Using Predictive Analytics to Improve Healthcare Outcomes - Hardcover

Hardcover

ISBN 10: 1119747759 ISBN 13: 9781119747758

Verlag: Wiley, 2021

Inhaltsangabe

Using Predictive Analytics to Improve Healthcare Outcomes

Winner of the American Journal of Nursing (AJN) Informatics Book of the Year Award 2021!

Discover a comprehensive overview, from established leaders in the field, of how to use predictive analytics and other analytic methods for healthcare quality improvement.

Using Predictive Analytics to Improve Healthcare Outcomes delivers a 16-step process to use predictive analytics to improve operations in the complex industry of healthcare. The book includes numerous case studies that make use of predictive analytics and other mathematical methodologies to save money and improve patient outcomes. The book is organized as a “how-to” manual, showing how to use existing theory and tools to achieve desired positive outcomes.

You will learn how your organization can use predictive analytics to identify the most impactful operational interventions before changing operations. This includes:

• A thorough introduction to data, caring theory, Relationship-Based Care^®, the Caring Behaviors Assurance System^©, and healthcare operations, including how to build a measurement model and improve organizational outcomes.
• An exploration of analytics in action, including comprehensive case studies on patient falls, palliative care, infection reduction, reducing rates of readmission for heart failure, and more―all resulting in action plans allowing clinicians to make changes that have been proven in advance to result in positive outcomes.
• Discussions of how to refine quality improvement initiatives, including the use of “comfort” as a construct to illustrate the importance of solid theory and good measurement in adequate pain management.
• An examination of international organizations using analytics to improve operations within cultural context.

Using Predictive Analytics to Improve Healthcare Outcomes is perfect for executives, researchers, and quality improvement staff at healthcare organizations, as well as educators teaching mathematics, data science, or quality improvement. Employ this valuable resource that walks you through the steps of managing and optimizing outcomes in your clinical care operations.

Über diesen Titel

Über die Autorin bzw. den Autor

John W. Nelson, PhD, MS, RN, is President and Founder of Healthcare Environment. He has worked in 46 countries with over 400+ healthcare facilities using advanced analytics to improve outcomes management for staff and patients, with results of cost savings up to $5.7 million. He co-authored the book Measuring Caring with Dr. Jean Watson and has authored or co-authored over 50 scholarly works. He has served as a graduate adjunct professor, mentored graduate students, and presented at numerous global industry conferences. He has worked with government organizations including the CMS in the US and the NHS in the UK.

Jayne Felgen, MPA, RN, is President Emeritus and Consultant at Creative Health Care Management. She has expertise in Relationship-Based Care^® and is the originator of the I₂E₂ implementation strategy.

Mary Ann Hozak, MSN, RN, is Administrative Director of Cardiology at St. Joseph’s Health in Paterson, New Jersey, USA. She has over 10 years’ experience in Relationship-Based Care^® methodology and participated in most of the research projects reported on in this book.

Von der hinteren Coverseite

Discover a comprehensive overview, from established leaders in the field, of how to use predictive analytics and other analytic methods for healthcare quality improvement.

Using Predictive Analytics to Improve Healthcare Outcomes delivers a 16-step process to use predictive analytics to improve operations in the complex industry of healthcare. The book includes numerous case studies that make use of predictive analytics and other mathematical methodologies to save money and improve patient outcomes. The book is organized as a “how-to” manual, showing how to use existing theory and tools to achieve desired positive outcomes.

You will learn how your organization can use predictive analytics to identify the most impactful operational interventions before changing operations. This includes:

• A thorough introduction to data, caring theory, Relationship-Based Care^®, the Caring Behaviors Assurance System^©, and healthcare operations, including how to build a measurement model and improve organizational outcomes.
• An exploration of analytics in action, including comprehensive case studies on patient falls, palliative care, infection reduction, reducing rates of readmission for heart failure, and more―all resulting in action plans allowing clinicians to make changes that have been proven in advance to result in positive outcomes.
• Discussions of how to refine quality improvement initiatives, including the use of “comfort” as a construct to illustrate the importance of solid theory and good measurement in adequate pain management.
• An examination of international organizations using analytics to improve operations within cultural context.

Using Predictive Analytics to Improve Healthcare Outcomes is perfect for executives, researchers, and quality improvement staff at healthcare organizations, as well as educators teaching mathematics, data science, or quality improvement. Employ this valuable resource that walks you through the steps of managing and optimizing outcomes in your clinical care operations.

Aus dem Klappentext

Discover a comprehensive overview, from established leaders in the field, of how to use predictive analytics and other analytic methods for healthcare quality improvement.

Using Predictive Analytics to Improve Healthcare Outcomes delivers a 16-step process to use predictive analytics to improve operations in the complex industry of healthcare. The book includes numerous case studies that make use of predictive analytics and other mathematical methodologies to save money and improve patient outcomes. The book is organized as a “how-to” manual, showing how to use existing theory and tools to achieve desired positive outcomes.

You will learn how your organization can use predictive analytics to identify the most impactful operational interventions before changing operations. This includes:

• A thorough introduction to data, caring theory, Relationship-Based Care^®, the Caring Behaviors Assurance System^©, and healthcare operations, including how to build a measurement model and improve organizational outcomes.
• An exploration of analytics in action, including comprehensive case studies on patient falls, palliative care, infection reduction, reducing rates of readmission for heart failure, and more—all resulting in action plans allowing clinicians to make changes that have been proven in advance to result in positive outcomes.
• Discussions of how to refine quality improvement initiatives, including the use of “comfort” as a construct to illustrate the importance of solid theory and good measurement in adequate pain management.
• An examination of international organizations using analytics to improve operations within cultural context.

Using Predictive Analytics to Improve Healthcare Outcomes is perfect for executives, researchers, and quality improvement staff at healthcare organizations, as well as educators teaching mathematics, data science, or quality improvement. Employ this valuable resource that walks you through the steps of managing and optimizing outcomes in your clinical care operations.

Details zur Ausgabe

• Verlag: Wiley
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 1119747759
• ISBN 13: 9781119747758
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 464
• Herausgeber: Nelson John W.
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland