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

Kudyba, Stephan P.

  • 出版商: Auerbach Publication
  • 出版日期: 2022-06-13
  • 售價: $2,410
  • 貴賓價: 9.5$2,290
  • 語言: 英文
  • 頁數: 416
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032340002
  • ISBN-13: 9781032340005
  • 海外代購書籍(需單獨結帳)

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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、分析和管理提升效率 提供了對不同類型醫療服務提供者、相應的信息技術、分析方法和數據問題的理解,這些在轉型醫療行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)和病人分析的各種活動,如工作流程和過程,包括熱點分析、風險分層和治療效果。

這本書是醫療資訊學:提升效率和生產力的後續作品,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行業。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,並包括健全的項目管理原則和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聯繫起來來提升過程效率,以實現成功。它解釋了如何利用數據資源和分析來增強護理提供者的決策支持,並深入描述了用於創建可行信息的各種分析方法,包括商業智能、六西格瑪、數據和文本挖掘。

作者簡介

Dr. Stephan P. Kudyba is a professor in the school of management at the New Jersey Institute of Technology. He has published numerous books, journal articles, and magazine articles on strategic utilization of data, information, and technologies to enhance organizational and macro productivity. Dr. Kudyba regularly presents at academic conferences, corporate seminars, and university symposiums addressing trends in information technologies, information management, and the evolving information and knowledge economy. He has over 15 years of private sector experience at prominent organizations in the US and Europe, has held editorial positions for academic journals, is a member of a number of information management based societies, and is involved with helping organizations across a variety of industries address strategic initiatives.

作者簡介(中文翻譯)

斯蒂芬·P·庫迪巴博士是新澤西理工學院管理學院的教授。他出版了多本書籍、期刊文章和雜誌文章,專注於數據、信息和技術的戰略性利用,以提升組織和宏觀生產力。庫迪巴博士定期在學術會議、企業研討會和大學座談會上發表演講,探討信息技術、信息管理以及不斷演變的信息和知識經濟的趨勢。他在美國和歐洲的知名組織擁有超過15年的私營部門經驗,曾擔任學術期刊的編輯職位,是多個以信息管理為基礎的學會成員,並參與幫助各行各業的組織應對戰略性倡議。

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