Master patient data—and lead your team into the future.
So is the patient experience. And the teams who recognize both will shape the future of healthcare.
Evolving Patient Experience
The nature of the patient experience is rapidly changing—people are navigating care in new ways, turning to compounded GLP-1s, and leveraging AI tools to self-navigate complex care decisions. What we thought we knew about patient behavior is shifting fast.
Advancing Patient Insights
At the same time, the landscape around insights is being rewritten. Regulators are demanding more transparency. Stakeholders expect more rigorous, real-world evidence. Patients are tired of being asked the same surface-level questions again and again. AI is magnifying both the power and the pitfalls of your insights—depending on if your data is fit for purpose.
If your patient insights are based on outdated methods, limited samples, or data not designed for AI use, you’re working with flawed inputs.
By the end of this course, you’ll look at patient insights completely differently—and you’ll be equipped with tools and strategies to make yourself indispensable in the process.
All designed to fit into your schedule—and elevate your approach. Yes, it’s all 100% free.
We’ve spent nearly a decade embedded in patient communities and advising the world’s leading pharma and health tech teams.
What we keep hearing over and over is this:
And quietly:
Jen Horonjeff, PhD, isn’t just teaching this Masterclass—she helped write the playbook for modern patient engagement.
She holds a PhD in Environmental Medicine with a specialty in human factors and patient-centered outcomes. Over the past two decades, she’s developed patient-reported outcome measures used in clinical trials, served on advisory committees for the FDA, and advised organizations across the healthcare spectrum—from patient advocacy groups and policy nonprofits to pharma giants, clinical trial vendors, and digital health startups.
Jen’s not just an academic—she’s a builder. As the founder and CEO of Savvy Cooperative, the first patient-owned insights company, she’s helped Fortune 500s, early-stage startups, and government agencies turn patient input into real-world innovation.
She currently advises the Coalition for Health AI (CHAI), where she champions ethical, transparent use of patient data in machine learning—something you’ll hear a lot more about in this course.
Her superpower? Turning complex ideas into actionable strategies. And in this 10-week experience, she’ll teach you what most teams overlook when it comes to engaging patients, generating meaningful data, and staying relevant in a rapidly changing landscape.
We’re covering three essential pillars that every forward-looking healthcare team needs:
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This masterclass is for you if you work in or alongside:
Whether you’re shaping protocols, building engagement strategies, or training AI models—you need real, representative, and responsible insights. We’ll show you how to get them.
Because the pressure is mounting:
If you want to stay ahead—and make your role indispensable—you need to rethink how you gather and apply patient insights.
This Masterclass is your competitive edge.
We’re real patients—at Savvy, this work is personal. We created this to help teams adapt, stretch their budgets, and stay ahead of what’s next. Because the future of healthcare depends on how well we understand the patients it’s meant to serve.
Smart companies are investing in insight literacy, community fluency, and AI-readiness. If you’re not, you risk being left behind.
This Masterclass isn’t just about learning—it’s about staying relevant.
Is this really free?
Yes. No sales pitch. No fluff. Just content that’s designed to make you better at what you do.
What if I can’t attend live?
You’ll get all emails and recordings. Show up when you can. Learn at your own pace.
Do I need to be in a patient-facing role to benefit?
Not at all. This is for anyone who influences products, strategy, research, or policy that touches real people.
Will this help me understand how to use AI in my work?
Yes—and more importantly, it will show you how to prepare your data so that AI can be used ethically and effectively. Most people are skipping this step. Don’t be one of them.