Quality Improvement in Cardiothoracic Surgery
Evidence-Based Practices for Enhanced Outcomes
Thanos Athanasiou editor Marco Scarci editor Dimitrios E Magouliotis editor
Format:Hardback
Publisher:Springer Nature Switzerland AG
Published:9th Aug '26
Currently unavailable, and unfortunately no date known when it will be back

"Quality Improvement in Cardiothoracic Surgery: Evidence-Based Practices for Enhanced Outcomes" offers a comprehensive guide to quality improvement (QI) initiatives aimed at transforming the landscape of Cardiothoracic (CT) surgery. The book addresses the urgent need for systematic improvements in surgical processes and patient care within the high-stakes environment of cardiovascular and thoracic operations.
With contributions from leading cardiothoracic surgeons and QI experts, this text will bridge the gap between theoretical QI frameworks and their practical application in the operating room and the perioperative pathway. Focusing on real-world examples and best practices, it provides clinicians, surgeons, and healthcare administrators with practical tools to improve outcomes, reduce complications, and enhance efficiency.
This book is particularly timely as healthcare moves towards value-based models and patient safety becomes a top priority for hospitals worldwide. Although, there is such a tremendous need for education on the implementation of quality improvement interventions, currently there is no similar book in the context of cardiothoracic surgery available in the market.
Key Objectives and Aims
- To introduce evidence-based QI methodologies specifically adapted for cardiothoracic surgery, including Lean, Six Sigma, and Plan-Do-Study-Act (PDSA) cycles.
- To explore real-world case studies that demonstrate successful QI projects in cardiac and thoracic surgeries.
- To provide actionable tools and frameworks for surgeons and administrators to initiate and sustain QI initiatives within their institutions.
- To highlight future trends in QI for cardiothoracic surgery, such as the use of robotics, data analytics, artificial intelligence (AI), and digital monitoring tools. <
ISBN: 9783032260727
Dimensions: unknown
Weight: unknown
328 pages