Healthcare Informatics: Improving Efficiency through Technology, Analytics, and Management
暫譯: 醫療資訊學:透過技術、分析與管理提升效率

Stephan P. Kudyba

  • 出版商: Auerbach Publication
  • 出版日期: 2016-04-14
  • 售價: $4,910
  • 貴賓價: 9.5$4,665
  • 語言: 英文
  • 頁數: 415
  • 裝訂: Hardcover
  • ISBN: 1498746357
  • ISBN-13: 9781498746359
  • 海外代購書籍(需單獨結帳)

商品描述

Healthcare Informatics: Improving Efficiency through Technology, Analytics, and Management supplies an understanding of the different types of healthcare service providers, corresponding information technologies, analytic methods, and data issues that play a vital role in transforming the healthcare industry. All of these elements are reshaping the various activities such as workflow and processes of hospitals, healthcare systems, ACOs, and patient analytics, including hot spotting, risk stratification, and treatment effectiveness.

A follow-up to Healthcare Informatics: Improving Efficiency and Productivity, this latest book includes new content that examines the evolution of Big Data and how it is revolutionizing the healthcare industry. It presents strategies for achieving national goals for the meaningful use of health information technology and includes sound project management principles and case illustrations for technology roll-out, such as Computer Physician Order Entry (CPOE) for optimal utilization.

The book describes how to enhance process efficiency by linking technologies, data, and analytics with strategic initiatives to achieve success. It explains how to leverage data resources with analytics to enhance decision support for care providers through in-depth descriptions of the array of analytic methods that are used to create actionable information, including Business Intelligence, Six Sigma, Data, and Text Mining.

商品描述(中文翻譯)

《醫療資訊學:透過技術、分析與管理提升效率》提供了對不同類型醫療服務提供者、相應的信息技術、分析方法及數據問題的理解,這些因素在轉型醫療產業中扮演著至關重要的角色。所有這些元素正在重塑醫院、醫療系統、ACO(負責任照護組織)及病人分析的各種活動,如工作流程和過程,包括熱點分析、風險分層及治療效果。

作為《醫療資訊學:提升效率與生產力》的後續作品,本書包含了新的內容,探討了大數據的演變及其如何徹底改變醫療產業。它提出了實現健康信息技術有意義使用的國家目標的策略,並包括了健全的專案管理原則及技術推廣的案例說明,例如計算機醫生訂單輸入(CPOE)以達到最佳利用。

本書描述了如何通過將技術、數據和分析與戰略舉措相連結來提升過程效率,以實現成功。它解釋了如何利用數據資源和分析來增強照護提供者的決策支持,並深入描述了用於創建可行信息的各種分析方法,包括商業智慧(Business Intelligence)、六西格瑪(Six Sigma)、數據和文本挖掘。

最後瀏覽商品 (20)