Using Artificial Intelligence to Address Accessibility Gaps in Legacy Healthcare Portals
Using Artificial Intelligence to Address Accessibility Gaps in Legacy Healthcare Portals
Publish Date: 2026-04-01 04:11:00
Source Domain: aijourn.com
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Legacy vs. Modern Systems: Older healthcare digital systems face issues due to outdated frontend code that doesn’t comply with current usability, accessibility, or maintainability standards.
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Impact of System Issues: Difficulty navigating these systems directly affects patients’ ability to use critical digital services, posing broader implications beyond mere technical dysfunction.
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Research on AI-Enhanced Refactoring: Ashok Vootla’s study in the Journal of Information Systems Engineering and Management proposes using AI for systematic accessibility remediation in healthcare portals.
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Focus on Accessibility: The study positions accessibility as an integral engineering problem addressed realistically via AI-assisted code refactoring using natural language processing within React and Angular components.
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AI-Driven Accessibility Improvements: The AI model identified and corrected approximately 81% of ARIA and semantic HTML errors in examined healthcare portals, offering practical and scalable solutions.
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Practical Relevance of Modernisation: The study suggests that AI can help healthcare systems modernize without requiring complete system overhauls, aiding in maintaining continuity in vital services.
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Combining AI with Expertise: The study emphasizes using AI as a tool to assist engineers, acknowledging some cases where human review is still necessary for dynamic content and specific design constraints.
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Broader Accessibility Challenge: As healthcare expands digital services, ensuring usability, accessibility, and maintainability becomes crucial; AI can play a significant role in addressing these persistent issues effectively.
