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Healthcare Software Testing – AI-based Testing with testRigor

Blog post from testRigor

Post Details
Company
Date Published
Author
Anushree Chatterjee
Word Count
1,703
Language
English
Hacker News Points
-
Summary

Technological advancements are significantly impacting the healthcare sector, with various technologies such as AI, ML, NLP, big data, and cloud computing being utilized to enhance patient care, improve operational efficiency, and support medical research. The need for thorough healthcare software testing is emphasized due to the critical nature of the industry and stringent regulatory requirements like HIPAA and GDPR. Key testing areas include electronic health records, telemedicine platforms, and medical administrative systems, focusing on functional, usability, compliance, and security aspects. Automation tools like testRigor, which use AI-driven methodologies, are transforming healthcare testing by offering features such as negligible test maintenance, no-code test creation, cross-platform testing, and data-driven testing, thus ensuring high-quality applications and reducing the burden of manual testing. TestRigor's ability to adapt to changes through self-healing capabilities and its compliance with security standards make it an effective solution for maintaining robust healthcare applications.