AI’s Transformative Role in Healthcare: Code of Conduct

By HEOR Staff Writer

April 18, 2024

AI's transformative role in healthcare

Introduction:

Artificial Intelligence (AI) has begun to play a transformative role in healthcare, promising to reshape the industry with improved outcomes and efficiency. The Leverhulme Centre for the Future of Intelligence’s launch event highlighted AI’s potential to be the most significant event in our civilisation, a sentiment echoed by Stephen Hawking. This article examines AI’s burgeoning impact on healthcare and addresses the balance between its benefits and risks.

The Rise of AI in Clinical Applications:

AI’s integration into healthcare is rapidly advancing. It is employed in disease detection, real-time outcome prediction, treatment personalisation, and administrative task streamlining. AI’s capacity to augment human decision-making in these areas is remarkable. For instance, AI models have significantly reduced the drug discovery timeline, a boon for pharmaceutical development.

Navigating the Risks of AI in Healthcare:

Despite the promise of AI, risks such as bias, privacy breaches, and workforce displacement loom large. The datasets and models AI relies on are human creations, subject to human error and prejudice. Recognising and addressing these risks is crucial to prevent exacerbating healthcare inequities and introducing new ones.

Frameworks for Responsible AI Use:

A multitude of frameworks have emerged to guide the responsible use of AI in healthcare. The Asilomar AI Principles, for example, set forth guidelines for AI development and usage. However, the rapid evolution of AI technologies, such as large language models, presents challenges to the practical application of these frameworks, highlighting the need for adaptive governance.

Towards a Harmonised AI Code of Conduct:

A proposed AI Code of Conduct aims to harmonise principles and commitments for stakeholders across the AI lifecycle. This framework builds on the core principles of a continuously learning health system (LHS) and reflects a consensus-driven approach to fostering responsible AI use in healthcare.

Conclusion:

AI offers an unprecedented opportunity to realise the vision of a learning health system. However, its application must be managed collectively and responsibly. The proposed AI Code of Conduct provides a foundation for stakeholder engagement and the co-creation of a future where AI-enabled health, healthcare, and biomedical science serve the well-being of all.

Reference url

Recent Posts

GBA-PD therapy development
Key Milestone in GBA-PD Therapy Development Achieved with ACTIVATE Study Completion

By João L. Carapinha

May 26, 2026

Bial announced the completion of the treatment period in its Phase 2b ACTIVATE study evaluating BIA 28-6156 (pariceract) in patients with Parkinson’s disease (PD) who carry a pathogenic mutation in the glucocerebrosidase 1 (GBA1) gene, referred to as GBA-PD. The 78-week double-blind treatment pha...
menstrual health monitoring
Innovative Insights into Menstrual Health Monitoring Through Wearable Technology
An analysis of 1.2 million days of data from 2,596 women across 42,759 menstrual cycles demonstrates that cycle length strongly influences the magnitude of fluctuations in cardiorespiratory biometrics, while shorter sleep durations correlate with greater cycle length deviation. Resting heart rate...
Perioperative Bladder Cancer Therapy
Advancements in Perioperative Bladder Cancer Therapy: A Promising New Regimen

By João L. Carapinha

May 25, 2026

The European Medicines Agency’s Committee for Medicinal Products for Human Use (CHMP) issued a positive opinion recommending approval of KEYTRUDA (pembrolizumab), including its subcutaneous formulation KEYTRUDA SC, combined with Padcev (enfortumab vedotin-ejfv) as neoadjuvant treatment followed b...