Development of Optical Character Recognition-Based Quality Control Process of Paper-Based Consent Forms
We optimized a proprietary artificial intelligence-based OCR tool to develop a highly efficient and reliable OCR-based consent management model for paper-based consent documents. This approach could contribute to the digital transformation of traditional biobanking processes of paper-based consent forms.
Authors
- Byeong-Mun Heo
- Juyoung Lee (ORCID: https://orcid.org/0000-0002-7168-0600)
- Meehee Lee
- Jae Pil Jeon (ORCID: https://orcid.org/0009-0005-6253-7211)
- Hye Young Nam
Institutions
- Korea National University of Transportation (KR)
- Chungbuk National University (KR)
- Korea National Institute of Health (KR)
- Skin Research Center (FR)
- Korea Disease Control and Prevention Agency (KR)
Publication Details
- Journal
- Biopreservation and Biobanking
- Published
- 2026-02-17
- DOI
- https://doi.org/10.1177/19475535261422291
- Primary Topic
- Biometric Identification and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00