Telemedicine Neurologist Model Demonstrates Major Efficiency Gains – Insights Relevant for MDR in AIS Innovations
The Mobile Stroke Unit Telemedicine (MSU‑TELEMED) trial—presented at ESOC 2025 by lead author Vignan Yogendrakumar, Ph.D., and published in NEJM Evidence—provides new evidence that a telemedicine‑based neurologist model can improve workflow efficiency without compromising patient outcomes. These findings are particularly relevant for the MDR in AIS project’s mission to advance AI‑supported, remote, and digitally integrated acute care pathways, highlighting how digital tools can optimise specialist involvement in high‑urgency settings.
A Trial Demonstrating What Remote Expertise Can Achieve
The study was carried out in Melbourne, Australia, across the Melbourne MSU and ten tertiary hospitals, including 275 patients:
- 135 assessed remotely using a cloud‑based telemedicine platform,
- 140 assessed by a neurologist physically present on the MSU.
Importantly, all patients were consistently supported by a standard MSU team of two paramedics, a stroke nurse, and a radiographer, with additional assistance from ambulance services. This provided a stable foundation to directly compare the efficiency of the two neurologist‑care models.
New Evidence: Telemedicine Outperforms Onboard Care in Efficiency
Using a hierarchical win‑odds analysis based on:
- Safety,
- Scene‑to‑treatment‑decision time,
- Percentage of time neurologists spent in direct patient care,
the telemedicine model demonstrated clear superiority, achieving a win odds of 3.5 (76% vs 20% wins).
While the onboard neurologist model was slightly faster in decision‑making (by roughly four minutes), this did not translate into better clinical outcomes. There were no safety differences and no difference in 90‑day functional outcomes (mRS).
The biggest advantage came from resource use:
- Telemedicine neurologists reached 100% productive time, engaging only when needed.
- Onboard neurologists reached only 33%, losing significant time during travel, imaging, and preparation phases.
Why This Matters for MDR in AIS
MDR in AIS aims to integrate digital, AI‑assisted clinical support across emergency care pathways. The MSU‑TELEMED results reinforce several principles central to MDR in AIS:
- Remote Specialists Can Effectively Scale Across Multiple Sites
The demonstrated efficiency implies that one neurologist can support several mobile units simultaneously, leveraging digital technologies—an approach that aligns with MDRinAIS objectives for scalable, equitable specialist access.
- Technology‑Supported Decision Systems Maintain Safety and Care Quality
The trial found no drop in safety or outcomes, underscoring that remote decision‑making—strengthened by digital tools—can be just as reliable as traditional on‑site models.
- Optimised Workflow Increases System Sustainability
By reducing unnecessary on‑site time and supporting more flexible staffing models, telemedicine allows health systems to become more cost‑efficient and sustainable—a core goal of the digital innovations under development within MDRinAIS.
A Step Forward for Digitally Enabled Acute Care
This evidence strengthens the case for digitally enhanced neurological care pathways, supporting the MDRinAIS vision of improved accessibility, responsiveness, and efficiency through intelligent medical technologies. As the project develops novel AI‑supported tools for emergency diagnosis and care coordination, results like the MSU‑TELEMED trial offer important real‑world validation that remote specialist integration can be safe, scalable, and highly efficient.
References:
Yogendrakumar, Vignan, et al. “A randomized trial of telemedicine models of care on a mobile stroke unit.” NEJM evidence 5.2 (2026): EVIDoa2500217. https://evidence.nejm.org/doi/full/10.1056/EVIDoa2500217
SOC 2025 recording: SAFETY&EFFICACY OF TELEMED NEUROLOGIST ASSESSMENTS ON A MOBILE STROKE UNIT. Available at: https://www.youtube.com/watch?v=PHwIpRhgzR4
Author(s): Liva Araka, Rīga Stradiņš University