市場調查報告書

數位轉型 (DX) 使用案例的分類法(2020年):生命科學

IDC's Worldwide Digital Transformation Use Case Taxonomy, 2020: Life Sciences

出版商 IDC 商品編碼 950427
出版日期 內容資訊 英文 22 Pages
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數位轉型 (DX) 使用案例的分類法(2020年):生命科學 IDC's Worldwide Digital Transformation Use Case Taxonomy, 2020: Life Sciences
出版日期: 2020年07月17日內容資訊: 英文 22 Pages
簡介

生命科學的數位轉型的重要性比以往更重要,由於科技的進步,生命科學企業的整體資料、資訊、知識更有效的使用開始合理化。由於數位轉型的配合措施的新進步,縮短投入市場的時間,提高患者的連接性和滿意度等確實證明其價值。

本報告提供數位轉型的使用案例的分類法的調查分析,分類概要,各策略性優先事項分析等系統性資訊。

IDC的全球數位轉型分類法

2020年的數位轉型分類法的變更

分類概要

  • IDC的數位轉型分類法的理解和使用

定義

  • 生命科學
  • 數位任務:知識為基礎的醫學
    • 策略性優先事項:生命科學全方位體驗
      • 全通路的最佳化
      • 患者的參與
      • 智慧實驗室
    • 策略性優先事項:運用規模和靈活性
      • 透明的供應鏈
      • R&D合作基礎設施
      • 整合型臨床平台
      • 生命科學製造的變革
    • 策略性優先事項:資料與資訊的運用
      • 產業資料的學會
      • 臨床資料轉型
      • 社群通訊的有效利用
      • 商用資料轉型
  • IDC數位轉型支出指南

參考資料

  • 相關調查
  • 摘要
目錄
Product Code: US46631519

This IDC study discusses how digital transformation accurately characterizes the life science industry's ongoing efforts to transform itself as it seeks to find new paths to innovation, optimize operational efficiency and effectiveness, and regain long-term sustainability. As in other industries, the digital transformation journey begins with a common definition of the mission, strategic priorities, and programs so that individual projects or use cases can better align with a life science company's overall goals and objectives."Digital transformation in the life sciences is more important than ever, with advances in technology beginning to streamline the more effective use of data, information, and knowledge across the life science enterprise. Where value can be demonstrated, digital transformation initiatives are creating new paths to progress, accelerating time to market and improving patient connectivity and satisfaction," says Alan S. Louie, research director and head, Life Science Practice, IDC Health Insights."Digital transformation in the life science industry is moving forward rapidly. 3rd Platform technologies such as cloud, mobile, big data and analytics, and social data are already woven into the life sciences commercial arena. Emerging technologies like AI and RPA are accelerating productivity for commercial teams by maximizing message impact and relevance while reducing duplicate or confusing interactions with HCPs. In life science supply chains, IoT networks and platforms are enabling tracking and monitoring of sensitive and rare biologic drugs, allowing rapid deployment to patients in critical need around the globe. From the manufacturing floor to doctors' offices, digital technology is improving quality, efficiency, and patient experience," says Michael Townsend, research director, Commercial Life Sciences, IDC Health Insights.

IDC's Worldwide Digital Transformation Taxonomy

Digital Transformation Taxonomy Changes for 2020

Taxonomy Overview

  • Understanding and Using IDC's Digital Transformation Taxonomy

Definitions

  • Life Sciences
  • Digital Mission: Knowledge-Based Medicine
    • Strategic Priority: Life Science Omni-Experience
      • Life Science Omni-Experience Program: Omni-Channel Optimization
      • Life Science Omni-Experience Program: Patient Engagement
      • Life Science Omni-Experience Program: The Smart Laboratory
    • Strategic Priority: Operational Scale and Agility
      • Operational Scale and Agility Program: Transparent Supply Chain
      • Operational Scale and Agility Program: R&D Collaborative Infrastructure
      • Operational Scale and Agility Program: Comprehensive eClinical Platforms
      • Operational Scale and Agility Program: Life Science Manufacturing Transformation
    • Strategic Priority: Operationalizing Data and Information
      • Operationalizing Data and Information Program: Mastering Industry Data
      • Operationalizing Data and Information Program: Clinical Data Transformation
      • Operationalizing Data and Information Program: Leveraging Social Communications
      • Operationalizing Data and Information Program: Commercial Data Transformation
  • IDC Digital Transformation Spending Guide

Learn More

  • Related Research
  • Synopsis