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Previously submitted to: JMIR Medical Informatics (no longer under consideration since Apr 16, 2021)

Date Submitted: Jan 5, 2021

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Future ready real world data for healthcare optimisation and evidence-based decision making

  • Christina Donatti; 
  • Rebecca Meisberger; 
  • Vitaly Doban; 
  • Afroditi Avgerinou; 
  • James Anderson; 
  • Mats Rosenlund

ABSTRACT

The life science industry is facing increasing pressure to demonstrate value of its innovations beyond product safety and efficacy studied in traditional clinical trials, which is hampered by limited access to readily available, well-characterised patient data generated during routine clinical care. The purpose of this paper is to describe how future structure, content, and availability of healthcare data can improve patient access to new therapeutics and industry’s possible role in overcoming the challenges around data characterisation, governance and transparency in order to fully leverage the value of real world evidence (RWE) for patients, doctors, health systems and other stakeholders.


 Citation

Please cite as:

Donatti C, Meisberger R, Doban V, Avgerinou A, Anderson J, Rosenlund M

Future ready real world data for healthcare optimisation and evidence-based decision making

JMIR Preprints. 05/01/2021:26321

DOI: 10.2196/preprints.26321

URL: https://preprints.jmir.org/preprint/26321

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