GENOMICS


C H A L L E N G E


Healthcare System Model Trilogy [Workflow, Ontology and Hospital]


Predictive behaviour or health


Clinical or Economic significance


Root Cause Analysis


Proscript Adversity V A L U E I N H E A L T H M A N A G E M E N T Fig 5. Workflow value.


The author supports the Genomic AI network in adopting routine benchmarks for personalised classifications through the Security Institute (AISI), Research Resources (AIRR) and Digital Regulation Service (AIDRS).28-30


Note: Developed


over a decade, this programme proposal was designed to culture and steward an ecosystem from original works that now accelerate wellbeing via quantum computing31,32


federated learning,33,34 advanced GenAI classification.35,36 Our


future health will doctor and authorise genomic predictive health pre-eXams with precise care eXam classifiers for excellence and sharing of good public health while mitigating patient safety events.6-10,37


References 1 Naskar S, Sharma S, Kuotsu K, et al.


The biomedical applications of artificial intelligence: an overview of decades of research. J Drug Target. 2025;33(5):717- 748. doi:10.1080/1061186X.2024.2448711


2 Goth Itoi N. How Culture Shapes What People Want from AI. (Stanford HAI, 2024) https://hai.stanford.edu/news/how-culture- shapes-what-people-want-ai


3 Putman TE, Schaper K, Matentzoglu N, et al. The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species. Nucleic Acids Res. 2024;52(D1):D938-D949. doi:10.1093/nar/gkad1082


4 UN Department of Economic and Social Affairs. Goal 3: Ensure Healthy Lives and Promote well-being for All at All Ages. (United Nations, 2023) https://sdgs.


un.org/goals/goal3


5 Henry JA. Culture intelligent workflow, structure, and steps. Front Artif Intell. 2023;6:985469. doi:10.3389/ frai.2023.985469


6 Henry JA. Population Health Management Human Phenotype Ontology Transformation. (Front Artif Intell, 2025) doi:10.3389/frai.2025.1496935


and


7 Henry JA. Population Health Management Fit Lifecycles in Analytics. (Front Artif Intell, 2025) doi:10.3389/frai.2025.1496945


8 Henry JA. Population Health Management Genomic New-Born Screens and Multi- Omics Intercepts. (Front Artif Intell, 2024) doi:10.3389/frai.2024.1496942


9 Henry JA. Global Reform Population Health Management Higher Expert Medical Science Safety (Front Artif Intell, 2025) doi:10.3389/frai.2025.1496948


10 Henry JA. Population Health Management Human Phenotype Ontology Policy for Ecosystem Improvement. (Front Artif Intell, 2025) doi:10.3389/frai.2025.1496937


11 Ma A, O’Shea R, Wedd L, Wong C, Jamieson RV, Rankin N. What is the power of a genomic multidisciplinary team approach? A systematic review of implementation and sustainability. Eur J Hum Genet. 2024;32(4):381-391. doi:10.1038/s41431-024-01555-5


12 UK Research and Innovation. AIRR Expression of Interest to use UK large scale compute. (UKRI, 2025) https://engagementhub.ukri.org/ukri- infrastructure/airr-eoi/


13 Yu Y. Personalized Care with GenAI- powered risk stratification benefits the care


WWW.PATHOLOGYINPRACTICE.COM JUNE 2025


delivery model. (MedTech Intelligence, 2024) https://medtechintelligence.com/ feature_article/personalized-care-with- genai-powered-risk-stratification-benefits- the-care-delivery-model/


14 NHS AI and Digital Regulations Service. Understanding regulations of AI and digital technology in health and social care. (NHS, 2024) www.digitalregulations.innovation. nhs.uk/


15 Price II WN. Black-Box Medicine (Harvard Journal of Law & Technology, 2015) https://ssrn.com/abstract=2499885


16 Sadeghi Z, Alizadehsani R, Akif M, et al. A review of Explainable Artificial Intelligence in healthcare. Computers and Electrical Engineering. 2024;118:109370. doi:10.1016/j.compeleceng.2024.109370


17 FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare. BMJ. 2025;388:r340. doi:10.1136/bmj.r340


18 Department for Science, Innovation and Technology. Independent report: AI Opportunities Action Plan. (GOV.UK, 2025) https://www.gov.uk/government/ publications/ai-opportunities-action-plan/ ai-opportunities-action-plan#lay-the- foundations


19 Lewis T, Wood M, Myers M. Pathology GIRFT Programme National Specialty Report. (GIRFT, NHS England, 2021) https://www.rcpath.org/ uploads/assets/171f0ed0-ec20-4c93- b399d8518ee55641/Pathology-GIRFT- Programme-National-Specialty-Report- Sept-2021.pdf


20 The Royal College of Pathologists. A new 29


Descriptive Post adversity


Proscriptive rule-base bias


Adopt AI laboratories for genomic integration and safety management systems


Limited by the unactionable


Algorithm Surrogate


Precision healthcare


Prescriptive socioecnomics


Assurance


© copyright James Henry


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