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Author: Martha L. Sylvia, PhD, MBA, RN Publisher: Springer Publishing Company ISBN: 0826142788 Category : Medical Languages : en Pages : 396
Book Description
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
Author: Martha L. Sylvia, PhD, MBA, RN Publisher: Springer Publishing Company ISBN: 0826142788 Category : Medical Languages : en Pages : 396
Book Description
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
Author: Martha L. Sylvia, PhD, MBA, RN Publisher: Springer Publishing Company ISBN: 0826163246 Category : Medical Languages : en Pages : 495
Book Description
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
Author: Martha L. Sylvia Publisher: Jones & Bartlett Learning ISBN: 1284251101 Category : Medical Languages : en Pages : 576
Book Description
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.
Author: Kathleen M. White, PhD, RN, NEA-BC, FAAN Publisher: Springer Publishing Company ISBN: 082611783X Category : Medical Languages : en Pages : 430
Book Description
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
Author: Nilanjan Dey Publisher: Academic Press ISBN: 0128156368 Category : Science Languages : en Pages : 340
Book Description
Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. Covers data analysis, management and security concepts and tools in the healthcare domain Highlights electronic medical health records and patient information records Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining Includes multidisciplinary contributions in relation to healthcare applications and challenges
Author: Kathleen M. White, PhD, RN, NEA-BC, FAAN Publisher: Springer Publishing Company ISBN: 0826191169 Category : Medical Languages : en Pages : 540
Book Description
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
Author: MyoungJin Kim Publisher: Jones & Bartlett Publishers ISBN: 1284088375 Category : Medical Languages : en Pages : 428
Book Description
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.
Author: Dr. Wanda Bonnel, PhD, RN Publisher: Springer Publishing Company ISBN: 0826144438 Category : Medical Languages : en Pages : 280
Book Description
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
Author: Mary De Chesnay Publisher: Springer Publishing Company ISBN: 082612688X Category : Medical Languages : en Pages : 249
Book Description
Nursing Research Using Data Analysis: Qualitative Designs and Methods in Nursing is one book in a series of seven volumes that presents concise, how-to guides to conducting qualitative research -- for novice researchers and specialists seeking to develop or expand their competency, health institution research divisions, in-service educators and students, and graduate nursing educators and students.
Author: Martha L. Sylvia, PhD, MBA, RN
Author: Martha L. Sylvia, PhD, MBA, RN
Author: Martha L. Sylvia, PhD, MBA, RN
Author: Martha L. Sylvia
Author: Kathleen M. White, PhD, RN, NEA-BC, FAAN
Author: Nilanjan Dey
Author: Martha L. Sylvia
Author: Kathleen M. White, PhD, RN, NEA-BC, FAAN
Author: MyoungJin Kim
Author: Dr. Wanda Bonnel, PhD, RN
Author: Mary De Chesnay