An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.

Data-driven techniques have improved decision-making processes for people in industries such as finance and real estate. Yet, despite promising solutions that data analytics and artificial intelligence/machine learning (ML) tools can bring to healthcare, the industry remains largely unconvinced. In this O’Reilly report, you’ll explore the potential of—and impediments to—widespread adoption of AI and ML in the medical field. You’ll also learn how extensive government regulation and resistance from the medical community have so far stymied full-scale acceptance of sophisticated data analytics in healthcare. Through interviews with several professionals working at the intersection of medicine and data science, author Mike Barlow examines five areas where the application of AI/ML strategies can spur a beneficial revolution in healthcare: Identifying risks and interventions for healthcare management of entire populations Closing gaps in care by designing plans for individual patients Supporting customized self-care treatment plans and monitoring patient health in real time Optimizing healthcare processes through data analysis to improve care and reduce costs Helping doctors and patients choose proper medications, dosages, and promising surgical options

Provides healthcare students and professionals with the foundational knowledge to integrate informatics principles into clinical practice. Key content focuses on current informatics research and practice including but not limited to: technology trends, information security advances, health information exchanges, care coordination, transition technologies, ethical and legislative aspects, social media use, mobile health, bioinformatics, knowledge management, data mining, and more. Helpful learning tools include case studies, provoking questions to prompt discussion and application of the material learned, research briefs to encourage the reader to access current research, and call-outs which focus on cutting-edge innovations, meaningful use, and patient safety.

In The Patient Revolution, author Krisa Tailor—a noted expert in health care innovation and management—explores, through the lens of design thinking, how information technology will take health care into the experience economy. In the experience economy, patients will shift to being empowered consumers who are active participants in their own care. Tailor explores this shift by creating a vision for a newly designed health care system that's focused on both sickness and wellness, and is driven by data and analytics. The new system seamlessly integrates health into our daily lives, and delivers care so uniquely personalized that no two people are provided identical treatments. Connected through data, everyone across the health care ecosystem, including clinicians, insurers, and researchers, will be able to meet individuals wherever they are in their health journey to reach the ultimate goal of keeping people healthy. The patient revolution has just begun and an exciting journey awaits us. Praise for the patient revolution "A full 50% of the US population has at least one chronic disease that requires ongoing monitoring and treatment. Our current health care system is woefully inadequate in providing these individuals with the treatment and support they need. This disparity can only be addressed through empowering patients to better care for themselves and giving providers better tools to care for their patients. Both of those solutions will require the development and application of novel technologies. In Krisa Tailor's book The Patient Revolution, a blueprint is articulated for how this could be achieved, culminating in a vision for a learning health system within 10 years." —Ricky Bloomfield, MD, Director, Mobile Technology Strategy; Assistant Professor, Duke Medicine "In The Patient Revolution, Krisa Tailor astutely points out that 80% of health is impacted by factors outside of the health care system. Amazon unfortunately knows more about our patients than we do. The prescriptive analytics she describes will allow health care providers to use big data to optimize interventions at the level of the individual patient. The use of analytics will allow providers to improve quality, shape care coordination, and contain costs. Advanced analytics will lead to personalized care and ultimately empowered patients!" —Linda Butler, MD, Vice President of Medical Affairs/Chief Medical Officer/Chief Medical Information Officer, Rex Healthcare " The Patient Revolution provides a practical roadmap on how the industry can capture value by making health and care more personalized, anticipatory, and intuitive to patient needs." —Ash Damle, CEO, Lumiata "Excellent read. For me, health care represents a unique economy—one focused on technology, but requiring a deep understanding of humanity. Ms. Tailor begins the exploration of how we provide care via the concepts of design thinking, asking how we might redesign care with an eye toward changing the experience. She does an excellent job deconstructing this from the patient experience. I look forward to a hopeful follow-up directed at changing the provider culture." —Alan Pitt, MD, Chief Medical Officer, Avizia "Whether you're a health care provider looking to gain an understanding of the health care landscape, a health data scientist, or a seasoned business pro, you'll come away with a deeper, nuanced understanding of today's evolving health care system with this book. Krisa Tailor ties together—in a comprehensive, unique way—the worlds of health care administration, clinical practice, design thinking, and business strategy and innovation." —Steven Chan, MD, MBA, University of California, Davis

This guide explains how to apply health economic evaluation techniques to both clinical trial and non-clinical trial data. Through a simple, applied approach using examples and SAS software, the book helps statisticians and researchers in health economics assess cost-effectiveness. It covers trial design, case report form design, quality of life measures, sample sizes, submissions to regulatory authorities for reimbursement, Markov models, cohort models, and decision trees. Examples and case studies are provided at the end of each chapter.

The exponential digitization of medical data has led to a transformation of the practice of medicine. This change notably raises a new complexity of issues surrounding health IT. The proper use of these communication tools, such as telemedicine, e-health, m-health the big medical data, should improve the quality of monitoring and care of patients for an information system to "human face". Faced with these challenges, the author analyses in an ethical angle the patient-physician relationship, sharing, transmission and storage of medical information, setting pins to an ethic for the digitization of medical information. Drawing on good practice recommendations closely associated with values, this model is developing tools for reflection and present the keys to understanding the decision-making issues that reflect both the technological constraints and the complex nature of human reality in medicine .

Supplying a comprehensive overview of healthcare analytics research, Healthcare Data Analytics provides an understanding of the analytical techniques currently available to solve healthcare problems. The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients. Written by prominent researchers and experts working in the healthcare domain, it sheds light on the computational challenges in the field of medical informatics.

Data-driven technologies are now being adopted, developed, funded, and deployed throughout the health care market at an unprecedented scale. But, as this O'Reilly report reveals, health care innovation contains more hurdles and requires more finesse than many tech startups expect. By paying attention to the lessons from the report's findings, innovation teams can better anticipate what they'll face, and plan accordingly. Simply put, teams looking to apply collective intelligence and "big data" platforms to health and health care problems often don't appreciate the messy details of using and making sense of data in the heavily regulated hospital IT environment. Download this report today and learn how it helps prepare startups in six areas: Complexity: An enormous domain with noisy data not designed for machine consumption Computing: Lack of standard, interoperable schema for documenting human health in a digital format Context: Lack of critical contextual metadata for interpreting health data Culture: Startup difficulties in hospital ecosystems: why innovation can be a two-edged sword Contracts: Navigating the IRB, HIPAA, and EULA frameworks Commerce: The problem of how digital health startups get paid This report represents the initial findings of a study funded by a grant from the Robert Wood Johnson Foundation. Subsequent reports will explore the results of three deep-dive projects the team pursued during the study.

Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this is not a technical book on the use of statistics and machine-learning algorithms for extracting knowledge out of data, nor a book on the intricacies of database design. Instead, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, this book is accessible to health care professionals who might not have an IT and analytics background. It includes case studies that illustrate the business processes underlying the use of big data and health analytics to improve health care delivery. Highlighting lessons learned from the case studies, the book supplies readers with the foundation required for further specialized study in health analytics and data management. Coverage includes community health information, information visualization which offers interactive environments and analytic processes that support exploration of EHR data, the governance structure required to enable data analytics and use, federal regulations and the constraints they place on analytics, and information security. Links to websites, videos, articles, and other online content that expand and support the primary learning objectives for each major section of the book are also included to help you develop the skills you will need to achieve quality improvements in health care delivery through the effective use of data and analytics.

THE PROVEN MODEL FOR DRIVING POSITIVE ORGANIZATIONAL CHANGE Cleveland Clinic has long been recognized for driving some of the best clinical outcomes in the nation, but it was not always a leader in patient experience. There was atime when this revered organization ranked among the lowest in the country in this area. Within ten years, however, it had climbed to among the highest and has emerged as the thought leader in the space. How did Cleveland Clinic turn itself around so effectively and so quickly? More important, how can you do the same with your organization? In gripping, visceral, on-the ground fashion, Service Fanatics reveals the strategies and tactics the Clinic applied to become one of today's leading patient-experience healthcare organizations--methods that seamlessly translate to any business seeking to improveits customer experience. This strategic guide covers: How the Clinic's leaders redefined the concept of patient experience and developed a strategy to improve it Critical lessons learned regarding organization, recruitment, training, and measuring service excellence Ways in which the Clinic aligned its entire workforce around its Patients First strategy How leaders improved the critical element of physician communication Rather than view patients simply as sick people who need treatment, Cleveland Clinic sees them also as important stakeholders in the organization's success. Patients are customers--who desire, pay for, and deserve the best possible care and experience during what is often a challenging time in their lives. Featuring customer service case studies, as well as invaluable insight from C-level executives at top corporations in various industries, Service Fanatics provides actionable lessons for any manager and business leader beyond healthcare. Whether you run a healthcare institution, nonprofit, or for-profit business, Service Fanatics will help you create the kind of customer experience that promises to transform your organization into an industry powerhouse.

Healthcare is changing, and data is the catalyst Data is taking over in a powerful way, and it's revolutionizing the healthcare industry. You have more data available than ever before, and applying the right analytics can spur growth. Benefits extend to patients, providers, and board members, and the technology can make centralized patient management a reality. Despite the potential for growth, many in the industry and government are questioning the value of data in health care, wondering if it's worth the investment. Data-Driven Healthcare: How Analytics and BI are Transforming the Industry tackles the issue and proves why BI is not only worth it, but necessary for industry advancement. Healthcare BI guru Laura Madsen challenges the notion that data have little value in healthcare, and shows how BI can ease regulatory reporting pressures and streamline the entire system as it evolves. Madsen illustrates how a data-driven organization is created, and how it can transform the industry. Learn why BI is a boon to providers Create powerful infographics to communicate data more effectively Find out how Big Data has transformed other industries, and how it applies to healthcare Data-Driven Healthcare: How Analytics and BI are Transforming the Industry provides tables, checklists, and forms that allow you to take immediate action in implementing BI in your organization. You can't afford to be behind the curve. The industry is moving on, with or without you. Data-Driven Healthcare: How Analytics and BI are Transforming the Industry is your guide to utilizing data to advance your operation in an industry where data-fueled growth will be the new norm.

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.

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.

In A Framework for Applying Analytics in Healthcare, Dwight McNeill shows healthcare analysts and decision-makers exactly how to adapt and apply the best analytics techniques from retail, finance, politics, and sports. McNeill describes each method in depth, presenting numerous case studies that show how these approaches have been deployed and the results that have been achieved. Most important, he explains how these methods can be successfully adapted to the most critical challenges you now face in your healthcare organization. From predictive modeling to social media, this book focuses on innovative techniques with demonstrated effectiveness and direct relevance to healthcare. You’ll discover powerful new ways to manage population health; improve patient activation, support, and experience of care; focus on health outcomes; measure what matters for team performance; make information more actionable; and build more customer-centric organizations.

In the early days of the 20th century, department store magnate JohnWanamaker famously said, "I know that half of my advertising doesn'twork. The problem is that I don't know which half." That remainedbasically true until Google transformed advertising with AdSense basedon new uses of data and analysis. The same might be said about healthcare and it's poised to go through a similar transformation as newtools, techniques, and data sources come on line. Soon we'll makepolicy and resource decisions based on much better understanding ofwhat leads to the best outcomes, and we'll make medical decisionsbased on a patient's specific biology. The result will be betterhealth at less cost. This paper explores how data analysis will help us structure thebusiness of health care more effectively around outcomes, and how itwill transform the practice of medicine by personalizing for eachspecific patient.

Ready to take your IT skills to the healthcare industry? This concise book provides a candid assessment of the US healthcare system as it ramps up its use of electronic health records (EHRs) and other forms of IT to comply with the government’s Meaningful Use requirements. It’s a tremendous opportunity for tens of thousands of IT professionals, but it’s also a huge challenge: the program requires a complete makeover of archaic records systems, workflows, and other practices now in place. This book points out how hospitals and doctors’ offices differ from other organizations that use IT, and explains what’s necessary to bridge the gap between clinicians and IT staff. Get an overview of EHRs and the differences among medical settings Learn the variety of ways institutions deal with patients and medical staff, and how workflows vary Discover healthcare’s dependence on paper records, and the problems involved in migrating them to digital documents Understand how providers charge for care, and how they get paid Explore how patients can use EHRs to participate in their own care Examine healthcare’s most pressing problem—avoidable errors—and how EHRs can both help and exacerbate it

A valuable reference for those involved in the field of ambulatory patient care, Improving Quality in Outpatient Services offers time-tested instruction on how to create a world-class outpatient program. It supplies a high-level overview of current opportunities, national quality programs, and challenges—outlining the policies, procedures, and plans required for success. Stimulating readers with a wealth of practical applications, stories, and examples, the book details the governance, medical staff, and quality structures required to create, implement, and maintain a safe and efficient outpatient program. It introduces powerful techniques for infection control, medication management, risk prevention, and the elimination of medication errors. It also: Lists mandatory policies and procedures Contains practice drills to prepare you for real-world scenarios Explains how to create a report card to measure quality at all levels Includes a sample curriculum that outlines the courseware required by OSHA and other licensing and regulatory agencies The authors address documentation and human resources factors and supply an abundance of information and resources in the appendices, including how and where to apply for certification, medical record review tools, policy and procedure checklists, and a state-by-state listing of resources available for outpatient and ambulatory programs. Explaining how to involve patients in the decision making process, the text details a proven system for evaluating quality at all levels of your organization.

This Element is an excerpt from Overhauling America's Healthcare Machine: Stop the Bleeding and Save Trillions (9780132173254) by Douglas A. Perednia. Available in print and digital formats. We’re paying more for healthcare than anyone else on in the world. Are we really getting what we’re paying for? To justify the status quo, politicians, insurers, and the media say many stupid things--as when they remind us we have the “best healthcare in the world.” The implication: We’re getting what we’re paying for, and the high price is simply the cost of being #1. But is this really true? Most of these pronouncements are consistently, suspiciously vague....

This book brings together a broad range of topics demonstrating how information and wireless technologies can be used in healthcare In this book, the authors focus on how medical information can be reliably transmitted through wireless communication networks. It explains how they can be optimized to carry medical information in various situations by utilizing readily available traditional wireless local area network (WLAN) and broadband wireless access (BWA) systems. In addition, the authors discuss consumer healthcare technology, which is becoming more popular as reduction in manufacturing cost of electronics products makes healthcare products more affordable to the general public. Finally, the book explores topics such as communication networks and services, patient monitoring, information processing, system deployment, data security and privacy, information technology in alternative medicine, multimedia and health informatics, and caring for the community. Key Features: Focuses on the transmission of medical information over wireless communication networks, and addresses topics such as communication networks and services, patient monitoring, information processing, system deployment, data security and privacy, and many others Provides an in-depth introduction to the various factors that need to be considered for supporting healthcare services with information technology Covers advancements in topics such as RFID in healthcare Discusses medical signal processing as well as ECG and signal processing techniques This book will be of interest to advanced students and professors in biomedical engineering, bioinformatics, and information engineering. Medical and IT professionals involved in specifying new facilities, healthcare practitioners in telemedicine, researchers in wireless communications and information technology, and network administrators will also find this book insightful.

The IBM WebSphere Business Integration for Healthcare Collaborative Network is an internet-based, private information network that enables secure transmission of clinical data to healthcare participants. Healthcare Collaborative Network enables immediacy in the dissemination of clinical data and provides participants with capabilities to detect and respond rapidly to health risks such as adverse drug effects, to manage quality of care, and to implement monitoring and warning systems for detecting the onset of dangerous infectious diseases or bioterrorist attacks. This IBM IBM Redbooks publication provides a first-hand guide for creating solutions based on the IBM WebSphere Business Integration for Healthcare Collaborative Network. It includes an example scenario of a public health alert based on Avian Influenza (bird flu) and Avian Influenza A (H5N1). Healthcare Collaborative Network is aimed at hospitals and large groups of medical or dental practices, international and government agencies, pharmaceutical companies, and major insurance companies.