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2026/06/27•HEMSCap Content Writer

Official Report: RTM and Artificial Intelligence in Rehabilitation and Digital Health Conference

RTM and Artificial Intelligence in Rehabilitation and Digital Health Conference


The specialized conference titled Remote Therapeutic Monitoring (RTM) & Artificial Intelligence in Rehabilitation and Digital Health is an educational event in the field of digital health, focusing on the role of artificial intelligence in advancing clinical decision-making and transforming rehabilitation services.

The event is designed to explore modern applications of artificial intelligence in physical therapy, remote therapeutic monitoring (RTM), and the analysis of patient movement and outcome data. It is organized as part of the educational programs of the California Physical Therapy Association (CPTA).

 

Event Details

  • Date: June 24, 2026
  • Day: Wednesday
  • Time: 6:00 – 8:00 PM (Pacific Time)

 

Platform

  • Online Live Webinar
  • Delivered via the Zoom platform

 

Speaker

  • Dr. Hoda Salsabili, PT, PhD

 

 

 

Scientific Focus and Content Overview

This webinar, titled “AI-Enhanced Clinical Reasoning in Remote Therapeutic Monitoring (RTM)”, examines the role of artificial intelligence in transforming clinical reasoning and rehabilitation decision-making processes.

According to the official program content, RTM is rapidly changing how physical therapists evaluate patient adherence, progression, and clinical outcomes beyond the boundaries of the traditional clinic setting. Within this framework, artificial intelligence enables a shift from passive data collection toward active and clinically meaningful interpretation of patient performance data.

This two-hour webinar explores how AI-enabled RTM tools can support:

  • Clinical reasoning and decision-making
  • Plan-of-care adjustments in musculoskeletal and chronic condition management

Participants will also learn how artificial intelligence can integrate and synthesize:

  • Patient movement data
  • Patient-reported outcome measures (PROMs)
  • Engagement and adherence metrics

in order to generate enhanced clinical insights, while maintaining professional judgment, ethical responsibility, and regulatory awareness.

In addition, real-world case studies will demonstrate how AI-supported RTM can:

  • Improve patient engagement
  • Support individualized progression
  • Be integrated into existing clinical workflows without increasing documentation burden

The session also emphasizes critical evaluation of AI-generated insights, highlighting:

  • Where AI performs effectively
  • Where human clinical reasoning remains essential
  • And how clinicians should interpret and validate AI outputs responsibly

 


Conclusion

This conference is a specialized online educational webinar featuring Dr. Hoda Salsabili as the primary speaker. It focuses on the role of artificial intelligence in enhancing clinical decision-making, advancing RTM-based care, and improving the quality of modern rehabilitation practices.

Overall, this event represents a significant step toward the adoption of intelligent, data-driven, and remote healthcare models in contemporary rehabilitation systems.


Official Report: RTM and Artificial  Intelligence in Rehabilitation and Digital  Health Conference