Clinical Analytics and Data Management for the DNP
Clinical Analytics and Data Management for the DNP

Author: Martha L. Sylvia, PhD, MBA, RN

Publisher: Springer Publishing Company

Published: 2023-01-18

Total Pages: 495

ISBN-13: 0826163246

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Praise for the first edition: "DNP students may struggle with data management, since their projects are not research but quality improvement, and this book covers the subject well. I recommend it for DNP students for use during their capstone projects." Score: 98, 5 Stars -- Doody's Medical Reviews This unique text and reference—the only book to address the full spectrum of clinical data management for the DNP student—instills a fundamental understanding of how clinical data is gathered, used, and analyzed, and how to incorporate this data into a quality DNP project. The new third edition is updated to reflect changes in national health policy such as quality measurements, bundled payments for specialty care, and Advances to the Affordable Care Act (ACA) and evolving programs through the Centers for Medicare and Medicaid Services (CMS). The third edition reflects the revision of 2021 AACN Essentials and provides data sets and other examples in Excel and SPSS format, along with several new chapters. This resource takes the DNP student step-by-step through the complete process of data management, from planning through presentation, clinical applications of data management that are discipline-specific, and customization of statistical techniques to address clinical data management goals. Chapters are brimming with descriptions, resources, and exemplars that are helpful to both faculty and students. Topics spotlight requisite competencies for DNP clinicians and leaders such as phases of clinical data management, statistics and analytics, assessment of clinical and economic outcomes, value-based care, quality improvement, benchmarking, and data visualization. A progressive case study highlights multiple techniques and methods throughout the text. New to the Third Edition: New Chapter: Using EMR Data for the DNP Project New chapter solidifies link between EBP and Analytics for the DNP project New chapter highlights use of workflow mapping to transition between current and future state, while simultaneously visualizing process measures needed to ensure success of the DNP project Includes more examples to provide practical application exercises for students Key Features: Disseminates robust strategies for using available data from everyday practice to support trustworthy evaluation of outcomes Uses multiple tools to meet data management objectives [SPSS, Excel®, Tableau] Presents case studies to illustrate multiple techniques and methods throughout chapters Includes specific examples of the application and utility of these techniques using software that is familiar to graduate nursing students Offers real world examples of completed DNP projects Provides Instructor’s Manual, PowerPoint slides, data sets in SPSS and Excel, and forms for completion of data management and evaluation plan

Proposal Writing for Clinical Nursing and DNP Projects
Proposal Writing for Clinical Nursing and DNP Projects

Author: Wanda Bonnel, PhD, APRN, ANEF

Publisher: Springer Publishing Company

Published: 2017-07-28

Total Pages: 281

ISBN-13: 0826144438

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Amazon, 11 reviews for 5-star average: "Excellent, very helpful, to the point, concise without leaving out important details." "Really helps and is easy to understand." This practical, concise, and accessible guide for graduate students and advanced clinicians delivers step-by-step guidelines for integrating research and best evidence to produce concise, well-written project proposals. Health care professionals in advanced practice are increasingly being asked to be able to deliver clinical project proposals using best evidence for advancing quality patient care. With the same “must know” clinical scholarship tools of the first edition, this revision provides practical guidelines of common project models for developing and writing a tight proposal from start to finish while leaving room for the unique nature of most clinical project topics. The second edition includes a completely new chapter on quality improvement concepts, new project proposal abstracts, and new information specific to the DNP project from the AACN. Using the same three-part organization to walk through the intricacies of planning, writing, and completing scholarly project proposals, this new edition also adds new key features to keep readers engaged with the text and their own ongoing or forthcoming proposal. Chapters have been updated to include websites for additional learning, as well as advice from DNP students who have themselves successfully completed project proposals. Reflective questions, tips for completing proposals, exemplars, and reader activities throughout the book facilitate readers’ greater understanding of projects and subsequent proposals. New to the Second Edition: A new chapter on quality improvement concepts Advice from DNP students who have themselves completed proposals Chapter updates and edits for enhanced clarity Websites for additional learning New information specific to the DNP project based on guidance from the AACN Increased emphasis on the Project Triangle, an important foundational structure Key Features: Provides topflight guidance in proposal writing for DNP and other nursing clinical projects Details parameters for integrating scholarship with clearly communicated professional objectives Contains numerous writing prompts and questions that guide students in reflective scholarly writing Offers examples of good writing, reflective questions, and tools for self-assessment Offers helpful tips for making proposals concise yet complete

Population Health Analytics
Population Health Analytics

Author: Martha L. Sylvia

Publisher: Jones & Bartlett Learning

Published: 2021-08-02

Total Pages: 576

ISBN-13: 1284251101

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As the focus of the health care delivery system continues to move toward a coordinated and accountable system, there is an increasing need for a single resource that focuses on analytics for population health. Population Health Analytics addresses that need by providing detailed information and a “how to” guide for achieving population health analytics. Comprehensive, current, and practical, this logically organized text builds from understanding data sources, to contextualizing data, modeling data, and gleaning insights from that data, which is a natural progression for organizations in progressing to higher levels of analytic capabilities. Furthermore, these frameworks for the population health process and analytics are grounded in an evidence base that is also aligned with theories and processes used in healthcare disciplines. This first of its kind text will prepare students to improve health outcomes, understand patterns of health behavior and more.

Translation of Evidence into Nursing and Healthcare
Translation of Evidence into Nursing and Healthcare

Author: Kathleen M. White, PhD, RN, NEA-BC, FAAN

Publisher: Springer Publishing Company

Published: 2024-05-15

Total Pages: 540

ISBN-13: 0826191169

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2020 AJN Book-of-the-Year Award Winner for Nursing Research! Named a Doody's Core Title! Serving as both a text for DNP students and an applied resource for practicing health professionals, this acclaimed text is grounded in an interprofessional approach to translating evidence into nursing and healthcare practice in both clinical and nonclinical environments. The fourth edition delivers fresh and updated content to describe the work of translation from initial planning through achieving a successful outcome. The text presents new exemplars for the most salient DNP projects and discusses how to implement initiatives into practice. Additionally, it is updated to reflect revised AACN Essentials and other national standards. The fourth edition continues to describe theoretical underpinnings and practical strategies to lead translation efforts and meet DNP core requirements. It serves as both a scaffold for the DNP project and as a roadmap for DNPs as they begin to practice nursing at the highest level. Thirty new examples of successful translation projects demonstrate the process of working through a problem from meticulous investigation of the evidence through careful planning, execution, evaluation, and dissemination of the work. New to the Fourth Edition: Presents abundant new examples addressing the most common DNP projects, particularly for NPs and other APRNs Provides new content to support successful translation of evidence Demonstrates in depth the process of working through a problem from start to finish Updated to reflect revised AACN Essentials and other national standards Addresses policy and how to implement initiatives into practice Discusses recent revisions to commonly used organizing frameworks Expands appraisal of evidence content to help faculty and students develop DNP projects Describes a fast-growing evidence base for safety and quality work with examples Key Features: Describes the most important theories and strategies that meet DNP core requirements Presents examples of published DNP projects which demonstrate how to integrate EBP into advanced practice in a variety of roles and settings Addresses the use of evidence to improve nursing education Discusses how to reduce the divide between researchers and policymakers Presents thirty examples of successful translation projects

Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications
Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2019-12-06

Total Pages: 2071

ISBN-13: 1799812057

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Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.

Translation of Evidence into Nursing and Health Care, Second Edition
Translation of Evidence into Nursing and Health Care, Second Edition

Author: Kathleen M. White, PhD, RN, NEA-BC, FAAN

Publisher: Springer Publishing Company

Published: 2016-03-17

Total Pages: 472

ISBN-13: 082611783X

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Designed as a textbook for the DNP curriculum and as a practical resource for more seasoned health professionals, this acclaimed text encompasses an interprofessional approach to translating evidence into nursing and health care practice that is useful for both clinical and nonclinical environments. The second edition presents new chapters, three of which feature additional approaches for translating evidence into practice, new methods of information technology for translation, and interprofessional collaboration and practice for translation and three that offer 19 exemplars that illustrate actual translation work within the areas of population health and specialty practice, and in the health care system. Consistently woven throughout are the themes of integration and application of knowledge into practice, leadership and evaluating change, leadership strategies for translation, and interprofessional applications across settings. Also included is new information about outcomes management for improvement of direct and indirect care. The second edition continues to deliver applicable theory and strategies to achieve improved outcomes, and meets the DNP core competency requirements. It features a variety of models for change as they relate to translation of research into practice. The text underscores the importance of translating evidence for use in practice to improve health care and health care delivery, and presents strategies to achieve this. It addresses the use of evidence to improve nursing education, discusses how to reduce the divide between researchers and policy makers, and presents expedients for overcoming resistance to change. Extensive lists of references, web links, and other resources enhance learning and support the development of the DNP core competencies. NEW TO THE SECOND EDITION: Addition of an esteemed co-editor Reorganized and revised for enhanced comprehension New chapters: Methods for Translation, Information Technology and Decision Support, Interprofessional Collaboration and Practice for Translation, and Data Management and Evaluation of Translation Three new exemplar chapters: Population Health Exemplars, Specialty Practice Exemplars, and Health Care System Exemplars Updated information on integration and application of knowledge into practice, leading and evaluating change, leadership strategies for translation, and interprofessional application across settings New coverage of outcomes management for improvement of direct and indirect care KEY FEATURES: Offers an in-depth guide for planning, implementing, and translating evidence Includes extensive references necessary for doctoral study Provides the perfect supplement for evidence-based practice materials that often have limited information or value for translation/implementation activities

Statistics for Evidence-Based Practice in Nursing
Statistics for Evidence-Based Practice in Nursing

Author: MyoungJin Kim

Publisher: Jones & Bartlett Publishers

Published: 2017

Total Pages: 428

ISBN-13: 1284088375

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Statistics for Evidence-Based Practice in Nursing, Second Edition presents statistics in a readable, user-friendly manner for both graduate students and the professional nurse.

Clinical Data Management
Clinical Data Management

Author: Richard K. Rondel

Publisher: John Wiley & Sons

Published: 2000-02-03

Total Pages: 386

ISBN-13: 9780471983293

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Extensively revised and updated, with the addition of new chapters and authors, this long-awaited second edition covers all aspects of clinical data management. Giving details of the efficient clinical data management procedures required to satisfy both corporate objectives and quality audits by regulatory authorities, this text is timely and an important contribution to the literature. The volume: * is written by well-known and experienced authors in this area * provides new approaches to major topics in clinical data management * contains new chapters on systems software validation, database design and performance measures. It will be invaluable to anyone in the field within the pharmaceutical industry, and to all biomedical professionals working in clinical research.

Nursing Research Using Data Analysis
Nursing Research Using Data Analysis

Author: Mary De Chesnay

Publisher: Springer Publishing Company

Published: 2014-12-05

Total Pages: 249

ISBN-13: 082612688X

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This is a concise, step-by-step guide to conducting qualitative nursing research using various forms of data analysis. It is part of a unique series of books devoted to seven different qualitative designs and methods in nursing, written for both novice researchers and specialists seeking to develop or expand their competency. This practical resource encompasses such methodologies as content analysis, a means of organizing and interpreting data to elicit themes and concepts; discourse analysis, used to analyze language to understand social or historical context; narrative analysis, in which the researcher seeks to understand human experience through participant stories; and focus groups and case studies, used to understand the consensus of a group or the experience of an individual and his or her reaction to a difficult situation such as disease or trauma. Written by a noted qualitative research scholar and contributing experts, the book describes the philosophical basis for conducting research using data analysis and delivers an in-depth plan for applying its methodologies to a particular study, including appropriate methods, ethical considerations, and potential challenges. It presents practical strategies for solving problems related to the conduct of research using the various forms of data analysis and presents a rich array of case examples from published nursing research. These include author analyses to support readers in decision making regarding their own projects. The book embraces such varied topics as data security in qualitative research, the image of nursing in science fiction literature, the trajectory of research in several nursing studies throughout Africa, and many others. Focused on the needs of both novice researchers and specialists, it will be of value to health institution research divisions, in-service educators and students, and graduate nursing educators and students. Key Features: Explains how to conduct nursing research using content analysis, discourse analysis, narrative analysis, and focus groups and case studies Presents state-of-the-art designs and protocols Focuses on solving practical problems related to the conduct of research Features rich nursing exemplars in a variety of health/mental health clinical settings in the United States and internationally