Legal Void at the Core of Medical AI

Medical records serve as essential training data for the development of AI in healthcare, from diagnostic support systems to clinical decision-making tools. Yet despite their centrality to the sector, no statute in Korea explicitly assigns ownership of these records. This absence means that disputes over access, use, and commercialization of medical data lack a clear legal basis for resolution.

The gap raises practical questions for all parties involved. Patients generate the information contained in their records, but hospitals and clinics hold and manage the data in their systems. Without ownership rules, the boundaries between patient rights and institutional control remain undefined.

Implications for the AI Industry

The ambiguity carries weight for Korea's medical AI sector, which relies on large volumes of clinical data to train and validate models. Developers seeking access to records operate without clear guidance on whether consent from patients suffices, what rights medical institutions have to license data onward, or how liability is allocated when records are used beyond their original purpose.

The unresolved ownership question also complicates data sharing between institutions, a common requirement for building robust AI models. In the absence of statutory ownership rules, such arrangements depend on contract-based agreements rather than a unified legal framework.

Unanswered Questions

Whether Korea will introduce legislation to clarify medical record ownership remains an open question. Until such rules are established, the legal status of one of medical AI's most valuable resources — the records themselves — will continue to be governed by an empty space in the statute books.

The claim that no ownership regulation exists for medical records, a core resource for medical AI, is True.

Verdict: True