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Data-Driven Quality Improvement and Sustainability in Health Care: An Interprofessional Approach (Original PDF from Publisher)

Data-Driven Quality Improvement and Sustainability in Health Care: An Interprofessional Approach

Unlock the power of data-driven decision-making in healthcare with this comprehensive guide, specifically designed for nurse leaders and healthcare administrators. “Data-Driven Quality Improvement and Sustainability in Health Care: An Interprofessional Approach” provides a solid understanding of the role of data in improving outcomes, driving innovation, and achieving sustained results in the ever-evolving healthcare landscape.

The Current State of Healthcare and the Imperative of Data-Driven Decision-Making

The healthcare industry is facing unprecedented challenges, with policymakers, regulatory bodies, and consumers demanding more efficient, effective, and patient-centered care. To meet these demands, healthcare administrators must leverage data to drive informed decision-making, monitor performance, and optimize resources.

Leveraging Data for Quality Improvement and Sustainability

This authoritative text sets the stage by examining the current state of the healthcare landscape, highlighting the role of data in administrative and clinical decision-making, and providing frameworks, methodologies, and tools to support quality improvement measures. It offers practical applications of data-driven processes that determine performance in healthcare operations, value- and performance-based contracts, and risk contracts.

Avoiding Common Pitfalls in Data Use

Misuse or inconsistent use of data can lead to ineffective and errant decision-making. This text highlights common barriers and pitfalls related to data use, providing strategies for how to avoid these pitfalls and ensure data-driven decision-making.

Real-Life Case Exemplars and Interprofessional Collaboration

Chapters feature key points, reflection questions, and real-life interprofessional case exemplars to help healthcare professionals draw distinctions and apply principles to their own practice. This text is designed to facilitate collaboration and knowledge-sharing among healthcare administrators, clinicians, and policymakers.

Key Features

  • Provides a comprehensive understanding of the role of data in the current healthcare landscape
  • Offers frameworks, methodologies, and tools to support quality improvement measures
  • Demonstrates the application of data and its impact on quality and safety initiatives through real-life case exemplars
  • Highlights common barriers and pitfalls related to data use and provides strategies for how to avoid these pitfalls

Stay ahead of the curve in healthcare innovation and improvement with “Data-Driven Quality Improvement and Sustainability in Health Care: An Interprofessional Approach.”

Publication Details:

  • Publisher: Springer Publishing Company
  • Edition: 1st edition
  • Publication Date: November 19, 2020
  • Language: English

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