By Brijraj Bhuptani

The specter of AI replacing human workers has loomed large in recent years. Headlines scream about automation and job losses, painting a bleak picture of a machine-dominated future. Drawing parallels from history to today, we can expect significant changes in the workforce. Emerging and future technologies will likely play crucial roles as assistants and workers, particularly in the healthcare sector. But even with AI, human connection will continue to be important.

Healthcare, especially rehab therapy, relies heavily on the human connection between patients and clinicians. This typically in-person profession includes hands-on evaluation and treatment as part of the patient’s care plan. Physical therapists’ sophisticated sense of touch, used to evaluate mobility, diagnose deficits, and enable therapies, has proven invaluable. Unfortunately, administrative burdens, time constraints each session, heavy caseloads, and high production expectations make it difficult for physical therapists to offer the best service to patients. There is an increasing need to be more efficient while maintaining large caseloads, which leads to provider burnout and inadequate patient care.

Further Reading: Spry Adds Suite of AI-Powered Tools to Rehab Therapy EMR

Artificial intelligence (AI) is rapidly integrating into this healthcare sector with new technologies that can analyze vast amounts of data, driving scientific innovation and improving treatment accuracy, patient convenience, and care coordination. However, some healthcare professionals are concerned about a rise in automation, fearing that AI will surpass human capabilities and replace doctors entirely. This is particularly concerning in disciplines like physical therapy, where empathy and patient connections are crucial.

AI Can Empower Rehab Therapists

However, the reality is far more nuanced. AI is not here to take our jobs but to empower rehab therapists. It’s doubtful that AI will surpass human intellect very soon. AI can improve healthcare, but it cannot replace the importance of human interaction. This is because the human element remains essential in successful rehabilitation, even as technology like AI plays an increasingly prominent role.

Here’s why it’s so crucial:

  • Building Trust: When patients trust their therapist, they are more likely to be open and honest about their challenges, anxieties and progress. This transparency allows the therapist to create a more effective treatment plan.
  • Fostering Open Communication: A robust therapeutic alliance encourages open communication. Patients feel comfortable expressing their concerns, fears, and frustrations without judgment. Therapists can then address these concerns head-on, promoting emotional well-being and a sense of control over the recovery process.
  • Motivating Patients: A supportive and encouraging therapist can be a powerful source of motivation for patients. When faced with setbacks or plateaus, the therapist can provide the necessary encouragement and emotional support to help patients stay committed to their goals.

Beyond these core benefits, a solid therapeutic alliance can:

  • Enhance Treatment Effectiveness: When patients believe in their therapist and the treatment plan, they are more likely to actively participate in their recovery, leading to better outcomes.
  • Promote Long-Term Adherence: A positive therapist-patient relationship can motivate patients to continue therapy even after discharge, promoting long-term health and well-being.

AI Suite of Tools

Investing time and effort in building this therapeutic alliance is a significant first step toward successful rehabilitation.

Now, let’s explore how AI is an enabler across various rehabilitation sections, making humans more effective, not obsolete.

AI offers a suite of tools that can significantly enhance a therapist’s day-to-day operations:

  • Automating Repetitive Tasks: AI can automate repetitive administrative tasks such as scheduling appointments, generating reports, and managing patient data.
  • Data Analysis: It can analyze vast amounts of electronic medical record (EMR) data from countless therapy sessions. This data analysis can identify trends in therapist behavior, treatment effectiveness for specific conditions, and potential areas for improvement. Therapists can then leverage these insights to make data-driven decisions and develop more effective treatment options for their patients.
  • AI-Powered Chatbots: AI-powered chatbots can address basic patient queries, provide appointment reminders, and offer resources between therapy sessions.
  • Personalized Treatment Plans: AI can analyze data from wearable devices, surveys, and progress reports to comprehensively understand each patient’s unique needs and progress. Therapists can then utilize this data to design personalized treatment plans, targeting specific limitations and maximizing recovery potential.

The Limitations of AI in the Therapeutic Alliance

While AI offers exciting possibilities for streamlining rehab and providing additional support, it’s crucial to acknowledge its limitations when it comes to building the core elements of the therapeutic alliance:

  • Nuanced Emotional Understanding: AI can analyze data and identify patterns but cannot truly understand and respond to the complex spectrum of human emotions. On the other hand, therapists can empathize with a patient’s frustration, fear or sadness, creating a sense of validation and emotional support. This fosters a deeper connection and a stronger alliance.
  • Non-Verbal Communication: Human communication goes beyond spoken words. Facial expressions, body language, and tone of voice are crucial in conveying emotions and building rapport. AI may struggle to interpret these non-verbal cues, potentially missing important information about a patient’s emotional state. With their honed observational skills, therapists can pick up on these subtleties and adjust their communication accordingly, creating a more responsive and supportive environment.
  • The Power of Personal Connection: Building trust and a solid therapeutic alliance hinges on a genuine human connection. Therapists can establish rapport by showing interest in a patient’s life experiences, hobbies and concerns. This personalized approach fosters a sense of mutual respect and understanding, something AI can’t replicate.
  • Addressing Unforeseen Challenges: Therapy is rarely linear. Unexpected setbacks, emotional roadblocks, or personal challenges can arise during rehabilitation. Therapists can adapt their approach based on these unforeseen circumstances, offering guidance and support to help patients navigate these hurdles. AI, with its preprogrammed algorithms, may struggle to respond effectively to such situations.

While AI exhibits remarkable capabilities in automating tasks and enhancing efficiency across various professions, it’s crucial to examine the precise nature of these automations. AI is not designed to replace the critical decision-making authority of clinicians. Instead, its immense processing power tackles routine tasks requiring minimal cognitive effort. This frees up valuable time for clinicians to focus on the core aspects of their work: applying clinical judgment, fostering patient rapport, and demonstrating empathy. By reframing AI’s role from a potential usurper to a time-liberating tool, rehab therapists can unlock their true potential in healthcare — empowering clinicians to deliver even better patient care.

Brijraj (Vaghani) Bhuptani is co-founder and chief executive officer of SPRY Therapeutics, Inc., inventor of a fully integrated, AI-powered EMR for rehab therapy.
Brijraj (Vaghani) Bhuptani is co-founder and chief executive officer of SPRY Therapeutics, Inc., inventor of a fully integrated, AI-powered EMR for rehab therapy. Photo: SPRY Therapeutics

Brijraj (Vaghani) Bhuptani is co-founder and chief executive officer of SPRY Therapeutics, Inc., inventor of a fully integrated, AI-powered EMR for rehab therapy. As CEO, Bhuptani drives company and product strategy as he leads the organization in the commercialization of its AI-first software platform for rehab therapy. Before SPRY, Bhuptani co-founded and served as chief executive officer of Birds Eye Systems, the creator of major mass transit platform Ridlr. This enterprise was acquired by Ola, one of the world’s largest ride-hailing companies, where Bhuptani then served as chief technology officer. Prior to Birds Eye Systems, Bhuptani applied his engineering background to solving some of the most pressing technology concerns facing large media and wireless firms, including Qualcomm and Sears India. For more information on SPRY, visit www.sprypt.com, and follow the company on LinkedIn.

Featured image: Dreamstime