Clinical reports: from hours
to 75 seconds.
A neurological care clinic previously spent hours of senior-clinician time on every brain-signal assessment report. SHIOQ delivered an end-to-end AI reporting platform in 8 weeks — cutting AI costs by 68%, accelerating processing 16×, and meeting HIPAA-grade privacy standards.
Manual review could not scale
Identifying disorder patterns from patients' brain-signal assessments depended entirely on senior clinicians reviewing each case by hand: hours per case, senior staff required for every report, and no way to scale as the clinic grew. Report parsing reliability sat at roughly 75% — one in four reports needed manual correction. The clinic did not need another tool; it needed an automated pipeline from assessment data to professional report, compliant with local privacy law and international-grade healthcare privacy standards.
An end-to-end AI reporting platform
The platform SHIOQ built automates the full pipeline: assessment data processing → bilingual (Chinese / English) clinical insight generation → professional report rendering.
Pattern analysis across 16 clinical conditions
The AI surfaces disorder patterns that previously required line-by-line clinician review, across 16 clinical conditions — freeing senior clinicians for verification and clinical judgement rather than repetitive reading.
Multi-provider AI routing
The system routes across multiple AI providers automatically — failing over when any provider degrades, and continuously optimising for cost. This routing is what drove the 68% AI cost reduction.
Enterprise-grade privacy and security
The platform meets HIPAA-grade privacy requirements, with an enterprise-grade security audit framework — scoring 9.5/10 in an independent cloud security assessment.
Measurable business outcomes
Have a manual process that cannot scale?
Start with a free 30-minute conversation. SHIOQ's Pilot delivers a working AI workflow on your own data in 7 days — fixed price, full refund if the success criteria are not met.
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