In the healthcare sector, numerous challenges arise, such as staff shortages, clinician burnout, declining profits, and worsening health outcomes, particularly in underserved regions. It has become imperative to adopt new technologies while upholding healthcare standards. Generative AI holds promise in tackling these challenges by democratizing knowledge, enhancing interoperability, expediting discoveries, and facilitating genuine personalization for healthcare providers. Read this presentation to know more about Generative AI in Healthcare.

1. Generative AI in
Healthcare
LET THE BUSINESS FLOW

2. © 2023 AutomationEdge. All rights reserved. Value Led Hyperautomation
Shifting Healthcare Market Landscape
In the healthcare sector, numerous
challenges arise, such as staff shortages,
clinician burnout, declining profits, and
worsening health outcomes, particularly in
underserved regions. It has become
imperative to adopt new technologies while
upholding healthcare standards. Generative
AI holds promise in tackling these challenges
by democratizing knowledge, enhancing
interoperability, expediting discoveries, and
facilitating genuine personalization for
healthcare providers.

3. © 2023 AutomationEdge. All rights reserved. Value Led Hyperautomation
Challenges for Healthcare Provider
Amidst the complexities of today's
healthcare landscape, the system grapples
with interconnected crises in operations,
talent management, finances, and value
delivery, presenting a critical dilemma.
Despite ongoing efforts to tackle these issues
incrementally, healthcare providers have
struggled to achieve substantial
advancements in delivering equitable, top-
tier healthcare services. A novel perspective
is needed to confront these challenges
effectively.
As per a recent survey, workforce
challenges are the top concern for
healthcare providers.
Around 81% of healthcare providers
reporting high or moderate levels of
burnout.

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Generative AI Outlook Across Healthcare Landscape
75%
82%
92%
65%
of leading health care companies are
already experimenting with Generative Al
or attempting to scale across the enterprise
75%
currently have or plan to implement
governance and oversight structure for
Generative Al
82%
of leaders overwhelmingly see promise for
Generative Al to improve efficiencies
92%
of leaders see promise to enable quicker
decision-making
65%

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Generative AI in Healthcare Market Size
GLOBAL STATISTICS
SEGMENT VALUATION
Market value (2023)
1.8 BN
CACR (2024-2032)
32.6%
Market value (2032)
$22.1 BN
Medical image analysis
and diagnostics segment
Market Size (2023)
$612.7 MN
Healthcare providers
segment
Market Size (2032)
$11.8 BN
In 2023, North America
secured a substantial market share
in the global generative AI in
healthcare market and is expected
to dominate throughout the
forecast period.
Source: Global Market Insights

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Generative AI Use Cases for Healthcare Industry
Generative AI aligns well with the
functional needs in healthcare that
traditional AI and ML models may
overlook. In specific areas, Generative
AI in healthcare has the potential to
replace tasks and roles related to data
entry, classification, and generation
while also augmenting functions that
demand empathy, innovation, and
complex decision-making. Some of the
potential Generative AI use cases in
healthcare are-
1. EHR
Management
2. Patient
Scheduling
3. Claims Denial
Management
4. Medical
Scribe
5. Personalized
Patient Experience

7. © 2023 AutomationEdge. All rights reserved. Value Led Hyperautomation
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