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Conference object . 2023
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B1MG ESHG 2023 poster - A Maturity Level Model (MLM) for the self assessment of genomic medicine practices in healthcare systems

Authors: Cardoso, Maria Luís; Lopes, Fátima; Costa, Alexandra; Santos, Osvaldo; Konopko, Melissa; Merchant, Arshiya; Thorogood, Adrian; +34 Authors

B1MG ESHG 2023 poster - A Maturity Level Model (MLM) for the self assessment of genomic medicine practices in healthcare systems

Abstract

Genomic medicine implementation in healthcare systems can bring us one step closer to making personalised medicine a reality with major socioeconomic benefits Citizens and patients can nowadays widely benefit from genomic data analysis for accurate and timely diagnosis, effective treatments with less adverse events, and accurate profiling for disease prevention Implementation of genomics in healthcare is complex, and requires adjustments in the governance, structure and organization of health services, as well as dedicated investments Implementation is also dependent on the country context In the context of the 1 +Million Genomes 1 + initiative, we developed a Maturity Level Model ( for health systems to self evaluate the maturity of their genomic medicine practices, and define a path to optimization a MLM is tool for healthcare systems to self evaluate the level of maturity of their genomic medicine practices according to a common matrix,and to define a path to optimization A MLM pilot in eight European countries provided important information regarding common strengths, weaknesses and asymmetries across Europe

Keywords

MLM, B1MG, 1+ Million Genomes Initiative, Beyond 1 Milion Genomes, 1+MG, Maturity Level Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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