the trial of a new drug? • Data Collection • Are the participants taking their drug/placebo on a regular basis? Have there been any incidents relating to the trial? • Study Management • Who can see the trial data (e.g. consultants, nurses)? Who ensures the trial is in the patient’s interest? Can we simplify the ethical review process?
Current Practices • A lot of paper... • Data is entered manually, leading to high error incidence. • Communications are largely paper-based, giving high delay times as documents are passed back and forth. • Biobank (http://www.biobank.ac.uk) is attempting to recruit 500,000 participants between the ages of 40 and 69. Paper-based systems simply won’t cut it for these kinds of numbers…
Current Data & Applications • GPASS • General Practice and Administration Software for Scotland • Used mainly in primary care – GPs etc. • SCI Store • National repository for electronic health records • However, regional variations exist (~18 just now) • Scottish Morbidity Records • Provides information on all hospital admissions throughout Scotland
Clinical Security Requirements • Sensitivity • The importance and privacy level applied to a data field within a health record. • “Anonymisation”, Statistical Inference • Consent • The fundamental requirement of asking a patient whether they will allow their information to be used in this trial and what limits are to be set on that use. • HCP Speciality • The many different types of HCP that exist – this affects access to records sensitive to a specific field • “Broken Glass” scenario • All additional to the traditional “AAA” security requirements…
The Grid part: Implementation • Technologies • GridSphere (2.1) • Globus Toolkit (4.0) • OGSA-DAI (2.2) • Security Framework • Database user management (Resource-level) • Local restrictions on local resources • Access Control matrix (VO-level) • A bit-wise privilege matrix that will be available to the whole VO
The Clinical part… • Collaborating with the Robertson Centre for Biostatistics at Glasgow University. • Provide front-end web applications specifically tailored for recruitment to clinical trials. • Their web services communicate with the Grid infrastructure shown on the previous page.
How does this help? • Current paper-based communication between actors in a trial is replaced by electronic systems • A user-friendly interface familiar to clinicians making efficient use of distributed resources • Increased reliability from failed over components • Flexible and dynamic access to previously inaccessible data sets • Fine-grained limitation to data sets depending on trial role • Increased collaboration between participating institutions
To-Do/Done list… • Further resilience: • Multiple portal, grid and data servers • Database connectivity testing • Uninterrupted service provision • Development of recruitment portal: • To reproduce the recruitment procedures currently used by clinicians in Scotland, but in electronic format • Development of administrative portal: • To manage security and data classification on progressively larger scales • To provide scaleable VO management • Visual demonstration of patient records: • E.g. X-rays of David Beckham or Wayne Rooney’s metatarsal • Ties in with GLASS project (A “Shibbolized” version of the VOTES portal)
Futures • Follow-up work • Increasingly integrated collaboration with Information Services Division of NHS-Scotland • Scottish Family Health Study • Researching genetic databases, the health data therein, with particular emphasis on hereditary conditions • PERISCOPE • To provide a production level e-Research infrastructure for Scottish clinical data • Global Vision • Eventually hope this will turn into a global solution • First step is to integrate south of the border with other nodes of the VOTES project
Further Information • Website: http://www.nesc.ac.uk/hub/projects/votes • Portal: http://labpc-12.nesc.gla.ac.uk:18080/gridsphere • Contact: • Prof. Richard Sinnott – r.sinnott@nesc.gla.ac.uk • Anthony Stell – a.stell@nesc.gla.ac.uk • Oluwafemi Ajayi – o.ajayi@nesc.gla.ac.uk