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Sensyne Health welcomes government code of conduct

6th Sep 2018 13:19

RNS Number : 0226A
Sensyne Health PLC
06 September 2018
 

 

 

 

 

PRESS RELEASE

 

Sensyne Health plc

 

Sensyne Health welcomes and commits to new government codeof conduct for data-driven health and care technologies

 

Oxford, UK; 6th September 2018: Sensyne Health plc (LSE: SENS) (the "Company"), the British clinical AI technology company, today welcomes and signs up to the Department of Health and Social Care's (DHSC) new code of conduct for data-driven health and care technologies as announced on the 5th September by Health Minister Lord O'Shaughnessy in a speech at the NHS Health and Care Innovation Expo conference.

 

Sensyne Health has made a series of recent announcements regarding its unique collaboration with three NHS trusts which enables the Company to analyse anonymised patient data using its Clinical AI technologies in order to accelerate the discovery and development of new medicines and improve patient care. This new code of conduct mirrors the principles of the Company. Sensyne Health is pleased to be able to sign up to the initial code and welcomes the opportunity to co-design the final version with the DHSC, due to be issued later this year.

 

Lord (Paul) Drayson, CEO of Sensyne Health, commented: "The introduction of this code is an important step by the government in ensuring that all companies wishing to analyse NHS patient data do so ethically, transparently and for patient benefit. We are happy to sign up to this new code and welcome its introduction by the government."

 

-ENDS-

 

Note to editors:

 

The 10 headline principles of the initial code of conduct for data-driven technologies are:

 

1. Define the user

2. Define the value proposition

3. Be fair, transparent and accountable about what data you are using

4. Use data that is proportionate to the identified user need (data minimisation principle of GDPR)

5. Make use of open standards

6. Be transparent to the limitations of the data used and algorithms deployed

7. Make security integral to the design

8. Define the commercial strategy

9. Show evidence of effectiveness for the intended use

10. Show what type of algorithm you are building, the evidence base for choosing that algorithm, how you plan to monitor its performance on an ongoing basis and how you are validating performance of the algorithm.

 

 

 

For more information please contact:

 

Sensyne Health plc

Laura Steward

T: +44 (0) 330 058 1845 | M: +44 (0)7899 061975

E: [email protected]

 

Consilium Strategic Communications

Mary-Jane Elliott, Sukaina Virji, Melissa Gardiner

+44 20 3709 5700

[email protected]

www.consilium-comms.com

 

 

Notes for editors:

 

About Sensyne Health

Sensyne Health plc is a healthcare technology company that creates value from accelerating the discovery and development of new medicines and improving patient care through the analysis of real-world evidence from large databases of anonymised patient data in collaboration with NHS Trusts. These anonymised patient data are ethically sourced in that any analysis of anonymised patient data (and hence the Company's access to it) must be pre-approved for each programme on a case-by-case basis by the relevant NHS Trusts. This is to ensure that the purpose of the anonymisation and the proposed analysis are subject to appropriate ethical oversight and information governance, including conformance with NHS principles and code of conduct , UK data protection law and applicable regulatory guidance.

 

Sensyne Health is listed on the Alternative Investment Market of the London Stock Exchange (SENS.L) and is based in the Big Data Institute at the University of Oxford's Old Road Campus. 

For more information, please visit: www.sensynehealth.com

 

 

This information is provided by RNS, the news service of the London Stock Exchange. RNS is approved by the Financial Conduct Authority to act as a Primary Information Provider in the United Kingdom. Terms and conditions relating to the use and distribution of this information may apply. For further information, please contact [email protected] or visit www.rns.com.
 
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