Al for Developing Countries CSSDs: Threat or Opportunity?

This presentation explores the dual nature of Artificial Intelligence (Al) as both a potential risk and a powerful opportunity for Central Sterile Supply Departments (CSSDs) in developing countries.
It outlines:

The definition of Al, Machine Learning, NLP, and Computer Vision.

Key healthcare challenges in developing nations - including limited access to care, poor infrastructure, and inequality.

The potential of Al to automate sterilization processes, enhance monitoring, and optimize inventory and decision-making.

Benefits such as improved safety, cost reduction, efficiency, and scalability across healthcare systems.

Major risks: hi ial costs, lack of technical expertise, ethical and privacy concerns, and overdependence on technology.

Through real-world examples - from Amazon's Al logistics to healthcare Al failures - the presentation emphasizes the need for strategic, ethical, and gradual Al implementation, focusing on training, local capacity-building, and international collaboration.The conclusion calls for investment in localized, affordable, and responsible Al solutions to transform sterilization services and strengthen healthcare systems in resource-limited settings.

1. AI for
Developing
Countries
CSSDs: Threator
Opportunity?
Hamid Zare Shah Mers
Iran

2. Machine Learning
(ML): Neural Networks
Deep Learning: Natural Language
Processing (NLP):
Computer Vision
What is AI?

3. What is developing country by
healthcare aspect?
Limited Access
to Healthcare
Lower Life
ExpectancyHigher Infant and
Maternal MortalityPrevalence of
Infectious Diseases
MalnutritionInadequate
Medical
Infrastructure
High Out-of-
Pocket Costs
Healthcare
Inequality

4. Modernization
with low-cost
solutions,
increased
healthcare
investment
Opportunities:
Limited
resources,
outdated
equipment, lack
of trained
personnel
Challenges:

5. Case Studies and Real-World Examples
Amazon’s AI-Driven Supply Chain: A Blueprint for the Future of
Global Logistics
•Accurate Demand Forecasting: AI enhances
prediction of product demand, reducing overstock
and stockouts.
•Real-Time Inventory Management: AI optimizes
inventory tracking, leading to efficient stock control.
•Logistics Optimization: AI improves delivery routes,
speeds up shipping, and reduces costs.
•Automation: Robotics automate warehouse
operations, increasing efficiency.
•Resilience During Disruptions: AI-enabled systems
allow quick adaptation to unexpected events, like
COVID-19.
1

6. 12 famous AI disasters
•McDonald’s ends AI experiment after drive-thru ordering blunders
•Grok AI falsely accuses NBA star of vandalism spree
•NYC AI chatbot encourages business owners to break the law
•Air Canada pays damages for chatbot lies
•Sports Illustratedmay have published AI-generated writers
•iTutor Group’s recruiting AI rejects applicants due to age
•ChatGPT hallucinates court cases
•AI algorithms identify everything but COVID-19
•Zillow wrote down millions, slashed workforce due to algorithmic
home-buying disaster
•Healthcare algorithm failed to flag Black patients
•Dataset trained Microsoft chatbot to spew racist tweets
•Amazon AI-enabled recruitment tool only recommended men
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7. -Automating Sterilization Processes:
Consistency & Predictive Maintenance
-Monitoring and Quality Control: Real-
time data analysis
-Data Management & Decision-Making:
Inventory & procedure optimization
-Training & Skill Development: AI-
powered simulations

8. -Increased Efficiency: Automation
of routine tasks
-Cost Reduction: Lowering errors
and optimizing resources
-Improved Safety: Enhanced
sterilization standards
-Scalability: From small clinics to
large hospitals

9. Threats and
Challenges of AI
Implementation
-Initial Costs: High technology
costs
-Lack of Expertise: Technical
training needs
-Ethical & Privacy Concerns: Data
security
-Technological Dependency:
Impact on decision-making skills

10. Future Outlook and Recommendations
Strategic
Implementation
: Gradual AI
introduction
Collaboration
with
International
Partners
Training &
Capacity
Building:
Educating local
staff
Ethical AI Use:
Guidelines for
responsible
usage

11. Conclusion
-SUMMARY OF AI'S ROLE: THREAT &
OPPORTUNITY
-CALL TO ACTION: INVEST IN LOCALIZED,
AFFORDABLE, AND ETHICAL AI
SOLUTIONS

12. All pictures made by AI

13. Q&A Section
Prepare for questions on AI technologies, ethics, and cost-benefit analysis.