Clinical Analytics and Data Management for the DNP

by Martha L. Sylvia, PhD, MBA, RN
Clinical Analytics and Data Management for the DNP
Author: Martha L. Sylvia, PhD, MBA, RN
Publisher: Springer Publishing Company
Total Pages: 399
Release: 2018-03-28
Genre: Medical
ISBN: 0826142788
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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 is the only text to deliver the strong data management knowledge and skills that are required competencies for all DNP students. It enables readers to design data tracking and clinical analytics in order to rigorously evaluate clinical innovations/programs for improving clinical outcomes, and to document and analyze change. The second edition is greatly expanded and updated to address major changes in our health care environment. Incorporating faculty and student input, it now includes modalities such as SPSS, Excel, and Tableau to address diverse data management tasks. Eleven new chapters cover the use of big data analytics, ongoing progress towards value-based payment, the ACA and its future, shifting of risk and accountability to hospitals and clinicians, advancement of nursing quality indicators, and new requirements for Magnet certification. The text takes the DNP student step by step through the complete process of data management from planning to presentation, and encompasses the scope of skills required for students to apply relevant analytics to systematically and confidently tackle the clinical interventions data obtained as part of the DNP student project. Of particular value is a progressive case study illustrating multiple techniques and methods throughout the chapters. Sample data sets and exercises, along with objectives, references, and examples in each chapter, reinforce information. Key Features: Provides extensive content for rigorously evaluating DNP innovations/projects Takes DNP students through the complete process of data management from planning through presentation Includes a progressive case study illustrating multiple techniques and methods Offers very specific examples of application and utility of techniques Delivers sample data sets, exercises, PowerPoint slides and more, compiled in Supplemental Materials and an Instructor Manual

Clinical Analytics and Data Management for the DNP

by Martha L. Sylvia, PhD, MBA, RN
Clinical Analytics and Data Management for the DNP
Author: Martha L. Sylvia, PhD, MBA, RN
Publisher: Springer Publishing Company
Total Pages: 495
Release: 2023-01-18
Genre: Medical
ISBN: 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

Population Health Analytics

by Martha L. Sylvia
Population Health Analytics
Author: Martha L. Sylvia
Publisher: Jones & Bartlett Learning
Total Pages: 576
Release: 2021-08-02
Genre: Medical
ISBN: 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

by Kathleen M. White, PhD, RN, NEA-BC, FAAN
Translation of Evidence into Nursing and Healthcare
Author: Kathleen M. White, PhD, RN, NEA-BC, FAAN
Publisher: Springer Publishing Company
Total Pages: 540
Release: 2024-05-15
Genre: Medical
ISBN: 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

Translation of Evidence into Nursing and Health Care, Second Edition

by Kathleen M. White, PhD, RN, NEA-BC, FAAN
Translation of Evidence into Nursing and Health Care, Second Edition
Author: Kathleen M. White, PhD, RN, NEA-BC, FAAN
Publisher: Springer Publishing Company
Total Pages: 472
Release: 2016-03-17
Genre: Medical
ISBN: 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

Nursing Research Using Data Analysis

by Mary De Chesnay
Nursing Research Using Data Analysis
Author: Mary De Chesnay
Publisher: Springer Publishing Company
Total Pages: 249
Release: 2014-12-05
Genre: Medical
ISBN: 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

The Health Care Data Guide

by Lloyd P. Provost
The Health Care Data Guide
Author: Lloyd P. Provost
Publisher: John Wiley & Sons
Total Pages: 480
Release: 2011-12-06
Genre: Medical
ISBN: 1118085884
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The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide. Practical and step-by-step, this book spotlights statistical process control (SPC) and develops a philosophy, a strategy, and a set of methods for ongoing improvement to yield better outcomes. Provost and Murray reveal how to put SPC into practice for a wide range of applications including evaluating current process performance, searching for ideas for and determining evidence of improvement, and tracking and documenting sustainability of improvement. A comprehensive overview of graphical methods in SPC includes Shewhart charts, run charts, frequency plots, Pareto analysis, and scatter diagrams. Other topics include stratification and rational sub-grouping of data and methods to help predict performance of processes. Illustrative examples and case studies encourage users to evaluate their knowledge and skills interactively and provide opportunity to develop additional skills and confidence in displaying and interpreting data. Companion Web site: www.josseybass.com/go/provost

Population Health Analytics

by Martha L. Sylvia
Population Health Analytics
Author: Martha L. Sylvia
Publisher: Jones & Bartlett Learning
Total Pages: 576
Release: 2021-03
Genre: Education
ISBN: 1284182479
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"Binding: PB"--