GENOMICS
10-Year Health Plan: human phenotype ontology transformation
James Henry continues his series on the population health management of human phenotype ontology, examining how the concept can aid the implementation of the recently published NHS 10 Year Plan.
This article presents a comprehensive 10-year plan for the population health management (PHM) of human phenotype ontology (HPO), positioning it as a blueprint for operationalising the UK’s Fit for the future: 10 Year Health Plan for England.1
Addressing
the national need for preventive, personalised, and efficient healthcare, it details how a robust
ecosystem, integrated with advanced AI and genomic insights, provides a mechanism for health transformation.
The article outlines strategies for
proactive, predictive and diagnostic genomic pre-eXams, precision medicine delivery eXams, and essential standardisation with ethical governance. By presenting a detailed roadmap
AIMS
Robust structure Agile development Seamless monitoring
Micro Omics
In a Standard Approach
Box A Traditional Diagnostics Lab, Point of care, physiology, image
Upstream Intelligence
Stream and Learn Box C
The PHM of HPO PIMARY CARE
POPULATION HEALTH MANAGEMENT
HPO POLICY TRANSFORMATION AS THE PRIMARY CARE
GENOME PRE-EXAM AND EXAM INTERCEPTS
CLASSIFICATIONS [SECTION B]
VOLUNTARY: HIMSS DEVELOPMENT Healthcare Information and Management System Society
STEWARDSHIP: HEMSS ADOPTION Higher Expert Medical Science Safety [HEMSS]
Fig 1. Population health management, the HPO transformation from traditional diagnostics.
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and emphasising rigorous adherence to international standards, Healthcare Informatic Management System Society (HIMSS) levels and Higher Expert Medical Science Safety (HEMSS) principles, this work demonstrates how HPO may be stewarded as the foundational scientific language and technological enabler to achieve the national health strategy, cultivating a healthier, more equitable future.
This article compliments NHS England Genomics and builds on the second of six manuscripts for national PHM through partnerships.3
The ‘PHM –
HPO Transformation’ manuscript is accepted for publication in the Frontiers Journal of AI in Medicine and Public Health, whilst this article is the third featured in Pathology in Practice.2
AIMS
Biological risk stratification Evaluate HPO disease & Action PHM Stewardship
Macro
Environment DHSC, DSIT AIRR, AISI AIDRS
Box B = Digital Genomics Ontology Predictive Pre-eXams Biopharma Precision eXams
Workspace Insight
© copyright James Henry
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