The NHS has issued guidance on effective data partnerships, this blog summarises key terms for parties looking to collaborate on data driven projects with the NHS.
Continue Reading NHS Data Partnerships Guide – unlocking the benefits of data partnerships
NHSX recently published “A Buyer’s Checklist for AI in Health and Care” (Guidance) that sets out 10 key questions which will be of use to parties deploying AI solutions or conducting data driven projects (in a health and care setting or otherwise). For example, the Guidance highlights:
On February 27, 2020 NHSX, the technology and digital unit of the NHS, published its draft Digital Health Technology Standard (the “Standard”) for consultation to stakeholders in the digital health space (the “Consultation”). The Consultation is open until 22 April, 2020 (and is available here).
The Standard, which is based on existing industry and health standards, is intended to streamline how digital health technologies are reviewed and commissioned by the NHS and social care.Continue Reading NHSX Consults on Draft Digital Health Technology Standard
This is the 11th, and final, of our video posts on 10 questions that can help lawyers contribute to the digital health ideation process. Today’s video explores the question: Why involve a lawyer?
This is the eighth of our video posts on 10 questions that can help lawyers contribute to the digital health ideation process. Today’s video explores the question: what is novel in the digital health solution and what will give the solution a competitive advantage?
Designing data-driven products and services in compliance with privacy requirements can be a challenging process. Technological innovation enables novel uses of personal data, and companies designing new data-driven products must navigate new, untested, and sometimes unclear requirements of privacy laws, including the General Data Protection Regulation (GDPR). These challenges are often particularly acute for companies providing products and services leveraging artificial intelligence technologies, or operating with sensitive personal data, such as digital health products and services.
Recognising some of the above challenges, the Information Commissioner’s Office (ICO) has commenced a consultation on establishing a “regulatory sandbox”. The first stage is a survey to gather market views on how such a regulatory sandbox may work (Survey). Interested organisations have until 12 October to reply.
The key feature of the regulatory sandbox is to allow companies to test ideas, services and business models without risk of enforcement and in a manner that facilitates greater engagement between industry and the ICO as new products and services are being developed.
The regulatory sandbox model has been deployed in other areas, particularly in the financial services sector (see here), including by the Financial Conduct Authority in the UK (see here).
Potential benefits of the regulatory sandbox include reducing regulatory uncertainty, enabling more products to be brought to market, and reducing the time of doing so, while ensuring appropriate protections are in place (see the FCA’s report on its regulatory sandbox here for the impact it has had on the financial services sector, including lessons learned).
The ICO indicated earlier this year that it intends to launch the regulatory sandbox in 2019 and will focus on AI applications (see here).
Further details on the scope of the Survey are summarised below.Continue Reading ICO consults on privacy “regulatory sandbox”
On 5 September, in response to the opportunities presented by data-driven innovations, apps, clinician decision support tools, electronic health care records and advances in technology such as artificial intelligence, the UK Government published a draft “Initial code of conduct for data-driven health and care technology” (Code) for consultation. The Code is designed to be supplementary to the Data Ethics Framework, published by the Department for Digital, Culture, Media and Sport on 30 August, which guides appropriate data use in the public sector. The Code demonstrates a willingness of the UK Government to support data sharing to take advantage of new technologies to improve outcomes for patients and accelerate medical breakthroughs, while balancing key privacy principles enshrined in the GDPR and emerging issues such as the validation and monitoring of algorithm-based technologies. For parties considering data-driven digital health projects, the Code provides a framework to help conceptualise a commercial strategy before engaging with legal teams.
The Code contains:
each of which are listed further below.
While the full text of the Code will be of interest to all those operating in the digital health space, the following points are of particular note:
The Code provides sets out a number of factors consider before engaging with legal teams to help define a commercial strategy for data-driven digital health project. These factors include: considering the scope of the project, term, value, compliance obligations and responsibilities, IP, liability and risk allocation, transparency, management of potential bias in algorithms, the ability of the NHS to add value, and defining the respective roles of the parties (which will require thinking beyond traditional research collaboration models).
Considering how value is created and realised is a key aspect of any data-driven digital health project, the Code identifies a number of potential options: simple royalties, reduced payments for commercial products, equity shares in business, improved datasets – but there is also no simple of single answer. Members of Covington’s digital health group have advised on numerous data-driven collaborations in the healthcare sector. Covington recently advised UK healthcare technology company Sensyne Health plc on pioneering strategic research and data processing agreements with three NHS Trust partners. Financial returns generated by Sensyne Health are shared with its NHS Trust partners via equity ownership in Sensyne Health and a share of royalties (further details are available here).
The UK Government also intends to conduct a formal review of the regulatory framework and assessing the commercial models used in technology partnerships in order to address issues such as bias, transparency, liability and accountability.
The UK Government is currently consulting on the Code (a questionnaire on the Code is available here) and intends to publish a final version of the Code in December.Continue Reading UK Government publishes “Initial code of conduct for data-driven health and care technology” for consultation
On August 30, the UK government published a report by Professor Sir John Bell of Oxford University providing a number of recommendations to government to ensure the long term success of the life sciences sector in the UK (Life Sciences Industry Strategy). This blog post summarises the key recommendations and observations made from
Digital health solution providers, and users of digital health services, should take note of three recently launched EU public consultations in the digital health space, and may wish to make submissions to help shape the future of digital health initiatives in the EU. The earliest deadline for submissions is 16 August 2017.
The UK Information Commissioner’s Office (“ICO”), which enforces data protection legislation in the UK, has ruled that the NHS Royal Free Foundation Trust (“Royal Free”), which manages a London hospital, failed to comply with the UK Data Protection Act 1998 in providing 1.6 million patient records to Google DeepMind (“DeepMind”), requiring the Royal Free to sign an undertaking committing to changes to ensure it is acting in line with the UK Data Protection Act.
On September 30, 2015, the Royal Free entered into an agreement with Google UK Limited (an affiliate of DeepMind) under which DeepMind would process approximately 1.6 million partial patient records, containing identifiable information on persons who had presented for treatment in the previous five years together with data from the Royal Free’s existing electronic records system. On November 18, 2015, DeepMind began processing patient records for clinical safety testing of a newly-developed platform to monitor and detect acute kidney injury, formalized into a mobile app called ‘Streams’.
Continue Reading ICO Rules UK Hospital-DeepMind Trial Failed to Comply with UK Data Protection Law