Stephen Bradley and colleagues call for action to ensure equitable returns for patients and taxpayers when public healthcare data are shared for commercial research
This is a republication of the paper “Healthcare systems must get fair value for their data”, with the title above.
BMJ
Stephen H Bradley, 1 Scott Hemphill, 2
Sarah Markham, 3 Shivan Sivakumar 4
June 27, 2022, nissatec
Executive Summary by:
Joaquim Cardoso MSc.
Health Revolution Institute
Data Health Unit
June 28, 2022
Key messages
- Data from healthcare systems hold value for improving healthcare delivery and in the development of commercially successful products through private sector collaborations. The indicative market value of the data held by England’s NHS has been estimated at £5bn if it were to be sold for commercial purposes.
- As well safeguarding privacy, data sharing agreements must ensure fair benefit for health systems and the public
- Lack of commercial expertise and transparency risks health systems being disadvantaged in agreements. Although ethics committees examine the privacy implications of research using patient data, they do not generally consider protecting the value of data; nor are such committees well equipped to do so.
- Health systems and governments must establish terms for sharing data informed by extensive public, professional, and expert consultation
- Central scrutiny bodies, such as the National Audit Office in the UK or the Government Accountability Office in the US could be responsible for ensuring adequate value is returned to the public realm through commercial partnerships.
- Failure to invest the time and resources in adequate public and professional consultation to create a robust foundation for private-public collaboration using health data is likely to lead to greater cost and delay to innovation in the long term.
Health systems and governments must establish terms for sharing data informed by extensive public, professional, and expert consultation
ORIGINAL PUBLICATION (full version)
Healthcare systems must get fair value for their data
BMJ
Stephen H Bradley, 1 Scott Hemphill, 2
Sarah Markham, 3 Shivan Sivakumar 4
June 27, 2022
The threats to patient privacy from sharing data have been well publicised.
By comparison, the risks of healthcare systems missing out on the gains generated from healthcare data have been largely overlooked.
As well as potential benefits from improved treatment or diagnosis, research using patient data can bring financial rewards-for example, by selling artificial intelligence (AI) products the data are used to develop.
The indicative market value of the data held by England’s NHS has been estimated at £5bn if it were to be sold for commercial purposes. 1
The indicative market value of the data held by England’s NHS has been estimated at £5bn if it were to be sold for commercial purposes. 1
For cash strapped healthcare systems, stewardship of vast reserves of data presents opportunities for innovative collaborations with industry.
However, they are not well placed to ensure fair returns.
Although ethics committees examine the privacy implications of research using patient data, they do not generally consider protecting the value of data; nor are such committees well equipped to do so.
Mechanisms need to be instituted to share revenues and access to new technologies that arise from private sector collaborations.
Although ethics committees examine the privacy implications of research using patient data, they do not generally consider protecting the value of data; nor are such committees well equipped to do so.
Government policy on collaborations
The UK government’s strategy for the life sciences sector highlights the potential for the NHS to embark on partnerships with the business sector. 23
Launched five years ago as a cornerstone of the government’s long term economic programme, implementation of the strategy has fallen short of its ambitions, with data sharing processes remaining inconsistent and unclear. 4
In England, a recent review into use of healthcare data for research commissioned by the secretary of state for health and social care (the Goldacre review) called for these processes to be streamlined and clarified. 5
The report also advocates the creation of platforms through which healthcare data may be accessed and analysed.
Such “trusted research environments” would ensure greater control over data by rationalising and regulating the types of information being accessed and preventing wholesale transfers of data.
The report acknowledges that although trusted research environments can resolve privacy concerns, “there is a need for a frank public discussion about commercial use of NHS data.”
In England, a recent review into use of healthcare data for research commissioned by the secretary of state for health and social care (the Goldacre review) called for these processes to be streamlined and clarified.
The report acknowledges that although trusted research environments can resolve privacy concerns, “there is a need for a frank public discussion about commercial use of NHS data.”
Controversial collaborations
Several high profile transactions involving patient data have shown the need for accountability and transparency in terms of both the data shared and the value of what is received in return for patients and health systems.
A collaboration between DeepMind (a subsidiary of Alphabet, owners of Google) and the Royal Free NHS Foundation Trust used patient data to create an app to identify acute kidney injury. 6
The project entailed sharing a wide range of healthcare data on 1.6 million patients and was subsequently deemed to have proceeded without an appropriate legal basis. 78
A memorandum of understanding between both organisations set out the aspiration to establish a “broad ranging” partnership through which the trust would receive, besides bespoke software, “reputational gain” and a “place at the vanguard of developments in … one of the most promising technologies in healthcare.” 8
As DeepMind is an AI company and the app simply implemented an existing NHS algorithm, concern has been expressed that the company’s motivation may have been to acquire data for machine learning research. 89
Another DeepMind-NHS collaboration has used AI to predict progression to wet age-related macular degeneration through interpretation of optical coherence tomography scans-an application with substantial promise in establishing more consistent and efficient triage of patients in busy eye clinics. 10 11 12
DeepMind has made its AI model available to its NHS collaborator, Moorfield’s Eye Hospital, but has not disclosed whether this access is time limited or under what terms it will offer this software to other NHS organisations or healthcare systems. 11
Controversial collaborations are not confined to individual trusts.
NHS England agreed a contract with Amazon that offered the tech giant access to “all healthcare information” aside from patient records, apparently with nothing in return for the health service. 13
Meanwhile, in the United States a partnership with the hospital chain Ascension that gave Google access to the detailed health data of millions of patients without their knowledge in return for data storage and software tools 14 has been investigated by the Department of Health and Human Services’ Office for Civil Rights. 15
It is striking that in these cases the data sharing arrangements came to light only after investigations by journalists.
The resulting discussion has tended to be framed in terms of consequences for patient confidentiality, chiming with a critique of a business model that relies on extracting, combining, and commodifying personal data, something that has been described as surveillance capitalism. 16 17
The protections on healthcare data are more stringent than those for data which consumers have notionally consented to share.
Nevertheless, even if these protections are followed, the lack of recourse to scrutinise the terms of data transactions, or even to discover that such agreements exist is troubling. 6 18 19
The repeated attempts to institute routine sharing of English primary care data at scale show that it is not enough simply to demonstrate that such plans are not illegal. 20 21
Public and professional acceptance requires that any use of data for means other than that originally intended must be in service of the public good without disproportionately benefiting other interests. 22
Obstacles to protecting value of healthcare data
Polling and qualitative research indicates broad support for sharing patient data with commercial partners provided that it delivers demonstrable public benefit and does not disproportionately reward private interests. 24
But defining what constitutes sufficient public benefit is challenging, and it will vary from case to case.
However, we contend that satisfying this test requires more than the development of proprietary technology that could be used to improve patient care.
When technology has been developed using patient data or co-produced using health system resources, the resulting value should be returned through proportionate mechanisms such as cost-free access to the technology or a revenue share for the health service ( table 1).
Table 1 | Models of value sharing between health systems and private sector. Adapted from Ghafur et al 27
How should the value of data be protected?
The issue of safeguarding the value of healthcare data therefore resonates with wider concerns about profit from public assets being diverted to private interests.
The nascent status of technologies such as AI presents an opportunity to formulate regulations and norms to protect value.
But these issues are particularly complex with respect to healthcare data, not least because multiple organisations and individuals may be said to have contributed to its creation and curation. 36
We also currently lack frameworks to determine acceptable remuneration in cash, in kind (eg, access to products), or percentage stake in any resulting profits, that should be returned to health systems.
Formulating how health systems should share rewards resulting from collaborations using patient data is therefore far from straightforward.
Innovations that have been created entirely independently and are simply validated in a healthcare setting could be judged to be analogous to devices or drugs, with the manufacturer retaining the prerogative to negotiate on pricing without reference to the contributions made by the health service in validating the technology.
But, when health systems contribute substantial resources to evaluating new technologies, such as with the NHS Grail study which aims to detect cancer in asymptomatic patients using a novel blood test, 37 or when AI algorithms are validated or improved based on performance, there may be a rational claim to some form of reimbursement.
While most ventures using healthcare data will never prove profitable, there should not be a presumption that it is acceptable to harvest patient data for any innovation that might be commercially or clinically successful.
Nor should healthcare systems be expected to underwrite the costs and risks of collaboration in the name of innovation.
But there is a strong case that healthcare services and the public research institutes should share the benefit from any collaborations that do generate revenues because they will also bear the costs of efforts that are unsuccessful.38
This might be achieved through arrangements such as healthcare systems, or the state, taking an equity share in collaborative ventures.27 38
Alternative means of sharing value more directly with patients who contribute data, rather than healthcare systems or the state, have been envisaged, including royalty payments to individual patients and creation of independent community development funds for relevant populations.16 39 40
As the Goldacre review highlighted, adequate consultation on these issues by governments and health systems is overdue.5
Creation of frameworks to guide expectations of value sharing requires expertise and perspectives of ethicists, intellectual property specialists and healthcare technology specialists, industry representatives, healthcare staff, patients, and the public.
Such consultations could include public deliberative procedures such as citizen’s assemblies. Box 1 lists some questions that could be considered.
Experience, as well as numerous reports and consultations, have emphasised that giving the public a say in how people’s data are used is crucial to establishing and maintaining trust, which is essential for fruitful collaboration.52541
Failure to invest the time and resources in adequate public and professional consultation to create a robust foundation for private-public collaboration using health data is likely to lead to greater cost and delay to innovation in the long term.
Failure to invest the time and resources in adequate public and professional consultation to create a robust foundation for private-public collaboration using health data is likely to lead to greater cost and delay to innovation in the long term.
Box 1: Questions to address on collaborations using healthcare data
- What safeguards are necessary to fund costs for health services from collaborations, such as preparing data, to ensure resources are not diverted from delivering patient care?
- For the minority of ventures that return revenues, should these be returned to local health service organisations, to the central health service, or to the nation’s treasury?
- What kinds of partnership models are suitable for small and medium sized commercial partners versus those that are appropriate for larger companies?
- Should preferential terms apply for domestic companies, as opposed to overseas firms, as a means to foster wider benefits to society and the economy, such as employment and taxation?
- Should organisations which act as subcontractors to health services, such as general practices in the UK, be permitted to negotiate value sharing collaborations independently?
Healthcare systems need to invest in staff with expertise in negotiating intellectual property agreements to support those working for healthcare services who wish to use data in pursuit of innovation.
Such agreements should be made publicly available.
When centralised expertise is available to support health systems to collaborate with industry, organisations within those systems should be incentivised, or possibly even required, to accept that support, rather than striking deals on their own. 42
Central scrutiny bodies, such as the National Audit Office in the UK or the Government Accountability Office in the US could be responsible for ensuring adequate value is returned to the public realm through commercial partnerships.
Central scrutiny bodies, such as the National Audit Office in the UK or the Government Accountability Office in the US could be responsible for ensuring adequate value is returned to the public realm through commercial partnerships.
Collaborations based around applying technologies such as AI to healthcare data promise to unlock new discoveries with both commercial and clinical value.
But the public has a vital stake in determining how the value that results from such products is distributed and whether it is reasonable for such collaborations to proceed at all.
Neglecting these legal and ethical frontiers in pursuit of innovation risks ceding valuable assets to private interests and could prove a costly legacy for patients and taxpayers.
Neglecting these legal and ethical frontiers in pursuit of innovation risks ceding valuable assets to private interests and could prove a costly legacy for patients and taxpayers.
Acknowledgments
We thank Saira Ghafur and Jessica Butler for feedback.
References and additional information
See the original publication
Originally published at https://www.bmj.com on June 27, 2022.
About the authors & affiliations:
Stephen H Bradley, 1
Scott Hemphill, 2
Sarah Markham, 3
Shivan Sivakumar4
1 Leeds Institute of Health Sciences,
University of Leeds, Leeds, UK
2 Sir Charles Gairdner Hospital, Perth, Australia
3 Visiting Researcher, Department of Biostatistics and Health Informatics, King’s College London, London, UK
4 Department of Oncology,
University of Oxford, Oxford, UK
Citation
Bradley S H, Hemphill S, Markham S, Sivakumar S. Healthcare systems must get fair value for their data BMJ 2022; 377 :e070876 doi:10.1136/bmj-2022–070876
