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
When the Vendor Won't Take Your Call: Red Flags in AI Scribe Support
How to spot vendor support problems early, what they predict about your relationship, and when to act on the signal versus when to wait.
AI Scribe in Cardiology and Complex Decision-Making Specialties
How AI medical scribes fit into cardiology, endocrinology, rheumatology, and other specialties where the visit's value is in dense decision-making and longitudinal management.
Does Your AI Scribe Get Better Over Time? What Actually Improves
Vendors claim their AI medical scribes improve over time. What that actually means in practice, what truly gets better, and what doesn't change much.
AI Scribe and the Patient Portal: Sharing the Note With Patients
How AI-generated clinical notes are received by patients via the portal, what to edit before publishing, and how the open-notes movement affects AI scribe workflow.
Building an AI Scribe Champion Program in a Larger Practice
How larger primary care groups and specialty practices can structure peer-led AI scribe adoption to maximize success and minimize the drop-offs that plague top-down rollouts.
You Signed an AI-Generated Note With an Error: The Recovery Playbook
A step-by-step playbook for what to do when you discover an error in a signed AI-generated clinical note, covering chart correction, patient communication, and risk management.
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