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臨床報告由數小時,
縮短至 75 秒。
Clinical reports: from hours
to 75 seconds.

一間香港神經護理診所,過往每份腦部訊號評估報告均需資深醫師人手判讀數小時。Cenlyio 於 8 週內交付端對端 AI 報告平台 —— AI 成本下降 68%,處理速度提升 16 倍,並符合 PDPO 與 HIPAA 級別私隱標準。 A Hong Kong neurological care clinic previously spent hours of senior-clinician time on every brain-signal assessment report. Cenlyio delivered an end-to-end AI reporting platform in 8 weeks — cutting AI costs by 68%, accelerating processing 16×, and meeting PDPO and HIPAA-grade privacy standards.

挑戰 The Challenge

人手判讀無法擴展 Manual review could not scale

識別患者腦部訊號評估中的病症模式,過往完全依賴資深醫師逐一判讀:每個個案需時數小時、每份報告均需資深人員參與,服務量無法隨診所增長而擴展。報告的解析可靠度亦只有約 75% —— 即每四份報告便有一份需要人手修正。診所需要的不是另一個工具,而是一條由評估數據直達專業報告的自動化管道,且必須符合香港《個人資料(私隱)條例》(PDPO)及國際級醫療私隱標準。 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 the Hong Kong Personal Data (Privacy) Ordinance (PDPO) and international-grade healthcare privacy standards.

解決方案 The Solution

端對端 AI 報告平台 An end-to-end AI reporting platform

Cenlyio 建構的平台將整條流程自動化:評估數據處理 → 雙語(中/英)臨床洞察生成 → 專業排版報告自動輸出。 The platform Cenlyio built automates the full pipeline: assessment data processing → bilingual (Chinese / English) clinical insight generation → professional report rendering.

16 種臨床狀況的模式分析 Pattern analysis across 16 clinical conditions

AI 自動識別過往需要醫師逐行判讀的病症模式,涵蓋 16 種臨床狀況,讓資深醫師專注於覆核與臨床判斷,而非重複性判讀。 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.

多供應商 AI 路由 Multi-provider AI routing

系統自動在多個 AI 供應商之間路由:任何一方故障時自動容錯切換,並持續按成本優化 —— 這正是 AI 成本下降 68% 的關鍵。 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.

企業級私隱與安全 Enterprise-grade privacy and security

全平台符合 PDPO 及 HIPAA 級別私隱要求,並建立企業級安全審核框架,於獨立雲端安全評估中取得 9.5/10 分。 The platform meets PDPO and HIPAA-grade privacy requirements, with an enterprise-grade security audit framework — scoring 9.5/10 in an independent cloud security assessment.

成果 The Results

可量度的業務效益 Measurable business outcomes

68%
AI 成本下降 AI cost reduction
16×
處理速度提升 Processing speedup
60–75s
每份報告生成時間(原需數小時) Per-report generation (from hours)
100%
報告解析可靠度(由 75% 提升) Report parse reliability (from 75%)
9.5/10
獨立雲端安全評分 Independent cloud security score
8 週 8 wks
由概念至投產 Concept to production

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