Data Makes the Difference
The Smart Nurse's Handbook for Using Data to Improve Care
Published on 30. April 2015
Book
Paperback/Softback
115 pages
978-1-55810-611-6 (ISBN)
Description
The data used for measuring and safety purposes actually comes directly from the information on patient care that is documented daily? Data Makes the Difference helps RNs understand how to use accurate and meaningful quality and safety data in their practice. It demystifies data and counters the negative, incorrect perception that nurses can't use data to drive patient care. It also empowers nurses to become confident and comfortable in using quality and safety data to demonstrate the contributions of nurses to patient-centred outcomes.
After reading Data Makes the Difference, nurses you will be able to:
Comprehend quality data and quality measurements.
Utilize data to inform patient care and track outcomes.
Understand the future directions in the use of quality data: EHRs, telehealth and eMeasures.
Know how nurses lead through data use and interpretation.
After reading Data Makes the Difference, nurses you will be able to:
Comprehend quality data and quality measurements.
Utilize data to inform patient care and track outcomes.
Understand the future directions in the use of quality data: EHRs, telehealth and eMeasures.
Know how nurses lead through data use and interpretation.
More details
Language
English
Place of publication
Washington, DC
United States
Target group
Professional and scholarly
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-1-55810-611-6 (9781558106116)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Kimberly S. Glassman | Peri Rosenfeld
Data Makes the Difference
The Smart Nurse's Handbook for Using Data to Improve Care
E-Book
04/2015
Nursesbooks
€28.49
Available for download
Persons
Kimberly S. Glassman, PhD, RN, NEA-BC, is senior vice president, Patient Care Services, and chief nursing officer at NYU Langone Medical Center. Dr. Glassman joined NYULMC in 1978 as a senior staff nurse and rose steadily through the ranks, holding key leadership roles before assuming her current position in 2010. She is also the associate dean for Partnership Innovation at the New York University College of Nursing.
Peri Rosenfeld, PhD, has over 25 years of experience in health services research and program evaluation, and has published and presented widely on quality, informatics and research topics. Dr. Rosenfeld joined NYU Langone Medical Center as the director of Outcomes Research and Program Evaluation for the Departments of Nursing in 2013. Prior to joining NYU Langone, Dr. Rosenfeld was a senior evaluation scientist at the Center for Home Care Policy and Research at the Visiting Nurses Service of New York from 2006-2012.
Peri Rosenfeld, PhD, has over 25 years of experience in health services research and program evaluation, and has published and presented widely on quality, informatics and research topics. Dr. Rosenfeld joined NYU Langone Medical Center as the director of Outcomes Research and Program Evaluation for the Departments of Nursing in 2013. Prior to joining NYU Langone, Dr. Rosenfeld was a senior evaluation scientist at the Center for Home Care Policy and Research at the Visiting Nurses Service of New York from 2006-2012.
Content
Chapter 1. History, Background, and Introduction
The Institute of Medicine Reports: Pioneering Work on Quality and Safety in Health Care
Other Seminal Reports: Carnegie Study on Nursing Education
Quality and Safety Education for Nurses (QSEN)
Nurses are Key to Quality
Chapter 2. Quality Data: Definitions, Measures, and Metrics
What is Quality Data and Quality Measurement?
Donabedian: A Useful Model for Thinking About Types of Data and the People Who Use Data for Nursing Practice
Comparing Apples to Apples: Standardized Definitions and Shared Metrics Related to Quality
Types of Data and Measures of Nursing Quality
New Clinical Measures in 2014
Chapter 3. Utilizing Data to Inform Patient Care and Track Outcomes: Answering the Question, How Are We Doing?
Learning from Other Industries
Dashboards, Scorecards, Targets, and Benchmarks
Clinical Decision Support Systems
Relevance for Clinical Nurses and Leaders
Chapter 4. Future Directions in the Use of Quality Data: Electronic Health Records, Telehealth and eMeasures
Electronic Health Records and Meaningful Use
Beyond EHR: Computerized Provider Order Entry, Barcodes, and Decision Support Systems
Technological Innovations and Measuring Nursing Quality
Processes and Outcomes
eMeasurement and Nurse-sensitive Indicators
Big Data
States Invest in Health Information: The Case of New York State's HEALNY programs
Future Directions: Telehealth and Personal Digital Assistants
Chapter 5. How Nurses Lead through Data Use and Interpretation: Insights from the Chief Nurse
Nursing's Role in Preventing Hospital-Acquired Conditions
Catheter-Associated Urinary Tract Infections (CAUTI)
Falls Prevention
Maternity Measures
Care Coordination
Magnet Exemplars
Insights from the CNO: Summary of Key Points
Final Thoughts
Appendix A. Unit Report Cards for Clinical Nurses to
Improve Practice
References
Index
The Institute of Medicine Reports: Pioneering Work on Quality and Safety in Health Care
Other Seminal Reports: Carnegie Study on Nursing Education
Quality and Safety Education for Nurses (QSEN)
Nurses are Key to Quality
Chapter 2. Quality Data: Definitions, Measures, and Metrics
What is Quality Data and Quality Measurement?
Donabedian: A Useful Model for Thinking About Types of Data and the People Who Use Data for Nursing Practice
Comparing Apples to Apples: Standardized Definitions and Shared Metrics Related to Quality
Types of Data and Measures of Nursing Quality
New Clinical Measures in 2014
Chapter 3. Utilizing Data to Inform Patient Care and Track Outcomes: Answering the Question, How Are We Doing?
Learning from Other Industries
Dashboards, Scorecards, Targets, and Benchmarks
Clinical Decision Support Systems
Relevance for Clinical Nurses and Leaders
Chapter 4. Future Directions in the Use of Quality Data: Electronic Health Records, Telehealth and eMeasures
Electronic Health Records and Meaningful Use
Beyond EHR: Computerized Provider Order Entry, Barcodes, and Decision Support Systems
Technological Innovations and Measuring Nursing Quality
Processes and Outcomes
eMeasurement and Nurse-sensitive Indicators
Big Data
States Invest in Health Information: The Case of New York State's HEALNY programs
Future Directions: Telehealth and Personal Digital Assistants
Chapter 5. How Nurses Lead through Data Use and Interpretation: Insights from the Chief Nurse
Nursing's Role in Preventing Hospital-Acquired Conditions
Catheter-Associated Urinary Tract Infections (CAUTI)
Falls Prevention
Maternity Measures
Care Coordination
Magnet Exemplars
Insights from the CNO: Summary of Key Points
Final Thoughts
Appendix A. Unit Report Cards for Clinical Nurses to
Improve Practice
References
Index