Industry Insights: AI. The role of AI in MedComms - a bi-weekly update

Industry Insights: AI 30th March

Industry Insights: AI 30th March

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Industry Insights AI: 30/03/25

In this week’s insights, we focus on recent discussions and findings regarding the integration of AI (artificial intelligence) in health services and education.

 

Integrating digital health education into university degrees

The Australian Digital Health Agency (ADHA) is collaborating with universities to integrate digital health education into university degrees. This initiative aims to better prepare healthcare professionals to address the challenges of an overwhelmed health system. The project will be carried out by the Australian Council of Senior Academic Leaders in Digital Health, a 37-member formation of universities under the Digital Health Cooperative Research Centre. ‘We need to embrace digital transformation, including #AI and virtual care, but we also need to be cautious because patients must be kept safe. Having a curriculum that teaches students how to use it responsibly and confidently is needed’ says Dr. Lee Woods from the Queensland Digital Health Centre at the University of Queensland.

Link to ADHA announcement

 

How AI chatbots can help with on-demand support for patients

A recent study published in Cureus found that AI chatbots can improve diagnostic accuracy, support clinicians and boost patient adherence in remote patient monitoring and chronic disease management. According to the researchers, chatbots can be applied to scheduling, triage, symptom analysis and therapeutic support. They can be especially useful for managing high patient volumes and providing timely information. The study found that using AI chatbots may lead to patient engagement rates of over 90% and adherence rates as high as 97%.

Link to Cureus study

 

Using AI tools to track lung cancer in its early stages

A health system in Sarasota, Florida, has been actively employing artificial intelligence (AI) to catch lung nodules on CT (computerised tomography) scans, allowing for early lung cancer diagnosis and referral. Amie J. Miller, coordinator of the Lung Cancer Early Detection and Prevention Program in Sarasota, shared the benefits of this approach at the Association of Cancer Care Centers’ (ACCC) 51st Annual Meeting and Cancer Center Business Summit. After integrating AI, Sarasota’s health system has increased annual screening volume by 99% and diagnosed 70% of lung cancer cases at stages I and II.

Link to report

 

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Elion Medical Communications