Understanding Patient Data (UPD) and NHS England

(Published to the use MY data site on 2019-05-17)

Tender - Public engagement on partnership models involving NHS data

Understanding Patient Data (UPD) and NHS England are going to commission a new research to find out what people think and feel about different partnership models between the NHS and private companies wishing to use NHS data.

The hope is that this work will be a useful way to get a better grasp on what matters to people in practice and to provide guidance to help the NHS navigate this complex landscape. UPD and NHS England are launching the call for proposals now and aim to have the work completed and published openly over the summer.

For more details and to read the request for proposals, please visit here .

Produced by use MY data

Further details from contact@usemydata.org.uk

Please use the patient data citation:
"This work uses data provided by patients and collected by the NHS as part of their care and support"

The patient data citation was conceived and developed by the patients and carers in the use MY data patient movement. It has been widely adopted by data and research organisations, and recommended for adoption by the major research funders in the UK.

About use MY data

use MY data is a movement of patients, carers and relatives

use MY data supports and promotes the protection of individual choice, freedom and privacy in the sharing of healthcare data to improve patient treatments and outcomes.

use MY data endeavours to highlight the many benefits that appropriate usage of healthcare data can make, to save lives and improve care for all.

use MY data aims to educate and harness the patient voice to understand aspirations and concerns around the use of data in healthcare delivery, in service improvement and in research, aimed at improving patient decision making, treatment and experience.


Our vision

Our vision is of every patient willingly giving their data to help others, knowing that effective safeguards to maintain the confidentiality and anonymity of their data are applied consistently, transparently and rigorously.