About Us
Built by a team that knows medicine, AI, and regulation.
MEV does not believe AI replaces clinicians. Our goal is to make clinicians' decisions more accurate by attaching evidence, physician verification, and an audit trail to every decision.
Expertise
It is a problem no single field can solve.
Claims, coding, and referrals sit at the intersection of clinical practice, review, engineering, and regulation. MEV handles all three areas of expertise within one team.
Clinical practice · insurance review
Medical domain expertise that understands medical records and claim-review criteria. We start from what gets denied and why patients are referred.
AI engineering
We design models that handle medical records, codes, and guidelines, along with explainable pipelines that present evidence alongside results.
Medical regulation · governance
We review the Medical Service Act, the Personal Information Protection Act, and the MFDS medical device (SaMD) pathway to meet hospital adoption requirements.
About the CEO
Built directly by a medical informatics researcher who knows the field.
Tae-Hoon Ko
Professor, AI & Brain Science Division, Catholic Central Medical Center
A medical informatics researcher who has studied medical AI and data standardization at Catholic Central Medical Center. He brings clinical data expertise to life in MEV's claims, coding, and referral products.
- Education
- Ph.D. in Industrial Engineering, Seoul National University · specialization in data mining
- Awards
- Korean Society of Medical Informatics Award in Informatics Medicine (2024) · Minister of Health and Welfare Commendation
- Research
- 30+ SCI papers on medical AI · multimodal clinical AI, data standardization, and more
Would you like to review it together?
See whether MEV fits your hospital's workflow in a 30-minute demo.
Request a Demo