Tableau For Healthcare Third Edition

Designed specifically for health and healthcare professionals by the healthcare, data-visualization, and report-design experts at HealthDataViz, this book introduces and details Tableau Desktop's outstanding data-analysis and dashboard-creation features. The book is designed so that any chart, dashboard, or story chapter the reader chooses enables its creation from start to finish, including: Discussion of a particular chart type and its use(s), Explanation of source and meaning of example data, Logical, easy to follow, step-by-step instructions for building a chart, Detailed screen shots of each step with call-outs on tips, tricks and best practices, Crucial insight into the core narrative of each finished chart. The book also addresses data connection and manipulation, parameters, calculated fields, table calculations, forecasting, tooltips, Story Points, and report distribution. Clearly explained sample dashboards in the final chapter offer effective models to guide and inspire readers as they create their own. The data used for each example in this book is available for download at HealthDataViz.com, allowing users to enjoy a full immersive learning experience with real, current healthcare data.

Updated for Tableau 10 this third edition of The Best Boring Book EverTM of Tableau for Healthcare is the first and only one of its kind. Designed specifically for health and healthcare professionals by the healthcare, data-visualization, and report-design experts at HealthDataViz, this book introduces and details Tableau Desktop's outstanding data-analysis and dashboard-creation features.The book is designed so that any chart, dashboard, or story chapter the reader chooses enables its creation from start to finish, including: * Discussion of a particular chart type and its use(s) * Explanation of source and meaning of example data * Logical, easy to follow, step-by-step instructions for building a chart * Detailed screen shots of each step with call-outs on tips, tricks and best practices * Crucial insight into the core narrative of each finished chart * Concise, handy HDVizoomTM quick-reference presentation of each chapter's complete instructions The book also addresses data connection and manipulation, parameters, calculated fields, table calculations, forecasting, tooltips, Story Points, and report distribution. Clearly explained sample dashboards in the final chapter offer effective models to guide and inspire readers as they create their own. Bonus resource! The data used for each example in this book is available for download at HealthDataViz.com, allowing users to enjoy a full immersive learning experience with real, current healthcare data.

Updated for Tableau 9 this second edition of The Best Boring Book EverTM of Tableau for Healthcare is the first and only one of its kind. Designed specifically for healthcare professionals by the healthcare, data-visualization, and report-design experts at HealthDataViz, this book introduces and details Tableau Desktop's outstanding data-analysis and dashboard-creation features. The first half of the book is designed so that any chapter the reader chooses enables creation of a chart and dashboard from start to finish. Each includes: *Discussion of a particular chart type and its use(s) *Explanation of source and meaning of example data *Logical, easy to follow, step-by-step instructions for building a chart *Detailed screen shots of each step with call-outs on tips, tricks and best practices *Crucial insight into the core narrative of each finished chart *Concise, handy HDVizoomTM quick-reference presentation of each chapter's complete instructions The book's second half addresses intermediate to advanced topics: data source manipulation, parameters, calculated fields, table calculations, level of detail expressions (new in Tableau 9!), forecasting, tooltips, Story Points, and report distribution. Clearly explained sample dashboards in the final chapter offer effective models to guide and inspire readers as they create their own. Bonus resource! The data used for each example in this book is available for download at HealthDataViz.com, allowing users to enjoy a full immersive learning experience with real, current healthcare data.

Winner of two first place AJN Book of the Year Awards! This award-winning resource uniquely integrates national goals with nursing practice to achieve safe, efficient quality of care through technology management. The heavily revised third edition emphasizes the importance of federal policy in digitally transforming the U.S. healthcare delivery system, addressing its evolution and current policy initiatives to engage consumers and promote interoperability of the IT infrastructure nationwide. It focuses on ways to optimize the massive U.S. investment in HIT infrastructure and examines usability, innovative methods of workflow redesign, and challenges with electronic clinical quality measures (eCQMs). Additionally, the text stresses documentation challenges that relate to usability issues with EHRs and sub-par adoption and implementation. The third edition also explores data science, secondary data analysis, and advanced analytic methods in greater depth, along with new information on robotics, artificial intelligence, and ethical considerations. Contributors include a broad array of notable health professionals, which reinforces the book's focus on interprofessionalism. Woven throughout are the themes of point-of-care applications, data management, and analytics, with an emphasis on the interprofessional team. Additionally, the text fosters an understanding of compensation regulations and factors. New to the Third Edition: Examines current policy initiatives to engage consumers and promote nationwide interoperability of the IT infrastructure Emphasizes usability, workflow redesign, and challenges with electronic clinical quality measures Covers emerging challenge proposed by CMS to incorporate social determinants of health Focuses on data science, secondary data analysis, citizen science, and advanced analytic methods Revised chapter on robotics with up-to-date content relating to the impact on nursing practice New information on artificial intelligence and ethical considerations New case studies and exercises to reinforce learning and specifics for managing public health during and after a pandemic COVID-19 pandemic-related lessons learned from data availability, data quality, and data use when trying to predict its impact on the health of communities Analytics that focus on health inequity and how to address it Expanded and more advanced coverage of interprofessional practice and education (IPE) Enhanced instructor package Key Features: Presents national standards and healthcare initiatives as a guiding structure throughout Advanced analytics is reflected in several chapters such as cybersecurity, genomics, robotics, and specifically exemplify how artificial intelligence (AI) and machine learning (ML) support related professional practice Addresses the new re-envisioned AACN essentials Includes chapter objectives, case studies, end-of-chapter exercises, and questions to reinforce understanding Aligned with QSEN graduate-level competencies and the expanded TIGER (Technology Informatics Guiding Education Reform) competencies.

Build, design, and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep Builder, Tableau Hyper, and Tableau Server Key FeaturesMaster new features in Tableau 2021 to solve real-world analytics challengesPerform geo-spatial, time series, and self-service analytics using real-life examplesBuild and publish dashboards and explore storytelling using Python and R integration supportBook Description Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you'll be able to perform data preparation and handling easily. You'll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you'll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You'll also learn about improving dashboard performance, connecting to Tableau Server and understanding data visualization with examples. Finally, you'll cover advanced use cases such as self-service analysis, time series analysis, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you'll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain. What you will learnGet up to speed with various Tableau componentsMaster data preparation techniques using Tableau Prep BuilderDiscover how to use Tableau to create a PowerPoint-like presentationUnderstand different Tableau visualization techniques and dashboard designsInteract with the Tableau server to understand its architecture and functionalitiesStudy advanced visualizations and dashboard creation techniquesBrush up on powerful self-service analytics, time series analytics, and geo-spatial analyticsWho this book is for This book is designed for business analysts, business intelligence professionals and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. The book is ideal if you have a good understanding of Tableau and want to take your skills to the next level.

Health informatics is the discipline concerned with the management of healthcare data and information through the application of computers and other information technologies. The field focuses more on identifying and applying information in the healthcare field and less on the technology involved. Our goal is to stimulate and educate healthcare and IT professionals and students about the key topics in this rapidly changing field. This seventh edition reflects the current knowledge in the topics listed below and provides learning objectives, key points, case studies and extensive references. Available as a paperback and eBook. Visit the textbook companion website at http://informaticseducation.org for more information.--Page 4 de la couverture.

A two-time AJN Book of the Year Award winner and a 2013 Doody Core Title! This distinguished text provides top-tier guidance for advanced practice nurses on how to perform a comprehensive systematic review of available research to inform scholarly work, particularly in DNP and PhD programs. With a strategic focus on the search process and assessing the quality of the evidence, this text presents, clearly and comprehensively, all of the knowledge and skills necessary to conduct a foundational CSR in eight concrete steps. This text examines how to write a CSR proposal, final report, and a policy brief based on systematic review findings. Two finished proposals and two completed systematic reviews demonstrate each step of the process from start to finish. Additionally, the text covers software used in research queries and provides helpful strategies for effectively using the search function when seeking information. The Third Edition offers four new chapters with incisive recommendations for performing a CSR and addressing new ways CSR is being implemented in today’s healthcare environment. It describes the latest methodological advances, including living systematic reviews and dominance scores for economic review. Two complete CSRs along with new and updated examples throughout the book further aid readers in their pursuit of excellence in scholarly work. New to the Third Edition: New Chapters: How to choose the right critical appraisal tool Writing the final report and disseminating the results of systematic reviews Disseminating results with how to write a policy brief and/or press release on CSR results Example of a meta-analysis using GRADE Offers increased focus on dissemination Includes new and updated examples reflecting latest trends in nursing scholarly work Key Features: Provides the knowledge and skills necessary to conduct a CSR from start to finish Teaches readers how to conduct high-quality systematic reviews Instructs readers on pertinent resources and methods for optimal library-related systematic review research efforts Describes how to best search research databases to facilitate scholarly work Includes objectives, summary points, end-of-chapter exercises, discussion questions, suggested reading, and references to enhance understanding