Remote monitoring technologies, wearables, IoT, applications, have accelerated a transformation in healthcare in the post-pandemic era. Proactive care models facilitate the management of illnesses outside hospital settings and empower individuals to monitor and influence their health trajectories, thereby enabling informed decision-making. However, technological advancements have not addressed the poverty experienced by millions of Italians, who often forgo treatment due to waiting times and costs. Consequently, new insurance products are being developed to cover medical expenses in cases where the NHS doesn’t provide coverage, or where public medical treatment is delayed. The mentioned technologies have been than implemented to insurance contract, refiguring them into parametric contracts. This reconfiguration appears to reinforce datafication, surveillance capitalism, and existing inequalities, particularly to the detriment of patients. This essay analyses InsurTech strategies, focusing on insurance contracts for medical expenses that are driven by data, to assess their feasibility according to Private and data protection laws.
Le tecnologie per il monitoraggio remoto, i dispositivi indossabili, l’IoT e le applicazioni digitali hanno accelerato la trasformazione dell’assistenza sanitaria nel periodo post‑pandemico. I modelli di cura proattiva favoriscono la gestione delle patologie fuori dalle strutture ospedaliere e consentono agli individui di controllare e orientare i propri percorsi di salute, migliorando la capacità decisionale. Tuttavia, tali progressi non hanno inciso sulla povertà sanitaria che colpisce milioni di italiani, i quali rinunciano alle cure a causa di tempi d’attesa e costi. Ne conseguono nuovi prodotti assicurativi destinati a coprire spese mediche non coperte dal SSN o soggette a ritardi. Le tecnologie menzionate sono integrate nei contratti assicurativi, riconfigurati in forma parametrica. Questa evoluzione intensifica dataficazione, capitalism della sorveglianza e disuguaglianze, incidendo sui pazienti. Il saggio analizza le strategie InsurTech e la sostenibilità dei contratti sanitari data‑driven alla luce del diritto privato e della normativa sulla protezione dei dati.
Perrino, S. (2026). AI-driven Healthcare and Contracts. EUROPEAN JOURNAL OF PRIVACY LAW & TECHNOLOGIES(2025/2), 1-33 [10.57230/EJPLT252SPP].
AI-driven Healthcare and Contracts
Perrino, SP
2026
Abstract
Remote monitoring technologies, wearables, IoT, applications, have accelerated a transformation in healthcare in the post-pandemic era. Proactive care models facilitate the management of illnesses outside hospital settings and empower individuals to monitor and influence their health trajectories, thereby enabling informed decision-making. However, technological advancements have not addressed the poverty experienced by millions of Italians, who often forgo treatment due to waiting times and costs. Consequently, new insurance products are being developed to cover medical expenses in cases where the NHS doesn’t provide coverage, or where public medical treatment is delayed. The mentioned technologies have been than implemented to insurance contract, refiguring them into parametric contracts. This reconfiguration appears to reinforce datafication, surveillance capitalism, and existing inequalities, particularly to the detriment of patients. This essay analyses InsurTech strategies, focusing on insurance contracts for medical expenses that are driven by data, to assess their feasibility according to Private and data protection laws.| File | Dimensione | Formato | |
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AI-driven Healthcare and Contracts _ Assistenza sanitaria e contratti fondati sull’IA _ Perrino _ European Journal of Privacy Law & Technologies.pdf
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