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    RISS 인기검색어

      Development and Implementation of Electronic Health Record–Integrated Model‐Informed Clinical Decision Support Tools for the Precision Dosing of Drugs

      한글로보기

      https://www.riss.kr/link?id=O112769197

      • 저자
      • 발행기관
      • 학술지명
      • 권호사항
      • 발행연도

        2020년

      • 작성언어

        -

      • Print ISSN

        0009-9236

      • Online ISSN

        1532-6535

      • 등재정보

        SCI;SCIE;SCOPUS

      • 자료형태

        학술저널

      • 수록면

        129-135   [※수록면이 p5 이하이면, Review, Columns, Editor's Note, Abstract 등일 경우가 있습니다.]

      • 구독기관
        • 전북대학교 중앙도서관  
        • 성균관대학교 중앙학술정보관  
        • 부산대학교 중앙도서관  
        • 전남대학교 중앙도서관  
        • 중앙대학교 서울캠퍼스 중앙도서관  
        • 인천대학교 학산도서관  
        • 숙명여자대학교 중앙도서관  
        • 서강대학교 로욜라중앙도서관  
        • 충남대학교 중앙도서관  
        • 한양대학교 백남학술정보관  
        • 이화여자대학교 중앙도서관  
        • 고려대학교 도서관  
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      부가정보

      다국어 초록 (Multilingual Abstract)

      Imagine it is 2030, and the drug label is in the cloud, is interactive, and can provide model‐informed precision dosing support based on an individual's genomic and physiologic makeup that is uploaded via a user‐friendly interface. Precision medicine has vastly improved our ability to provide tailored therapeutics, and groundbreaking advances in noninvasive systems have generated smart wearable devices that can follow our physiologic state and drug exposure in real time. One device consists of a microfluidic drug biosensor with a transmitter attached to the skin and a mobile app that displays concentration values and trends while issuing alerts and providing suggestions on dose changes when out of range. This sounds compelling, but why has model‐informed precision dosing not yet become common clinical reality in 2020?
      번역하기

      Imagine it is 2030, and the drug label is in the cloud, is interactive, and can provide model‐informed precision dosing support based on an individual's genomic and physiologic makeup that is uploaded via a user‐friendly interface. Precision medic...

      Imagine it is 2030, and the drug label is in the cloud, is interactive, and can provide model‐informed precision dosing support based on an individual's genomic and physiologic makeup that is uploaded via a user‐friendly interface. Precision medicine has vastly improved our ability to provide tailored therapeutics, and groundbreaking advances in noninvasive systems have generated smart wearable devices that can follow our physiologic state and drug exposure in real time. One device consists of a microfluidic drug biosensor with a transmitter attached to the skin and a mobile app that displays concentration values and trends while issuing alerts and providing suggestions on dose changes when out of range. This sounds compelling, but why has model‐informed precision dosing not yet become common clinical reality in 2020?

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      동일학술지(권/호) 다른 논문

      • ASCPT News

        • John Wiley & Sons Ltd
        • unknown
        • 2020
        • SCI;SCIE;SCOPUS
      • Highlights

        • John Wiley & Sons Ltd
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        • 2020
        • SCI;SCIE;SCOPUS
      • In This Issue

        • John Wiley & Sons Ltd
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        • SCI;SCIE;SCOPUS
      • Issue Information

        • John Wiley & Sons Ltd
        • unknown
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        • SCI;SCIE;SCOPUS

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