Predictive Analytics In Healthcare Volume1 Transforming The Future Of Medicine

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Predictive Analytics in Healthcare, Volume1: Transforming the Future of Medicine

Author : Vinithasree Subbhuraam
Publisher : IOP Publishing Limited
Page : 174 pages
File Size : 41,8 Mb
Release : 2021-12-17
Category : Technology & Engineering
ISBN : 0750323108

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Predictive Analytics in Healthcare, Volume1: Transforming the Future of Medicine by Vinithasree Subbhuraam Pdf

Healthcare delivery is progressing into a format wherein analysis of a combination of disease data and patient data using predictive analytics provides additional information for physicians and healthcare providers to make more accurate detection, diagnosis, and treatment decisions. This is a unique book offering a novel course on Predictive Analytics in Healthcare. In this book, the focus in chapters is placed on reviewing and analysing the current and future applications of analytics in several health care disciplines, which can, later on, contribute to technical implementation. This book aims to provide comprehensive information to guide physicians, medical students, hospital administrators, biomedical engineering students, data scientists, and the industry in the proper identification of analytics applications in healthcare. Key Features Presents an overview of Predictive Analytics for physicians, medical students, biomedical engineers, and data scientists in the health care domain. Identifies and presents the several existing applications of analytics in healthcare domains such as public health, women's health, telemedicine, and neurology, so that readers specializing in the particular field can have a comprehensive overview of all methodologies already in place. Enables readers to identify what new applications are needed to advance the use of analytics in their field. Presents case studies for the reader to understand how to us predictive analytics to bring their ideas to fruition.

Predictive Analytics in Healthcare

Author : Vinithasree Subbhuraam
Publisher : Unknown
Page : 0 pages
File Size : 54,5 Mb
Release : 2021
Category : Forecasting
ISBN : 0750323124

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Predictive Analytics in Healthcare by Vinithasree Subbhuraam Pdf

Healthcare delivery is progressing into a format wherein analysis of a combination of disease data and patient data using predictive analytics provides additional information for physicians and healthcare providers to make more accurate detection, diagnosis, and treatment decisions. This is a unique book offering a novel course on Predictive Analytics in Healthcare.

Transforming Healthcare Analytics

Author : Michael N. Lewis,Tho H. Nguyen
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 43,5 Mb
Release : 2020-03-24
Category : Business & Economics
ISBN : 9781119613589

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Transforming Healthcare Analytics by Michael N. Lewis,Tho H. Nguyen Pdf

Real-life examples of how to apply intelligence in the healthcare industry through innovative analytics Healthcare analytics offers intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively. Transforming Healthcare Analytics: The Quest for Healthy Intelligence shares real-world use cases of a healthcare company that leverages people, process, and advanced analytics technology to deliver exemplary results. This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors—a data management and analytics specialist and a healthcare finance executive—share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence to prepare for the future, and more. This book: Explores innovative technologies to overcome data complexity in healthcare Highlights how analytics can help with healthcare market analysis to gain competitive advantage Provides strategies for building a strong foundation for healthcare intelligence Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment Discusses the future of technology and focus areas in the healthcare industry Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important source of information for CFO’s, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.

Analytics in Healthcare

Author : Christo El Morr,Hossam Ali-Hassan
Publisher : Springer
Page : 105 pages
File Size : 49,5 Mb
Release : 2019-01-21
Category : Medical
ISBN : 9783030045067

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Analytics in Healthcare by Christo El Morr,Hossam Ali-Hassan Pdf

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.

Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2071 pages
File Size : 52,5 Mb
Release : 2019-12-06
Category : Medical
ISBN : 9781799812050

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Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

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.

Transforming Healthcare with Big Data and AI

Author : Mingbo Gong,Anna Farzindar,Alex Liu
Publisher : IAP
Page : 185 pages
File Size : 51,7 Mb
Release : 2020-04-01
Category : Computers
ISBN : 9781641138994

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Transforming Healthcare with Big Data and AI by Mingbo Gong,Anna Farzindar,Alex Liu Pdf

Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field. This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

Big Data Analytics in Healthcare

Author : Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki
Publisher : Springer Nature
Page : 187 pages
File Size : 55,5 Mb
Release : 2019-10-01
Category : Technology & Engineering
ISBN : 9783030316723

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Big Data Analytics in Healthcare by Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki Pdf

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.

Emerging Technologies in Healthcare

Author : Matthew N. O. Sadiku,Rotimi A. K. Jaiyesimi,Joyce B. Idehen,Sarhan M. Musa
Publisher : AuthorHouse
Page : 483 pages
File Size : 47,5 Mb
Release : 2021-10-05
Category : Medical
ISBN : 9781665528429

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Emerging Technologies in Healthcare by Matthew N. O. Sadiku,Rotimi A. K. Jaiyesimi,Joyce B. Idehen,Sarhan M. Musa Pdf

Health is regarded as one of the global challenges for mankind. Healthcare is a complex system that covers processes of diagnosis, treatment, and prevention of diseases. It constitutes a fundamental pillar of the modern society. Modern healthcare is technological healthcare. Technology is everywhere. This book focuses on twenty-one emerging technologies in the healthcare industry. An emerging technology is one that holds the promise of creating a new economic engine and is trans-industrial. Emerging technological trends are rapidly transforming businesses in general and healthcare in particular in ways that we find hard to imagine. Artificial intelligence (AI), machine learning, robots, blockchain, cloud computing, Internet of things (IoT), and augmented & virtual reality are some of the technologies at the heart of this revolution and are covered in this book. The convergence of these technologies is upon us and will have a huge impact on the patient experience

Practical Data Analytics for Innovation in Medicine

Author : Gary D. Miner,Linda A. Miner,Scott Burk,Mitchell Goldstein,Robert Nisbet,Nephi Walton,Thomas Hill
Publisher : Academic Press
Page : 578 pages
File Size : 54,6 Mb
Release : 2023-02-08
Category : Computers
ISBN : 9780323952750

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Practical Data Analytics for Innovation in Medicine by Gary D. Miner,Linda A. Miner,Scott Burk,Mitchell Goldstein,Robert Nisbet,Nephi Walton,Thomas Hill Pdf

Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics. Brings a historical perspective in medical care to discuss both the current status of health care delivery worldwide and the importance of using modern predictive analytics to help solve the health care crisis Provides online tutorials on several predictive analytics systems to help readers apply their knowledge on today’s medical issues and basic research Teaches how to develop effective predictive analytic research and to create decisioning/prescriptive analytic systems to make medical decisions quicker and more accurate

Predictive Medicine

Author : Emmanuel Fombu
Publisher : Business Expert Press
Page : 237 pages
File Size : 54,8 Mb
Release : 2020-01-10
Category : Business & Economics
ISBN : 9781951527051

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Predictive Medicine by Emmanuel Fombu Pdf

Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to revolutionize the way we look at healthcare. But if we want them to achieve their full potential, we’ll need leaders who understand these new tools and who have long-term strategies in place to take advantage of them. This book will help you to become one of those leaders. Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. It’s a call-to-action for a new generation of health leaders and a roadmap to help them usher in a brighter future.

Health Analytics

Author : Jason Burke
Publisher : John Wiley & Sons
Page : 277 pages
File Size : 55,9 Mb
Release : 2013-07-10
Category : Business & Economics
ISBN : 9781118383049

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Health Analytics by Jason Burke Pdf

A hands-on, analytics road map for health industry leaders The industry-wide transformation taking place across the health and life sciences ecosystem is mandating that organizations adopt new decision-making capabilities, based on science and real-world information. Analytics will be a required competency for the modern health enterprise; this book is about how to "cross the chasm." The ultimate analytics guide for the health industry leader, this essential book equips business leaders with little-to-no experience in analytics to understand how to incorporate analytics as a cornerstone of their 21st century competitive business strategy. Paints the picture for a new health enterprise, one focused on the patient Explores the financial components of this new operating model, using analytics to optimize the tradeoffs between cost and value Deals with the rising role of the consumer, using analytics to create a completely new health engagement model with individual recipients of care Looks at how analytics can drive innovations in care practice, patient-experienced medical outcomes, and analytically driven novel therapies optimized for the individual patient Presents a variety of text, tables, and graphics illustrating the various concepts being described Within each section and chapter, Health Analytics assesses the current landscape, proposing a new model/concept, sharing real-world stories of how the old and new world come together, and framing a "how-to" for the reader in terms of growing that particular set of capabilities in their own enterprises.

Data-Driven Healthcare

Author : Laura B. Madsen
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 51,9 Mb
Release : 2014-09-23
Category : Business & Economics
ISBN : 9781118973899

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Data-Driven Healthcare by Laura B. Madsen Pdf

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.

Machine Learning and Analytics in Healthcare Systems

Author : Himani Bansal,Balamurugan Balusamy,T. Poongodi,Firoz Khan KP
Publisher : CRC Press
Page : 275 pages
File Size : 51,5 Mb
Release : 2021-06-30
Category : Technology & Engineering
ISBN : 9781000406191

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Machine Learning and Analytics in Healthcare Systems by Himani Bansal,Balamurugan Balusamy,T. Poongodi,Firoz Khan KP Pdf

Bridges the gap between engineering and medicine in combining the design and problem solving skills of engineering with health sciences Explores real-world case studies in machine learning and healthcare analytics Presents a detailed exploration of applications of machine learning in healthcare systems Provides readers with how the industry avoids some of the consequences of old methods of data sharing strategies Offers readers multiple perspectives on a variety of disciplines

Evolving Predictive Analytics in Healthcare

Author : Abhishek Kumar,Ashutosh Kumar Dubey,Surbhi Bhatia,Swarn Avinash Kumar,Dac-Nhuong Le
Publisher : IET
Page : 419 pages
File Size : 46,7 Mb
Release : 2022-08-30
Category : Computers
ISBN : 9781839535116

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Evolving Predictive Analytics in Healthcare by Abhishek Kumar,Ashutosh Kumar Dubey,Surbhi Bhatia,Swarn Avinash Kumar,Dac-Nhuong Le Pdf

This book examines machine learning trends in predictive technology to solve real-time healthcare problems. By using real-time data inputs to build predictive models, this new technology can model disease progression, assist with interventions or predict patient outcomes.

Artificial Intelligence in Healthcare: Transforming the Medical Industry

Author : Michael Roberts
Publisher : Richards Education
Page : 161 pages
File Size : 45,7 Mb
Release : 2024-06-30
Category : Computers
ISBN : 8210379456XXX

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Artificial Intelligence in Healthcare: Transforming the Medical Industry by Michael Roberts Pdf

Artificial Intelligence (AI) is revolutionizing the healthcare industry, offering unprecedented opportunities to enhance patient care, streamline clinical operations, and accelerate medical research. "Artificial Intelligence in Healthcare: Transforming the Medical Industry" is your comprehensive guide to understanding and leveraging AI technologies in the medical field. This book explores the various applications of AI in healthcare, from diagnostic tools and personalized medicine to administrative efficiency and patient management. With detailed case studies, expert insights, and practical advice, this handbook is an essential resource for healthcare professionals, technology enthusiasts, and industry leaders. Embrace the future of healthcare and discover how AI can transform the way we diagnose, treat, and manage diseases.