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Empowering quality data - the Gordian knot of bringing real innovation into healthcare system.
- Source :
-
Diagnosis (Berlin, Germany) [Diagnosis (Berl)] 2022 Dec 22; Vol. 10 (2), pp. 140-157. Date of Electronic Publication: 2022 Dec 22 (Print Publication: 2023). - Publication Year :
- 2022
-
Abstract
- Objectives: The introduction of Personalised Medicine (PM) into healthcare systems could benefit from a clearer understanding of the distinct national and regional frameworks around the world. Recent engagement by international regulators on maximising the use of real-world evidence (RWE) has highlighted the scope for improving the exploitation of the treasure-trove of health data that is currently largely neglected in many countries. The European Alliance for Personalised Medicine (EAPM) led an international study aimed at identifying the current status of conditions.<br />Methods: A literature review examined how far such frameworks exist, with a view to identifying conducive factors - and crucial gaps. This extensive review of key factors across 22 countries and 5 regions revealed a wide variety of attitudes, approaches, provisions and conditions, and permitted the construction of a comprehensive overview of the current status of PM. Based on seven key pillars identified from the literature review and expert panels, the data was quantified, and on the basis of further analysis, an index was developed to allow comparison country by country and region by region.<br />Results: The results show that United States of America is leading according to overall outcome whereas Kenya scored the least in the overall outcome.<br />Conclusions: Still, common approaches exist that could help accelerate take-up of opportunities even in the less prosperous parts of the world.<br /> (© 2022 Walter de Gruyter GmbH, Berlin/Boston.)
- Subjects :
- Humans
United States
Power, Psychological
Delivery of Health Care methods
Medicine
Subjects
Details
- Language :
- English
- ISSN :
- 2194-802X
- Volume :
- 10
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Diagnosis (Berlin, Germany)
- Publication Type :
- Academic Journal
- Accession number :
- 36548810
- Full Text :
- https://doi.org/10.1515/dx-2022-0115