A Review of Approaches to Standardizing Medical Descriptions for Clinical Entity Recognition: Implications for Artificial Intelligence Implementation
This article reviews the current state of standardization in specific areas of the medical sector in Poland, focusing on terminology and the unique context of the Polish language. The primary objective was to analyze the existing resources and examine possibilities, challenges, and opportunities ass...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/21/9903 |
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| author | Michał Paweł Wierzbicki Barbara Anna Jantos Michał Tomaszewski |
| author_facet | Michał Paweł Wierzbicki Barbara Anna Jantos Michał Tomaszewski |
| author_sort | Michał Paweł Wierzbicki |
| collection | DOAJ |
| description | This article reviews the current state of standardization in specific areas of the medical sector in Poland, focusing on terminology and the unique context of the Polish language. The primary objective was to analyze the existing resources and examine possibilities, challenges, and opportunities associated with integrating Artificial Intelligence, particularly natural language processing methods, into the healthcare system. The additional goal of this review was to place Poland in the international context by comparing the current state of the Polish standardization of healthcare with those of selected countries with more and less developed systems. The exploration highlights the main challenges that impact integration, including the specificity of the language and challenges in transferring knowledge from other languages, lack of communication between parties, and lack of stakeholder involvement in the standardization processes. This review also presents potential solutions to the mentioned challenges and provides insights into future directions, possibilities, proposals, and recommendations for all stakeholders. The practical application of this research extends beyond Poland. Many countries with underrepresented languages face similar challenges in clinical data processing, and the advances in CER for Polish could serve as a model for implementing AI-driven solutions in these regions. By refining CER models and adapting them to diverse linguistic and healthcare contexts, this research can foster improvements in patient care, medical research, and healthcare administration on a global scale. |
| format | Article |
| id | doaj-art-151c5329a41b4caaa8a9147c2d27091a |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-151c5329a41b4caaa8a9147c2d27091a2025-08-20T02:49:56ZengMDPI AGApplied Sciences2076-34172024-10-011421990310.3390/app14219903A Review of Approaches to Standardizing Medical Descriptions for Clinical Entity Recognition: Implications for Artificial Intelligence ImplementationMichał Paweł Wierzbicki0Barbara Anna Jantos1Michał Tomaszewski2Department of Computer Science, Opole University of Technology, 45-758 Opole, PolandDepartment of Computer Science, Opole University of Technology, 45-758 Opole, PolandDepartment of Computer Science, Opole University of Technology, 45-758 Opole, PolandThis article reviews the current state of standardization in specific areas of the medical sector in Poland, focusing on terminology and the unique context of the Polish language. The primary objective was to analyze the existing resources and examine possibilities, challenges, and opportunities associated with integrating Artificial Intelligence, particularly natural language processing methods, into the healthcare system. The additional goal of this review was to place Poland in the international context by comparing the current state of the Polish standardization of healthcare with those of selected countries with more and less developed systems. The exploration highlights the main challenges that impact integration, including the specificity of the language and challenges in transferring knowledge from other languages, lack of communication between parties, and lack of stakeholder involvement in the standardization processes. This review also presents potential solutions to the mentioned challenges and provides insights into future directions, possibilities, proposals, and recommendations for all stakeholders. The practical application of this research extends beyond Poland. Many countries with underrepresented languages face similar challenges in clinical data processing, and the advances in CER for Polish could serve as a model for implementing AI-driven solutions in these regions. By refining CER models and adapting them to diverse linguistic and healthcare contexts, this research can foster improvements in patient care, medical research, and healthcare administration on a global scale.https://www.mdpi.com/2076-3417/14/21/9903clinical entity recognitionnatural language processingstandardization of medical descriptionsPolish languageartificial intelligencehealthcare |
| spellingShingle | Michał Paweł Wierzbicki Barbara Anna Jantos Michał Tomaszewski A Review of Approaches to Standardizing Medical Descriptions for Clinical Entity Recognition: Implications for Artificial Intelligence Implementation Applied Sciences clinical entity recognition natural language processing standardization of medical descriptions Polish language artificial intelligence healthcare |
| title | A Review of Approaches to Standardizing Medical Descriptions for Clinical Entity Recognition: Implications for Artificial Intelligence Implementation |
| title_full | A Review of Approaches to Standardizing Medical Descriptions for Clinical Entity Recognition: Implications for Artificial Intelligence Implementation |
| title_fullStr | A Review of Approaches to Standardizing Medical Descriptions for Clinical Entity Recognition: Implications for Artificial Intelligence Implementation |
| title_full_unstemmed | A Review of Approaches to Standardizing Medical Descriptions for Clinical Entity Recognition: Implications for Artificial Intelligence Implementation |
| title_short | A Review of Approaches to Standardizing Medical Descriptions for Clinical Entity Recognition: Implications for Artificial Intelligence Implementation |
| title_sort | review of approaches to standardizing medical descriptions for clinical entity recognition implications for artificial intelligence implementation |
| topic | clinical entity recognition natural language processing standardization of medical descriptions Polish language artificial intelligence healthcare |
| url | https://www.mdpi.com/2076-3417/14/21/9903 |
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