ai in health

1. An Analysis of the Factors
Affecting the Design of
IoT-Based Smart Hospitals

2. Introduction
The integration of IoT technology
in healthcare services has led to a
revolutionary concept known as
smart hospital design. This
presentation provides an analysis
of the key factors that can optimize
smart hospital design.

3. Abstract
Rapidly developing digital technological innovations are transforming integrated information management
processes across all sectors. The Internet of Things (IoT) technology plays a crucial role in this
transformation by enabling devices to connect and work seamlessly. IoT leverages a variety of
technologies, including sensors, connection methods, internet protocols, databases, cloud computing,
and analytics to create an efficient infrastructure.

4. CURRENT CHALLENGES IN
HEALTHCARE
• The healthcare industry faces a variety of challenges, including
patient safety, cost control, and staff shortages.
• These challenges can impact healthcare outcomes and hinder
progress.
• Smart hospital design offers a solution to these problems by
leveraging the latest technologies to optimize healthcare services
and improve patient care.
• This presentation provides an in-depth analysis of the key factors
that can optimize smart hospital design.

5. Benefits of Smart Hospital Design
Smart hospital design can lead to numerous improvements in healthcare services, including enhanced
patient outcomes, staff efficiency, and cost-effectiveness. Additionally, it can elevate the overall patient
experience and satisfaction rates. This presentation delves into the key features of smart hospital design
that can achieve these benefits.

6. Cause and Effect Diagram for Inadequate
Smart Hospital Design
Inadequate smart hospital design can have serious consequences for
both patients and healthcare providers. This cause and effect diagram
highlights the key factors that can lead to such inadequate design,
including insufficient planning, lack of investment, and poor
communication. By addressing these factors, healthcare leaders can
ensure that their smart hospital design initiatives are successful,
sustainable, and effective.

7. IOT IN SMART HOSPITAL DESIGN
IoT technology enables real-
time monitoring, data
analytics, and automation in
smart hospital design. It can also
improve patient engagement
and communication.

8. Optimizing IoT System Design and
Modeling.
The Internet of Things (IoT) has revolutionized the way we interact with technology. However,
designing and modeling IoT systems can be a challenging task. The traditional three-layer
infrastructure approach for IoT system design and modeling - consisting of the perception layer,
network layer, and application layer - may not always be suitable for all IoT applications. For instance,
this approach can fall short in adequately reflecting the complexity of system components, leading to
high energy consumption, low integration ability, and communication difficulties. As such, alternative
system designs must be considered to optimize IoT performance and efficiency.
One possible alternative is to use a distributed approach, where the computing and storage
resources are distributed across the system components, rather than centralized in the
cloud. This can improve scalability, reliability, and latency, while reducing bandwidth
requirements and operating costs. Another option is to use a hybrid approach that combines
the benefits of both centralized and distributed architectures. This can enable efficient data
management, real-time analytics, and seamless integration with existing systems.

9. Key Factors in Smart Hospital Design
• Patient-centered design: Hospitals should prioritize the needs and comfort of patients,
including factors such as lighting, noise levels, and privacy.
• Flexibility: Smart hospitals should be designed with the ability to adapt and change as new
technologies and patient needs emerge.
• Scalability: Hospitals should be able to scale up or down as needed, without compromising
patient care or safety.
• Interoperability: Hospital systems should be able to communicate and share data with each
other, as well as with external systems such as electronic health records.
• Security: Smart hospitals should be designed with robust cybersecurity measures to protect
patient data and prevent unauthorized access.

10. Optimizing the Networking Layer for
IoT Systems
The networking layer is a critical component of IoT systems, responsible for connecting devices and
facilitating data exchange. In order to optimize IoT performance, several factors related to the networking
layer need to be considered:
• Security: Digital systems are vulnerable to attacks, and IoT devices are no exception. To ensure
the safety and privacy of users, robust security measures must be implemented to prevent
unauthorized access and data breaches.
• Standardization: IoT systems often involve a large number of heterogeneous devices that need
to communicate with each other. Standardization of communication protocols and interfaces can
help ensure interoperability and ease of integration.
• Scalability: The number of connected devices in an IoT system can grow rapidly, and the
networking layer needs to be designed to handle this large scale growth. This includes
considerations for network topology, routing, and load balancing.
• Privacy: Data confidentiality and authentication are essential to protect user privacy in IoT
systems. Access control mechanisms must be implemented to prevent unauthorized access to
sensitive data.

11. Wearable and Ambient Sensors for IoT
Applications
Wearable sensors can provide continuous monitoring of physiological parameters and activity levels,
while ambient sensors can capture data about the environment. Here are some examples of both types
of sensors:
• Electrocardiogram sensor (ECG): Measures the electrical activity of the heart and can detect
irregular heartbeats.
• Blood pressure cuff: Measures blood pressure and can be used to monitor cardiovascular health.
• Heartbeat sensor (Sunrom-1157): Detects heart rate and can be used for fitness tracking.
• Physiological sensors (Spirometer): Measures lung function and can be used to monitor
respiratory health.
• GPS: Provides location data and can be used for tracking and navigation.

12. Ambient sensors can capture data about the environment
that can be used for a variety of purposes, such as energy
management, air quality monitoring, and security.
Here are some examples:
• Temperature sensor (LM35): Measures ambient temperature and can be used for climate
control and energy management.
• Light dependent resistor (LDR): Measures ambient light levels and can be used for lighting
control and energy management.
• Thermometer: Measures temperature and can be used for climate control and energy
management.
• Hygrometer: Measures humidity and can be used for climate control and energy management.
• Noise detector: Measures ambient noise levels and can be used for security and noise pollution
monitoring.
• Motion detector: Detects motion and can be used for security and occupancy sensing.

13. PATIENT-CENTERED DESIGN
Patient-centered design is an approach to healthcare that prioritizes patient needs, comfort, and
safety. By focusing on the patient experience, it can lead to improved patient outcomes and
satisfaction.
This approach involves understanding and addressing the unique needs of each patient, and involving
patients in the design and delivery of their care. It also emphasizes the importance of creating a healing
environment that promotes relaxation and reduces stress.
Patient-centered design has been shown to improve patient outcomes in a variety of settings, including
hospitals, clinics, and long-term care facilities. By prioritizing the needs and experiences of patients,
healthcare providers can create a more effective and compassionate healthcare system.

14. The IoT Remote Services Layer
The IoT remote services layer is responsible for managing numerous connected nodes in a distributed
environment. In order to establish an efficient remote services layer infrastructure, the design team must
consider three main factors.
1. Computational technology: The design must account for the processing power and hardware
requirements necessary to handle the necessary data and communication demands.
2. Node placement: The arrangement of nodes must be carefully considered in order to allow for
increased interaction and optimize the network's performance.
3. Design parameters: The design must take into account the specific requirements of the network,
including security, reliability, and scalability.
By addressing these factors, the design team can create an optimized remote services layer that can
effectively manage the interactions of numerous connected devices, leading to improved overall system
performance.

15. The Networking Layer
The design of IoT networks specifies a method for transmitting packets from source to destination using
resource-constrained devices. These networks are expected to operate for extended periods of time to
collect, analyze, and transmit large amounts of data from a distributed system.
To define the infrastructure of the network layer, designers must analyze the following six factors:
1. Communication types: Defining the types of communication necessary for the network's
intended use case.
2. Connection technology: Selecting the most appropriate connection technology for the
network's requirements.
3. Interoperability environment: Constructing an interoperable environment using networking
technologies to ensure compatibility between devices.
4. Network protocol: Selecting the appropriate network protocol for the network's intended use
case.
5. Information processing: Defining appropriate information processing approaches to handle
large amounts of data.
6. Design optimization: Optimizing the design parameters to ensure the network operates
efficiently and effectively.
By carefully considering these factors, designers can create a robust and effective networking layer for
their IoT networks, capable of transmitting data reliably and efficiently between resource-constrained
devices.

16. FLEXIBILITY AND SCALABILITY
Flexibility and scalability are essential elements of smart hospital design, allowing hospitals to adapt to
changing patient needs and evolving technology. By prioritizing flexibility and scalability, hospitals can
improve cost-effectiveness and efficiency, ultimately leading to better patient outcomes and experiences.
Flexibility enables hospitals to quickly respond to changes in patient needs, such as fluctuations in
demand for certain services or changes in patient demographics. This can include the ability to easily
reconfigure rooms or add new technologies to support patient care.
Scalability refers to the ability of a hospital's infrastructure and technology to grow and adapt over time.
This can include expanding facilities, upgrading equipment and technology, and improving processes to
better meet patient needs.
By investing in flexible and scalable design, smart hospitals can better meet the needs of their patients
and staff, while also improving efficiency and reducing costs. Overall, flexibility and scalability are critical
components of successful hospital design, enabling hospitals to provide high-quality care today and in
the future.

17. INTEROPERABILITY
Interoperability is a critical feature of IoT systems, enabling different devices and systems to
communicate and share data. By breaking down silos between devices and systems, interoperability
improves data accuracy and efficiency, while also enabling new use cases and applications.
Interoperability is particularly important in healthcare, where data sharing between devices can improve
patient outcomes and reduce costs. For example, interoperability can enable a patient's health data to be
shared between different healthcare providers, allowing for more coordinated care and better outcomes.
However, achieving interoperability can be challenging, as different devices and systems may use
different communication protocols or data formats. To address this, standards organizations like the IEEE
and IETF have developed protocols and guidelines for IoT interoperability.
By prioritizing interoperability in IoT system design, developers can create more flexible and adaptable
systems, capable of sharing data and services with other devices and systems. Ultimately, this can lead
to improved efficiency, innovation, and patient outcomes.

18. Optimizing Factors for the Remote
Services Layer:
During the design phase of the Remote Services Layer, it is important to consider six key design
parameters. These parameters are:
1. Heterogeneous network design
2. Scalability
3. Standardization
4. Energy efficiency
5. Communication
6. Interoperability
By carefully considering and optimizing these design parameters, the Remote Services Layer can be
designed and implemented in a way that maximizes efficiency, performance, and functionality.

19. Taxonomy Diagram of Proposed Five-
Layered IoT Architecture
The proposed IoT architecture is composed of five layers: the sensing layer, network layer, middleware
layer, application layer, and business layer. Each layer has a specific function and interacts with the other
layers to provide a cohesive and effective IoT system.
The sensing layer is responsible for collecting data from sensors and devices, while the network layer
facilitates communication between devices and systems. The middleware layer provides services like
data processing and storage, and the application layer enables the development of IoT applications and
services.
Finally, the business layer is responsible for managing and monetizing the IoT system, including tasks like
billing and customer service.
The proposed five-layered IoT architecture offers a flexible and scalable framework for designing and
implementing IoT systems. By carefully considering the functions and interactions of each layer,
developers can create IoT systems that are efficient, effective, and well-suited to their specific use cases
and applications.

20. Maximum Signal Rates and Nominal
TX Power for Wireless Networks
When designing wireless networks, it is important to consider the maximum signal rates and nominal TX
power for different types of networks, including PAN (Personal Area Network), LAN (Local Area
Network), and WAN (Wide Area Network).
For maximum signal rate, LPWAN (Low Power Wide Area Network) is the most appropriate option. This
is because LPWAN networks are designed to provide long-range communication with low power
consumption, making them ideal for IoT devices that require low data rates and long battery life.
When it comes to nominal TX power, the appropriate power level depends on the network generation
and the specific use case. For PAN networks like Bluetooth and Zigbee, the nominal TX power ranges
from 0-10 dBm and -25 to 0 dBm. For LAN networks like Wi-Fi, the nominal TX power ranges from 15-20
dBm. For WAN networks like cellular and LPWAN, the nominal TX power is 20 dBm, but can vary
depending on the generation of the network and the specific use case.
The maximum output power that is fed to the antenna also depends on the generation of the network
and the specific use case. In general, WAN and LPWAN networks are the best options for achieving high
output power in dBm. However, the appropriate choice between these two options will depend on the
specific requirements of the wireless network being designed.
The maximum signal rates for different types of networks also vary. For PAN networks like Bluetooth and
Zigbee, the maximum signal rate ranges from 250 kb/s to 2 Mb/s. For LAN networks like Wi-Fi, the
maximum signal rate is 433 Mb/s. For WAN networks like cellular and LPWAN, the maximum signal rate
is 50 kb/s, but can vary depending on the generation of the network and the specific use case.

21. Power Consumption and Battery Life
Considerations for Wireless Networks
When designing wireless networks, it is important to carefully consider the power consumption and
battery life for different types of networks, including PAN (Personal Area Network), LAN (Local Area
Network), and WAN (Wide Area Network).
For PAN networks like Bluetooth and Zigbee, the power consumption is medium to very low. For LAN
networks like Wi-Fi, the nominal TX power ranges from 15-20 dBm. For WAN networks like cellular and
LPWAN (Low Power Wide Area Network), the power consumption is high to very low. LPWAN is designed
to provide long-range communication with low power consumption, making it ideal for IoT devices that
require low data rates and long battery life. Thus, either Zigbee or LPWAN should be selected to achieve
low power consumption.
When it comes to battery life, the appropriate duration depends on the specific use case and network
type. For PAN networks like Bluetooth and Zigbee, the battery life is typically several days. For LAN
networks like Wi-Fi, the battery life is typically several hours. For WAN networks like cellular and LPWAN,
the battery life is typically low to long, depending on the specific network generation and use case.

22. SECURITY
Security is crucial in smart hospital design to protect patient data and privacy. It also ensures reliability
and safety of IoT devices and systems.

23. Transformation of Raw Data into
Meaningful Knowledge Based on IoT
Raw Data
Data collected from various sources
Data Integration
Data from different sources combined
Data Analysis
Extracting insights from the data
Data Visualization
Presenting data in visual form

24. Conclusion
Smart hospital design using IoT technology can optimize healthcare services by improving patient
outcomes, staff efficiency, and cost-effectiveness. Successful implementation requires careful
consideration of key factors such as patient-centered design, flexibility, scalability, interoperability, and
security.

25. References:
Commun Surv Tutorials 17(4):2347–2376
Technology Symposium (IDPT 2005). Society for Design and Process Science, Beijing. pp 143–150
management capacity. Technol Forecast Soc Chang 136:347–354
• Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M (2015) Internet of things: A survey
on enabling technologies, protocols, and applications. IEEE
• Sterritt R, Hinchey M (2005) From here to autonomicity: Self-managing agents and the biological
metaphors that inspire them. In: Integrated Design & Process
• Ashton K, et al (2009) That ‘internet of things’ thing. RFID J 22(7):97–114
• Strategy I, Unit P (2005) ITU Internet Reports 2005: The internet of things. Geneva Int
Telecommun Union (ITU) 1:62
• Santoro G, Vrontis D, Thrassou A, Dezi L (2018) The Internet of Things: Building a knowledge
management system for open innovation and knowledge

26. Thank YOU!