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How do I turn this on? What to consider when adopting AI-based tools into clinical practice Passed

Tuesday May 23, 2023 13:00 - 13:30 F1

Lecturer: Harry Hallock

Track: AI

Artificial intelligence (AI) has great potential to transform healthcare, making it more efficient, equitable, and safe. There are hundreds of AI-based tools available on the market today, yet few get adopted into clinical practice because of numerous barriers and challenges. To explore these barriers and challenges, we reviewed literature on AI adoption in healthcare settings; we interviewed clinicians, healthcare administrators, researchers, non-clinical healthcare staff, and AI manufacturers; and we conducted an international workshop with stakeholders who have experience with the process of trying to adopt AI-based tools into clinical practice. Our research resulted in 26 considerations targeted towards the adopters of AI-based tools, meaning users and buyers of these tools such as healthcare administrators, clinicians, researchers, and other healthcare staff (e.g., procurement, legal, and IT specialists). We believe that as the barriers and challenges to AI adoption are addressed and overcome, AI will inevitably have a lasting impact on improving healthcare for all.

Topic

Implementation

Language

English

Seminar type

Pre-recorded + On-site

Objective of lecture

Tools for implementation

Level of knowledge

Introductory

Target audience

Management/decision makers
Organizational development
Purchasers/acquisitions/eco nomy/HR
Technicians/IT/Developers
Researchers
Care professionals
Healthcare professionals

Keyword

Benefits/effects
Education (verification)
Test/validation
Patient safety
Government information

Conference

Vitalis

Lecturers

Profile image for Harry Hallock

Harry Hallock Lecturer

Senior Researcher - Healthcare
DNV

Harry is currently a senior researcher in DNV’s Healthcare Research Programme where he and his colleagues are investigating the barriers to adoption of AI-based tools in healthcare.

Harry holds a PhD in cognitive neurosciences from the University of Sydney, Australia. He did a postdoc at the Charité, developing a platform to facilitate remote clinician-led cognitive assessment and training for neurocognitive disorders.

Harry is DNV’s Project Manager for AI-Mind, a H2020 project focused on developing intelligent digital tools for screening and dementia risk estimation in people with MCI.