This document discusses the use of IoT in medical systems (IoMT). It begins with an overview and introduction to IoMT, describing how it enables machine-to-machine interaction and real-time intervention solutions. It then discusses communication channels in IoMT and applications like chronic disease management. Technologies for implementing IoMT are covered, along with the growing market landscape. Future prospects conclude that IoMT could significantly improve healthcare delivery by implementing connected devices, though challenges remain around device management and cybersecurity. Advantages include improved disease management and decreased costs, while disadvantages include costs and ensuring cybersecurity of connected devices.

1. IOT IN MEDICAL SYSTYEM
Prepared By
Rayies Ul Ashraf
M Tech, CS&E,
SVCE Bengaluru
Guided By
Mr. Prakasha G
Asst. Professor,
SVCE Bengaluru

2. OVERVIEW
 Why IoT
 Introduction
 Vision
 Communication channel
 IoMT Applications
 Technologies Enduring IoMT Implementation
 Market Landscape
 Future Prospects and Conclusion
 Advantages
 Disadvantages
 References

3. WHY IOT?
 The Internet of Things (IoT) ecosystem has a very
complex architecture, in which multiple components
interact with each other to enable various solutions
for the end user.
 This is an interdependent system, which enables
real-time data acquisition, device connectivity, data
transfers, and analytics to control end user
applications.
 IoT provides the connected environment,
comprising the cyber physical systems, which
integrates human intervention with computer-based
systems and facilitates data-driven decision
processes.

4. INTRODUCTION
 IoMT enables M2M interaction.
 Real time intervention solutions which will
radically transform the healthcare delivery,
affordability and reliability in near future.
 This Technology adoption rate will increase
in coming years to grow this market to reach
$156 Billion by 2020.

5. VISION
 Things Integration
 Data Integration
 Semantic Oriented

6. COMMUNICATION CHANNEL
 HOME CARE UNIT
 Image Digitlser
 Measurement Device
 User Display
 Modem
 COMMUNICATION
NETWORK
 Data Analyzer
 Storage Device
 HEALTH CARE TERMIINAL
 Physician Display
 Modem
 Physician Camera

7. IOMT APPLICATIONS
 Chronic Disease Management
 Remote Assisted Living
 Wellness and Preventive Care
 Remote Intervention
 Improved Drug Management

8. TECHNOLOGIES ENDUING IOMT
IPLEMENTATION
 Analytic Solution
 Servers & Cloud Solution
 Real-Time Analytics
 Device Connectivity &
Data Management
 Database Solution
 Network Devices
 Local Patient System &
Controls
 Firmware/Software
 Controllers
 Sensors & Actuators
 Physical Systems

9. MARKET LANDSCAPE
 The IoMT market is forecast to expand at a CAGR of 37
% to USD 156 billion by 2020
 Network Technologies connect patient devices to remote
locations and manage data transmission

10. FUTURE PROSPECTS AND CONCLUSIONS
 While IoT-based medical technology applications are
still in a nascent stage of development, the
implementation of connected devices could significantly
improve healthcare delivery.
 Considering the benefits and associated challenges,
IoMT seems a promising solution to improve healthcare
monitoring and treatment outcomes
 Recent research and developments in sensors,
networks, cloud storage & computing, as well as
mobility, and big data analytics have evolved enough to
enable the creation of affordable smart medical devices
and a connected healthcare ecosystem.

11. ADVANTAGES
 Improved Disease Management
 Homecare
 Better Patient Experience
 Decreased Cost
 Keep Patient Safe and Healthy

12. DISADVANTAGES
 Difficult for hospitals to manage IoT devices.
 Using IoT devices requires Cyber Security
 Costly Equipments

13. REFERENCES
 Buckley, J. (2006). From RFID to the Internet of Things :
Pervasive networked systems. In Report on the Conference
organized by DG Information Society and Media Networks
and Communication Technologies Directorate , Brussels,
March 6-7.
 Complete RFID Analysis and Forecasts, 2008
2018,www.idtechex.com/researchreports/.
 WANG Hong,Key technology of telemedicine based on 3G
network,//Chinese Hospitals.-2010,14(7):47-50
 T. Kriplean et al., "Physical Access Control for Captured RFID
Data,“ IEEE Pervasive Computing, vol. 6, no. 4, 2007, pp. 48-
55.
 Michael Chui, Markus Löffler, and Roger Roberts, The Internet
of Things; http://tc.indymedia.org/files/bigbrother/internet-spy-
all.pdf

14. THANK YOU