Public Health at the Frontier of AI: Aligning UK Competition Policy with National Health and Innovation Goals

This paper examines the disruptive effect of AI in public health in the UK, refracting healthcare innovation, health equity, and competition policy. As AI tools are integrated into healthcare systems, they offer the potential for increased efficiency, predictive capacity, and better outcomes for patients. These developments also raise ethical and equity - related issues, such as algorithmic bias, the development of transparent models that can be used by underserved populations, cost, and availability. It also addresses the importance of the NHS to safeguard patient data whilst facilitating innovation and the need for strong regulatory frameworks to balance both the need to innovate with oversight. The article also reflects on the potential of more recent legislative developments, such as the Digital Markets, Competition, and Consumer Act 2024, to support fair competition in digital health. Overall, the paper calls for a policy environment that ensures AI - led innovations are opportunities for all, including those in vulnerable communities, and supports the UK?s health and innovation objectives.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-07-04
DOI
https://doi.org/10.21275/sr25627220306
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Public Health at the Frontier of AI: Aligning UK Competition Policy with National Health and Innovation Goals

Sumesh Narayan
International Journal of Science and Research (IJSR)
Health Systems, Economic Evaluations, Quality of Life
article

Public Health at the Frontier of AI: Aligning UK Competition Policy with National Health and Innovation Goals

Sumesh Narayan
article en

Abstract

This paper examines the disruptive effect of AI in public health in the UK, refracting healthcare innovation, health equity, and competition policy. As AI tools are integrated into healthcare systems, they offer the potential for increased efficiency, predictive capacity, and better outcomes for patients. These developments also raise ethical and equity - related issues, such as algorithmic bias, the development of transparent models that can be used by underserved populations, cost, and availability. It also addresses the importance of the NHS to safeguard patient data whilst facilitating innovation and the need for strong regulatory frameworks to balance both the need to innovate with oversight. The article also reflects on the potential of more recent legislative developments, such as the Digital Markets, Competition, and Consumer Act 2024, to support fair competition in digital health. Overall, the paper calls for a policy environment that ensures AI - led innovations are opportunities for all, including those in vulnerable communities, and supports the UK?s health and innovation objectives.

International Journal of Science and Research (IJSR)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Health Systems, Economic Evaluations, Quality of Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Public Health at the Frontier of AI: Aligning UK Competition Policy with National Health and Innovation Goals — Sumesh Narayan · International Journal of Science and Research (IJSR) (2025) | TGRS Research Map | TGRS