Continuous Accessibility Validation for Healthcare Web Applications Using AI-Driven CI/CD Integration
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| Format: | Recurso digital |
| Langue: | anglais |
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2023
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| _version_ | 1866902088639840256 |
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| author | Butra, Lokesh Chintham, Siva Kumar Ramineni, Vishnu Saksena, Nitin Agarwal, Akash Kumar Bidkar, Darshan Mohan Pothineni, Balakrishna Maruthavanan, Durgaraman |
| author_facet | Butra, Lokesh Chintham, Siva Kumar Ramineni, Vishnu Saksena, Nitin Agarwal, Akash Kumar Bidkar, Darshan Mohan Pothineni, Balakrishna Maruthavanan, Durgaraman |
| contents | <p>Healthcare web applications such as patient portals, telehealth systems, and medication management platforms increasingly rely on continuous deployment practices, yet accessibility validation remains largely dependent on rule-based testing tools with limited detection capability. This paper presents HEALTHA11Y, an AI-driven accessibility validation framework designed for continuous integration and continuous deployment (CI/CD) environments in healthcare software systems. The framework combines a fine-tuned DistilBERT semantic analyzer, a convolutional neural network for visual contrast inspection, and a graph neural network for DOM structure evaluation to identify WCAG 2.1 accessibility violations in healthcare web interfaces. To support evaluation, a domain-specific dataset containing 3,420 annotated healthcare web pages was constructed across patient portals, telehealth interfaces, and pharmacy systems. Experimental results demonstrate that HEALTHA11Y achieves a macro-averaged F1-score of 0.863 and ROC-AUC of 0.924, significantly outperforming traditional rule-based accessibility testing tools. The framework maintains an average CI/CD validation latency of 4.3 seconds per page, enabling practical deployment as an automated accessibility gate within modern healthcare software pipelines. The proposed approach provides a scalable mechanism for continuous accessibility governance, improving the reliability of accessibility compliance verification in regulated digital healthcare environments.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20249909 |
| institution | Zenodo |
| language | eng |
| publishDate | 2023 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Continuous Accessibility Validation for Healthcare Web Applications Using AI-Driven CI/CD Integration Butra, Lokesh Chintham, Siva Kumar Ramineni, Vishnu Saksena, Nitin Agarwal, Akash Kumar Bidkar, Darshan Mohan Pothineni, Balakrishna Maruthavanan, Durgaraman Accessibility validation CI/CD integration Automated compliance testing Data Integration <p>Healthcare web applications such as patient portals, telehealth systems, and medication management platforms increasingly rely on continuous deployment practices, yet accessibility validation remains largely dependent on rule-based testing tools with limited detection capability. This paper presents HEALTHA11Y, an AI-driven accessibility validation framework designed for continuous integration and continuous deployment (CI/CD) environments in healthcare software systems. The framework combines a fine-tuned DistilBERT semantic analyzer, a convolutional neural network for visual contrast inspection, and a graph neural network for DOM structure evaluation to identify WCAG 2.1 accessibility violations in healthcare web interfaces. To support evaluation, a domain-specific dataset containing 3,420 annotated healthcare web pages was constructed across patient portals, telehealth interfaces, and pharmacy systems. Experimental results demonstrate that HEALTHA11Y achieves a macro-averaged F1-score of 0.863 and ROC-AUC of 0.924, significantly outperforming traditional rule-based accessibility testing tools. The framework maintains an average CI/CD validation latency of 4.3 seconds per page, enabling practical deployment as an automated accessibility gate within modern healthcare software pipelines. The proposed approach provides a scalable mechanism for continuous accessibility governance, improving the reliability of accessibility compliance verification in regulated digital healthcare environments.</p> |
| title | Continuous Accessibility Validation for Healthcare Web Applications Using AI-Driven CI/CD Integration |
| topic | Accessibility validation CI/CD integration Automated compliance testing Data Integration |
| url | https://doi.org/10.5281/zenodo.20249909 |