Drawing on WHO initiatives, the United Nations’ interest in artificial intelligence (AI) for healthcare underscores the need for efficient approval of ecosystem classifications. This Scientific Policy Brief – the first in a series of articles from James Henry – proposes ecosystems applicable to the UN, UK, and US for commissioning standardised classifiers for genomic predictive health, aiming for global collaboration and equitable wellbeing.
This Human Phenotype Ontology (HPO) policy contributes to global health and socio-economic success, aligning with the United Nations’ (UN) Sustainable Development Goals (SDGs) 3, 8, and 17. An integrated care ecosystem is proposed, aligning the Digital Regulation Service (AIDRS), evaluations by the AI Security Institute (AISI), and the AI Research Resource (AIRR) for advanced analytics.
This HPO policy stewards the safe, secure, fair, and transparent development of these predictors and intercepts. Higher Expert Medical Science Safety (HEMSS) principles will enhance Healthcare Informatics and Management System Society (HIMSS) maturity levels for public trust in Biological Models (BM) and digital twin lifecycles.
Introduction
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