Note
0.0
(0)
Rate it
Take a practice test
Chat with Kai
Explore Top Notes
ISD4 Orthodontics
Note
Studied by 2 people
5.0
(1)
Chapter 26: Business Cycles, Unemployment, and Inflation
Note
Studied by 26 people
5.0
(1)
Group 0 Elements
Note
Studied by 6 people
5.0
(1)
Chapter 3: The Income Statement
Note
Studied by 209 people
5.0
(3)
Chapter 4 EU
Note
Studied by 17 people
5.0
(2)
Chapter 27: Credit and the Law
Note
Studied by 11 people
4.0
(2)
Home
Notes on IoT in Health Care and Challenges of Aging Populations
Notes on IoT in Health Care and Challenges of Aging Populations
Challenges of Aging Populations
Increasing number of people with chronic conditions worldwide.
Burden on healthcare demands focusing on self-management and innovation.
Digital Devices and IoT Overview
Over 21 billion devices connected to the Internet in 2020, 5x prior years.
IoT defined: Network of identifiable devices collecting and sharing data.
Health devices: Mobile phones, wearables, implantable devices that monitor health.
Applications of IoT in Healthcare
IoT applications improve chronic condition management:
Remote health monitoring.
Early detection and intervention.
Improved adherence to treatment plans.
Services include eHealth, mHealth, community care.
Evolution of Health Systems Post-COVID-19
COVID-19 accelerated adoption of technology in healthcare.
Shift from traditional healthcare delivery to virtual models.
Importance of understanding IoT's role in global health crises.
IoT-Based Health Care Architecture
Perception Layer
:
Comprises sensing systems (e.g., RFID, medical sensors).
Collects real-time health data for timely interventions.
Network Layer
:
Communication occurs via various technologies (Wi-Fi, Bluetooth, 5G).
Data can be processed centrally or near the source (edge computing).
Importance of cloud computing for data management.
Application Layer
:
Uses AI for enhanced diagnosis and treatment decisions.
Examples include IBM Watson’s diagnostic capabilities.
Expansion of Smart Health Care
Smart health care aims to make healthcare more efficient and personalized.
Virtual models and sensor use extend care from hospitals to homes.
COVID-19 has prompted quicker adoption of digital health solutions.
Enhancing Accessibility in Primary Health Care
Emphasis on disease prevention is critical given the burden of chronic diseases.
IoT can facilitate self-management, particularly outside of clinical settings.
AI chatbots provide on-demand health information, though many lack regulation.
Secondary and Tertiary Care Improvements
IoT allows for proactive, coordinated care models.
Improvements in efficiency and resource utilization possible through technology.
Enablers of IoT-Based Healthcare
Policy Support
: Development of supportive regulations in various countries.
Accessibility
: Technology must remain affordable and user-friendly.
Cybersecurity
: Strong guidelines essential for safe market adoption.
Barriers to Adoption
Public Awareness
: Lack of understanding regarding data safety poses risks.
Privacy Concerns
: Potential for cyberattacks raises questions about data security.
Interoperability Issues
: Lack of standard protocols impedes wider adoption.
Recommendations for Future Research
Focus on standardization and interoperability in IoT devices.
Investigate the effectiveness of blockchain vs. cloud storage for health data.
Develop clinical guidelines for digital health services and admin policies.
Conclusion
IoT has the potential to transform healthcare effectively and efficiently.
Addressing data management, security, and interoperability will drive successful adoption.
Note
0.0
(0)
Rate it
Take a practice test
Chat with Kai
Explore Top Notes
ISD4 Orthodontics
Note
Studied by 2 people
5.0
(1)
Chapter 26: Business Cycles, Unemployment, and Inflation
Note
Studied by 26 people
5.0
(1)
Group 0 Elements
Note
Studied by 6 people
5.0
(1)
Chapter 3: The Income Statement
Note
Studied by 209 people
5.0
(3)
Chapter 4 EU
Note
Studied by 17 people
5.0
(2)
Chapter 27: Credit and the Law
Note
Studied by 11 people
4.0
(2)