Fatih Aktas
Founder & CEO, Transcribe Health
Fatih is the founder and CEO of Transcribe Health, where he builds HIPAA-compliant AI clinical documentation tools for outpatient practices in the US and Canada. He holds a B.Sc. in Computer Engineering from the University of Alberta and graduate training in Interactive Intelligence at the Georgia Institute of Technology, a specialization in conversational AI systems that directly informs Transcribe Health's ambient scribe architecture. He writes about the engineering and operator-side realities of building AI scribes, with topical expertise in real-time speech recognition pipelines, clinical NLP accuracy, HIPAA and PIPEDA technical compliance, EHR integration patterns, and the commercial buying decisions outpatient practices face when picking an ambient documentation vendor.
Education
Graduate study, Interactive Intelligence
B.Sc., Computer Engineering
Areas of expertise
Recent articles
AI Scribe in Dermatology and Procedure-Heavy Specialties
How AI medical scribes fit into dermatology, ophthalmology, urology, and other procedure-heavy specialties where office visits and procedure documentation overlap.
AI Scribe for Telehealth-Only Practices: Why It's the Best-Fit Use Case
Telehealth-only practices get the strongest benefit from AI medical scribes, and the workflow choices that make it work well differ from in-person practice.
Six Months In: What to Re-evaluate About Your AI Scribe Setup
A structured six-month review of your AI medical scribe rollout, covering what to recalibrate, what to renegotiate, and what to retire to keep the workflow healthy long-term.
AI Scribe in Pediatrics: Vaccines, Parent-Child Dynamics, and Short Encounters
How AI medical scribes fit into pediatric practice, including well-child visits, vaccine workflows, parent-mediated history-taking, and the quirks that affect note quality.
AI Scribe and E/M Coding: Does It Help You Code More Accurately?
How AI medical scribes affect E/M code selection, documentation defensibility under audit, and the real-world coding accuracy gains and risks practices should expect.
When NOT to Use an AI Scribe: Visits Where It Makes Things Worse
Most articles about AI medical scribes are about when they help. This one is about the visits where they hurt, and why knowing the boundary protects both patients and providers.
For our editorial process, see the editorial policy.