Integrating Policy, Technology, and Practice to Advance Safe, Data-Driven, Interprofessional Care.
About This Text
Award-winning and thoroughly revised, this text integrates national standards and policy with point-of-care technology, data management, analytics, and interprofessional teamwork to improve patient safety, quality, and outcomes. Chapters blend policy context with practical tools for usability, workflow redesign, decision support, and evaluation.
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What’s New in the Third Edition
- Current policy initiatives that engage consumers and promote nationwide interoperability
- Usability and workflow redesign with challenges in electronic clinical quality measures (eCQMs)
- Incorporating social determinants of health (CMS)
- Data science, secondary data analysis, citizen science, and advanced analytics
- Revised robotics chapter
- New content on artificial intelligence (AI), machine learning (ML), and the ethical concerns new technologies raise
- COVID-19 pandemic lessons on data availability, quality, and use for community health prediction
- Analytics that address health inequity
- Expanded interprofessional practice and education (IPE)
Why Students Love This Text
- Aligns with the re-envisioned AACN Essentials, QSEN (graduate), and expanded TIGER competencies
- Practical cases, chapter objectives, end-of-chapter exercises, and review questions
- Coverage of cybersecurity, genomics, robotics, and how AI/ML support practice
- Clear structure that links policy, workflows, and analytics to measurable outcomes
Why Instructors Love This Text
- Enhanced instructor package includes cases, a test bank, and discussion questions
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Susan McBride, PhD, RN, NI-BC, CPHIMS, FAAN, is a nursing informaticist with over 25 years of experience in clinical informatics whose research focus is on methods development for implementing, evaluating, and utilizing health information technology and data to improve patient safety, quality, and population health. Dr. McBride is a Professor and the Associate Dean of Research for the School of Nursing at the University of Texas at Tyler. She is executive oversight of the University of Texas Tyler Health Science Center Institute for Health Innovation, Data Science and Research overseeing data science labs across campuses, supporting researchers in use of large clinical and population health datasets.Dr. McBride is a Fellow in the American Academy of Nursing and a member of the Informatics and Technology Expert Panel serving as Chair of the panel for 2019. She is a professor with prior curriculum development and teaching experience in graduate education for statistics, informatics, and epidemiology. She has developed and deployed software and services in the for-profit and not-for-profit arenas in the United States and has managed data repositories of clinical and administrative data in several positions over the past 20 years.
Mari Tietze, PhD, RN, NI-BC, 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 Center for Innovation in Health Informatics (CIHI). There she teaches and is the Director of the MSN in Nursing Health Informatics degree and certificate program. Previously, she worked as senior manager, Center for Research and Innovation, VHA Inc., in Irving, Texas. She also served as director of nursing research and informatics in the Dallas–Fort Worth Hospital Council’s Education and Research Foundation. In that role, she was responsible for deployment of the Council’s 3-year technology implementation project on behalf of the Small Community, Rural Hospitals Research Grant, a National Institutes of Health grant funded by the Agency for Healthcare Research and Quality. She was a key member of a team that was awarded an $8.4 million grant for a Regional Extension Center in North Texas. She directed workforce center nursing research and data initiative informatics projects. She is board certified by the American Nurses Credentialing Center in informatics nursing and a fellow of the Healthcare Information and Management Systems Society (FHIMSS).
