Nursing Informatics for the Advanced Practice Nurse

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 infrastructureEmphasizes usability, workflow  redesign, and challenges with electronic clinical quality measuresCovers  emerging challenge proposed by CMS to incorporate social determinants  of healthFocuses on data science, secondary data analysis, citizen  science, and advanced analytic methodsRevised chapter on robotics with  up-to-date content relating to the impact on nursing practiceNew  information on artificial intelligence and ethical considerationsNew  case studies and exercises to reinforce learning and specifics for  managing public health during and after a pandemicCOVID-19  pandemic-related lessons learned from data availability, data quality,  and data use when trying to predict its impact on the health of  communitiesAnalytics that focus on health inequity and how to address  itExpanded 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  throughoutAdvanced 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 practiceAddresses the new re-envisioned AACN  essentialsIncludes chapter objectives, case studies, end-of-chapter  exercises, and questions to reinforce understandingAligned with QSEN  graduate-level competencies and the expanded TIGER (Technology  Informatics Guiding Education Reform) competencies.