Dear Colleagues,

The progress of the healthcare sector is incremental as it learns from associations between data over time through the application of suitable big data and IoT frameworks and patterns. Many healthcare service providers are employing IoT-enabled devices for monitoring patient health care, but their diagnoses and prescriptions are instance-specific only. However, these IoT-enabled healthcare devices are generating volumes of data (Big IoT Data), that can be analyzed for more accurate diagnoses and prescriptions. A major challenge in the above realm 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 shall be intolerable in healthcare because patients’ lives are at stake.

There is a need to address various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns. Healthcare is a multidisciplinary field that involves a range of factors, like the financial system, social factors, health technologies, and organizational structures that affect the healthcare provided to individuals, families, institutions, organizations, and populations. The goals of healthcare services include patient safety, timeliness, effectiveness, efficiency, and equity. Smart healthcare consists of m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices. The Internet of Things (IoT) is a system comprising real-world things that interact and communicate with each other via networking technologies. The wide range of potential applications of IoT includes healthcare services. IoT-enabled healthcare technologies are suitable for remote health monitoring, including rehabilitation and assisted ambient living. In turn, healthcare analytics can be applied to the data gathered from different areas to improve healthcare at a minimum expense.

So, research articles, reviews and studies in this area of study are welcome. We look forward to receiving your contributions.

Dr. Tawseef Ayoub Shaikh

Section Editor