Many telehealth startups fail by viewing their service as a video call, ignoring the complex workflows of therapists and health systems. TheraNow succeeded by deeply integrating into these existing processes, making its technology an enhancement, not an extra burden, which drove adoption.
Founders often define "integration" as connecting software via APIs. However, true integration means embedding a product seamlessly into the clinician's and patient's existing daily workflow. Any deviation, no matter how small, creates friction that kills adoption rates among busy healthcare professionals.
Instead of being a tech-first company, TheraNow treated itself as an "operations first" business. They analyzed the workflow of a traditional physical therapy practice, identified scaling bottlenecks for patients, therapists, and health systems, and then built technology specifically to solve those operational challenges.
Generic AI documentation tools, often trained on primary care conversations in quiet rooms, fail in specialized fields. Physical therapy occurs in noisy, dynamic environments with unique terminology. TheraNow's success came from building its AI on a specific dataset of PT-patient interactions, tailored to that workflow.
AI often fails at revenue cycle management because it interprets actions literally. A physical therapist might prescribe a squat not for leg strength (one billing code) but for core re-education (a different code). This clinical intent is rarely spoken aloud, so AI must understand context to bill accurately.
Startups consistently underestimate sales cycles with large hospital systems. Due to risk aversion and complex approval processes designed to ensure patient safety, what seems like a three-month process will likely take nine months. Founders must build this 3x buffer into their financial planning to survive.
As a clinician, TheraNow's founder constantly filters decisions through his own user mindset, asking if he, as a patient or therapist, would use the product. This practice provides an intuitive check against building features that add complexity rather than solving real-world problems for the end user.