Summary
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.
Publications
Journals
Kostopoulou O, Nurek M, Cantarella S, et al., 2019, Referral Decision Making of General Practitioners: A Signal Detection Study, Medical Decision Making, Vol:39, ISSN:0272-989X, Pages:21-31
Jennings E, De Lusignan S, Michalakidis G, 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
Okoli GN, Kostopoulou O, Delaney BC, 2018, Is symptom-based diagnosis of lung cancer possible? A systematic review and meta-analysis of symptomatic lung cancer prior to diagnosis for comparison with real-time data from routine general practice, Plos One, Vol:13, ISSN:1932-6203
Redmond NM, Turnbull S, Stuart B, et al., 2018, Impact of antibiotics for children presenting to general practice with cough on adverse outcomes: second analysis from a multicentre prospective cohort study, British Journal of General Practice, Vol:68, ISSN:0960-1643, Pages:E682-E693
Verheij RA, Curcin V, Delaney BC, et al., 2018, Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse, Journal of Medical Internet Research, Vol:20, ISSN:1438-8871