| dc.description.abstract |
Artificial Intelligence (AI) is increasingly integrated into healthcare systems,
transforming medical diagnosis, treatment, and healthcare administration
through data-driven decision-making. While the use of AI in healthcare offers
significant potential for efficiency and improved health outcomes, it
simultaneously raises serious concerns regarding the protection of patient data,
particularly in jurisdictions with developing legal frameworks such as Sri
Lanka, where healthcare information is highly sensitive in nature. The rapid
adoption of AI-enabled healthcare systems presents substantial challenges for
patient data protection in Sri Lanka. These challenges include issues relating
to informed consent, data minimisation, accountability, transparency, and the
regulation of automated decision-making in healthcare. This paper critically
examines whether the existing Sri Lankan legal framework including the
Personal Data Protection Act, adequately addresses the unique risks posed by
the use of AI in healthcare settings. Employing a doctrinal legal methodology,
the study incorporates limited comparative insights drawn from international
data protection regimes, notably the European Union’s General Data
Protection Regulation (GDPR), to identify regulatory gaps and best practices
relevant to the Sri Lankan context. The analysis finds that while Sri Lanka
has taken an important step towards establishing a comprehensive data
protection regime, the current framework lacks explicit AI-specific safeguards
necessary to ensure patient autonomy, meaningful consent, and accountability
in AI-driven healthcare decision-making. The paper argues that Sri Lanka
must rethink its approach to healthcare data protection by adopting AIsensitive
regulatory responses. It recommends the introduction of sectorspecific
guidelines for AI in healthcare, enhanced safeguards for automated
decision-making, stronger consent and transparency requirements, and clearer
accountability mechanisms for AI developers and healthcare institutions. Such
reforms are essential to strengthening public trust in digital healthcare systems
and ensuring the ethical and lawful use of AI in protecting patient data in Sri
Lanka. |
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