Artificial Intelligence

1.

Artificial Intelligence
Artificial Intelligence helps people by using
machines to think and act like humans, making
tasks easier.

2.

UNLEASHING AI'S
TRANSFORMATIVE POTENTIAL IN
HEALTHCARE

3.

AI Diagnostics: Precision at Scale
Aspect
Traditional Diagnostics
AI Diagnostics
Speed
Manual analysis can take hours to
days
Real-time to minutes for image/data
processing
Accuracy
Subject to human error; variable by
expertise
High and consistent; improves with
data volume
Scalability
Limited by human resources and
infrastructure
Highly scalable with cloud computing
Cost
Higher per test due to labor and time
Lower per test after initial AI
deployment
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4.

Personalized Care: AI Tailors
Treatments
Personalized Care
Component
AI Contribution
Patient Benefit
Genomic Analysis
Analyzes DNA/RNA to identify
mutations & effective treatments
Targeted therapies with reduced side
effects
Predictive Modeling
Forecasts disease progression &
treatment response using patient data
Proactive interventions & optimized
timing
Treatment Optimization
Recommends tailored drug
combinations & dosages
Higher efficacy & minimized adverse
reactions
Dynamic Adjustment
Continuously refines therapy based
on real-time patient data
Personalized care pathways
improving long-term outcomes
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5.

Boosting Efficiency: AI's Operational
Impact
Healthcare Process
Traditional Approach
AI-Enhanced
Approach
Efficiency Impact
Medical Imaging Analysis
Manual review by
radiologists (minutes/hours
per scan)
AI algorithms detect
anomalies rapidly
Reduces analysis time by
50-70%, prioritizes urgent
cases
Prior Authorization
Manual form processing;
prone to errors and delays
NLP automates document
review & decision support
Cuts processing time by
60-80%; reduces
administrative burden
Patient Triage &
Scheduling
Staff-managed calls/walkins; manual urgency
assessment
AI chatbots & predictive
algorithms route patients
Decreases ER wait times
by 30%; optimizes resource
allocation
Drug Discovery &
Development
Lengthy lab experiments &
clinical trial phases
AI models predict drug
efficacy & simulate trials
Accelerates R&D timelines
by 2-4 years; lowers costs
Chronic Disease
Management
Reactive care; infrequent
patient monitoring
AI-powered remote
monitoring & personalized
alerts
Reduces preventable
hospitalizations by up to
20%
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6.

Healthcare Transformed: What's
Next?
AI Capability
Healthcare Application
Transformative Impact
Predictive Analytics
Identifying high-risk patients &
disease outbreaks early
Proactive interventions, resource
optimization, reduced hospitalizations
Medical Imaging Analysis
Automated detection of anomalies in
X-rays, MRIs, CT scans
Enhanced diagnostic accuracy &
speed, reduced radiologist workload
Drug Discovery & Development
Accelerating target identification &
compound screening
Significantly reduced R&D timelines &
costs, novel therapies
Personalized Medicine
Tailoring treatment plans based on
genomics & patient data
Improved treatment efficacy, reduced
adverse effects
Virtual Health Assistants
24/7 symptom checking, patient
triage, chronic disease coaching
Increased patient access,
engagement, & continuous support
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