Clinical AI

By Stan Reshetnyk, CTO, Trembit — HIPAA/KBV-compliant telemedicine architecture and real-time AI integration · Last updated 15 July 2026 An AI clinical scribe is ambient software that listens to a clinician–patient conversation during a visit and drafts a structured clinical note — a SOAP note, an assessment, a problem list — instead of just a […]

DCB0129, DCB0160, and HIPAA for clinical AI: what deploying AI safely in healthcare actually requires, plus a compliance checklist for engineering teams.

AI in healthcare in 2026: what’s production-ready (scribes, imaging triage, admin automation) vs. still hype, and how to integrate it safely.

The pitch for AI in telehealth is compelling: real-time transcription that auto-populates clinical notes, live translation that eliminates language barriers between patients and practitioners, and ambient AI that detects medication names and flags potential interactions mid-call. Investors love it. Product roadmaps are full of it. The production reality is more complicated. Teams that have shipped […]

Telehealth platforms have solved the “video visit” problem. Most can reliably connect a patient and a clinician over a stable video stream. However, the industry’s next frontier isn’t about call quality — it’s about what happens during the call. Voice AI agents are now capable of joining a live telehealth session, listening in real-time, generating […]

Telehealth has become a cornerstone of modern healthcare delivery. Since the pandemic accelerated its adoption, millions of patients worldwide now rely on video consultations for everything from routine check-ups to specialist referrals. Yet one persistent challenge continues to undermine the quality of these interactions: poor video quality caused by low or unstable internet connections. Pixelated […]

Language barriers in healthcare aren’t a niche problem. More than 25 million people in the United States have limited English proficiency, and research consistently shows that patients who can’t communicate fluently with their providers experience worse outcomes, more medical errors, and significantly lower satisfaction with their care. In telehealth, where the entire clinical relationship runs […]

Artificial intelligence that can read a patient’s emotional state during a telehealth consultation sounds either like a breakthrough or a surveillance concern, depending on who you ask. Proponents describe a near future where AI assistants flag signs of depression before a clinician notices them, alert providers to patient distress in real time, and generate post-consultation […]

Virtual reality has been described as the future of medicine for nearly a decade. The pitches are compelling: immersive surgical simulations, VR-assisted pain management, remote consultations so lifelike they rival an in-person visit. The reality, as with most emerging technology in healthcare, is more nuanced. VR is not the future of telemedicine. In specific, well-defined […]

Artificial intelligence has become one of the most discussed technologies in healthcare. Yet for many telemedicine providers, the real challenge is not whether to use AI — but how to apply it in ways that create measurable value for patients, clinicians, and the business itself. Successful AI adoption in telemedicine is not about futuristic promises […]