Nursing Diagnosis Handbook, 12th Edition Revised Reprint with 2021-2023 NANDA-I® Updates - E-Book

Nursing Diagnosis Handbook, 12th Edition Revised Reprint with 2021-2023 NANDA-I® Updates - E-Book

Author: Betty J. Ackley

Publisher: Elsevier Health Sciences

Published: 2021-08-26

Total Pages: 1002

ISBN-13: 032387570X

DOWNLOAD EBOOK

- Step-by-step instructions show how to use the Guide to Nursing Diagnoses and Guide to Planning Care sections to create a unique, individualized plan of care. - UNIQUE! Care plans are provided for NANDA-I© approved nursing diagnoses. - Evidence-based interventions and rationales include recent or classic research and references supporting the use of each intervention. - Examples of and suggested NIC interventions and NOC outcomes are presented in each care plan. - 150 NCLEX® exam-style review questions are available on the Evolve website. - Easy-to-follow Sections I and II guide you through the nursing process and selection of appropriate nursing diagnoses. - Clear, concise interventions are usually only a sentence or two long and use no more than two references. - Safety content emphasizes what must be considered to provide safe patient care. - List of NANDA-I© Diagnoses on the inside front cover of the book provides quick reference to page numbers. - Alphabetical thumb tabs allow quick access to specific symptoms and nursing diagnoses. - Appendixes provide valuable information in an easy-to-access location.


NANDA International Nursing Diagnoses

NANDA International Nursing Diagnoses

Author: Heather T. Herdman

Publisher: Thieme

Published: 2017-06-28

Total Pages: 526

ISBN-13: 1626239304

DOWNLOAD EBOOK

Fully updated and revised by authors T. Heather Herdman, PhD, RN, FNI, and Shigemi Kamitsuru, PhD, RN, FNI, Nursing Diagnoses: Definitions and Classification 2018-2020, Eleventh Edition is the definitive guide to nursing diagnoses, as reviewed and approved by NANDA International (NANDA-I). In this new edition of a seminal text, the authors have written all introductory chapters at an undergraduate nursing level, providing the critical information needed for nurses to understand assessment, its link to diagnosis and clinical reasoning, and the purpose and use of taxonomic structure for the nurse at the bedside. Other changes include: 18 new nursing diagnoses and 72 revised diagnoses Updates to 11 nursing diagnosis labels, ensuring they are consistent with current literature and reflect a human response Modifications to the vast majority of the nursing diagnosis definitions, including especially Risk Diagnoses Standardization of diagnostic indicator terms (defining characteristics, related factors, risk factors, associated conditions, and at-risk populations) to further aid clarity for readers and clinicians Coding of all diagnostic indicator terms for those using electronic versions of the terminology Web-based resources include chapter and reference lists for new diagnoses Rigorously updated and revised, Nursing Diagnoses: Definitions and Classification 2018-2020, Eleventh Edition is a must-have resource for all nursing students, professional nurses, nurse educators, nurse informaticists, and nurse administrators.


Nursing Diagnosis Handbook

Nursing Diagnosis Handbook

Author: Betty J. Ackley

Publisher: Mosby

Published: 2008

Total Pages: 962

ISBN-13:

DOWNLOAD EBOOK

A reference to help nursing students and practising nurses select a nursing diagnosis and write plans of care with ease and confidence. The book provides care plans for every NANDA diagnosis and provides a quick access index of appropriate nursing diagnoses for over 1200 clinical entities.


NANDA International Nursing Diagnoses

NANDA International Nursing Diagnoses

Author: T. Heather Herdman

Publisher: Thieme

Published: 2021-02-11

Total Pages: 548

ISBN-13: 1684204550

DOWNLOAD EBOOK

The quintessential guide to nursing diagnoses from NANDA-I experts in new updated edition Fully updated and revised by editors T. Heather Herdman, Shigemi Kamitsuru, and Camila Takáo Lopes, NANDA International Nursing Diagnoses: Definitions and Classification, 2021-2023, 12th Edition is the definitive guide to nursing diagnoses, as reviewed and approved by the NANDA International (NANDA-I) Diagnosis Development Committee (DDC). In this new edition of a seminal text, the editors have revised all introductory chapters, providing critical information needed for nurses to understand assessment, its link to diagnosis and clinical reasoning, and the purpose and use of taxonomic structure for nurses at the bedside. Researchers will also find new recommendations to improve the terminology. Additional Key Updates 46 new nursing diagnoses and 67 revised diagnoses Changes to 17 nursing diagnosis labels, ensuring they are consistent with current literature and reflect a human response Refinement of the vast majority of the nursing diagnosis related/risk factors Standardization of diagnostic indicator terms (defining characteristics, related factors, risk factors) to further aid clarity for students and clinicians Coding of all terms for those using electronic versions of the terminology Web-based resources include reference lists for new and revised diagnoses New chapter on revised Level of Evidence Criteria for diagnosis submission Rigorously updated and revised, the new edition of this acclaimed text is a must-have resource for all nursing students, professional nurses, nurse educators, nurse informaticists, nurse researchers, and nurse administrators.


Mosby's Guide to Nursing Diagnosis, 6th Edition Revised Reprint with 2021-2023 NANDA-I® Updates

Mosby's Guide to Nursing Diagnosis, 6th Edition Revised Reprint with 2021-2023 NANDA-I® Updates

Author: Gail B. Ladwig, MSN, RN

Publisher: Mosby

Published: 2021-06

Total Pages: 960

ISBN-13: 9780323875110

DOWNLOAD EBOOK

Portable and easy-to-use, Mosby's Guide to Nursing Diagnosis, 6th Edition is ideal for use in clinicals, in class, and at the bedside! This pocket-sized reference book is a condensed version Ackley's Nursing Diagnosis Handbook, 12th Edition that helps you diagnose and formulate care plans with confidence and ease. Using a quick-access format, it includes the 2018-20 NANDA-I approved nursing diagnoses based on more than 1,300 specific symptoms and a step-by-step guide to creating care plans, featuring desired outcomes, interventions, and patient teaching. Plus, alphabetic thumb tabs allow for quick and easy access to specific symptoms and nursing diagnoses. UNIQUE! Includes care plans for every NANDA-I approved nursing diagnosis, including pediatric, geriatric, multicultural, home care, safety, and client/family teaching and discharge planning interventions. Alphabetical thumb tabs provides your students with quick access to specific symptoms and nursing diagnoses. Pocketsize portability makes this book easy to carry and use in clinicals, in class, or at the bedside. Nursing Diagnoses Index on the inside front and back cover. NEW! UNIQUE! 2018-2020 NANDA-I approved nursing diagnoses complete with 16 new diagnoses.


Data Driven Approach Towards Disruptive Technologies

Data Driven Approach Towards Disruptive Technologies

Author: T P Singh

Publisher: Springer Nature

Published: 2021-04-06

Total Pages: 597

ISBN-13: 9811598738

DOWNLOAD EBOOK

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4–5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.