7 New Health Informatics Books Shaping 2025 Discoveries

Explore insights from experts Philip de Melo, Gyorgy J. Simon, Reynolds Jameson in these new 2025 Health Informatics books

Updated on June 24, 2025
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The Health Informatics landscape changed dramatically in 2024, propelled by rapid advances in artificial intelligence, data analytics, and connected health technologies. These shifts are redefining how healthcare professionals gather, analyze, and apply data to improve patient care and public health outcomes. Staying current with these developments is pivotal for anyone involved in this dynamic field.

Leading voices such as Philip de Melo, whose work bridges computer science and public health, and Gyorgy J. Simon, an expert in AI applications for medical sciences, have highlighted the transformative potential of emerging technologies. Similarly, Reynolds Jameson's practical approach to nursing informatics empowers healthcare workers to adopt technology confidently. Their insights reveal a field in the midst of profound evolution.

While these books provide a rich foundation of the latest Health Informatics knowledge, readers who want targeted and up-to-date guidance tailored to their unique goals might consider creating a personalized Health Informatics book that builds on these emerging trends and fits specific career paths or interests.

This book offers a thorough exploration of artificial intelligence and machine learning techniques as they apply to health care and medical sciences. It systematically breaks down complex concepts to help you develop a clear understanding of various AI methods and their practical use in healthcare settings. Emphasizing common pitfalls and risk stratification, it serves as a valuable resource for medical informatics professionals, physicians, health data scientists, and students aiming to stay abreast of the newest developments and best practices in the field.
2024·836 pages·Health Informatics, Artificial Intelligence, Machine Learning, Medical Sciences, Predictive Modeling

What happens when seasoned medical researchers dive into the complex world of artificial intelligence? Gyorgy J. Simon and Constantin Aliferis unpack the latest AI and machine learning methodologies tailored specifically for health care and medical sciences. You gain a clear grasp of causal and predictive models, understanding not only how they work but also their practical applications and pitfalls in clinical settings. Detailed chapters guide you through avoiding common errors, helping you assess clinical risks effectively. If you're directly involved in medical informatics or health data science, this book offers a solid foundation and nuanced insights for daily professional challenges.

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This book captures a snapshot of the rapidly evolving landscape of health informatics as presented at the ICBHI 2022 conference in Chile. It highlights the intersection of cutting-edge technologies like artificial intelligence, precision medicine, and wearable devices within the broader field of medicine and health education. By compiling diverse expert contributions, it offers a detailed look at how digital transformation is influencing clinical practice and healthcare delivery. Professionals and academics engaged in health informatics will find this an essential resource to understand current trends and the challenges posed by integrating new technologies into healthcare systems.
2024·328 pages·Health Informatics, Biomedical Engineering, Artificial Intelligence, Precision Medicine, E-Health

Drawing from the latest research presented at the Fifth International Conference on Biomedical and Health Informatics, this volume explores emerging technologies reshaping medicine and health education. You'll find detailed discussions on artificial intelligence applications in precision medicine, the evolving role of e-health and wearable medical devices, and advancements in medical imaging techniques. The editors, Esteban Pino, Ratko Magjarević, and Paulo de Carvalho, bring together contributions that reflect the digital transformation underway in healthcare. If you’re involved in health informatics or medical technology, this book offers insights into current challenges and innovative strategies shaping the field’s immediate future.

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Best for custom AI insights
This AI-created book on health informatics is tailored to your skill level and specific interests in AI and data analytics. You share your background and which 2025 developments fascinate you most, then receive a book that matches those passions. It’s designed to help you explore cutting-edge discoveries and stay ahead in this fast-moving field without wading through unrelated material. Personalizing the content means every page focuses on what matters most to you.
2025·50-300 pages·Health Informatics, Artificial Intelligence, Data Analytics, Predictive Modeling, Personalized Medicine

This tailored book explores the latest developments in AI and data analytics that are revolutionizing health informatics in 2025. It thoroughly examines emerging technologies and novel applications shaping medical data management, predictive analytics, and healthcare delivery innovation. The content is crafted to match your background and specific interests, allowing you to focus on the aspects of health informatics most relevant to your goals. By concentrating on breakthroughs and practical examples in AI-driven diagnostics, personalized medicine, and data integration, this personalized guide reveals how new insights are transforming patient care and public health. Engaging and up-to-date, it offers a focused learning experience that keeps you ahead in this rapidly evolving field.

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Best for public health data strategists
Philip de Melo's "Public Health Informatics and Technology" offers a timely perspective on integrating information technology and public health practice. The book delves into emerging technologies like artificial intelligence and data analytics, illustrating how they equip multidisciplinary teams to navigate complex health challenges. It highlights the critical role of informatics in managing disease outbreaks and fostering collaboration among epidemiologists, computer scientists, and public health professionals. This work serves those engaged in advancing population health through innovative technological solutions and proactive strategies against emerging health threats.
2024·416 pages·Health Informatics, Public Health, Data Analytics, Artificial Intelligence, Disease Prevention

Drawing from his expertise at the crossroads of computer science and public health, Philip de Melo offers an insightful exploration of how information technology reshapes public health practice. You learn how multidisciplinary teams use data analytics, artificial intelligence, and innovative tools to tackle disease prevention, outbreak response, and population health management. The book lays out distinctions between clinical and public health informatics, emphasizing practical frameworks for managing and sharing health data effectively. Whether you're a public health professional, epidemiologist, or technologist, this book provides a grounded understanding of how informatics drives proactive, global health security strategies.

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Best for health data analytics professionals
Health Data Analytics And Informatics offers a timely exploration of how big data and informatics are reshaping healthcare delivery. It dives into the latest technologies like AI and biomedical sensors, showing how they enable precision medicine and connected health systems. This book provides a roadmap for those looking to harness data analytics to enhance healthcare quality and policy decisions. Its focus on practical adoption challenges and future perspectives makes it a valuable resource for anyone involved in health informatics innovation and implementation.
2024·130 pages·Health Informatics, Data Analytics, Artificial Intelligence, Machine Learning, Biomedical Sensors

After years immersed in healthcare technology and data science, Mbuso Mabuza developed this book to bridge the gap between emerging big data tools and their practical use in healthcare. You’ll explore how artificial intelligence, machine learning, and biomedical sensors are integrated to transform patient care, from digital clinical trials to precision medicine. The chapters on healthcare informatics and connected health offer detailed insights into managing vast data sets and improving decision-making in real time. This book suits professionals and innovators eager to understand the technical and strategic aspects of health data analytics, though those seeking purely clinical perspectives might find it less relevant.

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Best for smart healthcare innovators
Innovation in Health Informatics: Smart Health Care offers a detailed examination of how emerging technologies are reshaping healthcare systems through medical informatics. This book presents a thorough overview of recent developments such as AI, big data analytics, and telemedicine that are driving smarter, patient-centered care. It is designed to serve as a reference for professionals seeking to grasp the evolving tools and methods that underpin the future of healthcare delivery, emphasizing the integration of technology with clinical practice for sustainable improvements.
2023·237 pages·Health Informatics, Medical Technology, Data Analytics, Artificial Intelligence, Telemedicine

Jett Jacob's Innovation in Health Informatics: Smart Health Care delves into the technological revolution reshaping healthcare delivery. Drawing on advancements in information and communication technologies, Jacob explores how tools like AI, machine learning, and wearable devices are integrated to create patient-centered, efficient systems. You’ll gain insight into practical applications such as telemedicine, electronic health records, and 3D bioprinting, with chapters dedicated to the role of big data and IoT in transforming care. This book suits healthcare professionals, IT specialists, and policy makers eager to understand the emerging landscape of smart healthcare technologies and their impact on medical informatics.

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Best for personalized tech insights
This AI-created book on health informatics is tailored to your specific interests and goals within this vibrant field. By sharing your background and what emerging topics you want to focus on, the book zeroes in on exactly the discoveries and technologies that matter most to you. Personalization here means you don’t get generic content—you get a resource that keeps you ahead in health informatics by exploring the latest 2025 developments that suit your unique path. It’s like having a guide crafted just for your learning journey.
2025·50-300 pages·Health Informatics, Emerging Technologies, Artificial Intelligence, Data Analytics, Connected Health

This tailored book explores emerging technologies and forward-looking developments in health informatics, designed to align specifically with your interests and goals. It examines the newest discoveries of 2025, providing insights into cutting-edge tools, data analytics innovations, and evolving clinical applications. By focusing on topics that match your background, it reveals how advancements in AI, connected health, and data integration are reshaping healthcare informatics. The tailored content enables you to stay ahead in this rapidly evolving field, offering a personalized pathway through complex, timely subjects that matter most to you as a health informatics professional or enthusiast.

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Best for nursing informatics beginners
Reynolds Jameson is a recognized expert in nursing informatics dedicated to transforming healthcare through technology. His extensive experience ensures this book breaks down complex informatics concepts into accessible lessons, empowering nurses at all levels to harness technology effectively and enhance patient care.
2023·170 pages·Health Informatics, Nursing, Technology Integration, Electronic Health Records, Clinical Decision Support

While working as a nursing informatics specialist, Reynolds Jameson noticed a gap in accessible resources for nurses eager to embrace technology confidently. This book guides you through the nuts and bolts of nursing informatics, covering electronic health records, AI applications, telemedicine, and clinical decision support with clear explanations and real case studies. You’ll learn not only technical skills but also the ethical and regulatory framework shaping digital healthcare today. If you’re a nurse or healthcare professional ready to deepen your tech fluency and improve patient outcomes, this book offers practical insights without assuming prior expertise.

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Best for clinical research informatics specialists
Clinical Research Informatics offers a thorough review of the rise and evolution of clinical research informatics, highlighting the shifting landscape where clinical care and research increasingly intersect. This edition emphasizes the role of the healthcare consumer and addresses the challenges faced by biomedical informatics professionals in modern clinical environments. By presenting detailed frameworks and current developments, the book serves as a critical resource for students and practitioners eager to deepen their understanding of this vital and fast-moving discipline within health informatics.
Clinical Research Informatics (Health Informatics) book cover

by Rachel L. Richesson, James E. Andrews, Kate Fultz Hollis·You?

2023·535 pages·Health Informatics, Medical Computer Applications, Clinical Research, Data Integration, Biomedical Informatics

After decades of experience in biomedical informatics, Rachel L. Richesson and her co-authors offer a detailed exploration of clinical research informatics (CRI) that shifts how you view healthcare data integration. This book walks you through the evolving challenges faced by professionals navigating the intersection of clinical care and research, emphasizing the increasing role of patients as active participants. You’ll gain insight into frameworks that support merging clinical delivery with research activities, highlighted by thorough discussions on emerging global healthcare paradigms. If you're involved in healthcare informatics or clinical research, this text provides the foundational knowledge and contemporary context essential for adapting to this dynamic field.

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Conclusion

These seven books collectively underscore key themes shaping Health Informatics in 2025: the integration of AI and machine learning in clinical and public health, the growing role of data analytics in healthcare decision-making, and the importance of accessible technology adoption in nursing and clinical research. Together, they offer a roadmap for professionals eager to navigate the complexities of modern healthcare data.

If you want to stay ahead of emerging trends and newest research, starting with 'Artificial Intelligence and Machine Learning in Health Care and Medical Sciences' alongside 'Public Health Informatics and Technology' offers a robust foundation. For practical implementation, pairing 'NURSING INFORMATICS MADE EASY' with 'Innovation in Health Informatics' can accelerate applied learning.

Alternatively, you can create a personalized Health Informatics book to apply the latest strategies and insights directly to your specific role and objectives. These books offer the most current 2025 insights and can help you stay ahead of the curve in this fast-evolving field.

Frequently Asked Questions

I'm overwhelmed by choice – which book should I start with?

Start with 'Public Health Informatics and Technology' for a broad overview, then explore 'Artificial Intelligence and Machine Learning in Health Care and Medical Sciences' to dive into AI applications. This sequence balances foundational understanding with advanced concepts.

Are these books too advanced for someone new to Health Informatics?

Not at all. For newcomers, 'NURSING INFORMATICS MADE EASY' breaks down complex topics into accessible lessons, making it a great entry point before moving to more technical books.

What’s the best order to read these books?

Begin with approachable texts like 'NURSING INFORMATICS MADE EASY,' then progress to specialized works such as 'Health Data Analytics And Informatics' and 'Clinical Research Informatics' to deepen your expertise.

Do these books focus more on theory or practical application?

They strike a balance. For example, 'Innovation in Health Informatics' emphasizes practical tools and emerging technologies, while 'Artificial Intelligence and Machine Learning in Health Care and Medical Sciences' delves into theoretical models and their real-world uses.

Will these 2025 insights still be relevant next year?

Yes, they cover evolving technologies and frameworks that will influence Health Informatics beyond 2025, though staying updated with ongoing research is always recommended.

Can personalized books complement these expert-recommended titles?

Absolutely. While these books offer expert insights, personalized Health Informatics books tailor content to your specific goals and background, keeping you current. Learn more here.

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