Main description:

Improved computing technology combined with IoT-enabled smart devices and the digitization of personal health records (PHRs) has created vast quantities of patient data in recent years. The availability of this data and new processing methods are enabling clinicians to provide better care for patients and has sparked a growing interest in consumer health informatics (CHI) and in the potential of patient-generated health data (PGHD).

This edited book looks at the current and future trends in CHI and PGHD for various health informatic technologies. It is hoped that this analysis of the existing applications will inform network management and data analytics for healthcare systems. The book explores new models for processing this data to infer new results and outlines the many challenges faced, such as interoperability, consumerisation, fostering two-way communication, digitisation of healthcare systems in clinical settings, and patient engagement.

The book presents advances in healthcare informatics technologies, by highlighting improvements and introducing emerging technologies and platforms for different applications in healthcare. The editors focus on methodologies, theories, tools, applications, trends, challenges, and case studies in and of healthcare informatics.

Bringing together chapters on bioinformatics, augmented reality, image processing, wireless smart wearable devices, communication technologies (and related security and privacy solutions), the editors provide a cohesive review of healthcare informatics, which will be a valuable reference for researchers, industry practitioners, and related government agencies staff.

Contents:

Chapter 1: Introduction to Healthcare Informatics: Fundamentals and Historical Background
Chapter 2: Healthcare informatics: An overview of privacy and security
Chapter 3: Health Informatics and its Contribution to Health Sectors
Chapter 4: Role of Internet of Things and Artificial Intelligence for Healthcare Informatics: An Overview
Chapter 5: Blockchain for Security and Privacy in Healthcare Informatics
Chapter 6: Unification of Machine Learning and Blockchain Technology in Healthcare Industry
Chapter 7: Robotics and Process Automation Technologies for Healthcare Informatics
Chapter 8: Evolving Technologies: IoT and Artificial Intelligence for Healthcare Informatics
Chapter 9: Confidentiality, Integrity, Authentication (CIA) Model for Secured Storage and Processing of Personal Health Records using Merkle Hash Tree and Recurrent Neural Networks (RNN)
Chapter 10: Blockchain technology integrity in health informatics using hyper ledger platform
Chapter 11: A Recent Study Based on Prediction Approach over Coronavirus Disease-2019 Cases in India using Regression Modeling of Artificial Intelligence