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Author: Sanket Shah
Publisher:
ISBN:
Category :
Languages : en
Pages : 76
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Book Description
The healthcare industry faces growing concerns over data-and analytics. How do you make use of all of this information? More importantly, how do I better understand the healthcare analytic landscape? Enter "Healthcare Analytics 101: A Comprehensive Guide." Whether you're a seasoned pro or a first-year student, this book will help you better understand the current state of healthcare, the "problem" with all the data, and its uses, types, and categories. It also explores an array of next-gen tools and analytic solutions to age-old problems as well as discusses poignant privacy and security concerns as we look ahead. Topics covered: Moving the Science Forward▪Traditional vs. Non-Traditional Data▪Claims Data▪EHRs, Registries & Surveys▪Social Determinants▪Consumer Data▪Platforms & Languages▪Coded Data▪Analytic Applications▪Important Changes▪ Predictive Analytics▪Benefits of Predictive Analytics▪Disrupting an Industry▪Wearables & Other Tech▪Case Study▪Privacy & Safe Harbor▪PII & PHI▪HIPAA Compliance▪Privacy & Mental Health▪Identifying Trends▪Glossary
Author: Sanket Shah
Publisher:
ISBN:
Category :
Languages : en
Pages : 76
Get Book
Book Description
The healthcare industry faces growing concerns over data-and analytics. How do you make use of all of this information? More importantly, how do I better understand the healthcare analytic landscape? Enter "Healthcare Analytics 101: A Comprehensive Guide." Whether you're a seasoned pro or a first-year student, this book will help you better understand the current state of healthcare, the "problem" with all the data, and its uses, types, and categories. It also explores an array of next-gen tools and analytic solutions to age-old problems as well as discusses poignant privacy and security concerns as we look ahead. Topics covered: Moving the Science Forward▪Traditional vs. Non-Traditional Data▪Claims Data▪EHRs, Registries & Surveys▪Social Determinants▪Consumer Data▪Platforms & Languages▪Coded Data▪Analytic Applications▪Important Changes▪ Predictive Analytics▪Benefits of Predictive Analytics▪Disrupting an Industry▪Wearables & Other Tech▪Case Study▪Privacy & Safe Harbor▪PII & PHI▪HIPAA Compliance▪Privacy & Mental Health▪Identifying Trends▪Glossary
Author: Christo El Morr
Publisher: Springer
ISBN: 3030045064
Category : Medical
Languages : en
Pages : 105
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Book Description
This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.
Author: Trevor L. Strome
Publisher: John Wiley & Sons
ISBN: 1118760158
Category : Business & Economics
Languages : en
Pages : 246
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Book Description
Improve patient outcomes, lower costs, reduce fraud—all with healthcare analytics Healthcare Analytics for Quality and Performance Improvement walks your healthcare organization from relying on generic reports and dashboards to developing powerful analytic applications that drive effective decision-making throughout your organization. Renowned healthcare analytics leader Trevor Strome reveals in this groundbreaking volume the true potential of analytics to harness the vast amounts of data being generated in order to improve the decision-making ability of healthcare managers and improvement teams. Examines how technology has impacted healthcare delivery Discusses the challenge facing healthcare organizations: to leverage advances in both clinical and information technology to improve quality and performance while containing costs Explores the tools and techniques to analyze and extract value from healthcare data Demonstrates how the clinical, business, and technology components of healthcare organizations (HCOs) must work together to leverage analytics Other industries are already taking advantage of big data. Healthcare Analytics for Quality and Performance Improvement helps the healthcare industry make the most of the precious data already at its fingertips for long-overdue quality and performance improvement.
Author: Chandan K. Reddy
Publisher: CRC Press
ISBN: 148223212X
Category : Business & Economics
Languages : en
Pages : 756
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Book Description
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799812057
Category : Medical
Languages : en
Pages : 2071
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Book Description
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.
Author: Dwight McNeill
Publisher: Pearson Education
ISBN: 0133407330
Category : Business & Economics
Languages : en
Pages : 351
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Book Description
Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field's current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow's advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA's team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.
Author: Kosta Tzavaras
Publisher: Trafford
ISBN: 9781412002707
Category : Medical
Languages : en
Pages : 273
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Book Description
Author: Vikas (Vik) Kumar
Publisher: Packt Publishing Ltd
ISBN: 1787283224
Category : Computers
Languages : en
Pages : 258
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Book Description
Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python and SQL Build predictive models on real healthcare data with pandas and scikit-learn Use analytics to improve healthcare performance Book Description In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. What you will learn Gain valuable insight into healthcare incentives, finances, and legislation Discover the connection between machine learning and healthcare processes Use SQL and Python to analyze data Measure healthcare quality and provider performance Identify features and attributes to build successful healthcare models Build predictive models using real-world healthcare data Become an expert in predictive modeling with structured clinical data See what lies ahead for healthcare analytics Who this book is for Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. This book can also serve as a textbook for students enrolled in an introductory course on machine learning for healthcare.
Author: Laura B. Madsen
Publisher: John Wiley & Sons
ISBN: 1118973895
Category : Business & Economics
Languages : en
Pages : 224
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Book Description
Healthcare is changing, and data is the catalyst Data is taking over in a powerful way, and it's revolutionizingthe healthcare industry. You have more data available than everbefore, and applying the right analytics can spur growth. Benefitsextend to patients, providers, and board members, and thetechnology can make centralized patient management a reality.Despite the potential for growth, many in the industry andgovernment are questioning the value of data in health care,wondering if it's worth the investment. Data-Driven Healthcare: How Analytics and BI are Transformingthe Industry tackles the issue and proves why BI is not onlyworth it, but necessary for industry advancement. Healthcare BIguru Laura Madsen challenges the notion that data have little valuein healthcare, and shows how BI can ease regulatory reportingpressures and streamline the entire system as it evolves. Madsenillustrates how a data-driven organization is created, and how itcan transform the industry. Learn why BI is a boon to providers Create powerful infographics to communicate data moreeffectively Find out how Big Data has transformed other industries, and howit applies to healthcare Data-Driven Healthcare: How Analytics and BI are Transformingthe Industry provides tables, checklists, and forms that allowyou to take immediate action in implementing BI in yourorganization. You can't afford to be behind the curve. The industryis moving on, with or without you. Data-Driven Healthcare: HowAnalytics and BI are Transforming the Industry is your guide toutilizing data to advance your operation in an industry wheredata-fueled growth will be the new norm.
Author: Skolnik
Publisher: Jones & Bartlett Publishers
ISBN: 1284050548
Category : Medical
Languages : en
Pages : 618
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Book Description
Rated by an independent panel as the best introductory Global Health text for undergraduates, Global Health 101, Third Edition is a clear, concise, and user-friendly introduction to the most critical issues in global health. It illustrates key themes with an extensive set of case studies, examples, and the latest evidence. Particular attention is given to the health-development link, to developing countries, and to the health needs of poor and disadvantaged people. The Third Edition is a thorough revision that offers an extensive amount of new and updated information, while maintaining clarity, simplicity, and ease of use for faculty and students. Offering the latest data on the burden of disease, the book presents unique content on key topics that are often insufficiently covered in introductory materials, such as immunization and adolescent health.
