Imperial College London

ProfessorBrendanDelaney

Faculty of MedicineDepartment of Surgery & Cancer

Chair in Medical Informatics and Decision Making
 
 
 
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Contact

 

+44 (0)20 7594 3427brendan.delaney Website

 
 
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Location

 

506Medical SchoolSt Mary's Campus

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Summary

 

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. 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).

2. Establishing a LHS for diagnosis. Currently moving from a prototype evaluated in a rich simulation to deployment in practices. Funded by CRUK.

3. Developing a clinical prediction rule for the risk of admission/death in acute Covid in Primary care. RECAP - funded by the Community Jameel Imperial College Covid-19 Excellence fund (and collaborating with Oxford University). RECAP

Publications

Journals

Kostopoulou O, Nurek M, Delaney B, 2020, Disentangling the relationship between physician and organizational performance: a signal detection approach, Medical Decision Making, Vol:40, ISSN:0272-989X, Pages:746-755

Nurek M, Delaney BC, Kostopoulou O, 2020, Risk assessment and antibiotic prescribing decisions in children presenting to UK primary care with cough: a vignette study, Bmj Open, Vol:10, ISSN:2044-6055

Espinosa-González AB, Delaney BC, Marti J, 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

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

Okoli GN, Kostopoulou O, Delaney BC, 2018, Correction: 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, Pages:1-1

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