English | 2023 | ISBN: 1640553576 | 493 pages | True PDF EPUB | 38.08 MB
The Healthcare Quality Book provides a framework, methodology, and practical approaches to assist healthcare professionals in championing improvement efforts. The book is divided into three sections that cover the fundamentals of healthcare quality, critical quality topics, and key strategies for effectively leading quality.
The extensively revised fifth edition of this definitive text brings together healthcare thought leaders with a wide range of subject matter expertise. Chapter contributors explore the foundation of healthcare quality, share their perspectives on essential and cutting-edge topics, and offer strategies for learning the skills to lead a culture of quality.

English | 2022 | ISBN: 0367895951, 978-0367895952 | 349 pages | True PDF | 10.83 MB
This fully updated edition of the bestselling textbook on Health Service Operations Management provides an invaluable reference for students and researchers in the fields of healthcare management, operations management and patient flow logistics. Featuring theoretical frameworks and a comprehensive set of practical case studies, this book also covers subjects such as hospital planning and supply chain management in healthcare, quality assurance and performance management.
Healthcare managers work together with healthcare professionals in a multitude of challenging scenarios. Trade-offs have to be made between waiting times for customers and efficient use of scarce resources, between quality of care and quality of services, between the perspective of a single pathway and the total system, and between the perspective of a single provider and that of a network of providers working together in the chain of primary care, hospitals, nursing homes and home care. This book guides healthcare students and professionals through a set of practical tools and resources, ranging from simple queueing models to more complicated analytical models, to help address these issues.

English | 2022 | ISBN: 978-1032145457 | 398 pages | True PDF | 38.01 MB
This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems.
The book:

English | 2022 | ISBN: 109811292X | 245 pages | True PDF | 5.85 MB
Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data.
This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and harmonization to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics.

English | 2022 | ISBN: 1640553223 | 561 pages | True PDF EPUB | 135.06 MB
Financial realities play an important role in many, if not most, management decisions made in healthcare organizations. Financial acumen is a critical professional competency for all healthcare managers, regardless of the functional area or setting they work in.
Fundamentals of Healthcare Finance provides a solid grounding in the principles and tools of accounting and finance that managers use daily. From planning and budgeting to risk analysis and financial reporting, core concepts are clearly explained and supported by real-world examples.

English | 2023 | ISBN: 978-8770223898 | 312 pages | True PDF | 30.22 MB
Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement.
This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients' lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms.

English | 2023 | ISBN: 1032304936 | 227 pages | True PDF | 7.93 MB
Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice.
This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions.

English | 2022 | ISBN: 1804610216 | 224 pages | True PDF | 15.48 MB
Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizations
Key Features

English | 2022 | ISBN: 9355512406 | 310 pages | True EPUB | 5.51 MB
How the Blockchain Technology is Changing the Landscape of HealthCare
Key Features

Kumar T Evolutionary Intelligence for Healthcare Applications 2023 | 10.3 MB
English | 136 Pages

Title: Evolutionary Intelligence for Healthcare Applications
Author: T. Ananth Kumar
Year: 2022