May 1, 2024
Updated June 5, 2025
18 minute read
An Introduction to Healthcare Analytics
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Find a path to becoming a Healthcare Analytics. Learn more at:
OpenCourser.com/topic/e4zyhq/healthcare
Reading list
We've selected 22 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Healthcare Analytics.
Explores the significant role of machine learning and artificial intelligence in transforming healthcare through the use of big data. It discusses how these technologies can lead to improved health outcomes. It is highly relevant for understanding cutting-edge applications of analytics in the contemporary healthcare landscape.
Is specifically tailored to data visualization in health and healthcare, providing best practices and techniques for creating clear and compelling visuals. It is essential for effectively communicating analytical findings to various stakeholders in the healthcare domain. It practical guide for anyone involved in presenting healthcare data.
Offers a comprehensive and integrated treatment of healthcare analytics, covering the journey from data to knowledge and ultimately to healthcare improvement. It details how analytical methods and tools can enhance quality and efficiency. It key resource for a thorough understanding of the field's scope and impact.
Provides a practical approach to data analytics for driving innovation in medicine. It focuses on building predictive and prescriptive models using AI, ML, and related technologies with real-world examples. It is highly relevant for those wanting to apply analytics to solve current healthcare challenges.
Offers a practical, hands-on approach to working with real-world healthcare data. It guides readers through the essential steps of data handling, from extraction and cleaning to feature engineering, and includes examples of applying machine learning. It is highly valuable for gaining practical skills in preparing and using healthcare data for analytics.
Focuses specifically on the application of big data analytics within the healthcare sector. It examines the challenges and opportunities associated with using large-scale datasets and explores various applications and platforms. It is valuable for understanding the implications and potential of big data in modern healthcare analytics.
Offers a comprehensive introduction to data science with a strong emphasis on biomedical and health applications, utilizing the R programming language. It covers a wide range of techniques from data manipulation to predictive modeling. It is suitable for those who want to learn data science methods within a healthcare context and gain practical skills in R.
Focuses on applying analytics to drive performance improvement and quality management in hospitals and health systems. It provides practical insights into using data and analytics to enhance operational efficiency and patient care quality. It is highly relevant for professionals in healthcare management and quality improvement roles.
Provides an accessible introduction to healthcare analytics for readers without extensive backgrounds in data science or statistics. It covers the fundamental concepts of data and analytics within the healthcare context, making it ideal for gaining a broad understanding. It serves as a practical guide with real-world examples.
Provides a practical guide to using healthcare analytics to improve patient care.
Offers a comprehensive introduction to health informatics, covering the application of information technology in healthcare. It serves as a practical guide for understanding the foundational concepts and technologies that underpin healthcare analytics. It is often used as a textbook in academic settings and provides a solid base for further study.
A foundational textbook covering essential statistical concepts and methods relevant to health sciences. A strong understanding of medical statistics crucial prerequisite for healthcare analytics. provides a solid base in the statistical principles needed for data analysis in healthcare.
Focuses on using Tableau, a popular data visualization tool, specifically within the healthcare context. It provides practical guidance and examples for creating dashboards and reports relevant to healthcare data. It valuable resource for developing practical data visualization skills for healthcare analytics.
Presents a foundational approach to competing in healthcare through analytics. It outlines strategies and models for leveraging analytics to drive transformation and achieve a competitive advantage. It is valuable for understanding the strategic implementation and business value of healthcare analytics.
Provides a practical guide to using data visualization for healthcare analytics, with a focus on its use in communicating insights to stakeholders.
Provides an accessible introduction to medical statistics, focusing on the application of statistical methods in medicine and study design. It valuable resource for understanding the statistical underpinnings necessary for interpreting and conducting healthcare analytics. It's suitable for those new to medical statistics.
Provides a practical guide to using healthcare analytics for healthcare management, with a focus on its use in improving operational efficiency.
Explores the transformative power of data analytics and business intelligence in the healthcare industry. It provides insights into how organizations can leverage data to drive change and improve processes. It's a good resource for understanding the strategic importance and business context of healthcare analytics.
Explores the tools and strategies for conducting data analytics specifically in healthcare research. It covers various analytical approaches and their application in research settings. It useful resource for students and professionals involved in healthcare research who need to analyze and interpret data effectively.
Offers practical strategies and implementation methods for applying analytics in healthcare and the life sciences. It provides frameworks and case studies across different sectors of the healthcare ecosystem. While not the most recent, its focus on strategy and implementation provides valuable context for applying analytics in a business setting.
Provides a detailed look at the standards, coding systems, frameworks, and infrastructures of Electronic Health Records (EHRs). Understanding EHRs is fundamental to working with healthcare data for analytics. This book serves as a comprehensive reference for the technical backbone of healthcare information systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/e4zyhq/healthcare
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