GENOMICS
Human phenotype ontology policy – a proposal for stewarding genomic health
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
MANUSCRIPT ONE CULTURE TECHNICAL
QUALITY 1
MANUSCRIPT TWO RESOURCE
PROCESS CONTROL HEALTH
MANUSCRIPT THREE HPO POLICY STEWARDSHIP
Cycle of Continuous Improvement in HPO
Safe Space
POPULATION HEALTH
MANAGEMENT NHSE
GENOMICS ECOSYSTEM
EXPERT OVERSIGHT
AISI AIRR
AIDRS HEMSS
STANDARD APPLICATION
HEMSS CLASSIFICATION
BIOLOGICLA MODELLING PRE-EXAMS [PREDICTIVE HEALTH] THE EXAMS
[PRECISE CARE INTERCEPTS] AI Security Institute AISI, AI Research Resource AIRR, Fig 1. Population Health Management, Higher Expert Medical Science Safety agile groups. 38 MAY 2025
WWW.PATHOLOGYINPRACTICE.COM
Higher Expert Medical Science Safety
AI Digital Regulation Service AIDRS and Higher Expert Medical Science Safety HEMSS
MANUSCRIPT SIX HEMSS
UK US AI MEMORANDUM HPO POLICY
Culture Intelligent Workflow Structure and Steps
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
DIGITAL REGULATION SERVICE CHILD HEALTH
PRIVACY ENHANCED TECHNOLOGY
PANGENOME REFERENCE
2
INTEGRATED REGIONS
AGILE GROUP
DEVELOPMENT
ANALYTICS SOLUTION
GENOMIC PHASES
BIOPHARMA CONSORTS
PLATFORM APPLICATION
3
COMMUNITY POINT OF NEED
HUMAN
PHENOTYPE ONTOLOGY
MANUSCRIPT FIVE FIT FOR PURPOSE PREDICT AND PRECISION
SAFETY ADULT HEALTH PARITY
Biological Models (BM) and digital twin lifecycles.
Introduction A real-world Population Health Management (PHM) mission, guided by a Human Phenotype Ontology (HPO) policy, theme scientific data and Artificial Intelligence (AI) technology
Genomic Medical Service Clinical Group
MANUSCRIPT FOUR NEWBORN GENOMES MULTIOMICS INTERCEPTS
© copyright James Henry
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