REFORM: a data-driven approach to cancer care

(Published to the use MY data site on 2019-06-07)

This Reformer Thoughts series brings together healthcare experts to discuss the potential of a data-driven approach to cancer care

Reformer Thoughts brings together the opinions of leading experts from academia,business and government; frontline practitioners and public service users, to provide readers with valuable insight into the challenges shaping the policy debate. The series aims to give a platform to innovative ideas and facilitate an open and informed conversation about how we can improve public services.

The article shows how data are currently shaping the delivery of cancer care, how to gain the most from data that are currently available and how to maximise the potential of this data in the future.

The Reformer Thoughts was supported by AbbVie UK.

Produced by use MY data

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"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.


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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.