THE BIG SALE IS ON! TELL ME MORE

Close Notification

Your cart does not contain any items

Nursing Informatics for the Advanced Practice Nurse, Third Edition

Patient Safety, Quality, Outcomes, and Interprofessionalism

Susan McBride Mari Tietze

$233

Paperback

Not in-store but you can order this
How long will it take?

QTY:

English
Springer Publishing Co Inc
28 February 2022
Awarded first place in the 2022 AJN Book of the Year Awards in Informatics

This award-winning resource uniquely integrates national goals with nursing practice to achieve safe, efficient quality of care through technology management. The heavily revised third edition emphasizes the importance of federal policy in digitally transforming the U.S. healthcare delivery system, addressing its evolution and current policy initiatives to engage consumers and promote interoperability of the IT infrastructure nationwide. It focuses on ways to optimize the massive U.S. investment in HIT infrastructure and examines usability, innovative methods of workflow redesign, and challenges with electronic clinical quality measures (eCQMs). Additionally, the text stresses documentation challenges that relate to usability issues with EHRs and sub-par adoption and implementation. The third edition also explores data science, secondary data analysis, and advanced analytic methods in greater depth, along with new information on robotics, artificial intelligence, and ethical considerations.

Contributors include a broad array of notable health professionals, which reinforces the book's focus on interprofessionalism. Woven throughout are the themes of point-of-care applications, data management, and analytics, with an emphasis on the interprofessional team. Additionally, the text fosters an understanding of compensation regulations and factors.

New to the Third Edition:

Examines current policy initiatives to engage consumers and promote nationwide interoperability of the IT infrastructure

Emphasizes usability, workflow redesign, and challenges with electronic clinical quality measures

Covers emerging challenge proposed by CMS to incorporate social determinants of health

Focuses on data science, secondary data analysis, citizen science, and advanced analytic methods

Revised chapter on robotics with up-to-date content relating to the impact on nursing practice

New information on artificial intelligence and ethical considerations

New case studies and exercises to reinforce learning and specifics for managing public health during and after a pandemic

COVID-19 pandemic-related lessons learned from data availability, data quality, and data use when trying to predict its impact on the health of communities

Analytics that focus on health inequity and how to address it

Expanded and more advanced coverage of interprofessional practice and education (IPE)

Enhanced instructor package

Key Features:

Presents national standards and healthcare initiatives as a guiding structure throughout

Advanced analytics is reflected in several chapters such as cybersecurity, genomics, robotics, and specifically exemplify how artificial intelligence (AI) and machine learning (ML) support related professional practice

Addresses the new re-envisioned AACN essentials

Includes chapter objectives, case studies, end-of-chapter exercises, and questions to reinforce understanding

Aligned with QSEN graduate-level competencies and the expanded TIGER (Technology Informatics Guiding Education Reform) competencies.

By:   ,
Imprint:   Springer Publishing Co Inc
Country of Publication:   United States
Edition:   3rd New edition
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   1.451kg
ISBN:   9780826185259
ISBN 10:   0826185258
Pages:   848
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Replaced By:   9780826167835
Format:   Paperback
Publisher's Status:   Active
"Section I: Introduction Chapter 1: Introduction to Health Information Technology in a Policy and Regulatory Environment Susan McBride and Mari Tietze Chapter 2: Advanced Practice Roles in Interprofessional Teams Carol J. Bickford and Mari Tietze Chapter 3: Scientific and Theoretical Foundations for Driving Improvement Richard Booth, Susan McBride, and Mari Tietze Chapter 4: National Healthcare Transformation and Information Technology Liz Johnson, Susan McBride, David Bergman, Mari Tietze Chapter 5: Consumer Engagement/Activation Enhanced by Technology Mari Tietze and Patricia Hinton Walker Section II: Point-of-Care Technology Chapter 6: Computers in Healthcare Susan McBride, Richard E. Gilder, and Deb McCullough Chapter 7: Electronic Health Records and Point-of-Care Technology Mary Beth Mitchell and Susan McBride Chapter 8: Systems Development Life Cycle for Achieving Meaningful Use Susan McBride, Susan K. Newbold, David Fulton Chapter 9: Workflow Redesign in a Quality-Improvement Modality Susan McBride, Stephanie H. Hoelscher Chapter 10: Evaluation Methods and Strategies for Electronic Health Records Susan McBride, Mary Beth Mitchell, and David DeAbreu Chapter 11: Electronic Health Records and Health Information Exchanges Providing Value and Results for Patients, Providers, and Healthcare Systems Anne Kimbol, Susan McBride, Tony Gilman, and George R. Gooch Chapter 12: National Standards for Health Information Technology Susan H. Fenton and Susan McBride Chapter 13: Public Health Data to Support Healthy Communities in Health Assessment & Planning Sue Pickens, Susan McBride, Steve Miff, Mari Tietze Chapter 14: Privacy and Security in a Ubiquitous Health Information Technology World Susan McBride, Helen Caton-Peters, and Kristin Jenkins Chapter 15: Personal Health Records and Patient Portals Mari Tietze, Stephanie H. Hoelschler Chapter 16: Telehealth and Mobile Health Mari Tietze and Georgia A. Brown Section III: Data Management Chapter 17: Strategic Thinking in Design and Deployment of Enterprise Data, Reporting, and Analytics Trish Smith and Susan McBride Chapter 18: Data Management and Analytics: The Foundations for Improvemen Susan McBride and Mari Tietze Chapter 19: Clinical Decision Support Systems Joni S. Padden, Dwayne Hoelscher, Susan McBride, Mari Tietze Section IV: Patient Safety/Quality and Population Health Chapter 20: Health Information Technology and Implications for Patient Safety Mari Tietze and Susan McBride Chapter 21: Quality-Improvement Strategies and Essential Tools Susan McBride, Mari Tietze, and John Terrell Chapter 22: National Prevention Strategy, Population Health, and Health Information & Technology Andrea L. Lorden, Mari Tietze, and Susan McBride Chapter 23: Electronic Clinical Quality Measures: Building an Infrastructure for Success Susan McBride, Kimberly M. Bodine, and Liz Johnson Chapter 24: Developing Competencies in Nursing for an Electronic Age of Healthcare Laura Thomas, Susan McBride, Sharon Decker, Matthew Pierce, and Mari Tietze Section V: New and Emerging Technologies Chapter 25: Genomics and Implications for Health Information Technology Diane C. Seibert, Susan McBride, and Mary Madeline Rogge Chapter 26: Nanotechnology, Nanorobotics, and Implications for Healthcare Interprofessional Teams Mari Tietze and Susan McBride Chapter 27: ""Big Data"" and Advanced Analytics Susan McBride, Cynthia Powers, Richard E. Gilder, Wesley Rhodes, Annette Sobel, and Billy U. Philips, Jr. Chapter 28: Social Media: Ongoing Evolution in Healthcare Delivery Lyndsay Foisey, Richard Booth, Susan McBride, and Mari Tietze Chapter 29: Enhancing Cybersecurity in New and Emerging Health Informatics Environments Susan McBride, Annette Sobel, and Wesley Rhodes Chapter 30: Interprofessional Application of Health Information Technology in Education Mari Tietze and Stacey Brown"

Susan McBride, PhD, RN-BC, CPHIMS, FAAN, is a nursing informaticist within the Texas Tech University Health Sciences Center (TTUHSC), whose research focus is on methods development for implementing, evaluating, and utilizing large healthcare datasets to examine patient safety, quality, and population health. Mari Tietze, PhD, RN, FHIMSS, FAAN, is the Myrna R. Pickard Endowed Professor at the University of Texas (UTA) College of Nursing and Health Innovation and the Affiliate to the UTA Multi-Interprofessional Center for Health Informatics (MICHI).

See Also