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Secondary Use of Health Data for Medical AI: A Cross-Regional Examination of Taiwan and the EU

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Abstract

This paper conducts a comparative analysis of data governance mechanisms concerning the secondary use of health data in Taiwan and the European Union (EU). Both regions have adopted distinctive approaches and regulations for utilizing health data beyond primary care, encompassing areas such as medical research and healthcare system enhancement. Through an examination of these models, this study seeks to elucidate the strategies, frameworks, and legal structures employed by Taiwan and the EU to strike a delicate balance between the imperative of data-driven healthcare innovation and the safeguarding of individual privacy rights. This paper examines and compares several key aspects of the secondary use of health data in Taiwan and the EU. These aspects include data governance frameworks, legal and regulatory frameworks, data access and sharing mechanisms, and privacy and security considerations. This comparative exploration offers invaluable insights into the evolving global landscape of health data governance. It provides a deeper understanding of the strategies implemented by these regions to harness the potential of health data while upholding the ethical and legal considerations surrounding its secondary use. The findings aim to inform best practices for responsible and effective health data utilization, particularly in the context of medical AI applications.

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References

  • Bonomi, Luca, Yingxiang Huang, and Lucila Ohno-Machado. 2020. Privacy challenges and research opportunities for genomic data sharing. Nature Genetics 52 (7): 646–654. https://doi.org/10.1038/s41588-020-0651-0.

    Article  Google Scholar 

  • Carter, Pam, Graeme T. Laurie, and Mary Dixon-Woods. 2015. The social licence for research: why care.data ran into trouble. Journal of Medical Ethics 41 (5): 404–409. https://doi.org/10.1136/medethics-2014-102374.

  • Carvalho, Artur Potiguara et al. 2020. Big Data, anonymisation and governance to personal data protection. In The 21st Annual International Conference on Digital Government Research.

  • Chen, Po-Yen. 2019. The emerging applications of intelligent computing on medical images in National Health Insurance Database. In 2019 International Conference on Intelligent Computing and its Emerging Applications (ICEA). IEEE.

    Google Scholar 

  • Chronaki, Catherine E. 2021. FAIR health data and HL7 FHIR in the European health data space. Applied Medical Informatics 43 (Suppl S1): 2–2.

    Google Scholar 

  • European Commission. 2022. European Health Union: a European health data space for people and science. European Commission Press Release, 3 May 2022. https://ec.europa.eu/commission/presscorner/detail/en/ip_22_2711. Accessed 30 Sep 2023.

    Google Scholar 

  • Haibe-Kains, Benjamin, George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, Massive Analysis Quality Control (MAQC) Society Board of Directors, Levi Waldron, et al. 2020. Transparency and reproducibility in artificial intelligence. Nature 586 (7829): E14–E16. https://doi.org/10.1038/s41586-020-2766-y.

  • Hendolin, Minna. 2022. Towards the European health data space: from diversity to a common framework. Eurohealth 27 (2): 15–17.

    Google Scholar 

  • Horn, Ruth, and Angeliki Kerasidou. 2020. Sharing whilst caring: solidarity and public trust in a data-driven healthcare system. BMC Medical Ethics 21 (1): 1–7. https://doi.org/10.1186/s12910-020-00553-8.

    Article  Google Scholar 

  • Johnson, Kevin B., Wei-Qi Wei, Dilhan Weeraratne, Mark E. Frisse, Karl Misulis, Kyu Rhee, Juan Zhao, and Jane L. Snowdon. 2021. Precision medicine, AI, and the future of personalized health care. Clinical and Translational Science 14 (1): 86–93. https://doi.org/10.1111/cts.12884.

    Article  Google Scholar 

  • Kerasidou, Angeliki, and Charalampia Kerasidou. 2023. Data-driven research and healthcare: public trust, data governance and the NHS. BMC Medical Ethics 24 (1): 51. https://doi.org/10.1186/s12910-023-00922-z.

    Article  Google Scholar 

  • Knoppers B. M. 2014. Framework for responsible sharing of genomic and health-related data. The HUGO Journal 8 (1): 3.

  • Kohl, Stephanie. 2022. European Health Data Space proposal launched. European Journal of Hospital Pharmacy 29 (4): 240–240. https://doi.org/10.1136/ejhpharm-2022-003413.

    Article  Google Scholar 

  • Marcus, J. Scott, Bertin Martens, Christophe Carugati, Anne Bucher, and Ilsa Godlovitch. 2022. The European Health Data Space. Luxembourg: European Parliament. https://www.europarl.europa.eu/RegData/etudes/STUD/2022/740054/IPOL_STU(2022)740054_EN.pdf. Accessed 8 Jan 2024.

    Google Scholar 

  • Meszaros, Janos, and Chih-hsing Ho. 2019. Building trust and transparency? Challenges of the opt-out system and the secondary use of health data in England. Medical Law International 19 (2–3): 159–181. https://doi.org/10.1177/0968533219879975.

    Article  Google Scholar 

  • Meszaros, Janos, and Chih-hsing Ho. 2021. AI research and data protection: can the same rules apply for commercial and academic research under the GDPR? Computer Law & Security Review 41: 105532. https://doi.org/10.1016/j.clsr.2021.105532.

  • Molnár-Gábor, Fruzsina, Julian Sellner, Sophia Pagil, Santa Slokenberga, Olga Tzortzatou-Nanopoulou, and Katarina Nyström. 2022. Harmonization after the GDPR? Divergences in the rules for genetic and health data sharing in four member states and ways to overcome them by EU measures: insights from Germany, Greece, Latvia and Sweden. Seminars in Cancer Biology 84: 271–283. https://doi.org/10.1016/j.semcancer.2021.12.001.

  • O’Doherty, Kieran C., Mahsa Shabani, Edward S. Dove, Heidi Beate Bentzen, Pascal Borry, Michael M. Burgess, et al. 2021. Toward better governance of human genomic data. Nature Genetics 53 (1): 2–8. https://doi.org/10.1038/s41588-020-00742-6.

  • Pagallo, Ugo. 2022. The politics of data in EU Law: Will it succeed? Digital Society 1 (3): 20. https://doi.org/10.1007/s44206-022-00021-3.

    Article  Google Scholar 

  • Phillips, Mark, and Bartha M. Knoppers. 2016. The discombobulation of de-identification. Nature Biotechnology 34 (11): 1102–1103. https://doi.org/10.1038/nbt.3696.

    Article  Google Scholar 

  • Piel, Frédéric B., et al. 2018. The challenge of opt-outs from NHS data: a small-area perspective. Journal of Public Health 40 (4): e594–e600.

    Article  Google Scholar 

  • Rajpurkar, Pranav, et al. 2022. AI in health and medicine. Nature medicine 28 (1): 31–38.

    Article  Google Scholar 

  • Rehm, Heidi L., et al. 2021. GA4GH: international policies and standards for data sharing across genomic research and healthcare. Cell genomics 1: 2.

    Article  Google Scholar 

  • Shaheen, Mohammed Yousef. 2021. Applications of artificial intelligence (AI) in healthcare: a review. ScienceOpen Preprints.

    Google Scholar 

  • Shabani, Mahsa, and And Muhammed Sami Yilmaz. 2022. Lawfulness in secondary use of health data. Technology and Regulation 2022: 128–134.

    Google Scholar 

  • Shabani, Mahsa. 2022. Will the European Health Data Space change data sharing rules? Science 375 (6587): 1357–1359.

    Article  Google Scholar 

  • TCC Judgment 111-Hsien-Pan-13. 2022. The case on the National Health Insurance Research Database. See official web info: https://cons.judicial.gov.tw/en/docdata.aspx?fid=5248&id=347736. Accessed 8 Jan 2024.

    Google Scholar 

  • Terzis, Petros, and O.E. Santamaria Echeverria. 2023. Interoperability and governance in the European Health Data Space regulation. Medical Law International.

    Book  Google Scholar 

  • Cheng-feng, Wu, and William Hetherington. 2022. Report on ‘Health data access partly unconstitutional: court’, Taipei. Times.

  • Wu, Tai-Yin, Azeem Majeed, and Ken N. Kuo. 2010. An overview of the healthcare system in Taiwan. London Journal Of Primary Care 3 (2): 115–119.

    Article  Google Scholar 

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Funding

This research is partially funded by the National Science and Technology Council (NSTC) of Taiwan with the grant number: 112-2410-H-001-011-MY2.

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Correspondence to Chih-hsing Ho.

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Ho, Ch. Secondary Use of Health Data for Medical AI: A Cross-Regional Examination of Taiwan and the EU. ABR (2024). https://doi.org/10.1007/s41649-024-00279-4

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