Blockchain and IoT based Smart Healthcare Systems

The Role of Emerging Technologies in Smart Health Care

Author(s): Jaskiranjit Kaur* and Parvesh Kumar

Pp: 1-26 (26)

DOI: 10.2174/9789815196290124010004

* (Excluding Mailing and Handling)

Abstract

Numerous technological advancements like 3-D Printing, Virtual Reality (VR), Augmented Reality (AR), Artificial Intelligence (AI), Internet of Things (IoT), Drones, Robots, and Blockchain are now being inscribed for their ability to change the health care industry and make it a more automated and effective field. Various tools related to AI, like Google, DeepMind, Atomwise, Chatbot, Enlitic, Freenome, and Buoy Health, are helpful in makingthe health industry more efficient. There is another technology which is nanomicelle that can be used for effective drug delivery to treat various cancers, including breast, colon, and lung cancer. Moreover, self-assembling peptide nanoparticles that were prepared from SARSCov-1 spike (S) protein, successfully induced neutralizing antibodies against the coronavirus, subsequently preventing infection of Vero cells. Furthermore, the application of 3D printing in medicine can provide many benefits, including the customization and personalization of medical products, drugs, and equipment; cost-effectiveness; increased productivity; democratization of design and manufacturing; and enhanced collaboration. IoT enables real-time alerting, tracking, and monitoring, which permits hands-on treatment, better accuracy, apt intervention by doctors, and improves patient care delivery results. The other most promising application isblockchain in the healthcare sector for identity management, dynamic patient consent, and management of supply chains for medical supplies and pharmaceuticals. In addition, there are several case studies that describe the benefits of emerging tools, like recently the use of Emerging Technologies for the study, diagnosis, and treatment of patients with COVID-19 by using Deep Convolutional neural networks (CNN), which is a widely used deep learning architecture, enabled distinguishing between COVID-19 and other causes of pneumonia through chest X-ray image analysis.

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