AI for Improved Patient Outcomes

Artificial Intelligence for Improved Patient Outcomes equips you with the essential skills to build and evaluate AI and predictive modeling tools in medicine. Improve your patient’s outcomes by emphasizing practical implementation and rigorous evaluation to address unique challenges in healthcare. Demystify the limits of AI’s potential to benefit patients and gain actionable insights to overcome these challenges.

This course is led by Lifelong Learning Instructor Daniel Byrne, who brings 40 years of experience in developing, implementing, and evaluating AI and predictive models in a healthcare setting. In completing this course, you will elevate your skillset and transform your patients’ lives when you return to work equipped with the essential skills to implement AI in healthcare.

Course Date	December 4, 2024
Duration	9:00am–4:30pm
Location	Johns Hopkins University Homewood Campus Stieff Silver Building, 800 Wyman Park Drive, Suite 110, Baltimore, MD 21211
Format	In-Person
JHU Continuing Education Units (CEUs)	1.0
Investment	$1,250

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Why choose this course?

AI for Improved Patient Outcomes is an interactive, in-person course that offers unparalleled networking opportunities and equips experienced healthcare professionals with the tools to responsibly and effectively incorporate AI in their practice. Throughout this intensive 1-day workshop, learners will be empowered to make informed, strategic decisions that enhance patient care and operational excellence, while staying ahead in a technology-driven industry.

Learners will gain specific skills related to AI in healthcare to build and validate a robust model, integrate it into a healthcare workflow, and evaluate it in a rigorous pragmatic randomized controlled trial. Investment in the course includes copies of the award-winning instructor’s books: Publishing Your Medical Research and Artificial Intelligence for Improved Patient Outcomes.

Payment Options

Tuition Remission

Full-time, benefits-eligible Johns Hopkins University faculty or staff members are eligible to receive tuition remission if:

you are a full-time, benefits-eligible faculty or staff member who has been employed by JHU for at least 120 days
you continue in a full-time position while enrolled in courses.

You receive 100% remission if:

your department certifies that the course benefits your professional development
your department is willing to assume the cost if you do not attend the course or if you cancel with less than one week’s notice. The one-week cancellation notice is waived only for emergencies with written documentation.

ELIGIBILITY: Full-time Johns Hopkins University faculty and staff qualify for Tuition Remission after the employee completes 120 days of full-time employment at the university. Please visit the Benefits website at https://hr.jhu.edu/benefits-worklife/tuition-assistance/ for information and requirements.

Visiting Faculty and Staff, Residents, Interns, Postdoctoral Fellows, Retirees, and Dependents are not eligible for Tuition Remission.

There is an annual limit of 2 classes per calendar year for noncredit professional development courses taken at JHU. For more information on this policy, please refer to the HR website.

You will receive a link to the tuition remission form via email to start the process of gaining tuition remission.

Key Takeaways

Gain practical skills and a competitive edge to advance your career.
Distinguish between AI hype and rigorous science.
Overcome AI implementation challenges in medicine with a realistic blueprint.
Learn to design a pragmatic randomized controlled trial to conduct rigorous testing of AI in a healthcare setting.
Investigate case studies that illustrate both obstacles and solutions to AI integration in healthcare.
Leave with a step-by-step action plan tailored to your organization’s needs.

Course Topics

AI Tool Usage in Healthcare
Generative AI in Medical Decision Making
Practical Applications of AI in Healthcare
Responsible AI Usage in Healthcare
Common Causes of Flawed Evaluations
AI’s potential to Benefit Patients
Best Practices to Identify and Recruit Talent

Who Should Take This Course

Our course is designed for healthcare professionals, equipping them with the essential knowledge and skills to confidently navigate AI technologies in patient care. Specifically, this course will help:

Physician-scientists eager to build and test AI tools.
Healthcare executives and administrators evaluating AI vendors.
Biomedical informatics professionals.
Biostatisticians interested in AI.
Nursing leaders and researchers.
Entrepreneurs in the AI healthcare space.
Chief Medical Informatics Officers.

Faculty

Daniel Byrne, MS (Instructor)

Daniel Byrne, with more than 40 years of AI development and testing experience across various medical domains, brings unparalleled expertise to this course. As the former director of artificial intelligence research at Vanderbilt University, he has mentored hundreds of physician-scientists and earned numerous teaching awards. His extensive background in pragmatic randomized controlled trials and biostatistics ensures a rigorous and practical learning experience. For the past 25 years, he was a faculty member in the Department of Biostatistics at Vanderbilt.

Byrne holds a bachelor’s degree in biology and computer science from the State University of New York at Albany and a master’s degree in biostatistics from New York Medical College. He is the author of more than 160 scientific papers and two books: Publishing Your Medical Research and Artificial Intelligence for Improved Patient Outcomes – Principles for Moving Forward with Rigorous Science.

Course Details

Duration

1-Day Workshop

Location

Stieff Silver Building
800 Wyman Park Drive
Suite 110
Baltimore, MD 21211

Date

Tuesday, December 4
9:00am–4:30pm

Investment

$1,250 / person

Workshop Registration

Please complete the registration form below to enroll in this workshop. After you register, you will receive a confirmation email with details about the workshop. If you have questions before registration, please reach out to us. The cost for the workshop can be paid via Credit or Invoice.

LL Course Registration Form

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WSE alumni receive a 15% discount on all our Lifelong Learning programs.

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What skills or insights do you hope to gain from this workshop? (optional)

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You have entered a JH-affiliated email address, which may qualify you for a JH benefit.

Do you have any dietary restrictions or need an accessibility accommodation?

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Investment

Johns Hopkins Medicine, Johns Hopkins Health Systems, and Johns Hopkins Applied Physics Lab employees receive a 20 percent tuition scholarship on all programs. Please enter your JHEDID.

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After you submit your registration, someone from our team will reach out to work with you on payment. In the meantime, please reach out to Kandice with questions at [email protected].

Tuition Remission

Full-time, benefits-eligible Johns Hopkins University faculty or staff members are eligible to receive tuition remission if:

you are a full-time, benefits-eligible faculty or staff member who has been employed by JHU for at least 120 days
you continue in a full-time position while enrolled in courses.

You receive 100% remission if:

your department certifies that the course benefits your professional development
your department is willing to assume the cost if you do not attend the course or if you cancel with less than one week’s notice. The one-week cancellation notice is waived only for emergencies with written documentation.

ELIGIBILITY: Full-time Johns Hopkins University faculty and staff qualify for Tuition Remission after the employee completes 120 days of full-time employment at the university. Please visit the Benefits website at https://hr.jhu.edu/benefits-worklife/tuition-assistance/ for information and requirements.

Visiting Faculty and Staff, Residents, Interns, Postdoctoral Fellows, Retirees, and Dependents are not eligible for Tuition Remission.

There is an annual limit of 2 classes per calendar year for noncredit professional development courses taken at JHU. For more information on this policy, please refer to the HR website.

You will receive a link to the tuition remission form via email to start the process of gaining tuition remission.

Hopkins JHEDID

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