Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validati
An NLP-driven AI-assisted coding system can assist CCSs in ICD-10-CM coding by offering coding references via a user interface, demonstrating the potential to reduce the manual workload and expedite Tw-DRG assessment. Consistency in performance affirmed the effectiveness of the system in supporting CCSs in ICD-10-CM coding and the judgment of Tw-DRGs.
Authors
- Hao-Yun Kao (ORCID: https://orcid.org/0000-0002-9390-9314)
- Cheng-Rong Ke
- Hong-Jie Dai (ORCID: https://orcid.org/0000-0002-1516-7255)
- Chen-Kai Wang (ORCID: https://orcid.org/0000-0003-1830-2915)
- Vincent S. Tseng (ORCID: https://orcid.org/0000-0002-4853-1594)
- Ming‐Ju Tsai (ORCID: https://orcid.org/0000-0003-3621-3334)
- William Yu Chung Wang (ORCID: https://orcid.org/0000-0002-1279-2127)
- Mutiara S. Simanjuntak (ORCID: https://orcid.org/0000-0001-8024-6374)
- Chia-Hsin Lai (ORCID: https://orcid.org/0009-0003-9533-140X)
- Chien-Chang Chen (ORCID: https://orcid.org/0009-0008-0103-3089)
- Chong-Sin Liou (ORCID: https://orcid.org/0009-0009-8024-9589)
- An-Tai Lu
- Tatheer Hussain Mir (ORCID: https://orcid.org/0009-0007-8409-8189)
- Bo-Tsz Shain
Institutions
- University of Science and Technology (YE)
- National Yang Ming Chiao Tung University (TW)
- Kaohsiung Medical University (TW)
- National Health Research Institutes (TW)
- Kaohsiung Medical University Chung-Ho Memorial Hospital (TW)
- Ministry of Health and Welfare (TW)
- National Kaohsiung University of Science and Technology (TW)
- University of Waikato (NZ)
- Chunghwa Telecom (Taiwan) (TW)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-09-20
- DOI
- https://doi.org/10.2196/58278
- Citations
- 17
- Primary Topic
- Medical Coding and Health Information
- Type
- article
- Field-Weighted Citation Impact
- 12.03