BSI publishes guidance to boost trust in AI for healthcare

The British Standards Institution (BSI) has released a comprehensive guidance document titled “Validation framework for the use of AI within healthcare – Specification (BS 30440)” in an effort to promote greater digital trust in AI products used for medical diagnoses and treatment. The main objective of this standard is to enhance confidence among healthcare professionals and providers regarding the safe, effective, and ethical development of AI tools in the medical field.

The guidance specifically targets AI products designed for healthcare interventions, diagnoses, and health condition management. It aims to address the growing global debate on the appropriate use of AI in healthcare, especially as the healthcare AI market is projected to exceed $187.95 billion by 2030.

Jeanne Greathouse, the Global Healthcare Director at BSI, emphasizes the transformative potential of AI in healthcare, enabling clinicians and healthcare providers to make informed diagnostic decisions and ultimately improve patients’ quality of life.

The BS 30440 specification provides a set of criteria for evaluating healthcare AI products, encompassing aspects such as clinical benefit, performance standards, safe integration into clinical environments, ethical considerations, and equitable social outcomes. This framework covers various AI-driven healthcare products, including regulated medical devices, imaging software, patient-facing AI-powered chatbots, and home monitoring devices.

A panel of experts, including clinicians, software engineers, AI specialists, ethicists, and healthcare leaders, collaborated in the development of this specification. By drawing from existing literature and best practices, they translated complex functionality assessments into an auditable framework for AI system conformity.

Healthcare organizations can mandate BS 30440 certification in their procurement processes to ensure adherence to these recognized standards. Scott Steedman, the Director General for Standards at BSI, highlights that the new guidance can foster digital trust in cutting-edge AI tools, benefiting both patients and healthcare professionals. The specification addresses the need for an agreed validation framework for AI development and clinical evaluation in healthcare and has undergone piloting and revision in collaboration with stakeholders in the AI and machine learning fields.

With the publication of this guidance, BSI aims to instill confidence in AI products used in healthcare, enabling doctors, healthcare leaders, and patients to make informed and ethical choices for improved patient care and societal benefit.

Posted in

Aihub Team

Leave a Comment





Sharing chemical knowledge between human and machine

Sharing chemical knowledge between human and machine

Scientists solve mystery of why thousands of octopus migrate to deep-sea thermal springs

Scientists solve mystery of why thousands of octopus migrate to deep-sea thermal springs

Planning algorithm enables high-performance flight

Planning algorithm enables high-performance flight

AI and the Future of Work: AI's impact on jobs and workforce transformation.

AI and the Future of Work: AI’s impact on jobs and workforce transformation.

AI for Disaster Relief Distribution: AI-optimized logistics for efficient disaster relief supply distribution.

AI for Disaster Relief Distribution: AI-optimized logistics for efficient disaster relief supply distribution.

AI for Food Quality Assurance: AI applications for monitoring food quality and safety.

AI for Food Quality Assurance: AI applications for monitoring food quality and safety.

AI for Mental Wellness Apps: AI-driven mental health applications and support platforms.

AI for Mental Wellness Apps: AI-driven mental health applications and support platforms.

AI in Dental Care: AI-assisted diagnostics and treatment planning in dentistry.

AI in Dental Care: AI-assisted diagnostics and treatment planning in dentistry.

AI in Language Education: AI-based language learning platforms and tools.

AI in Language Education: AI-based language learning platforms and tools.

AI in Oil Spill Cleanup: AI-driven approaches to manage and clean oil spills.

AI in Oil Spill Cleanup: AI-driven approaches to manage and clean oil spills.

AI in Sports Coaching: AI-powered coaching tools for athletes and teams.

AI in Sports Coaching: AI-powered coaching tools for athletes and teams.

AI unlikely to destroy most jobs, but clerical workers at risk, ILO says

AI unlikely to destroy most jobs, but clerical workers at risk, ILO says

Building new skills for existing employees top talent issue amid gen AI boom: Report

Building new skills for existing employees top talent issue amid gen AI boom: Report

Decoding future-ready talent strategies in the age of AI - ETHRWorldSEA

Decoding future-ready talent strategies in the age of AI – ETHRWorldSEA

Generative AI likely to augment rather than destroy jobs

Generative AI likely to augment rather than destroy jobs

Latest UN study finds artificial intelligence will surely take over these jobs soon: Report

Latest UN study finds artificial intelligence will surely take over these jobs soon: Report

Singapore workers are the world’s fastest in adopting AI skills, LinkedIn report says

Singapore workers are the world’s fastest in adopting AI skills, LinkedIn report says

AI and Gene Editing: AI's potential role in CRISPR gene editing technologies.

AI and Gene Editing: AI’s potential role in CRISPR gene editing technologies.

AI and Quantum Computing: Exploring the intersection of AI and quantum computing technologies.

AI and Quantum Computing: Exploring the intersection of AI and quantum computing technologies.

AI for Autonomous Drones: AI-driven decision-making in autonomous drone operations.

AI for Autonomous Drones: AI-driven decision-making in autonomous drone operations.

AI in Brain-Computer Interfaces: AI-powered BCI advancements for medical and assistive purposes.

AI in Brain-Computer Interfaces: AI-powered BCI advancements for medical and assistive purposes.

AI in Indigenous Language Preservation: Using AI to preserve and revitalize indigenous languages.

AI in Indigenous Language Preservation: Using AI to preserve and revitalize indigenous languages.

AI for Urban Planning: AI-driven models for urban infrastructure development and management.

AI for Urban Planning: AI-driven models for urban infrastructure development and management.

AMD: Almost half of enterprises risk ‘falling behind’ on AI

AMD: Almost half of enterprises risk ‘falling behind’ on AI

Study highlights impact of demographics on AI training

Study highlights impact of demographics on AI training

AI and Food Sustainability: AI applications for optimizing food production and reducing waste.

AI and Food Sustainability: AI applications for optimizing food production and reducing waste.

AI in Humanitarian Aid: AI's role in aiding humanitarian efforts and refugee assistance.

AI in Humanitarian Aid: AI’s role in aiding humanitarian efforts and refugee assistance.

AI for Wildlife Conservation: AI-driven approaches to protect endangered species and habitats.

AI for Wildlife Conservation: AI-driven approaches to protect endangered species and habitats.

AI in Ocean Exploration: AI applications in marine research and underwater robotics.

AI in Ocean Exploration: AI applications in marine research and underwater robotics.

AI and Drug Dosage Prediction: Personalized drug dosage recommendations using AI models.

AI and Drug Dosage Prediction: Personalized drug dosage recommendations using AI models.