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篇名
人工智慧在藥事照護的實務運作──處方箋AI辨識效果、驗證與結果
並列篇名
Practical Operation of Artificial Intelligence in Pharmacy Services-Prescription identification of Effects, Verification, and Outcomes
作者 黃瀚諄莊曉雯
中文摘要
背景:在台灣醫藥分業之後,病患看診完必須攜帶自己處方箋,至藥局請藥師調劑,並讓藥師交付藥品而使用。藥師有責任評估藥物的重複性、交互作用狀態以及與醫生的溝通紀錄,以協助病患達到藥物服務的最佳化和照護資源的整合。然而,在藥師調劑過程中,處方箋是藥師調劑時的用藥依據,目前的處方箋為紙本處方,不易記錄病患的藥物處方資訊,主要是因為一張處方箋所需要呈現的用藥訊息複雜且多樣。目標:使用AI光學識別和AI類神經網路機器學習技術,識別處方箋和藥物資訊的細節,並建立一個光學識別人工智慧系統和藥事照護資料庫,以允許藥師執行調劑服務時,即時記錄準確的病患用藥資訊並提供更精確的藥事照護。方法:本研究與藥師公會合作,由藥師公會進行藥物處方收集,以提供人工智慧識別學習,以及研究和開發成果的驗證和運營使用。結果:人工智慧的技術深化到藥事照護領域,使用人工智慧識別技術,加強藥師的藥物判斷、合作和居家照護服務的執行,並建立全國標準化的醫療整合數據庫,作為台灣醫療資源的整合具有跨服務台作的基礎。
英文摘要
Background: In Taiwan, following the separation of dispensing from medical practice, patients are required to carry their prescriptions to pharmacies where pharmacists dispense and provide medications. Pharmacists are responsible for evaluating medication redundancy, drug interactions, and communication records with doctors to optimize pharmaceutical services and integrate healthcare resources. However, during the dispensing process, the prescription, currently in paper form, serves as the basis for medication dispensing, making it challenging to record detailed patient medication information due to the complexity and variety of information required on a single prescription. Objective: The goal is to use AI optical recognition and AI neural network machine learning technologies to identify the details of prescriptions and medication information. The aim is to establish an optical recognition AI system and a pharmaceutical care database, enabling pharmacists to record accurate patient medication information in real-time during dispensing services and provide more precise pharmaceutical care. Method: This study collaborates with the Pharmacist Association, which collects drug prescriptions for AI recognition learning, and for validating and operating the research and development outcomes. Results: The application of AI technology deepens in the pharmaceutical care field. By using AI recognition technology, pharmacists' medication judgment, collaboration, and home care services are enhanced. Additionally, a standardized national healthcare integration database is established, serving as a foundation for integrated healthcare resources in Taiwan with cross-service collaboration.
起訖頁 37-44
關鍵詞 藥事照護人工智慧行動醫療類神經網路光學辨識Pharmaceutical CareArtificial IntelligenceMobile HealthcareNeural NetworksOptical Recognition
刊名 醫療資訊雜誌  
期數 202312 (32:4期)
出版單位 臺灣醫學資訊學會
該期刊-上一篇 以科技接受模式探討資料視覺化在血液透析中心之應用:東部某區域教學醫院為例
 

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