Streamlining data recording through optical character recognition: a prospective multi-center study in intensive care units
An OCR-based data entry system can effectively and efficiently facilitate data entry into clinical databases, making it a promising tool for future clinical data management. Wider uptake of these systems should be encouraged to better understand their strengths and limitations in both clinical and research settings.
Authors
- Aina Tominaga
- Jacky Y. Suen (ORCID: https://orcid.org/0000-0002-0309-2524)
- Kiyomitsu Fukaguchi (ORCID: https://orcid.org/0000-0003-2262-1898)
- Pauline Yeung Ng (ORCID: https://orcid.org/0000-0001-6671-5963)
- John Francis Fraser (ORCID: https://orcid.org/0000-0002-7012-2519)
- Keibun Liu (ORCID: https://orcid.org/0000-0002-6867-1420)
- Tadahiro Goto (ORCID: https://orcid.org/0000-0002-5880-2968)
- Prompak Nitayavardhana
- Mineto Fujisawa
- Yuta Iwamoto
- Itaru Koike
Institutions
- Siriraj Hospital (TH)
- Queensland University of Technology (AU)
- The University of Queensland (AU)
- Chinese University of Hong Kong (HK)
- Queen Mary Hospital (CN)
- Prince Charles Hospital (AU)
- Shonan Kamakura General Hospital (JP)
- University of Hong Kong (HK)
Publication Details
- Journal
- Critical Care
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1186/s13054-025-05347-1
- Citations
- 7
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 20.56