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醫學和生命科學領域的DataSphere趨勢監控

Monitoring the Pulse of the Healthcare and Life Science DataSphere

出版商 IDC 商品編碼 969327
出版日期 內容資訊 英文 14 Pages
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價格
醫學和生命科學領域的DataSphere趨勢監控 Monitoring the Pulse of the Healthcare and Life Science DataSphere
出版日期: 2020年11月05日內容資訊: 英文 14 Pages
簡介

在醫療保健和生命科學領域,由於諸如精密醫學,基因組學和診斷成像技術的進步,電子海圖(EHR)的普及以及醫療物聯網和移動醫療設備的快速增長等因素,無法獲得結構數據。兩種結構化數據都呈指數增長。醫學和生命科學領域的DataSphere(數據總量)約佔所有行業的7%,但考慮到其重要性,可以說這是一個應該優先處理的領域。

該報告分析了DataSphere的趨勢-全球醫學和生命科學領域中新數據創建/獲取/複製過程的規模,並預測了整體數據生成/處理量和數據內容的趨勢。我們將為您提供有關其他詳細趨勢,未來市場機會和要解決的問題以及未來市場趨勢的信息。

執行快照

新的市場趨勢和動態

  • 簡介
    • 在醫學和生命科學領域中DataSphere的計算
    • 醫學和生命科學領域的DataSphere數據結構
      • 娛樂以外的圖像數據
      • 生產力/物聯網數據
      • 語音數據
    • 醫療和生命科學行業中的數據挑戰
      • 長期數據管理和安全性
    • 分佈式數據管理
      • 數據的重要屬性
    • 投資IT/技能:低優先級
    • 醫療和生命科學行業的數據機會
      • IT基礎架構更新
      • 分析與人工智能(AI)
      • RWE(現實世界證據)和個性化醫學
      • 用於保護隱私和電子海圖(EHR)信譽的區塊鏈
      • 通過全方位數據分析實現數字化前門和個性化藥品

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參考

  • 相關研究
  • 摘要
目錄
Product Code: US45415720

This IDC Market Perspective leverages the 2020 Global DataSphere to analyze, calculate, and report on the state of data for the healthcare and life science industry. Key data challenges and opportunities are identified. "Advances in precision medicine, genomics, and imaging, along with the widespread adoption of electronic health records and the proliferation of medical IoT and mobile devices, are resulting in an exponential explosion of structured and unstructured data," states Lynne A. Dunbrack, group vice president, Public Sector."IDC estimates that the healthcare and life science DataSphere represents just over 7% of the enterprise DataSphere, which consists of all industries," states Dave Reinsel, senior vice president, IDC's Global DataSphere. "We anticipate a growing share with all the emerging healthcare data trends but also note the critical state of data management necessitating a change in data management priorities across the industry."

Executive Snapshot

New Market Developments and Dynamics

  • Introduction
    • Calculating the Healthcare and Life Science DataSphere
    • The Makeup of the Data in the Healthcare and Life Science DataSphere
      • Non-Entertainment Image Data
      • Productivity/IoT Data
      • Voice
    • The Data Challenges for the Healthcare and Life Science Industry
      • Long-Term Data Management and Security
    • Disaggregated Data Management
      • Critical Nature of Data
    • Lower Investment Priorities in IT and Skill Sets
    • The Data Opportunities for the Healthcare and Life Science Industry
      • A More Modern IT Infrastructure
      • Analytics and AI
      • Real-World Evidence and Personalized Medicine
      • Blockchain for Privacy and Veracity of EHRs
      • 360-Degree Data Views to Enable the Digital Front Door and Personalized Care

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