Industry Insights AI: 21/08/24
This round of insights explores recent discussions on the impact of artificial intelligence (AI) on medical education, publishing and clinical documentation.
Is AI becoming an essential part of medical education?
In a recent podcast published by the American Medical Association (AMA), speakers discuss how medical schools are increasingly incorporating AI into their curricula.
Dr. Margaret Lozovatsky suggests the following five-pronged approach to teaching AI in medicine:
- Establishing foundational knowledge of AI
- Critically appraising the value and applications of AI
- Understanding the role of AI in clinical encounters
- Addressing technical considerations and cybersecurity risks
- Recognising potential biases and unintended consequences.
Dr. Kim Lomis emphasises the importance of integrating AI education into courses on evidence-based medicine, clinical reasoning and interpersonal communication skills rather than creating separate, standalone courses.
The transformative potential of AI in medical communications
Networkpharma.tv recently published a webinar exploring the hot topic of using AI to enhance publications and their delivery. Representatives from Nested Knowledge showcased real-life examples to demonstrate how agencies and pharmaceutical companies can utilise AI to produce high-quality outputs, such as systematic literature reviews, scientific communications platforms and publication updates in a cost-effective and timely manner.
The promise of ambient AI in clinical documentation
A commentary published this year in the New England Journal of Medicine (NEJM) Catalyst Innovations in Care Delivery discusses the promise of implementing ambient artificial intelligence scribes to reduce the burden of clinical documentation placed on physicians. This burden is a key contributing factor to clinician burnout. Ambient AI scribes are able to transcribe patient encounters in real time without retaining audio recordings, thus assisting physician-patient interactions and reducing working after work, also known as ‘pyjama time’. Early evaluations show high-quality clinical documentation and reduced time spent on electronic health records (EHR).
At Elion Medical Communications, we keep up-to-date with the latest in AI. Check out our other Industry Insights on LinkedIn or learn more at https://elion.nz/
