Strategic Design and Implementation of Robust and Responsible AI for Healthcare

4 weeks

·

Cohort-based Course

Learn to design, conduct and implement robust clinical trials for healthcare AI tools

Previously at

Science 37
UCB News
Northwestern
AbbVie Inc.
PPD

Course overview

Master the complexity of evidence generation for healthcare AI tools

This course is for leaders and aspiring leaders who want to effectively gather the evidence needed for safe and effective healthcare AI tools.


This course offers best frameworks and practices to make sure you’re on track for building healthcare AI tools without spinning wheels or wasting resources. 


This course covers:

-An Introduction to AI Applications in Healthcare

-Designing Clinical Trials for AI Tools in Healthcare

-Phased Training, Testing, and Validation

-Interpretability, Transparency, and Ethical Considerations

-Course Conclusion and Resources

Who is this course for

01

For executives and enterprise leaders seeking to develop safe and effective AI tools

02

For clinical operations professionals in the life sciences looking to get started in digital transformation

03

While we'll touch of technical topics, this course is not for AI engineers or computer scientists

What you’ll get out of this course

Understand the Unique Challenges and Requirements of Clinical Trials for AI Tools in Healthcare

Equip learners with a comprehensive understanding of clinical trials to develop AI tools differ from traditional trials for medical devices and pharmaceuticals. This includes insights into the complexities of AI technology, such as data variability and algorithm adaptability.

Develop Skills to Design and Implement Effective Clinical Trials for AI Tools in Healthcare

Provide learners with the knowledge and tools to design robust clinical trial protocols specifically for AI applications in healthcare. This encompasses selecting appropriate outcome measures, managing data integrity, and implementing phased testing and validation strategies.

Navigate Ethical, and Collaborative Aspects of Clinical Trials for AI Tools in Healthcare

Educate learners on the ethical considerations, regulatory compliance considerations, and the importance of multidisciplinary collaboration in the development and execution of clinical trials for AI tools for successful adoption in real life settings.

Describe a key outcome or topic covered in your course

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What’s included

Emily Lewis

Live sessions

Learn directly from Emily Lewis in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

Week 1

Sep 16—Sep 22

    Module 1: Introduction to AI Applications in Healthcare

    1 item

Week 2

Sep 23—Sep 29

    Module 2: Designing Evidence Generation Strategies for AI Tools

    1 item

Week 3

Sep 30—Oct 6

    Oct

    1

    Optional: Office Hours

    Tue 10/14:00 PM—4:30 PM (UTC)
    Optional

    Module 3: Phased Training/Testing/Validation and Post-Market Surveillance

    1 item

Week 4

Oct 7—Oct 13

    Module 4: Interpretability, Transparency, and Ethical Considerations

    1 item

Week 5

Oct 14

    Module 5: Course Conclusion and Resources

    1 item

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Meet your instructor

Emily Lewis

Emily Lewis

Emily Lewis is a trailblazing innovator and leader in the realm of digital health and AI. With nearly two decades of experience, she has made significant contributions to the development and adoption of cutting-edge digital health solutions. Her passion for using technology to improve patient outcomes and advance healthcare has earned her recognition as one of Fierce Healthcare’s Rising Stars in HealthTech.


Education and Early Career:

Emily’s journey in digital health began with her academic pursuits. She graduated with a Bachelor’s degree in Health Promotion from Appalachian State University and went on to earn a graduate certificate in Field Epidemiology from the University of North Carolina at Chapel Hill and a Master’s degree in Clinical Research and Regulatory Administration from Northwestern University. Her strong foundation in public health enabled her to blend technology and healthcare effectively.


Following her education, Emily gained valuable experience working in various clinical research settings, including academia, CROs, pharma, and start-ups. These experiences allowed her to develop a deep understanding of the healthcare landscape and the potential for digital health solutions to revolutionize patient care.


Cultivating relationships with key decision makers and industry leaders, Emily is an active participant and advocate in many initiatives that strive to increase the adoption of health IT, interoperability, access to health data, and patient engagement. In collaboration with other thought leaders, Emily has been instrumental in identifying ways to increase the adoption of digital tools which can improve patient care and reduce healthcare waste and decrease expenditure. 


As a thought leader, Emily has over 18k followers on LinkedIn and thrives on being a part of the most cutting edge conversations shaping the future of healthcare. She desires to break down silos and create a social movement to initiate meaningful, sustainable, systemic change for collective impact. Emily enjoys listening and learning from others in the field and believes that, together, we can achieve a future where the healthcare system works for everyone. 


Areas of Interest:

  1. Artificial intelligence, Large Language Models (LLMs), Natural Language Processing (NLP)
  2. Web3, blockchain, tokenomics, internet of value, internet of things
  3. Novel digital biomarkers and digital measurement
  4. Wearables, invisibles (radar), Robotics, drones, 3D printing
  5. Augmented reality, virtual reality, mixed reality
  6. Decentralized Science (DeSci), Edge and quantum computing


Areas of Influence and Notable Achievements:

Throughout her career, Emily has been instrumental in numerous groundbreaking projects, demonstrating her influence and impact on the digital health sector:

  1. Decentralized Trials: Emily spearheaded the design and implementation of telemedicine in clinical research two years prior to the COVID-19 pandemic.
  2. Artificial Intelligence in Healthcare: Emily has been a strong advocate for the use of artificial intelligence (AI) in healthcare. She has played a crucial role in developing AI-driven tools for empowering patients to take control of their disease, communicate better with their clinicians, and ultimately achieve better outcomes. Emily has driven the field of clinical decision support and care coordination in developing novel digital biomarkers and building software as a medical device (SaMD) tools within neurodegenerative diseases.
  3. Remote Patient Monitoring: Emily recognized the potential of wearable devices for remote patient monitoring and was integral in deploying a Virtual Motor Exam (VME) in Parkinson’s Disease patients within clinical development where patients completed active tasks within the comfort of their own home. PD patients used their smartwatch for both passive monitoring of vitals and steps as well as active tasks in lieu of a formal motor exam conducted by a neurologist. This seminal work, and its controversial regulatory interactions with a rejected Letter of Intent, has been cited ad nauseam in modern digital health circles.
  4. Advocacy in Public Policy: Emily is a proponent of digital health policies that promote innovation, accessibility, and patient privacy. She has worked closely with regulatory bodies and industry leaders to create a conducive environment for digital health advancements to thrive.


Philanthropy and Mentorship:

Emily is a firm believer in giving back to the digital health community. She works closely with the Digital Medicine Society, a 501c3 dedicated to the advancement of the safe, effective, ethical, and equitable use of digital technologies to improve lives through research, education, and community building. She serves as a Fellow at Healthcare Innovation and Technology Lab (HITLAB), judging challenges, speaking at summits, and mentoring junior professionals through their early careers in digital health. She is passionate about inspiring the next generation of female leaders and constantly looking for ways to highlight the achievements of women innovators, particularly within FemTech.


Supporting many strategic initiatives in change management and digital transformation, Emily has demonstrated a commitment to harnessing the power of emerging technology to positively transform health and healthcare. Her leadership and impact on the industry, advocacy for inclusive policies, and commitment to mentorship demonstrate her leadership and dedication to advancing digital health.


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Strategic Design and Implementation of Robust and Responsible AI for Healthcare

Course schedule

0.5-1 hour per week

  • Self-paced weekly modules

    5 weeks


Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

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Strategic Design and Implementation of Robust and Responsible AI for Healthcare