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Nursing Informatics for the Advanced Practice Nurse - Patient Safety, Quality, Outcomes, and Interprofessionalism (Paperback, 3rd Revised edition)
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Nursing Informatics for the Advanced Practice Nurse - Patient Safety, Quality, Outcomes, and Interprofessionalism (Paperback, 3rd Revised edition)
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Winner of two first place AJN Book of the Year Awards!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.
An enhanced instructor package delivers new digital and audio
content. 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.
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