Workshop on IoT-enabled Healthcare Solutions
Date: 21 Oct 2022, Fri | Time: 1000 - 1130| Track Type: WorkshopFormat: Face-to-face | Venue: L2-S3&S4, AcademiaCategory: Technology & Innovation | Workshop Level: Not Applicable
Speaker: Mr Kumbar Shankarappa
The growing ageing population and chronic diseases have fueled increasing demand for medical personnel. Internet of Things (IoT) in healthcare can be a solution to a number of problems faced by the industry. It also has a major impact on reducing healthcare costs significantly and improving treatment outcomes. Furthermore, remote monitoring of patient’s health helps in reducing hospital stay and chances of re-admissions. The emerging field of IoT holds great potential to meet the unmet needs of healthcare. The global IoT in the healthcare sector is expected to hit US$446.52 billion by 2028. The integration of artificial intelligence (AI) and machine learning (ML) through IoT offers advance solutions for healthcare provides. This helps in improving operational efficiency, diagnosing and predicting ailments. The integration of health and technology can help in delivering higher quality healthcare needs. The growing number of smart and wearable devices to track health of patients is likely to fuel the demand for patient monitoring. It also offers opportunities for individuals to increase their participation in understanding their healthcare needs.
This hands-on workshop provides an overview of the IoT and its applications in the healthcare sector. This will help participants gain knowledge to develop applications, understand the IoT ecosystem and its advances in healthcare sector. Participants will also gain practical experience in IoT systems through exposure to appropriate hardware and software platforms. The coverage includes basic IoT components, sensor data and cloud platforms. The case studies involve how to get started with developing IoT solutions. The workshop will also discuss different IoT platforms and how to connect different sensors, transmit and receive sensory data. There will be a discussion on case studies during the workshop. This workshop will also provide valuable insights to participants on how to design IoT systems for remote monitoring of patients. Emphasis will be placed on the architecture and design of IoT systems.
Learning Outcomes:By the end of the workshop, you should be able to:
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