Artificial Intelligence in Telemedicine
DOI:
https://doi.org/10.30953/thmt.v10.595Keywords:
artificial intelligence, AI in telehealth, improving patient care, healthcare operational efficiency, telehealth, telemedicine, digital health innovationAbstract
Telehealth and Medicine Today (THMT) editors and members of the International Society for Telemedicine and eHealt (ISfTeH) for this face-paced conversation. Hear frontline experts discuss real world experiences and opinions about AI, improving patient care, and operational efficiency within the healthcare sector.
Topics that will be discussed the conversation will include are:
- How to move beyond pilot purgatory to focus on what really matters - outcomes.
- Drawing on real-world examples from community-based healthcare
- Practical strategies for defining success, embedding remeasurement cycles, and using AI and automation to advance equity and efficiency
- How AI is reducing documentation burden and surfacing timely clinical insight to support virtual and remote care nurses
- Why co-developing with nurses is critical, and how to build safe, trusted AI tools that fit the realities of telehealth and remote clinical environments.
- How AI agents can manage remote follow-ups, symptom monitoring, and patient education
- Virtual Brain Health
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Copyright (c) 2025 Waqas Ahmed, MD, FACP, Sarah Bell, RN, MSN, MHA, Sarah Harper, MA, MBA, Moderator: Jefferson G. Fernandes, MD, MSc, PhD, MBA

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors retain copyright of their work, with first publication rights granted to Telehealth and Medicine Today (THMT).
THMT is published under a Creative Commons Attribution-NonCommercial 4.0 International License.











