Health Informatics & Sciences

What Are the Best New Health Informatics Books?

What Are the Best New Health Informatics Books?
Health informatics students and health professionals who wish to learn more about the fundamentals of the discipline, as well as enrich their knowledge and skill set in more advanced areas, can now choose among ten new and recently revised books on various aspects of health informatics. Image from Pexels
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Craig Hoffman May 24, 2022

Several new books cover the fundamentals of health informatics, a discipline that occupies the intersection of information technology, AI, big data, management, and health administration.

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The rise of health informatics in the healthcare field has created a host of new job opportunities that rely on knowledge of healthcare technology, business management, data analysis, health administration, and organizational leadership.

Health informatics professionals typically work for major hospitals, medical practices, healthcare networks, insurance companies, research labs, and public health agencies. Their skills and knowledge—including programming, systems integration, database design, systems optimization, and data analytics—can help providers and insurers improve patient care and patient outcomes, make healthcare more efficient, lower the cost of care, and reduce medical errors.

Health informatics students and health professionals who wish to learn more about the fundamentals of the discipline, as well as enrich their knowledge and skill set in more advanced areas, can now choose among ten new and recently revised books on various aspects of health informatics. What are the best new health informatics books? This article explores that question.

The best new health informatics books

Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems, Om Prakash Jena (Editor), Bharat Bhushan (Editor), Nitin Rakesh (Editor), Parma Nand Astya (Editor), Yousef Farhaoui (Editor)__

The development of wearable medical devices has revolutionized healthcare and medical informatics and ushered in the modern era of machine learning, deep learning, and the internet of medical things (IoMT). This book details how the use of deep learning algorithms can ensure efficient data processing, medical image analysis, and optimal healthcare applications. It also looks at many aspects of computational intelligence applications and shows how they might be used to solve real-world biomedical and healthcare challenges.

Computational Intelligence and Healthcare Informatics, Om Prakash Jena (Editor), Alok Ranjan Tripathy (Editor), Ahmed A. Elngar (Editor), Zdzislaw Polkowski (Editor)__

Modern healthcare faces challenges in acquiring, analyzing, and utilizing the massive amount of data required to tackle complicated medical issues. Because of the rapid growth of technology, Artificial Intelligence (AI) approaches are being successfully applied in healthcare to boost the efficacy of medicines and prevent the hazards of erroneous diagnosis, therapeutic decision-making, and outcome prediction in many clinical scenarios. This book covers various computational intelligence topics, including machine learning and deep learning from various perspectives.

The Handbook of Continuing Professional Development for the Health Informatics Professional, JoAnn Klinedinst (editor)__

Continuing professional development (CPD) is critical for health information technology practitioners. This book explains why it’s important to advance in your profession and how to do so. It also highlights the most crucial competencies needed to assure comprehension of the large healthcare ecosystem while also noting industry forces that impact health information and technology progress. The author is vice-president of professional development at the Health Informatics and Management Systems Society (HIMSS), a professional organization with over 110,000 members.

Mental Health Informatics: Enabling a Learning Mental Healthcare System, Jessica D. Tenenbaum (Editor), Piper A. Ranallo (Editor)__

Offering a thorough overview of mental health informatics, this book explores clinical and bioinformatics approaches, paradigms, tools, and knowledge bases throughout the research-to-clinical-care spectrum. The primary technologies described and contextualized within the complex set of mental health diseases, research, and care include terminologies, ontologies, and data interchange standards. Electronic copies of this textbook can be rented through Amazon.

Biomedical Informatics: Computer Applications in Healthcare and Biomedicine, Edward H. Shortliffe (Editor), James J. Cimino (Editor)__

Now in its 5th edition, this book remains an indispensable textbook for students, researchers, educators, and clinicians looking for a comprehensive introduction to major topics in health informatics. It focuses on the field’s conceptual underpinning rather than technological aspects, giving readers the tools they need to comprehend, assess, and apply biomedical informatics and health IT. Electronic copies of this textbook can be rented through Amazon.

Leadership, Policy, & Systems in Health Informatics & Bioinformatics, by Dr. Lisa Marie Portugal__

Institutional growth, culture, and climate can all be influenced by leadership styles. Dr. Portugal’s book explains how leaders should consider personal attributes and techniques to provide support, motivation, influence, and vision. Self–evaluation of one’s leadership abilities might lead to further consideration of one’s strengths and flaws. Organizations thrive when effective executives can chart a course to move new projects forward, implement new technologies, maintain profitability, and retain people.

Translational Bioinformatics in Healthcare and Medicine, Khalid Raza (Editor), Nilanjan Dey (Editor)__

The book covers bioinformatics, biological databases, clinical informatics, health informatics, viroinformatics, and healthcare applications. It examines bioinformatics’ importance in cancer research and viroinformatics’ efforts to utilize informatics to battle viral infections. The material was compiled by experts on both the technical and clinical sides and brings together critical information to capitalize on recent advances in the healthcare sector. It’s an excellent resource for bioinformaticians, physicians, healthcare professionals, graduate students, and others that want to learn how bioinformatics might assist their research and practice.

Innovative Systems for Intelligent Health Informatics Data Science, Health Informatics, Intelligent Systems, Smart Computing, Faisal Saeed (Editor), Fathey Mohammed (Editor), Abdulaziz Al-Nahari (Editor)__

This book contains papers from the fifth International Conference on Reliable Information and Communication Technology in 2020. The collection includes 111 peer articles highlighting health informatics, bioinformatics, information retrieval, AI, soft computing, data science, big data analytics, IoT, information systems, and software engineering.

Nursing Informatics and the Foundation of Knowledge, by Dee McGonigle and Kathleen Mastrian__

The 4th edition continues its foundational work teaching nursing students the essential concepts of knowledge management while also providing an understanding of the necessary technological tools and applications. The work offers a practical guide for learning how to harness modern technology and instructs students on how to acquire, process, and exchange knowledge.

Statistics and Machine Learning Methods for EHR Data From Data Extraction to Data Analytics, Hulin Wu (Editor), Jose Miguel Yamal (Editor), Ashraf Yaseen (Editor), Vahed Maroufy (Editor)__

Electronic health records (EHR) and electronic medical records (EMR) are now prominently used in healthcare research. Due to the way this data is collected and processed and the types of questions that might be answered, analyzing this data presents many distinct challenges. The book examines and contrasts traditional statistical models and approaches with machine learning and deep learning methods, providing unbiased comparison results for both strategies in predicting clinical outcomes using EHR data. The book’s contributors add their experience from EHR and EMR research projects and provide case studies throughout.

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