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Challenges for learning health systems in the NHS. Case study: electronic health records in cardiology

Banerjee, A; (2017) Challenges for learning health systems in the NHS. Case study: electronic health records in cardiology. Future Healthcare Journal , 4 (3) pp. 193-197. 10.7861/futurehosp.4-3-193. Green open access

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Abstract

Electronic health records (EHRs) are at the centre of advances in health informatics, but also many other innovations in healthcare. However, there are still obstacles to implementation and realisation of the full potential of EHRs as there are with learning health systems (LHS). Cardiovascular disease, in the UK and globally, carries greater morbidity and mortality than any other disease. Therefore, planning and delivery of health services represent major costs to individuals and populations. Both the scale of disease burden and the growing role of technology in cardiology practice make analysis of experiences with EHRs in cardiology a useful lens through which to view achievements and gaps to date. In this article regarding LHS, EHRs in cardiology are used as a case study of LHS in the NHS.

Type: Article
Title: Challenges for learning health systems in the NHS. Case study: electronic health records in cardiology
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.7861/futurehosp.4-3-193
Publisher version: http://futurehospital.rcpjournal.org/content/4/3/1...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Cardiology, digital, electronic health record, informatics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
URI: https://discovery.ucl.ac.uk/id/eprint/10075858
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