Handbook Of Healthcare Analytics

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Handbook of Healthcare Analytics

Tinglong Dai,Sridhar Tayur
Handbook of Healthcare Analytics Book PDF

Author : Tinglong Dai,Sridhar Tayur
Publisher : John Wiley & Sons
Page : 480 pages
File Size : 43,5 Mb
Release : 2018-08-10
Category : Business & Economics
ISBN : 9781119300953

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Handbook of Healthcare Analytics by Tinglong Dai,Sridhar Tayur Pdf

How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century? Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrusts—such as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among others—and structures what has been a highly fragmented research area into a coherent scientific discipline. The handbook also provides an easy-to-comprehend introduction to five essential research tools—Markov decision process, game theory and information economics, queueing games, econometric methods, and data science—by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts. The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective—a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable—can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately. Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose. The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course.

Medical Data Privacy Handbook

Aris Gkoulalas-Divanis,Grigorios Loukides
Medical Data Privacy Handbook Book PDF

Author : Aris Gkoulalas-Divanis,Grigorios Loukides
Publisher : Springer
Page : 832 pages
File Size : 55,9 Mb
Release : 2015-11-26
Category : Computers
ISBN : 9783319236339

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Medical Data Privacy Handbook by Aris Gkoulalas-Divanis,Grigorios Loukides Pdf

This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors’ comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.

Handbook on Intelligent Healthcare Analytics

A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily
Handbook on Intelligent Healthcare Analytics Book PDF

Author : A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 50,7 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9781119791799

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Handbook on Intelligent Healthcare Analytics by A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily Pdf

HANDBOOK OF INTELLIGENT HEALTHCARE ANALYTICS The book explores the various recent tools and techniques used for deriving knowledge from healthcare data analytics for researchers and practitioners. The power of healthcare data analytics is being increasingly used in the industry. Advanced analytics techniques are used against large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information. A Handbook on Intelligent Healthcare Analytics covers both the theory and application of the tools, techniques, and algorithms for use in big data in healthcare and clinical research. It provides the most recent research findings to derive knowledge using big data analytics, which helps to analyze huge amounts of real-time healthcare data, the analysis of which can provide further insights in terms of procedural, technical, medical, and other types of improvements in healthcare. In addition, the reader will find in this Handbook: Innovative hybrid machine learning and deep learning techniques applied in various healthcare data sets, as well as various kinds of machine learning algorithms existing such as supervised, unsupervised, semi-supervised, reinforcement learning, and guides how readers can implement the Python environment for machine learning; An exploration of predictive analytics in healthcare; The various challenges for smart healthcare, including privacy, confidentiality, authenticity, loss of information, attacks, etc., that create a new burden for providers to maintain compliance with healthcare data security. In addition, this book also explores various sources of personalized healthcare data and the commercial platforms for healthcare data analytics. Audience Healthcare professionals, researchers, and practitioners who wish to figure out the core concepts of smart healthcare applications and the innovative methods and technologies used in healthcare will all benefit from this book.

Healthcare Analytics for Quality and Performance Improvement

Trevor L. Strome
Healthcare Analytics for Quality and Performance Improvement Book PDF

Author : Trevor L. Strome
Publisher : John Wiley & Sons
Page : 246 pages
File Size : 49,9 Mb
Release : 2013-10-02
Category : Business & Economics
ISBN : 9781118760154

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Healthcare Analytics for Quality and Performance Improvement by Trevor L. Strome Pdf

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.

Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H.
Handbook of Research on Data Science for Effective Healthcare Practice and Administration Book PDF

Author : Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H.
Publisher : IGI Global
Page : 545 pages
File Size : 52,8 Mb
Release : 2017-07-20
Category : Computers
ISBN : 9781522525165

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Handbook of Research on Data Science for Effective Healthcare Practice and Administration by Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H. Pdf

Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.

Healthcare Interoperability Standards Compliance Handbook

Frank Oemig,Robert Snelick
Healthcare Interoperability Standards Compliance Handbook Book PDF

Author : Frank Oemig,Robert Snelick
Publisher : Springer
Page : 662 pages
File Size : 55,9 Mb
Release : 2016-12-18
Category : Medical
ISBN : 9783319448398

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Healthcare Interoperability Standards Compliance Handbook by Frank Oemig,Robert Snelick Pdf

This book focuses on the development and use of interoperability standards related to healthcare information technology (HIT) and provides in-depth discussion of the associated essential aspects. The book explains the principles of conformance, examining how to improve the content of healthcare data exchange standards (including HL7 v2.x, V3/CDA, FHIR, CTS2, DICOM, EDIFACT, and ebXML), the rigor of conformance testing, and the interoperability capabilities of healthcare applications for the benefit of healthcare professionals who use HIT, developers of HIT applications, and healthcare consumers who aspire to be recipients of safe and effective health services facilitated through meaningful use of well-designed HIT. Readers will understand the common terms interoperability, conformance, compliance and compatibility, and be prepared to design and implement their own complex interoperable healthcare information system. Chapters address the practical aspects of the subject matter to enable application of previously theoretical concepts. The book provides real-world, concrete examples to explain how to apply the information, and includes many diagrams to illustrate relationships of entities and concepts described in the text. Designed for professionals and practitioners, this book is appropriate for implementers and developers of HIT, technical staff of information technology vendors participating in the development of standards and profiling initiatives, informatics professionals who design conformance testing tools, staff of information technology departments in healthcare institutions, and experts involved in standards development. Healthcare providers and leadership of provider organizations seeking a better understanding of conformance, interoperability, and IT certification processes will benefit from this book, as will students studying healthcare information technology.

Healthcare Analytics

Hui Yang,Eva K. Lee
Healthcare Analytics Book PDF

Author : Hui Yang,Eva K. Lee
Publisher : John Wiley & Sons
Page : 632 pages
File Size : 54,5 Mb
Release : 2016-10-10
Category : Business & Economics
ISBN : 9781119374664

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Healthcare Analytics by Hui Yang,Eva K. Lee Pdf

Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: • Contributions from well-known international experts who shed light on new approaches in this growing area • Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations • Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry • Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments.

Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Elham Akhond Zadeh Noughabi,Bijan Raahemi,Amir Albadvi,Behrouz H. Far
Handbook of Research on Data Science for Effective Healthcare Practice and Administration Book PDF

Author : Elham Akhond Zadeh Noughabi,Bijan Raahemi,Amir Albadvi,Behrouz H. Far
Publisher : Medical Information Science Reference
Page : 0 pages
File Size : 47,7 Mb
Release : 2017
Category : Computers
ISBN : 1522525173

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Handbook of Research on Data Science for Effective Healthcare Practice and Administration by Elham Akhond Zadeh Noughabi,Bijan Raahemi,Amir Albadvi,Behrouz H. Far Pdf

Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.

Healthcare Data Analytics

Chandan K. Reddy,Charu C. Aggarwal
Healthcare Data Analytics Book PDF

Author : Chandan K. Reddy,Charu C. Aggarwal
Publisher : CRC Press
Page : 756 pages
File Size : 45,8 Mb
Release : 2015-06-23
Category : Business & Economics
ISBN : 9781482232127

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Healthcare Data Analytics by Chandan K. Reddy,Charu C. Aggarwal Pdf

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

Handbook of Artificial Intelligence in Healthcare

Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Handbook of Artificial Intelligence in Healthcare Book PDF

Author : Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Publisher : Springer Nature
Page : 463 pages
File Size : 52,7 Mb
Release : 2021-09-17
Category : Technology & Engineering
ISBN : 9783030791612

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Handbook of Artificial Intelligence in Healthcare by Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain Pdf

This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.

Individual Participant Data Meta-Analysis

Richard D. Riley,Jayne F. Tierney,Lesley A. Stewart
Individual Participant Data Meta Analysis Book PDF

Author : Richard D. Riley,Jayne F. Tierney,Lesley A. Stewart
Publisher : John Wiley & Sons
Page : 38 pages
File Size : 53,6 Mb
Release : 2021-06-08
Category : Medical
ISBN : 9781119333722

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Individual Participant Data Meta-Analysis by Richard D. Riley,Jayne F. Tierney,Lesley A. Stewart Pdf

Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic review Recognise the scope, resources and challenges of IPD meta-analysis projects Appreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators Understand how to obtain, check, manage and harmonise IPD from multiple studies Examine risk of bias (quality) of IPD and minimise potential biases throughout the project Understand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them Clearly report and disseminate IPD meta-analyses to inform policy, practice and future research Critically appraise existing IPD meta-analysis projects Address specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout.

Handbook of Data Science Approaches for Biomedical Engineering

Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Handbook of Data Science Approaches for Biomedical Engineering Book PDF

Author : Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Publisher : Academic Press
Page : 320 pages
File Size : 46,9 Mb
Release : 2019-11-13
Category : Science
ISBN : 9780128183199

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Handbook of Data Science Approaches for Biomedical Engineering by Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari Pdf

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Rani, Geeta,Tiwari, Pradeep Kumar
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning Book PDF

Author : Rani, Geeta,Tiwari, Pradeep Kumar
Publisher : IGI Global
Page : 586 pages
File Size : 40,8 Mb
Release : 2020-10-16
Category : Medical
ISBN : 9781799827436

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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by Rani, Geeta,Tiwari, Pradeep Kumar Pdf

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Bhushan Patil,Manisha Vohra
Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics Book PDF

Author : Bhushan Patil,Manisha Vohra
Publisher : Engineering Science Reference
Page : 128 pages
File Size : 42,5 Mb
Release : 2020
Category : Big data
ISBN : 1799830535

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Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics by Bhushan Patil,Manisha Vohra Pdf

"This book explores the application of data science and analytics in the engineering, healthcare, and business sectors"--

Medical Data Management

Florian Leiner,Wilhelm Gaus,Reinhold Haux,Petra Knaup-Gregori
Medical Data Management Book PDF

Author : Florian Leiner,Wilhelm Gaus,Reinhold Haux,Petra Knaup-Gregori
Publisher : Springer Science & Business Media
Page : 230 pages
File Size : 52,8 Mb
Release : 2003-01-14
Category : Computers
ISBN : 0387951598

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Medical Data Management by Florian Leiner,Wilhelm Gaus,Reinhold Haux,Petra Knaup-Gregori Pdf

Medical Data Management is a systematic introduction to the basic methodology of professional clinical data management. It emphasizes generic methods of medical documentation applicable to such diverse tasks as the electronic patient record, maintaining a clinical trials database, and building a tumor registry. This book is for all students in medical informatics and health information management, and it is ideal for both the undergraduate and the graduate levels. The book also guides professionals in the design and use of clinical information systems in various health care settings. It is an invaluable resource for all health care professionals involved in designing, assessing, adapting, or using clinical data management systems in hospitals, outpatient clinics, study centers, health plans, etc. The book combines a consistent theoretical foundation of medical documentation methods outlining their practical applicability in real clinical data management systems. Two new chapters detail hospital information systems and clinical trials. There is a focus on the international classification of diseases (ICD-9 and -10) systems, as well as a discussion on the difference between the two codes. All chapters feature exercises, bullet points, and a summary to provide the reader with essential points to remember. New to the Third Edition is a comprehensive section comprised of a combined Thesaurus and Glossary which aims to clarify the unclear and sometimes inconsistent terminology surrounding the topic.