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For the past few decades, Information Technology (IT) and the Healthcare industry have experienced a growing popularity from the academic, public, and commercial sectors. Healthcare organizations are realizing the enormous opportunities available for those who think analytically, with an increasing focus on data and information governance.  The biggest step is replacing legacy systems with robust, and tech-enabled systems capability of processing massive amount of data to care providers at the point of care. A majority of the past decades Health IT projects refer to these systems as “SMART” or “Intelligent”; connecting multiple disperse data sources into a centralized locations for data analysis.

Health Informatics professionals are in high demand and companies are always looking for new talent. Obtaining knowledge on this topics can be difficult and often will leave learners lost in a sea of books due to its vast knowledge base. If you’re looking for the best Health IT books that graduate level programs are using, we’ve compiled the list you’re looking for. In this post we’ll provide you suggestions on our top Health IT books that’ll help you go from newbie to Health IT Executive.

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Summary:

Introductory healthcare management text incorporates a variety of healthcare settings, from hospitals to nursing homes and clinics. Loaded with examples to engage the reader’s imagination, healthcare management’s fundamental issues, including ethics, cost management, strategic planning and marketing, information technology, and human resources, are wholly covered. Guidelines and rubrics, along with various case studies, make this book both student-friendly and teacher-friendly. It is the perfect resource for healthcare management, nursing, allied health, business administration, pharmacy, occupational therapy, public administration, and public health students. 

Key Features:

  • Chapters provided by real experts using an active voice to seize the reader’s attention
  • Instructors’ support online for each chapter, including PowerPoints, Test Bank, and Sample Syllabus
  • Refreshed case studies in a variety of environments, in an assortment of healthcare management topics
  • A case study guide, with rubrics for evaluation of student performance, allowing instructors at all levels of experience to excel on that first day of class
  • Access to Navigate 2 online learning materials, including a thorough and interactive eBook, student practice exercises and evaluations, learning analytics reporting tools and more.

Review:

The authors have done a masterful job selecting topics and authors and putting them together in a meaningful and coherent manner. Each chapter of the book gives the student the core content that must become part of each healthcare manager’s repertoire, whether entry-level or senior executive. Each chapter and accompanying cases serves to invigorate what it means to be a competent healthcare manager.


Summary:

Hardwiring Excellence offers a blueprint and practical guide for building and maintaining a culture of service and operational excellence. In the book, the author draws on his personal experience as a former hospital executive who led two organizations to the top 1% in patient satisfaction and his experience coaching hundreds of healthcare organizations since. 

Review:

Hardwiring excellence is an excellent (no pun intended) introduction to management, especially in a healthcare setting. It is relative to today’s hospital and healthcare settings. There are situations discussed that routinely occur in healthcare but probably are prevalent in other locations; readers can apply lessons to different careers and vocations. It’s an easy read and is easy to include in group discussions so that the reader get their team on the same page and path and works towards improving customer service, efficiency, teamwork, and outcomes. 

Summary:

The Leadership Challenge is a highly regarded manual for effective leadership, grounded in research and written by the premier authorities in the field. With deep insight into the workplace’s complex interpersonal dynamics, this book positions leadership both as a skill to be learned and a relationship that requires nurturing to reach its full potential. The sixth edition is revised to address current challenges and includes more international examples and a laser focus on business issues. Readers will learn how extraordinary leaders accomplish extraordinary things and develop their leadership style and skills to achieve quality results every time. Captivating stories dive into the central roles that strong leaders perform, and simple groundwork delivers a primer for readers who seek continuous improvement; by internalizing key insights and putting concepts into action, they’ll become a more effective, more impactful leader. 

Review:

The Leadership Challenge is validated by case studies, assessments, and leaders worldwide, and significant leadership studies have cited the book. It is both simple and complex, unveiling layers of depth for dedicated students and practitioners of leadership. This new edition brings the Kouzes/Posner evidence-based framework of leadership to life in all-new ways. Updated stories, current research findings, and new 4-color graphics present the power of simple behavioral changes leaders at any level can make.

The Five Practices of Exemplary Leadership, the author’s model, based on millions of real leader assessments, has transformed many lives worldwide, including mine. Reading others’ stories motivates readers to take the plunge and liberate the leader inside themselves. 

This edition is very shareable for those already steeped in this work with transparent and compelling illustrations to showcase necessary research. For those who are new to leadership development, there isn’t a better starting point. It is easy to recognize yourself in this book and become ignited to reach your fullest potential.


Summary:

This book is a practical guide to contemporary health informatics specifically written for care providers, other non-technical readers, and those entering the field. There is no technical background or knowledge assumed. The book also illustrates real-world examples and showcases the latest technologies in a concise format.

Review:

This book is applicable to readers who are interested in healthcare information systems. It is written explicitly for physicians as a quick overview of health informatics systems’ legal and political landscape as implemented in the US. Global readers might find the book interesting to compare US developments with developments in other parts of the world. 

Applicability to Health IT field:

Dr. Braunstein does a beautiful job exploring key trends in technology in the context of the transformations happening in our health care system and describes how these trends are likely to both occur and influence the evolution of current and future health IT systems. This book is accessible to non-technical as well as technical readers. It is a valuable read for any health care practitioner and health care executive, and those individuals contemplating research and development or entrepreneurial opportunities in this domain.


Summary:

PMI’s flagship publication is updated to reflect the latest acceptable practices in project management. The Sixth Edition includes new knowledge areas that contain a section labeled Approaches for Agile, Iterative, and Adaptive Environments, defining how these practices harmonize into project settings. The book will also emphasize strategic and business insight—including an explanation of project management business documents—and information on the PMI Talent Triangle™ and the key skills for success in today’s market.

Review:

The book is a reflection on the collaboration and knowledge of working project managers that provides the fundamentals of project management that applies to various projects. This internationally recognized standard provides the essential tools to practice project management and deliver organizational results.


Summary:

Prescription for the Future identifies some prominent medical organizations that have achieved high-quality, patient-focused, and low-cost care. From their examples, it infuses twelve transformational practices that could revolutionize the entire healthcare sector. The author looks at individual physician practices and organizations that are already successfully driving change and instituted specific ways. Emanuel chose a select group of entities– from small physician offices to large multi-specialty group practices, accountable care organizations, and even for-profit companies–that are truly transforming care. Prescription for the Future highlights the state of American healthcare and provides invaluable insights for healthcare workers, investors, and patients. The book gives us the tools to recognize the organizations that will deliver high-quality, adequate health care when we need it.

Review:

The book paints a picture of what Americans need in US healthcare delivery reform— it is useful information on what is working around the country and what is not. Emmanuel has a gifted writing style for making a highly-complex topic very accessible and digestible. The book is the right balance of examples from various transformative outlets and landscapes in healthcare.


Summary:

The book is written by an expert in the field with a multitude of industry certifications; this definitive resource fully addresses information security and privacy considerations and their implications within the business of patient care. The book begins with an overview of the organization, financing, and healthcare delivery and highlights technology, terminology, and data management principles. The subject coverage continues across all aspects of information security and privacy, emphasizing real-life scenarios in clinical practices and business operations in healthcare.

The book teaches best practices for healthcare information security and privacy with comprehensive coverage of key issues such as information governance, roles and occupations, risk assessment and management, incident response, patient rights, and cybersecurity. The book is for a global audience; included is a comprehensive guide addressing US laws and regulations and those within the European Union, the United Kingdom, and Canada.

Review:

Healthcare Information Security and Privacy Summary is for anyone in the healthcare industry and should be a mandatory read. The book is full of useful information. This book satisfies the need if the goal is a healthcare security certification, such as HCISPP, or just general knowledge.


Summary:

Summary:

Health Informatics: A Systems Perspective takes a systems approach to leveraging healthcare information and improving providers’ capabilities through technology and knowledge transfer. The book offers a conceptual framework for aligning clinical decision processes with system infrastructures, including information technology, organizational design, financing, and evaluation. 

The contributors of the book strike a balance between theoretical viewpoints and practical considerations. Case studies and informative sidebars support theory with real-world applications, while learning objectives, key concepts, and discussion questions facilitate learning and reinforce content. Additionally, there is a glossary, which defines the main ideas and critical terminologies presented in the text, which provides a useful overview of the material. 

Review:

The duty of human resources and information technology in healthcare evidence-based decision-making, transforming clinical work processes, nursing informatics, precision medicine, and data and information security. This book is a key source for students and practicing managers alike, Health Informatics: A Systems Perspective describes how information technology can enable the transformation of health organizations to improve the quality of healthcare and individuals and populations’ health.

 


Summary:

Essentials of Clinical Informatics provides a clear and easy to read overview of essential topics such as technical infrastructure, team members and roles, informatics methods, policies and laws, implementation, and operations. With an increased interest in training and expertise to participate in all aspects of medical technology, from the primary function of electronic health records to data analytics and quality improvement to population health, this text serves as a foundational guide to better understand and analyze medical data.

Review:

“Essentials of Clinical Informatics has been created to serve as an ‘on-ramp’ into the field. It explains health informatics’s critical technologies clearly and concisely and consistently uses jargon-free language complemented by numerous bulleted lists. The book does the same for the complex clinical, financial, and policy issues and challenges that encompass and often hinder advancement in the field. 

This book is an appreciated addition that could be read independently by clinicians or other non-technical readers who are considering entering the field or getting a broad overview of it. It serves equally well as a text in a short course for students with similar backgrounds and objectives”—Mark L. Braunstein, MD, Professor of the Practice in Health Informatics, School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA.

Summary:

Key Advances in Clinical Informatics: Transforming Health Care through Health Information Technology contributes a state-of-the-art summary of current subjects in clinical informatics. It leads international authorities to write short, accessible, well-referenced chapters that bring readers up-to-date with critical developments and future advances in the relevant subject areas.

This book includes inpatient and outpatient clinical information systems, clinical decision support systems, health information technology, genomics, mobile health, telehealth, and cloud-based computing. Additionally, it discusses the privacy, confidentiality, and security required for health data.

Review:

The book provides an up-to-date summary of some of the critical issues and advances in the rapidly changing field of Clinical Informatics. It makes for an excellent review of keeping on top of the rapidly changing landscape. It is well written and made an excellent companion text for a health informatics graduate program. 


Summary:

Population Health Informatics considers the growing opportunity to use technology to implement evidence-based solutions to improve population health outcomes. While most health informatics publications take a hospital-centric approach, this innovative new first edition focuses on operationalizing informatics solutions to address significant public health challenges impacting individuals, families, communities, and the environment independently. Population Health Informatics applies a practical, step-by-step approach to implement evidence-based, data-driven population informatics solutions. This book is perfect for students of public health and other interdisciplinary fields interested in population health informatics; this book fulfills a vital component of the new Association of Schools and Programs of Public Health (ASPPH) recommendations for “Critical Content of the Core for a 21st Century MPH Degree.

Review:

It’s an excellent overview for those trained in information technology and those with no background in the subject. The book is a perfect introduction to health information technology and its crossover with population health. It demonstrates how technology is used at the intersection of clinical care and health sciences to strengthen preventive care efforts at the population level. It also offers practical coverage of critical topics such as big data, cloud computing, mobile health, surveillance, and visualization―all from the end user’s perspective using simple, reader-friendly language. The book uses a grassroots approach to technology interventions and solutions, providing students with a clear understanding of addressing various health technology stakeholders’ needs.


Summary:

This book concentrates on the different aspects of handling big data in healthcare. It highlights the current state-of-the-art technology used for storing health records and health data models. The book also focuses on the research challenges in significant data acquisition, storage, management, and analysis.

 

 


Summary:

This book is a thorough overview of machine learning for healthcare analytics, succinctly describing the present healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach the reader how to obtain real healthcare data and execute descriptive, predictive, and prescriptive analytics using well-known Python packages such as pandas and scikit-learn. In the book, the latest research results in disease detection and healthcare image analysis are discussed.

By the end, the reader 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.

Review:

Recently, machine learning technologies and analytics have been utilized across the healthcare sector. Healthcare Analytics Made Simple connects the gap between practicing physicians and data scientists. It also equips the data scientists’ work with healthcare data and allows them to obtain improved insight from this data to enhance healthcare outcomes.

Applicability to Health IT field:

Healthcare Analytics Made Simple is for readers who are developers with a working knowledge of Python or a related programming language. However, if you are new to health care data and analytics or a clinician interested in analytics and healthcare computing, you will also benefit from this book. This book also serves as a textbook for students enrolled in an introductory course on machine learning for healthcare.


Summary:

In Analytics at Work, Davenport, Harris, and coauthor Robert Morison reveal how any manager can effectively deploy analytics in day-to-day operations—one business decision at a time. They show how many analytical tools, from statistical analysis to qualitative measures like systematic behavior coding, can enhance decisions about everything from what new product offering might intrigue customers to whether marketing dollars are utilized appropriately.

The book is based on updated research and illustrated with examples from companies including Humana, Best Buy, Progressive Insurance, and Hotels.com; this implementation-focused guide provides a framework for the five-step DELTA model for deploying and succeeding analytical initiatives.

Review:

Analytics is a hot topic, and executives are looking to get value from business intelligence. This book discusses how they do that. I recommend this book as perhaps “the book” for people looking to establish and sustain an ability to use information in decision-making and process execution.

There is a sweet spot for business books between the illustration of a business idea and a discussion of its practical implementation. Business books that are too complicated offer great ideas that appear realistic only in a perfect world. If the book is too simple, it becomes a technical manual that makes the picture seem mundane. I mention this because Analytics at Work rests firmly in the sweet spot between these extremes.

The authors have taken ideas initially expressed in Competing on Analytics and brought them to the next level. If Competing on Analytics explains the qualities of an `analytic competitor’ and their foundations, then this book maneuvers from principle to practice, explaining topics from data management through to changes in corporate structure and culture. The book is comprehensive without being too brief. It is a written guide that helps you apply analytics to your situation without instructions applicable to a few people.

Applicability to Health IT field:

The book is for business users who want to learn more about this area and improve their analytical capabilities. It includes frameworks that cover the stages of analytical evolution in a business, and the critical elements for success, along with some thoughts on making the journey to more data-driven decision making.


Summary:

A leader in data visualization, Stephen Few exposes the common issues in dashboard design and describes its best practices in great detail with many lessons in his updated second edition. According to the author, dashboards have become a welcomed means to present critical information at a glance, yet few do so effectively. He explains that dashboards engage the power of visual perception when designed well to communicate a substantial collection of information efficiently and with exceptional clarity. The author also explains that visual design skills that address the unique challenges of dashboards are not intuitive but instead learned. Information Dashboard Design teaches design dashboards, provides a deep understanding of the concepts—that teach the why behind the how. The revised edition offers new chapters with sections that concentrate on fundamental considerations while assessing requirements, in-depth instruction in the creation of bullet graphs and sparklines, and critical steps to follow during the design process. Examples of updated graphics and dashboards are throughout, including additional samples of well-designed dashboards.

Review:

“Written by one of the foremost experts in the field of data visualization, this is one of those unique books that appears to make the publication of other works on the same topic unnecessary. I highly recommend Information Dashboard Design by Stephen Few’s to all information designers who are concentrating on the visual display of data and, specifically, to dashboard designers.

Applicability to Health IT field:

If you spend any part of your workday looking at dashboards that don’t seem quite right, you must read this book. The book is beneficial for both dashboard creators and consumers. This book has useful tips on arranging your dashboard for success, such as meeting with stakeholders to create requirements and using the right chart for the right job. 


Summary:

Predictive analytics is what renders big data into useful, available business information. The book is written by a leading expert in the field; this guide examines the science of the underlying algorithms and the foundation and best practices that guide the profession of predictive analytics. The book simply explains the approach behind predictive analytics, explains the methods, principles, and methods for conducting predictive analytics projects, and offers tools essential for successful predictive modeling. Included are hands-on examples and case studies.

  • The capacity to successfully apply predictive analytics allows businesses to interpret big data; essential for competition today, effectively
  • This guide educates readers not only on the fundamentals of predictive analytics but also on how to administer them to accomplish tangible, pragmatic solutions
  • Teaches methods, principles, and techniques for conducting predictive analytics projects from start to finish
  • Illustrates each approach with hands-on examples and includes an array of in-depth case studies that apply predictive analytics to everyday business scenarios
  • A partner website provides all the data sets used to generate the models as well as a free trial version of the software

Review:

Applied Predictive Analytics: Fundamentals and Techniques for the Professional Data Analyst show tech-savvy business managers and data analysts how to use predictive analytics to solve practical business problems. The book educates readers on the methods, principles, and techniques for conducting predictive analytics projects, from start to finish. Dean Abbott, an internationally recognized data mining and predictive analytics expert, includes a useful and scholarly guide to best exercises for successful predictive modeling, including expert tools to avoid common pitfalls.

This book describes the theory behind predictive analytics principles in plain English; readers don’t need an extensive background in math and statistics, making it a model for most tech-savvy business and data analysts. Every chapter describes one or more specific techniques and how they relate to the overall process model for predictive analytics. The depth of the description of a method will pair the complexity of the approach with the intent to explain the techniques in enough depth for a practitioner to understand the effect of the significant parameters needed to use the method and interpret the results effectively.

Applicability to Health IT field:

Applied Predictive Analytics provides data and business analysts and business managers with the tools they need to interpret and capitalize on big data.


Summary:

This open access book comprehensively includes clinical data science fundamentals, concentrating on data collection, modeling, and clinical applications. Topics covered in the first part on data collection include data sources, data at scale (big data), data stewardship (FAIR data), and related privacy concerns. The book incorporates predictive modeling aspects using classification, regression, clustering, and prediction models and covers validation in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence, and value-based healthcare.

Review:

 

Applicability to Health IT field:

Fundamentals of Clinical Data Science are an essential resource for healthcare professionals and IT consultants intending to develop and refine their personalized medicine skills, using solutions based on large datasets from electronic health records or telemonitoring programs.


Summary:

This open access book examines ways to leverage information technology and machine learning to fight disease and promote health, especially in resource-constrained environments. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure. Without comprehensive surveillance, there can be delays in outbreak identification, resource deployment, and case management, which can be catastrophic. In combination with context-informed analytics, readers will learn how non-traditional digital disease data sources, such as news media, social media, Google Trends, and Google Street View, can close critical knowledge gaps. Readers will also learn how to help inform on-the-ground decision-making when conventional surveillance systems are insufficient.

Review:

This book is the first and presently the only book on digital disease surveillance that applies machine learning to non-traditional data sources. It focuses on combating disease and promoting health, especially in resource-constrained settings.

Applicability to Health IT field:

Data science is an assembly process for creating actionable information. It helps readers locate, comprehend, and communicate information hidden in the growing data flood. In global health, favorable data science efforts can elicit importance from data that might otherwise go untapped and use it to inform policy and support programmatic decision making.


Summary:

Machine Learning (ML) has changed the way entities and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects includes new approaches and methodologies for creating robust solutions for healthcare analytics.

This book will teach readers how to execute key machine learning algorithms and walk them through their use cases by implementing a variety of libraries from the Python ecosystem. Readers will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence (AI) applications for carrying out simple-to-complex healthcare analytics tasks. With each project, readers will gain new insights, which will help them handle healthcare data efficiently. As readers make their way through the book, they will use ML to identify cancer in a group of patients using support vector machines (SVMs) and k-Nearest neighbors (KNN) models. The book’s ending creates a deep neural network in Keras to predict the onset of diabetes in a vast dataset of patients. Readers will also learn how to expect heart diseases using neural networks.

Review:

  • Createe a variety of healthcare analytics proposals using realistic datasets
  • Execute essential machine learning algorithms using a scope of libraries from the Python ecosystem
  • Achieve intermediate-to-complex tasks by building smart AI applications using neural network methodologies

Applicability to Health IT field:

Machine Learning for Healthcare Analytics Projects is for data scientists, machine learning engineers, and healthcare professionals who aspire to execute machine learning algorithms to build smart AI applications. Basic education in Python or any programming language is required to get the most from this book.


Summary:

Preparing for the chief information officer (CIO) role takes thoughtful planning, strategy, and knowledge. The book answers: What does a CEO look for in a CIO? What is the difference between a CIO and a CTO? How do you learn the business and build critical relationships? 

Straight to the Top: Becoming a World-Class CIO is a fundamental guide to aid information technology (IT) and business professionals to help them recognize the qualities necessary to attain the first-time CIO’s role and plan their career moves. This crucial road map for success offers a unique perspective, from the executive recruiter’s view, of the qualities top search firms look for in CIO candidates.

Becoming a CIO requires a solid skillset from the candidate, including significant technical proficiency, business acumen, and an exceptional ability to communicate meaningfully. Most importantly, the CIO’s success is measured to decode IT into usable ideas and solutions that work in tandem with the business’s goals. Straight to the top expertly coaches aspiring CIOs on building up these requisite skills with “insider information” from leading CIOs and author Gregory Smith’s observations throughout his twenty years of experience working in the IT field–most recently, as a CIO.

Based on advisory research, case studies, and interviews with various CIOs, executive recruiting firms, and sales professionals, this proactive book is strategically divided into two parts.

Review:

The author has written definitive work on how to achieve leadership success in IT. This eloquently-written and diligently researched book is an essential read for any IT professional with goals of moving into top IT positions. In the future, seasoned IT leaders will be crediting the author’s book by playing a role in their success.

Applicability to Health IT field:

The author did an admirable job writing this prescriptive guidance for dedicated IT professionals looking to grow in IT leadership ranks and those with an eye on the CIO position. He covered all bases and backed these up with anecdotes from his personal experience and dialogues with an exclusive group of CIOs from across the industry. The most useful parts of each chapter are the sections entitled “What did I do to prepare” and “Recommendations.” These were practical, proven advice.

Professionals would recommend this book to anyone aspiring to be in a CIO job, or even just starting their careers in IT, consultants, systems analysts, IT managers,… It’s always good to be in touch with what the possibilities are for your career. Even if you are not aspiring for a CIO job, this is still an excellent book to read. If nothing else, it will make you aware or remember a lot of useful and essential concepts, ideas, and tools that you can use in your current job. It may even invigorate readers and get their ambitions up.


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