Health Informatics and Data Analytics for Healthcare Administrators
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Beschreibung
This textbook addresses a gap in health administration education by exploring in depth health informatics and data analytics through a managerial lens. It provides a comprehensive overview of how healthcare systems generate and utilize data, covering topics such as Electronic Health Records, telemedicine, large healthcare datasets, and data security and privacy. Furthermore, the text covers non-clinical administrative applications usually not found in traditional informatics books, including provider performance profiling, measuring patient experiences, and regulatory compliance for external reporting.
Following a practical, data-driven approach, the book is designed to build technical competencies in students who may lack prior statistical or programming backgrounds. It guides readers step-by-step through the processes of data preparation, unsupervised learning, and predictive modeling using data examples. By engaging with practical exercises, students learn how to extract patterns, visualize data summaries, and build predictive forecasting models at a level of understanding appropriate for the skill set a healthcare manager needs to possess.
Ultimately, the goal of this textbook is to equip future healthcare leaders with the tangible skills needed to make evidence-based, strategic decisions. By illustrating how to leverage Decision Support Systems and process analysis, the book connects technological applications to organizational improvements. Readers will be prepared to measure health system performance, optimize resource allocation, reduce clinical variations, and drive continuous quality improvement in their facilities.
This textbook addresses a gap in health administration education by exploring in depth health informatics and data analytics through a managerial lens. It provides a comprehensive overview of how healthcare systems generate and utilize data, covering topics such as Electronic Health Records, telemedicine, large healthcare datasets, and data security and privacy. Furthermore, the text covers non-clinical administrative applications usually not found in traditional informatics books, including provider performance profiling, measuring patient experiences, and regulatory compliance for external reporting.
Following a practical, data-driven approach, the book is designed to build technical competencies in students who may lack prior statistical or programming backgrounds. It guides readers step-by-step through the processes of data preparation, unsupervised learning, and predictive modeling using data examples. By engaging with practical exercises, students learn how to extract patterns, visualize data summaries, and build predictive forecasting models at a level of understanding appropriate for the skill set a healthcare manager needs to possess.
Ultimately, the goal of this textbook is to equip future healthcare leaders with the tangible skills needed to make evidence-based, strategic decisions. By illustrating how to leverage Decision Support Systems and process analysis, the book connects technological applications to organizational improvements. Readers will be prepared to measure health system performance, optimize resource allocation, reduce clinical variations, and drive continuous quality improvement in their facilities.
The book discusses data aspects and analysis methods in ways that are helpful for students of healthcare administration The book provides data-driven examples to explain how we prepare and analyze data The textbook will provide tangible and directly applicable skills to health administration students
Autor*in
Dimitrios Zikos
Themen in »Health Informatics and Data Analytics for Healthcare Administrators«
Healthcare Management Healthcare Administration Physician Profiling Performance Measurement Monitoring Healthcare Analytics Electronic Health Record Secondary Data Analysis Telemedicine Predictive Modeling Decision Support Systems Quality Improvement Resource Allocation