AI IN TELEHEALTH
Discussion Points ▪ Workshop used nominal group technique to explore the future of telehealth with AI in 10 years ▪ Participants envisioned telehealth services utilising AI from various perspectives ▪ Multiple case examples were used to stimulate thinking about telehealth's broad definition ▪ Telehealth defined as healthcare using digital technology where provider and recipient are separated by time and/or distance
Key Actions Participants identified steps needed to achieve their envisioned future, including: ▪ Developing shared electronic health records with individual ownership ▪ Creating standards for data interoperability ▪ Addressing the digital divide and ensuring equitable access ▪ Establishing clear regulatory frameworks for AI in healthcare ▪ Implementing proper funding models for telehealth innovation ▪ Building trust through transparency and patient control of data
Additional Notes ▪ Common themes across groups included data standards, patient-centred care, and regulatory concerns ▪ Participants expressed mixed views on regulation—some advocated for new regulatory bodies while others preferred more agile approaches to existing frameworks ▪ Many groups prioritised human factors over technological solutions ▪ Concerns raised about AI bias, privacy, and the need for healthcare workforce support ▪ International data sharing emerged as an important consideration for future telehealth systems
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