Expert-driven medical records and insights streamlining the entire care workflow.​

Powered by medical expertise, ASUS Clinical AI Assistant generates explainable clinical summaries and documentation, while offering coding, examination, and treatment recommendations. It streamlines documentation and enhances efficiency across the entire care journey.​

Use Case

Harnessing large language models and generative AI technologies, ASUS Clinical AI Assistant​ intelligently synthesizes outpatient, inpatient, and emergency encounter data—including test results, vital signs, and interview records—to automatically produce outpatient, admission, progress, discharge, and handover notes for clinicians. The solution significantly enhances medical documentation quality, clinical efficiency, and decision support, allowing healthcare teams to focus on patient care.

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Seamless HIS Integration

With deep HIS/EMR integration and real-time data retrieval, clinicians can instantly generate customizable clinical documents in one click

Intelligent Summaries with Alerts​

Real-time summaries provide instant case insight, with AI providing flagged abnormalities and tailored diagnoses and treatments recommendations

Explainable and Traceable AI Outputs

All summaries and clinical recommendations include source citations linked to the original medical record, ensuring full traceability and explainability​

Virtual Assistant for Deeper Insights​

Use natural language to explore medical records, probe condition changes, uncover hidden issues, and generate clinical documentation with conversational AI assistant​

獨家 NLU 技術 大解密

獨家開發 ALFER-BERT 模型,打造領先的自然語言理解技術 (NLU),可以分析全篇病歷,從非結構化資料中萃取出醫療場景及臨床路徑的相關字詞,並動態式推薦相對應的 ICD-10 編碼。

Data Security and integrity

ASUS Intelligent Cloud Services (AICS) has obtained ISO 27001, ISO 27701, ISO 27017, ISO 27018 certifications for information security management, aligning with the latest and most advanced international standards and regulations. Additionally, AICS has passed the Health Insurance Portability and Accountability Act (HIPAA) compliance assessment.

ISO 27001 for Information Security Management
ISO 27701 for Privacy Information Management
ISO 27017 for Information Security Control for Cloud Services
ISO 27018 for Personally Identifiable Information (PII) Protection in Public Clouds
「有 AICS 卓越的 NLU 技術做後盾,只要幾個點擊就能輕鬆完成編碼,幫助疾分人員更專注於輔助醫師完善臨床診斷處置的病歷寫作,更能提升 DRG 費用管控效率。」

賴淑芬 主任
彰化基督教醫院 - 病歷資訊管理部
病歷資訊管理學會 常務理事

 • 導入兩個月疾分員使用率迅速提升至 80%
 • 導入三個月即與人工編碼結果相近
 • 協助疾分員達到編碼一致率 99.4%


「Miraico 能大幅提升編碼效率、幫助資淺疾分員學習資深前輩的編碼模式、減少人為遺漏,快速提升完整性 。 透過人機協同合作能有效精準地完成編碼,讓醫事人員專注於提升病歷品質,進而提升醫院整體營運效能。」
林玲珠 主任
花蓮慈濟醫院 - 醫事室
病歷資訊管理學會 委員

 • 住院編碼效率提升 200%
 • 83% 疾分師喜愛 AI 自動推薦診斷碼功能
 • 幫助疾分團隊編碼一致率高達 97.5%​
 • 醫療術語關鍵字推薦,準確度高達92.8% 
 • 100% 編碼,一鍵存回 HIS

「很高興與華碩合作使用 Miraico 智慧編碼技術推動電子病歷創新,不僅榮獲 2020 年國家新創二項大獎,更有效降低醫療成本、提升醫院營運效率與品質指標。未來期待住中全面導入 AI 編碼,幫助疾分員將時間運用在更重要的出院申報及專業知識補充。」
林素真 組長
中山醫學大學附設醫院 - 病歷室
病歷資訊管理學會 副秘書長

AI 與 2015 年導入人工住中編碼成效相當:
 • 縮短平均住院日 4%
 • 疾病嚴重度提升 8%
 • DRG 的住中及申報一致率超過 85%
 • 疾病分類員的一致率由 95% 提升至 98%

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