Learning health systems need to bridge the ‘two cultures’ of clinical informatics and data science

Background UK health research policy and plans for population health management are predicated upon transformative knowledge discovery from operational "Big Data". Learning health systems require not only data, but feedback loops of knowledge into changed practice. This depends on knowledg...

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Vydáno v:BMJ health & care informatics Ročník 25; číslo 2; s. 126 - 131
Hlavní autoři: Scott, Philip J., Dunscombe, Rachel, Evans, David, Mukherjee, Mome, Wyatt, Jeremy C.
Médium: Journal Article
Jazyk:angličtina
Vydáno: England BMJ Publishing Group LTD 15.06.2018
BCS, The Chartered Institute for IT
Témata:
Asthma
Big Data
Bioinformatics
biomedical informatics
Collaboration
Data science
education
Ethics
evidence-based practice
Health informatics
health policy
Interdisciplinary aspects
Knowledge management
learning health systems
Patients
Primary care
programme evaluation
Science
Systems design
Trends
Usability
United Kingdom > UK
biomedical informatics
evidence-based practice
education
health policy
bioinformatics
Big Data
health informatics
learning health systems
programme evaluation
ISSN:2632-1009, 2058-4563, 2058-4555, 2632-1009, 2058-4563
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Shrnutí:Background UK health research policy and plans for population health management are predicated upon transformative knowledge discovery from operational "Big Data". Learning health systems require not only data, but feedback loops of knowledge into changed practice. This depends on knowledge management and application, which in turn depend upon effective system design and implementation. Biomedical informatics is the interdisciplinary field at the intersection of health science, social science and information science and technology that spans this entire scope. Issues In the UK, the separate worlds of health data science (bioinformatics, "Big Data") and effective healthcare system design and implementation (clinical informatics, "Digital Health") have operated as 'two cultures'. Much NHS and social care data is of unusably poor quality. Substantial research funding is wasted on 'data cleansing' or by producing very weak evidence. There is not yet a sufficiently powerful professional community or evidence base of best practice to influence the practitioner community or the digital health industry. Recommendation The UK needs increased clinical informatics research and education capacity and capability at much greater scale and ambition to be able to meet policy expectations, address the fundamental gaps in the discipline's evidence base and mitigate the absence of regulation.Independent evaluation of digital health interventions should be the norm, not the exception. Conclusions  Policy makers and research funders need to acknowledge the existing gap between the 'two cultures' and recognise that the full social and economic benefits of digital health and data science can only be realised by accepting the interdisciplinary nature of biomedical informatics and supporting a significant expansion of clinical informatics capacity and capability.
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ISSN:2632-1009
2058-4563
2058-4555
2632-1009
2058-4563
DOI:10.14236/jhi.v25i2.1062