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- ケカリィ アリア
- インドネシア大学医学部 地域医療科
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- アディ ヌリ プルウィト
- インドネシア大学医学部 地域医療科 産業医科大学 産業生態科学研究所 産業保健経営学
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- ソエマルコ デウィ スマリアニ
- インドネシア大学医学部 地域医療科
書誌事項
- タイトル別名
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- Preparation and Challenges in Developing a Big Data Analysis Framework in Occupational Medicine in Indonesia
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抄録
This mini review explores the transformative potential of big data analysis and artificial intelligence (AI) in reforming occupational medicine in Indonesia. Emphasizing the preconditions, case studies, and benefits, it underscores the role of big data in enhancing worker well-being. The review highlights the importance of informative health big data, especially in high-risk industries, with examples of case studies of AI implementation in occupational medicine during the COVID-19 pandemic and other relevant scenarios. While acknowledging the challenges of AI implementation, the essay identifies the role of academic and professional organizations as pioneers in big data utilization. Six potential benefits that are identified, including improved patient care and efficient resource allocation, demonstrate the transformative impact of big data analysis. The proposed pathway of preparation underscores the need for awareness, skill enhancement, and collaboration, addressing challenges in data management and stakeholder engagement. The conclusion emphasizes continuous assessment, feasibility studies, and commitment as essential steps in advancing occupational medicine through big data analysis.
収録刊行物
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- Journal of UOEH
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Journal of UOEH 46 (1), 113-118, 2024-03-01
学校法人 産業医科大学
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詳細情報 詳細情報について
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- CRID
- 1390017986967064960
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- NII書誌ID
- AN0009832X
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- ISSN
- 21872864
- 0387821X
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- NDL書誌ID
- 033421777
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- PubMed
- 38479865
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- PubMed
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- 抄録ライセンスフラグ
- 使用不可