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AI IN HEALTHCARE
PROGRAM
10 WEEKS | ONLINE | LIVE MASTERCLASSES BY JHU FACULTY |
LIVE MENTORED LEARNING SESSIONS BY INDUSTRY EXPERTS |
NO PRIOR PROGRAMMING EXPERIENCE REQUIRED

AI IN HEALTHCARE -
ENHANCING EFFICIENCY
AND PATIENT OUTCOMES
AI has the potential to become a critical
component of modern medical practice.
With the strategic application of AI, patient
care and hospital operations can be
upgraded by enhancing diagnostics,
enabling precision medicine, and
streamlining workflows. AI can also help
healthcare institutions improve clinical
decision-making, reduce inefficiencies, and
drive better outcomes.
According to Grand View Research, the
global AI in healthcare market is projected
to grow at a Compound Annual Growth Rate
(CAGR) of 38.5% by 2030. While AI adoption
is on the rise, a significant skills gap
remains. A PricewaterhouseCoopers report
states that 65% of healthcare executives
struggle to find professionals trained in AI
technologies. This presents both a
challenge and an opportunity for those
looking to advance their careers in an
AI-powered healthcare system.
AI can also help hospitals operate more
efficiently by cutting surgical costs and
reducing the time doctors spend on
paperwork, allowing them to focus more on
patient care. With AI becoming a key part of
healthcare, professionals need to develop
the specialized expertise to keep up with
industry changes. Johns Hopkins
University’s AI in Healthcare Program helps
healthcare professionals gain the necessary
skills and prepare for new career
opportunities in this fast-growing field.
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ABOUT THE PROGRAM
The AI in Healthcare Program, offered by Johns Hopkins University, is a 10-week online program
designed to empower healthcare professionals with the skills to apply AI in solving real-world
challenges. From exploring how intelligent decision support systems are developed to understanding
practical AI use cases across healthcare, this program offers a robust curriculum aligned with the
industry's pressing needs.
No programming experience is required for this program. Participants will begin by gaining
foundational knowledge of AI and machine learning technologies, learning how they can be applied
to healthcare. The program then delves into three key focus areas:
Intelligent Decision Support: This module explores the application of AI in
predicting disease likelihood, identifying and mitigating biases in clinical data sets,
and assessing Large Language Models (LLMs) for medical assistance.
AI for Population Health and Disease Management: This module evaluates how AI and
predictive modeling intersect with social determinants of health to enhance early
disease detection, and refine personalized treatment approaches.
AI Business Strategy for Healthcare: This module explores the strategic
integration of AI in healthcare business models, focusing on how AI can drive
efficiency, scalability, and sustainability in healthcare delivery.
The program concludes with live masterclasses conducted by Johns Hopkins University faculty on:
AI Project Management and Design: Participants will gain valuable skills in managing and designing AI
projects, equipping them with the tools to successfully execute AI initiatives in the healthcare sector.
Future Trends in AI and Healthcare: Participants will stay ahead of emerging developments and gain
a deeper understanding of how AI can shape the future of healthcare, positioning themselves as
leaders in this transformative field.
AI-Powered Pre-Visit Clinical Risk Assessment using n8n: Participants will explore how AI can
streamline pre-visit clinical workflows by organizing unstructured patient data, identifying early risk
patterns, and improving clinical efficiency.
These masterclasses, combined with the business strategy focus, ensure that participants are
prepared to lead innovation in AI-driven healthcare.
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