Hospital funding plays an important role in strengthening healthcare and medical resources. Utilizing comprehensive costing systems to accommodate clinical and financial data leads to improved patient care both clinically and financially. Clinical Costing Techniques and Analysis in Modern Healthcare Systems provides innovative insights into the connections between statistical information and financial systems within clinical settings. The content within this publication delves into business intelligence, clinical decision making, and electronic health records. It is geared towards medical practitioners and professionals, hospital administrators, and researchers seeking valuable insights centered on clinical variations of healthcare data as well as the role of information systems in linking productivity and performance management.

Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.

Healthcare sectors often deal with a large amount of data related to patients’ care and hospital workforce management. Mistakes occur, and the impending results are disastrous for individuals’ personal identity information. However, an innovative and reliable way to safeguard the identity of individuals and provide protection of medical records from criminals is already in effect. Design and Implementation of Healthcare Biometric Systems provides innovative insights into medical identity theft and the benefits behind biometrics technologies that could be offered to protect medical records from hackers and malicious users. The content within this publication represents the work of ASD screening systems, healthcare management, and patient rehabilitation. It is designed for educators, researchers, faculty members, industry practitioners, graduate students, and professionals working with healthcare services and covers topics centered on understanding the practical essence of next-generation healthcare biometrics systems and future research directions.

Tele-audiology, a blanket term for digital health solutions in audiology and auditory rehabilitation, including education and training, has recently been gaining pace, partly driven by commercial developments in remote otoscopy, remote audiometry, and hearing aids that can be adjusted by a remote professional. Due to these advances, clinicians have the potential to expand their practices and better serve patients in rural areas. However, audiologists are reluctant to use tele-audiology. Tele-Audiology and the Optimization of Hearing Healthcare Delivery is a collection of innovative research on the methods and applications of technologies that advance audiology and auditory rehabilitation, and allows healthcare providers to offer hearing healthcare at a distance and in a manner that provides appropriate outcomes and reduces delivery costs. This publication examines research findings from real-world experience of tele-audiology and covers topics including eHealth, security management, and internet interventions. It is ideally designed for audiologists, speech pathologists, care providers, medical professionals, academicians, and researchers.

With more restrictions upon animal experimentations, pharmaceutical industries are currently focusing on a new generation of experiments and technologies that are considerably more efficient and less controversial. The integration of computational and experimental strategies has led to the identification and development of promising compounds. Computer Applications in Drug Discovery and Development is a pivotal reference source that provides innovative research on the application of computers for discovering and designing new drugs in modern molecular biology and medicinal chemistry. While highlighting topics such as chemical structure databases and dataset utilization, this publication delves into the current panorama of drug discovery, where high drug failure rates are a major concern and properly designed virtual screening strategies can be a time-saving, cost-effective, and productive alternative. This book is ideally designed for chemical engineers, pharmacists, molecular biologists, students, researchers, and academicians seeking current research on the unexplored avenues and future perspectives of drug design.

In recent decades, the industrial revolution has increased economic growth despite its immersion in global environmental issues such as climate change. Researchers emphasize the adoption of circular economy practices in global supply chains and businesses for better socio-environmental sustainability without compromising economic growth. Integrating blockchain technology into business practices could promote the circular economy as well as global environmental sustainability. Integrating Blockchain Technology Into the Circular Economy discusses the technological advancements in circular economy practices, which provide better results for both economic growth and environmental sustainability. It provides relevant theoretical frameworks and the latest empirical research findings in the applications of blockchain technology. Covering topics such as big data analytics, financial market infrastructure, and sustainable performance, this book is an essential resource for managers, operations managers, executives, manufacturers, environmentalists, researchers, industry practitioners, students and educators of higher education, and academicians.

In modern healthcare, various medical modalities play an important role in improving the diagnostic performance in healthcare systems for various applications, such as prosthesis design, surgical implant design, diagnosis and prognosis, and detection of abnormalities in the treatment of various diseases. Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare discusses the uses of analysis, modeling, and manipulation of modalities, such as EEG, ECG, EMG, PCG, EOG, MRI, and FMRI, for an automatic identification, classification, and diagnosis of different types of disorders and physiological states. The analysis and applications for post-processing and diagnosis are much-needed topics for researchers and faculty members all across the world in the field of automated and efficient diagnosis using medical modalities. To meet this need, this book emphasizes real-time challenges in medical modalities for a variety of applications for analysis, classification, identification, and diagnostic processes of healthcare systems. Each chapter starts with the introduction, need and motivation of the medical modality, and a number of applications for the identification and improvement of healthcare systems. The chapters can be read independently or consecutively by research scholars, graduate students, faculty members, and practicing scientists who wish to explore various disciplines of healthcare systems, such as computer sciences, medical sciences, and biomedical engineering. This book aims to improve the direction of future research and strengthen research efforts of healthcare systems through analysis of behavior, concepts, principles, and case studies. This book also aims to overcome the gap between usage of medical modalities and healthcare systems. Several novel applications of medical modalities have been unlocked in recent years, therefore new applications, challenges, and solutions for healthcare systems are the focus of this book.

The rapidly growing developments in medicine and science in the last few decades has evoked a greater need for modern institutions, with modern medicine, advanced technologies, and cutting edge research. Today, the modern hospital is a highly competitive, multibillion dollar industry that plays a large role in our healthcare systems. Far different from older institutions, modern hospitals juggle the dynamics of running a business that proves financially fruitful and sustainable, with maintaining and staying ahead of medical developments and offering the best possible patient care. This comprehensive book explores all aspects of the inner workings of a modern hospital, from research and technology driven treatment and patient centered care, to the organizational, functional, architectural, and ergonomic aspects of the business. The text is organized into three parts. The first part covers a number of important aspects of the modern hospital including hospital transformation over the centuries, the new medical world order, overall concept, academic mission and economics of new healthcare. Additionally, experts in the field address issues such as modern design functionally and creating an environment that is ergonomically friendly, technologically advanced, and easy to navigate for both worker and patient. Other topics covered include, the role of genomics and nano-technologies, controversies that come with introducing new technologies, the world-wide pharmaceutical industry, electronic medical health records, informatics, and quality of patient care. Part II addresses nine specific elements of modernization of the hospital that deal with high acuity, life and death situations, and complex medical and surgical diseases. These chapters cover the organization of new emergency departments, trauma room, hybrid operating rooms, intensive care units, radiology, pharmaceutical and nutritional support, and most essential, patient and public relation services. These nine elements reflect the most important and most visible indicators of modernization and transformation of the hospital. Part III examines and highlights the team approach as a crucial component of the transformation, as well as specific perspectives on the modern hospital from nurses, physicians, surgeons and administrators. Finally, a chapter dedicated to patient perspective is also presented. The Modern Hospital provides an all-inclusive review of the hospital industry. It will serve as a valuable resource for administrators, clinicians, surgeons, nurses, and researchers. All chapters will be written by practicing experts in their fields and include the most up-to-date scientific and clinical information.

Turbulent changes in worldwide economies and decreases in overall quality of life have led to a re-evaluation of the current state of health services. Improvements in this sector will allow for more efficient healthcare delivery to the public, as well as increased patient satisfaction. Effective Methods for Modern Healthcare Service Quality and Evaluation is an authoritative reference source for the latest research on emerging tools and methodologies for the design of healthcare models, providing expert analyses on trouble-shooting specific problems in the industry and creating optimal hospital environments. Highlighting various perspectives across a range of relevant health services, this book is ideally designed for policy makers, researchers, upper-level students, and practitioners.

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.