Price: $46.29
(as of Nov 19,2024 14:39:17 UTC – Details)

ASIN ‏ : ‎ B07FM5MCCL
Publisher ‏ : ‎ Routledge; 1st edition (August 26, 2019)
Publication date ‏ : ‎ August 26, 2019
Language ‏ : ‎ English
File size ‏ : ‎ 4045 KB
Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 114 pages
Page numbers source ISBN ‏ : ‎ 1498755070

Healthcare Analytics: Foundations and Frontiers

In today’s rapidly evolving healthcare landscape, the use of analytics is becoming increasingly essential for improving patient outcomes, reducing costs, and enhancing overall quality of care. Healthcare analytics involves the collection, processing, and analysis of data to uncover insights that can drive better decision-making and ultimately, transform the way healthcare is delivered.

At its core, healthcare analytics is built on a foundation of data-driven decision-making. By harnessing the vast amounts of data generated within healthcare systems, organizations can identify patterns, trends, and correlations that can inform clinical and operational strategies. From patient outcomes and treatment effectiveness to resource allocation and revenue cycle management, analytics plays a crucial role in driving performance improvements across the healthcare continuum.

However, the field of healthcare analytics is not without its challenges and complexities. As healthcare data grows in volume and complexity, organizations must grapple with issues such as data quality, interoperability, and privacy concerns. Additionally, the rapid pace of technological innovation means that healthcare analytics tools and techniques are constantly evolving, requiring organizations to stay abreast of the latest developments in order to remain competitive.

Despite these challenges, the potential of healthcare analytics to revolutionize the industry is vast. From predictive modeling and population health management to personalized medicine and precision medicine, analytics holds the promise of unlocking new insights and opportunities for improving patient care and driving operational efficiencies.

In this post, we will explore the foundations of healthcare analytics, including key concepts and methodologies, as well as the frontiers of the field, such as artificial intelligence, machine learning, and predictive analytics. We will also examine the role of healthcare analytics in shaping the future of healthcare delivery and discuss strategies for overcoming the challenges that organizations may face in implementing analytics initiatives.

Join us as we delve into the world of healthcare analytics and discover the potential for transforming the way healthcare is delivered, one data point at a time.
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