I am a leading exponent internationally of the “Learning Health System’ (LHS) concept. Although my initial training in research was in heath technology assessment, real-world (pragmatic) clinical trials and clinical research in Family Medicine, since 2003 I have worked in the area of Clinical Informatics, being appointed to a Chair in Medical Informatics at Imperial in 2015 and elected one of the first 100 founding fellows of the new UK Faculty of Clinical Informatics in 2017. I have had wide exposure to European and US clinical informatics through workshops and symposia.
I was the UK lead investigator on an NIH Clinical Research Roadmap project (The Electronic Primary Care Research Network. HHS268N200425212C) 2006-10. From 2010-15 I led a €9million EU FP7 programme, ‘TRANSFoRm: Patient Safety and Translational Research in Europe’.
TRANSFoRm set about using ontologies, data standards and models to create a common infrastructure for the LHS with three specific use cases (eSource for clinical trials, phenomics and clinical diagnosis.
Since moving to Imperial, I work in the Institute of Global Health Innovation, with research in Artificial Intelligence, cancer diagnosis and learning systems, eSource for clinical trials and global eHealth. I sit on the Cancer Research UK Population research funding panel and the Medical Research Council Methodology Research panel.
Currently there are three areas of active research:
1. eSource for clinical trials. Clinical trial workflow and data collection embedded in primary care EHR systems, currently being deployed as part of the HTA REST study and supported by Health Data Research UK.
2. LHS and guidelines. Completing the LHS cycle with a computational infrastructure for deploying guidelines as decision support linked to the EHR. Currently supported as an EPSRC Global Health Development Project (www.ROAD2H.org).
3. Establishing a LHS for diagnosis. Currently moving from a prototype evaluated in a rich simulation to deployment in practices. Funded by CRUK.
Nurek M, Delaney BC, Kostopoulou O, Risk assessment and antibiotic prescribing decisions in children presenting to UK primary care with cough: a vignette study, Bmj Open, ISSN:2044-6055
Kostopoulou O, Nurek M, Delaney B, Disentangling the Relationship Between Physician and Organizational Performance: A Signal Detection Approach, Medical Decision Making, ISSN:0272-989X
et al., 2019, The impact of governance in primary health care delivery: a systems thinking approach with a European panel, Health Research Policy and Systems, Vol:17, ISSN:1478-4505, Pages:1-16
et al., 2019, Referral decision making of General Practitioners: a signal detection study, Medical Decision Making, Vol:39, ISSN:0272-989X, Pages:21-31
et al., 2018, An instrument to identify computerised primary care research networks, genetic and disease registries prepared to conduct linked research: TRANSFoRm International Research Readiness (TIRRE) survey., J Innov Health Inform, Vol:25, Pages:207-220