Friday, December 27, 2024

What will artificial intelligence do for telemedicine in 2025? More than you think

Share

Dr. Stephanie Lahr is the CEO of Artisight, a virtual care technology and services company that offers a unique experience – the stalwart operate of artificial intelligence on a telemedicine platform.

The company offers an AI-powered sharp hospital platform designed to enable virtual care models, improve quality and care coordination. The platform is built on artificial intelligence-enabled sensors that facilitate computer vision, voice recognition, vital signs monitoring and indoor positioning capabilities.

We asked Lahr to consider where virtual care and artificial intelligence are today, and then look to 2025 to see what might happen in the coming year. No wonder he has a lot to say about artificial intelligence.

Q. So you’re saying that in 2025, AI will surpass the hype cycle. What do you think technology and its applications will look like in healthcare?

AND. 2025 will be the moment when AI in healthcare moves beyond the hype cycle and demonstrates physical value through practical applications that improve clinical workflows. Healthcare organizations will embrace a more sophisticated vision of artificial intelligence that combines virtual nurse capabilities with environmental sensing technologies to create an knowledgeable care environment that anticipates patient needs while supporting – rather than replacing – clinical decision makers.

This evolution will primarily manifest itself in routine patient monitoring and workflow optimization, where AI systems will demonstrate a clear return on investment (ROI), reducing the administrative burden on nurses and increasing their ability to focus on direct patient care. Virtual nursing platforms will go beyond straightforward task automation and will become knowledgeable assistants that actively identify potential deterioration of a patient’s health and support clinical decisions in real time.

The healthcare industry will establish clear metrics for assessing the impact of AI on clinical outcomes, operational efficiency and patient experiences. Organizations will move beyond measuring basic utilization statistics and focus on tracking advanced metrics such as preventing adverse events, reducing clinical burnout, and improving care coordination, creating a modern standard for demonstrating the physical value of AI in healthcare delivery.

Question: You claim that 2025 will see significant advances in computer vision and sensor integration. Please describe this evolution of their operate.

AND. The integration of computer vision and advanced sensor technologies in care settings will evolve methodically with intentional, measured progress. Leading healthcare systems will deploy these technologies strategically, starting with virtual observation and patient safety applications and then expanding to more convoluted clinical scenarios.

This prudent approach will build trust through transparency while ensuring systems are effectively tailored to each unique care environment.

Advanced sensor networks will transform patient rooms into knowledgeable spaces that continuously monitor vital signs, movement patterns and environmental conditions without the need for direct patient contact. This ambient intelligence will enable early detection of patient deterioration, fall prevention, and automatic patient documentation, creating more comprehensive and true clinical documentation while reducing the documentation burden on nursing staff.

Healthcare facilities will develop advanced frameworks for managing these technologies, establishing clear protocols for data privacy, algorithmic transparency and clinical oversight. This framework will take into account not only technical efficiency, but also ethical considerations regarding patient consent, data ownership, and the appropriate balance between automation and human judgment in clinical care.

Q. You see further evolution, this time in specialty care. How will this landscape change in 2025?

AND. The impact will become especially evident in the delivery of specialty care in 2025, as AI-enabled virtual platforms expand beyond basic telemedicine and become sophisticated remote presence systems. The combination of virtual nursing support and ambient intelligence will enable specialists to significantly expand their expertise across geographic boundaries.

This evolution will fundamentally improve access to care in rural communities while maintaining high standards of clinical quality and patient experience.

Advanced virtual care platforms will recreate diverse aspects of in-person specialist consultations with high-fidelity sensors, real-time physiological data integration and AI-enhanced communication tools. These systems will enable specialists to perform detailed patient assessments, guide local care teams through convoluted procedures and continuously monitor patient progress, effectively eliminating physical distancing barriers to the delivery of specialist care.

The democratization of expertise through these technologies will catalyze modern care delivery models that combine virtual and in-person care based on clinical need, not geographic boundaries. Healthcare organizations will develop hybrid care protocols that optimize the operate of specialized resources while ensuring consistent quality across all care settings, creating a more equitable and proficient healthcare system.

Latest Posts

More News