Use Of Artificial Intelligence In Healthcare Delivery PowerPoint Presentation Slides

Use of Artificial
Intelligence in
Healthcare Delivery
Yo u r C o m p a n y N a m e

Agenda for Artificial Intelligence and Healthcare
2
The purpose is to determine AI usage in consumer healthcare sector. It will showcase industry and
market overview, trends
It will be useful for organizations in entering/at early stage AI assisted healthcare sector
as it provides information regarding market dynamics in terms of growth drivers,
restraints and opportunities prevailing in artificial intelligence and healthcare sector with
growth potential analysis
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Table of Content for AI and Healthcare
3
Healthcare Artificial Industry Synopsis
› Current AI Trends in Healthcare Industry
› Global AI Aided Healthcare Industry Overview
01 Healthcare AI Systems Regulatory
Landscape in US
04
AI Assisted Healthcare Industry Insights
› Global Artificial Intelligence in Healthcare Market Segmentation
• By Technology/Algorithm, End User and Geographical Region
• By Offering
› N.A. Artificial Intelligence in Healthcare Market Segmentation
• By Country
• By Application Sector Share (US)
• By Process (US)
› Competitive Landscape Overview for AI Aided Healthcare
02
Market Dynamics
› Growth Drivers
• How AI is Beneficial to End User in Healthcare
• How AI is Suitable in Handling Healthcare Administrative Tasks
• Possible Application of AI in Healthcare Value Chain
• Determining AI Assisted Healthcare Market Progress Capability
› Restraint
• Shortfall of Trained and Experienced Physicians in Coming Years
› Impact Analysis of Key Market Drivers and Challenges
› Opportunities
• Future Roles Requirement in AI Assisted Healthcare
• Future Opportunities in AI Powered Healthcare
03
Growth Potential Analysis
› SWOT Analysis for AI Assisted Healthcare
Organization
› PESTLE Analysis for AI Assisted Healthcare
Organization
› Porter’s Five Forces Analysis for AI Assisted
Healthcare Organization
05
Company Profile Analysis06

4
Landscape in US
04
• By Offering
• By Country
• By Process (US)
02
Market Dynamics
› Growth Drivers
› Restraint
› Opportunities
03
Organization
Organization
05

Current AI Trends in Healthcare Industry
5
This slide contains information regarding the current trends that are prevailing in healthcare industry in context to artificial intelligence. The present AI healthcare trends aims in improving overall patient and
medical practitioner relationship, reduce clinical services cost.
› AI allows data compilation and for clinical purpose- medical
research and review
› Detecting effective treatments based on patient’s relevant health
history data
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Data Driven Healthcare
› AI assisted imaging useful for detecting and screening vision
threatening eye diseases, serious heart and brain strokes, lesions
in lungs and liver
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Medical Diagnostic Imaging
› AI assisted high quality care to patients
› Electronic healthcare reports and smartphone apps offers at
home health solutions
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Patient Centric Approach
› AI assisted apps aiding patients to chat with doctors,
appointment booking
› Decreased medical errors
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Enhanced Healthcare Communication
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Global AI Aided Healthcare Industry Overview
6
This slide contains information regarding the AI healthcare industry overview at global scale. It contains details about how the industry is growing and which sectors performing well.
o f g r o w t h i s f r o m N O R T H A M E R I C A
Robot assisted surgery is estimated to
the value of 2 billion USD
Virtual nursing assistants are estimated to
the value of 1 billion USD
Rise in importance of big data in healthcare is
expected to fuel the market growth
50%
Global AI In Healthcare Market is Moderately
Concentrated with Less Number of Players Existing
Global AI in healthcare
market will be
accelerating at CAGR
over 40% $2.7bn
$11.5bn
2018 2023
Incremental
Growth
39%
The year- over- year growth rate
for 2020 is estimated at
This graph/chart is linked to excel, and changes automatically based on data. Just left click on it and select “Edit Data”.

7
Landscape in US
04
• By Offering
• By Country
• By Process (US)
02
Market Dynamics
› Growth Drivers
› Restraint
› Opportunities
03
Organization
Organization
05

Global Market Segmentation by Geographical Region end User and Technology/Algorithm
8
This slide determines the market segmentation at global level. The segmentation is done based on geographical region, end user and technology or algorithm used. End user can be biotechnology or
pharmaceutical firm while technology can be querying or deep learning method.
›North America accounts highest revenues in 2019 and is
expected to reach $XXXX Mn by 2023 with growing
CAGR of XX%
›Asia – Pacific region is considered as the fastest
growing segment with CAGR of XX%
Global Market by Geographical Region
15%
11%
26%18%
30%
Biotechnology Firm
Pharmaceutical Firm
Patient
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Healthcare Service Provider
Global Market
Share by End User
15%
22%
2018 2023
15%
12%
2018 2023
24%
31%
2018 2023
11%
14%
2018 2023
Global Market CAGR by Technology/ Algorithm
Querying
Method
Deep
Learning
Natural
Language Processing
Context
Aware Processing

$0
$5000
$10000
$15000
$20000
$25000
$30000
$35000
$40000
$45000
2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
Software Services Hardware
MarketShare(inUSDMM)
Year
Global Artificial Intelligence in Healthcare Market Segmentation – By Offering
9
This slide provide details about global market segmentation in terms of offerings such as hardware devices, software and services.
Offering 2019 2020 2021 2022 2023
Hardware 1.20 1.56 2.03 2.64 3.43
Software 1.40 1.82 2.37 3.08 4.00
Services 0.60 0.78 1.01 1.32 1.71
Total 3.20 4.16 5.41 7.03 9.14
Hardware sector emerged as biggest segment in terms
of application and was valued at USD 1.56 bn in 2020
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In USD Bn

N.A. Artificial Intelligence in Healthcare Market Segmentation – By Country
10
This slide provide information about North America AI aided market segmentation by country determining the growth rate of each region for five years.
Country 2019 2020 2021 2022 2023
CAGR %
(2019 – 2023)
U.S. 1.20 1.56 2.03 2.64 3.43 XX
Mexico 1.40 1.82 2.37 3.08 4.00 XX
Canada 0.60 0.78 1.01 1.32 1.71 XX
Add text here 3.20 4.16 5.41 7.03 9.14 XX
Total XX XX XX XX XX XX
In USD Bn
›US accounts highest revenues(in North America region) in 2019 and is expected to reach $XXXX Mn by 2023 with growing CAGR of XX%
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US Artificial Intelligence Healthcare Market – By Application Sector Share
11
This slide provide information about market segmentation based on application sector. AI aided healthcare market comprises of various applications such as medical diagnosis and imaging, virtual
assistance, drug discovery, etc.
Application Sector Market Share
Medical
Diagnosis and
Imaging , 25%
Virtual
assistance ,
17%
Drug discovery , 15%
Wearables ,
14%
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12%
Add text here ,
10%
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here , 7%
Medical Diagnosis and Imaging emerged as biggest segment in terms
of application and was valued at USD 1.2 bn in 2020
Unsuccessful diagnosis results in delay in providing drug to candidates
in the market
Annual value medical diagnosis and imaging is estimated to reach USD
8 billion by 2023
Virtual assistants leads in saving approx. 30% of time of nurse by
eliminating unnecessary visits
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US Artificial Intelligence in Healthcare Market Segmentation – By Process
12
This slide provide information about market segmentation based on process. AI aided healthcare market comprises of various processes such as signal recognition, image recognition and data mining, etc.
Process 2019 2020 2021 2022 2023
CAGR %
(2019-2023)
Signal Recognition 1.40 1.82 2.37 3.08 4.00 XX
Image Recognition XX XX XX XX XX XX
Data Mining 3.20 4.16 5.41 7.03 9.14 XX
Add text here XX XX XX XX XX XX
Total XX XX XX XX XX XX
›Data mining segment account for
highest revenue in 2020 and is expected
to dominate the market to reach $9.14
bn by 2023 with forecasted CAGR of
XX%
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In USD Bn

Competitive Landscape Overview for AI Aided Healthcare
13
Large number of players are existing in artificial intelligence healthcare market. The market appears to be fragmented.
Market Share
IBM Watson Health
NVIDIA Corp.
Google LLC
General Electric Co.
Microsoft Corp.
High competition in AI in healthcare as large number of players are functioning in
domestic as well as international market
In order to increase application of AI, many existing firms adopt strategies such as
product innovation, mergers and acquisition, etc.
Few of product innovations include virtual assistant, ECG compatible smartphones to
cater cardiac rhythms
34%
2%18%
15%
11%
IBM Watson Health NVIDIA Corp.
Google LLC General Electronic Co.
Microsoft Corp.
KeyPlayers

14
Landscape in US
04
• By Offering
• By Country
• By Process (US)
02
Market Dynamics
› Growth Drivers
› Restraint
› Opportunities
03
Organization
Organization
05

How AI is Beneficial to End User in Healthcare
15
This slide derives information regarding usage of AI to end user in healthcare. End users are segregated in patient, clinical teams, public health managers, business administrators and researchers with
application and technology used.
End User Category Application Technology Used
Patient
› Health tracking and monitoring
› Disease management and prevention
› Wearable devices
› Mental health support
› Machine learning
› Natural language processing
Clinical Team
› Early detection and diagnosis
› Surgical process
› Cancer detection at early stage
› AI aided surgical roadmap
› Robotics
Public Health Managers
› Determining population health
› Individual risk identification
› Detecting water bacteria
› Identifying individual with suicidal traits
› Geospatial pattern mining
› Deep learning
Business Administrators
› Cybersecurity
› Fraud detection
› Health information safeguard
› Billing fraud
› Hybrid machine learning
Healthcare Researchers
› Disease diagnosis
› Genomics
› Lung cancer prediction
› Tumor analysis
› Neural networks
› Integrated cognitive computing

How AI is Suitable in Handling Healthcare Administrative Tasks
16
This slide derives information regarding how AI is suitable in handling administrative tasks in healthcare such as managing frauds, preparing patient schedule, legal dispute handling.
Task Role of AI Data to Handle Result Value Addition
Fraud Management Fraud claims detection Claims data
Successful detection of targets for
investigation
Cost reduction with better care
Planning
Patient Schedule
Scheduling optimization with
patient no – shows detection
Electronic health record
(EHR) data
Improved physician schedule
› Fast patient appointments
› Better service delivery with enhanced
patient satisfaction
Legal Dispute Handling
Assessing when to make
payment to hospital -
admission or observation
Electronic health record
(EHR) data
Better compliance
Recommendations related to
judgments
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Possible Application of AI in Healthcare Value Chain
17
This slide depicts the utilization of artificial intelligence in healthcare value chain. The applicability of AI is possible in every function and area of healthcare.
Analytics
Product
Design
Sales
Member
Management &
Enrollment
Billing
Vendor
Management
Claims
Handling
Medical
Management
Customer
Service
Predictive analytics
to improve medical
decision making
Identifying
Risk
Market
Analysis
Patient
Portals
Enhanced
Billing
Vendor Data
Management
Complaints & Appeal
Handling
Handling
Disease
Customer assistance
automation through
voice recognition
Reporting
Analyzing
Market Trends
Channel
Management
Renewals
Prior
Authorization
Negotiating
Contracts
Claims
Payments
Developing
Treatment Plans
Customer Insights
Grievances
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Product
Rating
Handling
Broker
Setting
Up Account
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Vendor Network
Management
Referral Generation
Managing Population
Health
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Checking
Eligibility
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AI Applicability Index
High Medium Low

Determining AI Assisted Healthcare Market Progress Capability
18
This slide provides information about how AI aided healthcare market will progress in future in terms of its growth potential and market capturing ability.
Growth potential determines revenue opportunities in
specific segment
Market capturing ability determines new entrant potential in
seizing market share while considering the competition intensity
Medical diagnosis and imaging segment has significant
contribution in revenue share
Increased requirement of artificial intelligence in medical
diagnosis and imaging of chronic disease like cancer lead to
substantial growth this segment
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A
B
C
D
›Segment A – Medical Diagnosis and Imaging
›Segment B – Virtual Assistance
›Segment C – Drug Discovery
›Segment D – Wearables
GrowthPotential
High
Low
Low HighMarket Capturing Ability

Note – Rather than replacing medical practitioner, AI automation will enable workforce for optimum utilization of limited resource
›There will shortage of around 100,000 physicians in US by 2030
›Reasons for increase in physicians demand –
• Continuous increment and aging of population
• Handle repetitive administrative tasks such as patient scheduling and data maintenance
›More than 25 million people in US do not have access to medical specialty care
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Shortfall of Trained and Experienced Physicians in Coming Years
19
This slide provides information about how the restraints that are existing in current AI aided healthcare market in terms of deficit of experienced and trained physicians and practitioners. This shortfall will
hamper the growth potential of AI aided healthcare market in long run.
0
20000
40000
60000
80000
100000
120000
2015 2020 2025 2030
ForecastedPhysiciansShortage
Year
105,100
45,000
2030
Range

Market Drivers Short Term Medium Term Long Term
Big data analytics progressions
Rise in future applications
Increase adoption in research areas
Workload reduction with care quality improvement
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Impact Analysis of Key Market Drivers and Challenges
20
This slide provides information about impact of market drivers and challenges on short term, medium term and long term.
Market Challenges Short Term Medium Term Long Term
High capital investment requirement during
preliminary phase
Deployment issues
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High
Medium
Low
Progressions in virtual assistants and
medical research
Use of artificial intelligence in advanced
treatments in oncology sector
Use in genomics for customized precision
medicine to treat individual patients
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Increase adoption in research areas

Future Roles Requirement in AI Assisted Healthcare
21
With advancement in AI automation, some jobs that require human interaction will not be replaced and hence new jobs will be created in terms of trainers, explainers and sustainers.
Trainers
› Coaching AI systems
› Testing and evaluating AI
systems
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Explainers
› Human requirement to
explain complex AI
algorithms and how these
algorithms perform practical
decisions
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Sustainers
› Requirement of humans in
AI systems maintenance,
interpretation and monitoring
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Future Opportunities in AI Powered Healthcare
22
This slide provides information regarding various opportunities related to AI healthcare systems in future. The opportunities will make healthcare systems more predictive and proactive.
AI Assisted Predictive Care
›Healthcare can foresee chronic risk development in human by tracking social
health determinants
›Preventive measures suggestions
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Unified Healthcare Systems
›Single digital infrastructure linked to specialized treatment clinics, surgery
centers, retail clinics, etc.
›Centralized information centers for real time monitoring demand and supply
by analyzing clinical data
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Enhanced Staff & Patient Interaction
›AI assisted analytical healthcare systems will lead to shorter wait time,
enriched staff workflows, ultimately reducing administrative burden
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23
Landscape in US
04
• By Offering
• By Country
• By Process (US)
02
Market Dynamics
› Growth Drivers
› Restraint
› Opportunities
03
Organization
Organization
05

Healthcare AI Systems Regulatory Landscape in US
24
This slide provides information regarding different healthcare AI systems are assigned to various laws and regulations authorities. The healthcare services that use technology and artificial intelligence are
regulated in US on federal and state level.
AI Healthcare System Type Common Rule
Civil Rights
Authority
FDCA FDA Authority Z
Medical Research
Health And Wellness
Medical Treatment & Diagnosis
Clinical Management
Medical Data Management
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›FDA – Food and Drug Administration
›FDCA – Federal Food, Drug, and Cosmetic Art

25
Landscape in US
04
• By Offering
• By Country
• By Process (US)
02
Market Dynamics
› Growth Drivers
› Restraint
› Opportunities
03
Organization
Organization
05

SWOT Analysis for AI Assisted Healthcare Organization
26
This slide covers information regarding SWOT analysis which will allows organization in understanding it can improve performance, quality of care and reduce overall cost during entry stage. This slide will
provide information regarding awareness about success factors, pitfalls, barriers in adopting AI in healthcare.
Strengths
› Patient demographics
› Emerging market need
› Impactful and immediate outcomes
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S W
TO
Weaknesses
› Time to market
› High price
› Government influence
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Opportunities
› Untapped treatment areas
› Enabling AI technologies results in
lower costs and improved function
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Threats
› Cost of manufacturing and materials
› Recalls
› Complex business models
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INTERNAL
EXTERNAL
POSITIVE
NEGATIVE

PESTLE Analysis for AI Assisted Healthcare Organization
27
This slide covers information regarding PESTLE analysis which will be used by healthcare organization as a framework in analyzing trends and events that will affect firm operations and performance.
› Ever changing tax legislation and employee regulations
› Insurance mandates
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POLITICS
P
› Not well-defined business model for eHealth solutions
› Difficulty in accessing financial capital in growth phase
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ECONOMIC
E
› Absence of experienced healthcare professionals and engineers
› Knowledgeable and engaged patients
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SOCIAL
S
› Lack of Semantic inoperability expertise
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TECHNOLOGY
T
› Difficulty in accessing sensitive health data as the procedure is
costly
› Legal requirement for personal data protection
LEGAL
L
› Waste disposal program
› Rules and regulations to maintain clean environment
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ENVIRONMENT
E

Porter’s Five Forces Analysis for AI Assisted Healthcare Organization
28
This slide covers information regarding Porter’s five force analysis which will allows organization in understanding how five competitive forces determine firm’s profitability and enhance competitive
advantage.
Competitive
Rivalry
Threats From New Entrants
Capacity building and spending more on
research and development
Bargaining Power of Suppliers
Developing effective supply chain with
various suppliers
Bargaining Power of Buyers(customers)
Rapid new product innovation ad new
products reduce customer attrition
Threats From Substitutions Product
Unique value propositions to customer that
is entirely different from existing offering
Competitive Rivalry
Creating sustainable differentiation
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Landscape in US
04
• By Offering
• By Country
• By Process (US)
02
Market Dynamics
› Growth Drivers
› Restraint
› Opportunities
03
Organization
Organization
05

Company Profile Analysis - Nvidia Corp.
30
The purpose of this slide is to provide glimpse about the company profile of major player in the industry with its financial performance, product offering, latest news etc.
19%
8%
36%
37%
High Growth
Foundational Markets
International Lead Markets
U.S
Revenue Split (in 2020)Financial Highlights
27.4
25.4 24.6
22.8
21.0
4.8 4.5 4.7 5.2 5.9
0.0
5.0
10.0
15.0
20.0
25.0
30.0
2016 2017 2018 2019 2020
Total Revenue (In Bn $) Net Income (in Bn $)
Business Description – Second-largest fast food restaurant chain by number of outlets in the world
Founded year – 1940
Headquarter – Chicago, United States
Website –www.mcdonalds.com
Key Management
› Jensen Huang, President and CEO
› XYZ, CMO
› DEF, CFO
Customers/ Partners
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Products
› Graphic Processing Products
› Chip Series for mobile devices
› Multi display business graphic solution
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Recent News
› Nvidia Corp. is working on detecting
tuberculosis from X- Rays
› Nvidia Corp. introduced AI models for patient
data analysis
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Use of Artificial Intelligence in Healthcare Delivery Icons Slide
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30 60 90 Days Plan
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30Days 60Days 90Days
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Weekly Timeline with Task Name
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Roadmap for Process Flow
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Our Mission
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Vision
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Our Awesome Team
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Designation
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About Us
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Target Audiences
Premium Services
Value Clients

Stacked Bar
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Product 01
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Column Chart
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Our Goal
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