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Enhancing Traditional Medicine Access: QA Solution for TCM Mobile App

Overview

TCM Clinic Aid is a mobile platform that supports Traditional Chinese Medicine practitioners with tools for accurate diagnosis, treatment reference, and symptom mapping.

Project Goals

TCM Mobile Aid aimed to improve guide reliability, app performance, and search usability in order to retain users and expand its reach. The QA goal was to validate offline support, reduce content gaps, and ensure consistent performance across platforms—especially in low-bandwidth or budget device scenarios.

Challenges

Before QA intervention, the app struggled with real-world clinical adoption due to several business-impacting issues:

  • Syncing failures between devices and cloud caused inconsistent patient records, disrupting clinic workflows
  • Frequent crashes during high usage periods led to poor reliability and loss of user trust
  • Diagnostic tool logic produced inconsistent suggestions, affecting clinical confidence
  • Navigation confusion and inconsistent terminology reduced usability and practitioner retention

These issues limited the app’s ability to scale in live clinical settings and weakened practitioner confidence.

Testiva’s Solutions

Testiva implemented a comprehensive QA strategy tailored to the needs of clinical environments:

  • Simulated consultation interruptions and multi-session flows to uncover edge-case bugs
  • Conducted data integrity testing to ensure consistent patient record syncing
  • Ran stability checks across different mobile environments to reduce crash rates
  • Validated the clinical accuracy of outputs using structured test cases aligned with TCM logic
  • Reported and verified 120+ critical and high-severity issues across staging and production

Results & Impact

Testiva’s intervention significantly improved both functional quality and business readiness:

  • Record syncing issues were reduced by over 90%, restoring practitioner trust in patient data integrity
  • Crash incidents during active sessions dropped by 85%, ensuring smoother, uninterrupted clinical usage
  • Consistency of diagnostic outputs improved by nearly 70%, strengthening practitioner confidence in the app’s logic
  • Usability enhancements led to a 60% increase in practitioner satisfaction across testing groups
  • The app was successfully cleared for broader clinical rollout after completing QA-led stability and accuracy cycles

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