Data-Guided Healthcare Decision Making (Original PDF From Publisher)

1.1.Description

In the realm of healthcare administration, the significance of data-driven decision-making and the implementation of cost-effective healthcare operations cannot be overstated. Addressing pivotal questions surrounding the role of data evidence in healthcare decision-making and the efficacy of decision trees, this book, authored by an expert in health and medical informatics, offers a comprehensive guide. Aimed at graduate students and lecturers in Healthcare Administration and Business Administration courses, “Data-Guided Healthcare Decision Making (Original PDF From Publisher)” demystifies the intricacies of data analysis and interpretation, essential skills for professionals entering the healthcare industry. Drawing on numerous healthcare data sets from various sources, “Data-Guided Healthcare Decision Making (Original PDF From Publisher)” illustrates fundamental principles and tools for operational decision-making, providing valuable insights for those working in hospitals, clinics, pharmaceutical, or insurance industries. The content, enriched with up-to-date concepts, new methodologies, and practical interpretations, is accompanied by hands-on applications using widely available software such as Excel, Microsoft Mathematics, MathSolver, and JASP.

Data-Guided Healthcare Decision Making (Original PDF From Publisher)

1.2.Key Features

“Data-Guided Healthcare Decision Making (Original PDF From Publisher)” distinguishes itself with key features that cater to an audience of graduate students and lecturers in Healthcare Administration and Business Administration courses. Authored by an expert in health and medical informatics, the book delves into the fundamental role of data evidence in healthcare decision-making and the establishment of cost-effective healthcare operations. Offering clarity on complex concepts, the book provides practical insights into how to analyze and interpret data, crucial skills for professionals entering the healthcare industry. Notably, the content draws on numerous healthcare data sets from diverse sources, illustrating operational decision-making tools and strategies. The inclusion of up-to-date concepts, new methodologies, and hands-on applications using widely available software such as Excel, Microsoft Mathematics, MathSolver, and JASP enhances “Data-Guided Healthcare Decision Making (Original PDF From Publisher)” educational value, making it a valuable resource for those navigating the intricate landscape of healthcare administration.

Data-Guided Healthcare Decision Making (Original PDF From Publisher)

1.3. About Writer

Ramalingam Shanmugam, a distinguished figure in the field of healthcare administration and medical informatics, is recognized for his significant contributions to the intersection of data science and healthcare decision-making. With a solid background in health and medical informatics, Mr. Shanmugam has emerged as an expert in leveraging data to drive optimal healthcare outcomes. His expertise extends to the fundamentals of operational decision-making, where he excels in demystifying complex concepts for professionals entering the healthcare industry. Mr. Shanmugam’s contributions have not only advanced the understanding of data-guided healthcare decision-making but have also positioned him as a valuable resource for graduate students and lecturers in Healthcare Administration and Business Administration courses. His commitment to up-to-date concepts, new methodologies, and practical applications using widely available software underscores his dedication to fostering knowledge and proficiency in the ever-evolving landscape of healthcare administration.

Data-Guided Healthcare Decision Making (Original PDF From Publisher)

Summary

“Data-Guided Healthcare Decision Making (Original PDF From Publisher)” authored by Ramalingam Shanmugam serves as a comprehensive guide for graduate students and lecturers in Healthcare Administration and Business Administration courses. With expertise in health and medical informatics, Shanmugam delves into the crucial intersection of data science and healthcare decision-making. “Data-Guided Healthcare Decision Making (Original PDF From Publisher)” demystifies the complexities surrounding data evidence in healthcare, shedding light on its pivotal role in achieving optimal healthcare outcomes. Drawing from numerous healthcare data sets, the book equips professionals with essential skills for analyzing and interpreting data, offering practical insights for those navigating the intricacies of the healthcare industry. Notably, Shanmugam emphasizes up-to-date concepts, introduces new methodologies, and provides hands-on applications using widely available software like Excel, Microsoft Mathematics, MathSolver, and JASP, ensuring the relevance and applicability of the content in real-world healthcare scenarios.