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"Excellent hands-on introduction to Power Bi" "Great way to learn Power BI" Power BI Academy is a series of short books that help students and professionals improve their Power Business Intelligence (BI) knowledge by creating professional dashboards through easy step-by-step instructions. Through this series, you will have the opportunity to work with datasets, metrics, and Key Performance Indicators (KPIs) from a wide range of industries, helping you become a valuable resource to any team and industry. In this book, Power BI Academy vol.2 - Healthcare, which has over 200 images, you will learn to create a unique Dashboard for the Healthcare Industry. You go through important topics of Microsoft Power BI Desktop, a Free BI tool from Microsoft. You will learn how to install Power BI Desktop, get data from Excel, model your Data, work with visuals and reports, create a Patient Overview Dashboard, and share your work. We will not go into deep theories as to the purpose of this book, and all Create and Learn material is to make the most of your time and learn by doing. You will follow step-by-step instructions to create a professional Healthcare Dashboard to help you rapidly increase your knowledge. I also hope this book will help start your journey in the Business Intelligence world and provide the necessary tools to create professional reports and dashboards using Microsoft Power BI. Check my other books: Power BI - Business Intelligence Clinic Excel - Business Intelligence Clinic Tableau - Business Intelligence Clinic
Industry professionals, government officials, and the general public often agree that the modern healthcare system is in need of an overhaul. With many organizations concerned with the long-term care of patients, new strategies, practices, and organizational tools must be developed to optimize the current healthcare system. Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications is a comprehensive source of academic material on the importance of policy and policy reform initiatives in modern healthcare systems. Highlighting a range of topics such as public health, effective care delivery, and health information systems, this multi-volume book is designed for medical practitioners, medical administrators, professionals, academicians, and researchers interested in all aspects of healthcare policy and reform.
Technology is changing the practice of healthcare by the ways medical information is stored, shared, and accessed. With mobile innovations, new strategies are unfolding to further advance processes and procedures in medical settings. Next-Generation Mobile and Pervasive Healthcare Solutions is an advanced reference source for the latest research on emerging progress and applications within mobile health initiatives and health informatics. Featuring coverage on a broad range of topics and perspectives such as electronic health records (EHR), clinical decision support systems, and medical ontologies, this publication is ideally designed for professionals and researchers seeking scholarly material on the increased use of mobile health applications.
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
From award-winning ProPublica reporter Marshall Allen, a primer for anyone who wants to fight the predatory health care system--and win. Every year, millions of Americans are overcharged and underserved while the health care industry makes record profits. We know something is wrong, but the layers of bureaucracy designed to discourage complaints make pushing back seem impossible. At least, this is what the health care power players want you to think. Never Pay the First Bill is the guerilla guide to health care the American people and employers need. Drawing on 15 years of investigating the health care industry, reporter Marshall Allen shows how companies and individuals have managed to force medical providers to play fair, and shows how you can, too. He reveals the industry's pressure points and how companies and individuals have fought overbilling, price gouging, insurance denials, and more to get the care they deserve. Laying out a practical plan for protecting yourself against the system's predatory practices, Allen offers the inspiration you need and tried-and-true strategies such as: Analyze and contest your medical bills, so you don't pay more than you should Obtain the billing codes for a procedure in advance Write in an appropriate treatment clause before signing financial documents Get your way by suing in small claims court Few politicians and CEOs have been willing to stand up to the medical industry. It is up to the American people to equip ourselves to fight back for the sake of our families--and everyone else.
Healthcare managers, professionals and service users operate in an increasingly complex environment in terms of policy, regulation and governance arrangements. The policy process is becoming pluralised as competing narratives are drawn upon to influence practice. A wide range of contradictory and inconsistent policies are on offer to healthcare stakeholders, which ultimately results in a broad spectrum of responses, adaptations and improvisations throughout the process of policy implementation. The impact on managerial and professional practice is significant: Whilst some voices are suppressed or ignored, the complex nature of contemporary policy contexts can also help local actors exercise their agency and advance their agenda. This edited volume investigates how contemporary policy trends are influencing healthcare systems, organisations and professions and explores the various ways in which policy implementation could be enacted, resisted and reinvented by healthcare managers and professionals on the ground. It sheds light on the complex web of connections that exist between policy development (Part I), its translation into practice (Part II), and the activities of organisational leaders who are trying their best to make sense of – and succeed in – challenging policy contexts (Part III).
If you want to learn Business Intelligence software, if you are looking for specific BI tool, or if you are trying to decide on your next new BI solution, you will love Business Intelligence Clinic. One dataset, multiple solutions: Each book is about a different BI software, and you will follow step-by-step instructions to create a professional sales dashboard with the same friendly dataset. The BI Clinic series is suitable for everyone - managers, analysts, students... - It will help you compare different Business Intelligence tools, learn the basics, and select the best for your project, company, customers, or personal needs. In this Create and Learn book, Power BI - Business Intelligence Clinic with more than 300 images (Color Version), you will you go through important topics of Microsoft Power BI Desktop - a Free BI tool from Microsoft. You will learn how to install Power BI Desktop, get data, model your data, work with visuals and reports, create a sales dashboard, and share your work with others. We will not go into deep theories as the purpose of this book and all Create and Learn material is to make the most of your time and to learn by doing. You will follow step-by-step instructions to create a professional sales dashboard, and eight warm-up dashboards to help you rapidly increase your Power BI knowledge. I hope this book will help you to start your journey in the Business Intelligence world and give you the right tools to start building professional reports and dashboards using Microsoft Power BI. Thank you for creating and learning. Roger F. Silva For Kindle ebook, or Black & White (cheaper than color), versions use this link: https://www.amazon.com/dp/B07J3DLBXK Check the Business Intelligence Clinic series One dataset, multiple solutions: Power BI - Business Intelligence Clinic Excel - Business Intelligence Clinic Tableau - Business Intelligence Clinic Qlik - Business Intelligence Clinic
A government takeover of the US health care system has never looked more plausible. Support for the idea is at an all-time high. Two-thirds of Democratic voters favor “single-payer” health care; even one in four Republicans is on board. In this Broadside, Sally C. Pipes makes the case against single-payer by offering evidence of its devastating effects on patients in Canada, the United Kingdom, and even the United States. Long wait times, substandard care, lack of access to innovative treatments, huge public outlays, and spiraling costs are endemic to single-payer. Those are hardly outcomes we should consider foisting upon the American health care system.
Racial and ethnic disparities in health care are known to reflect access to care and other issues that arise from differing socioeconomic conditions. There is, however, increasing evidence that even after such differences are accounted for, race and ethnicity remain significant predictors of the quality of health care received. In Unequal Treatment, a panel of experts documents this evidence and explores how persons of color experience the health care environment. The book examines how disparities in treatment may arise in health care systems and looks at aspects of the clinical encounter that may contribute to such disparities. Patients' and providers' attitudes, expectations, and behavior are analyzed. How to intervene? Unequal Treatment offers recommendations for improvements in medical care financing, allocation of care, availability of language translation, community-based care, and other arenas. The committee highlights the potential of cross-cultural education to improve provider-patient communication and offers a detailed look at how to integrate cross-cultural learning within the health professions. The book concludes with recommendations for data collection and research initiatives. Unequal Treatment will be vitally important to health care policymakers, administrators, providers, educators, and students as well as advocates for people of color.
This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX’s remarkable power and flexibility, this no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI Master core DAX concepts, including calculated columns, measures, and error handling Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions Perform time-based calculations: YTD, MTD, previous year, working days, and more Work with expanded tables, complex functions, and elaborate DAX expressions Perform calculations over hierarchies, including parent/child hierarchies Use DAX to express diverse and unusual relationships Measure DAX query performance with SQL Server Profiler and DAX Studio