With apologies for the delay in getting this to you, here comes the first of our updates on last Monday's NIHR Office for Clinical Research Infrastructure (NOCRI) Information Systems Workshop!
The workshop was held at Guy's Hospital and the introductory remarks began with a welcome from Professor Simon Lovestone, who is, in addition to being the Director of the Mental Health Biomedical Research Centre at South London and Maudsley & King's College London, Director of Research at King's Health Partners Academic Health Sciences Centre.He was followed by Mark Samuels (MD, NOCRI) and Peter Knight who is now Deputy Director of R&D and Head of Research Information and Intelligence at the Department of Health.
Session 1 - Chair: Prof. Peter Parker, Cancer Theme Lead, NIHR BRC at Guy's and St. Thomas' NHS Foundation Trust & King's College London.
We've blogged twice before about Mike Denis's presentation covering South London and Maudsley NHS Foundation Trust's (SLaM) Clinical Records Interactive Search (CRIS) system - Mike was up first in the first session after the introductory messages and talked on the Vision for Translational Informatics at SLaM.
He talked to two themes in relation to SLaM's creation of a Personal Health Record, the first being the technical aspects (including deep pseudonymisation - meaning that it extends into the free-text within records) and the second being the social aspect that puts the patient in the driving seat of the process but also aims to link Patient Reported Outcomes to research.
An interesting aspect of the technical discussion was the use of intelligent agents to provide automated analysis and predictive analysis - which chimed with Prof. Michael Luck's comments later in the day on the use of computer sicence agents in medical informatics - of which more later.
Mike emphasised the scalability of the approach, the potential to implement it across multiple centres and carry out data linkage inter-organisationally.
Here's the abstract provided for Mike's talk:
“Within SLAM, we have sought to focus on a relatively fine-grain model
of clinical informatics, building the Clinical Records Interactive Search
(CRIS) system which provides researchers access to full but anonymised data on
a large mental health NHS provider covering a 1.2m population catchment area
and containing over 180,000 case records. Key areas for resource development
which will be outlined include the routine collection of consent for researcher
contact, informative data linkage with internal (biological) and external
(health and social) data resources, and adding depth to the dataset through
natural language processing, shared health records and patient reported
outcomes. We believe that these developments, coupled with advances in nested
trial designs and electronic health records (EHR) feedback loops will help move
the current focus of EHR and 'case register' research in our field from an
observational to translational footing.”