Judicial Dilemmas and Solutions in Product Liability Disputes Involving Medical Products for the Elderly
An Empirical Analysis Based on 237 Judicial Rulings
DOI:
https://doi.org/10.54691/masfcr62Keywords:
Senior citizens; medical product liability; judicial rulings; empirical research; influencing factors.Abstract
With the continuous ageing of China's population, more older people are needing to use medical products frequently and thus have risen the number of related liability disputes. In accordance with the provisions of Article 1223 of the Civil Code, this paper will conduct an empirical study on 237 judicial judgments in cases of medical product liability involving the elderly to explore the characteristics of these judgments systematically. In this paper, methods of description and correlation analysis, chi-square tests, and regression models will be employed to build a multi-dimensional system of variables that covers product attributes, context of medical application, participants in civil disputes, procedures, etc. Empirically, the nature of the expert opinion and the seriousness of the damage are the reasons why liability is imposed in this way. Specific to older people, there are other reasons why the products are not suitable or why the consent form is unclear; all of them have a relatively small negative impact. Multiple linear regression shows that the above factors are also positively correlated with the amount of compensation paid. To solve the problems of ambiguity in the identification of age-related factors, insufficient targeting of expert assessments, and inconsistency in compensation standards for judicial rulings, this paper proposes the following suggestions: increase the statutory weight of age factors in determining liability, standardise the special assessment and application rules for judicial appraisals involving older persons, and unify the quantitative standards for compensation discretion and interest balancing mechanisms.
Downloads
References
[1] Ketsekioulafis, I., Katsos, K., Kolentinis, C., Sapka, T., Spiliopoulou, C., Lytras, T., & Arkadopoulos, N. (2026). Civil medical liability in general surgery: A systematic review. Surgery Open Science, 32, 19–30.
[2] Faure, M. G., & Visscher, L. T. (2026). Medical liability under limited resources: A law and economics perspective. Medical Law International, 26(2), 93–114.
[3] Middendorf, M., & Marzinkowski, V. (2026). Legal responsibility in AI-assisted radiological reporting. Radiologie, 1–7. (Prepublish)
[4] Ministeri, F., Esposito, M., Francaviglia, M., Di Mauro, L., Pantè, G. G., Salerno, M., & Sessa, F. (2026). Generative artificial intelligence in forensic medicine: A pilot study on AI-simulated medico-legal reports in healthcare liability cases. International Journal of Legal Medicine, 1–11. (Prepublish)
[5] Zandotti, B., & Chêne, G. (2026). Prescription of drugs: The physician's duty to inform and medical liability, a complex and essential medico-legal obligation. Gynecologie, Obstetrique, Fertilite & Senologie, 54(4), 185–186.
[6] Bérar, A., Allain, J. S., & Bouvet, R. (2026). Could ChatGPT and Co. replace forensic experts? A comparative study on medical liability expertise. International Journal of Legal Medicine, 1–9. (Prepublish)
[7] İpek, B. M., & Akıncı, E. (2026). WHO is responsible? Towards the normativity of AI-driven BCI technologies in product liability in healthcare. AI & SOCIETY, 1–22. (Prepublish)
[8] Wang, R., Zhou, X., Su, L., & Qu, G. (2026). Autopsy findings of inferior vena cava filter perforation: A forensic analysis of retroperitoneal hemorrhage and medical liability. Forensic Science, Medicine and Pathology, 1–5. (Prepublish)
[9] Müller, C. S. L., Hansen, T., & Renzelmann, C. (2026). Defensivmedizin im dermatologischen alltag – Die dermatopathologie als spiegel struktureller probleme. JDDG: Journal der Deutschen Dermatologischen Gesellschaft, 24(3), 302–317.
[10] Académie Nationale de Médecine. (2026). Communiqué: Intelligence artificielle et responsabilité médicale. Bulletin de l'Académie Nationale de Médecine, 210(2), 91–92.
[11] De Giorgio, F., Benedetti, B., Carbone, L., & Ralli, M. (2026). Commentary: Taking care of people experiencing homelessness: A community case study on the practice of the volunteer association "A Doctor for You" in Brescia, Italy. Frontiers in Public Health, 13, 1725760.
[12] Lecomte, D., Latrille, C. F. R., & Groupe de Travail de la Commission 5 de l'Académie Nationale de Médecine. (2026). Rapport 25-12. Intelligence artificielle et responsabilité médicale. Quels enjeux? Bulletin de l'Académie Nationale de Médecine, 210(1), 3–9.
[13] James, R. I., Nandimath, O. V., Jayasankar, B., & Thomas, A. (2026). Rethinking medical liability in India: Supreme Court's call for judicial review and ongoing uncertainty. Indian Journal of Medical Ethics, XI(1), 41–44.
[14] Hagström, L. T., & Othman, Z. (2025). From principles to practice: User inclusion in responsible innovation for digital healthcare. Journal of Responsible Innovation, 12(1).
[15] Cecchi, R., Calabrò, F., Camatti, J., Santunione, A. L., Sperti, M., Zizzi, E. A., & Deriu, M. A. (2026). Artificial intelligence in healthcare: Proposal for a new medico-legal methodology in medical liability. Legal Medicine, 80, 102764.
[16] Tan, I. J., Zieneldien, T., Ma, S., & Grant Kels, J. M. (2025). Use of artificial intelligence for dermatologic diagnosis: Ethical issues with integration of new technologies. Journal of the American Academy of Dermatology, 94(5), e339–e340.
[17] Alqurashi, M. A. (2025). HPR161 physicians' knowledge, attitude, and practice regarding medical liability: A study in Saudi Arabia. Value in Health, 28(12S1), S352–S353.
[18] Ketsekioulafis, I., Katsos, K., Kouzos, D., Spiliopoulou, C., Lytras, T., & Sakelliadis, E. I. (2025). Medical liability related legislation and insurance policies around the world: A narrative literature review. Journal of Forensic and Legal Medicine, 117, 103040. https://doi.org/10.1016/j.jflm.2025.103040
[19] Grasso, I., Barranco, R., Ferrero, S., & Ventura, F. (2025). Medico-legal litigation in obstetrics and gynecology: An eleven-year case series and comparison of out-of-court resolution and legal proceedings. European Journal of Obstetrics, Gynecology, and Reproductive Biology, 316, 114795. https://doi.org/10.1016/j.ejogrb.2025.114795
[20] Stratman, S., & Ensslin, C. (2025). State and federal malpractice litigation of medical liability claims involving Mohs surgery, 1988 to 2024. Dermatologic Surgery.
[21] Nioi, M., Napoli, P. E., Nieddu, D., Chighine, A., Carai, A., & d'Aloja, E. (2025). From routine to risk: Medical liability and the legal implications of cataract surgery in the age of trivialization. Journal of Clinical Medicine, 14(19), 6838.
[22] Fairgrieve, D., Feldschreiber, P., Howells, G., & Pilgerstorfer, M. (2020). Products in a pandemic: Liability for medical products and the fight against COVID-19. European Journal of Risk Regulation, 11(3), 565–603. https://doi.org/10.1017/err.2020.31
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Scientific Journal Of Humanities and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.





