AI is reshaping personalized healthcare

Why AI-Driven Personalization Matters in Healthcare—Now More Than Ever

Artificial Intelligence isn’t a distant promise for healthcare—it’s reshaping competitive strategy, patient engagement, and system operations in real time. U.S. health systems and startups are racing to deploy AI, not only to improve outcomes but to deliver truly personalized care. But is AI just another buzzword, or will it fundamentally change how we design care models and drive value?

That’s the question tackled in this week’s podcast with Christine Galligan, Director, Strategy & Insights at Fractional. Christine’s journey—from hospital admin to startup advisor to AI strategy consultant—offers a unique window into both the promise and pitfalls of AI-driven healthcare. Her candor and practical wisdom are essential for leaders who want to translate AI hype into meaningful, sustainable impact.

From Biology to AI Strategy: Christine Galligan’s Nonlinear Path

How does someone become a thought leader in healthcare AI strategy?
For Christine Galligan, the answer is experimentation and action—not a rigid plan. She began as a pre-med student at Clemson, but, as she puts it, “The first couple of tests in chemistry and biology indicated that might not be the best path.” Pivoting to public health, Christine immediately sought hands-on research, knocking on professors’ doors and landing a spot on a pioneering wearable biofeedback study for Alzheimer’s patients and caregivers.

“I got to partner with my professor for three and a half years… developing the IRB, the protocol, the interventions, and actually collecting and analyzing data using one of the first wearables in the market.” That early immersion in both research and real clinical settings gave Christine an unusually practical foundation.

Through hospital internships, clinical trials, and an administrative fellowship at VCU, she developed a deep operational understanding, but it was her curiosity and drive for impact that led her to innovation:
“I viewed each of these roles as independent research and the research or the problem statement was: What should Christine’s career be?” Her story shows how curiosity and adaptability can open doors far beyond traditional career paths.

Why Hospital Administration Still Matters in the Age of AI

What lessons did Christine take from her time in hospital administration?
Christine is clear: “The experience I got understanding hospital leadership is very crucial to what happens next in my journey.” Observing hospital executives taught her how investment decisions are made and what truly moves the needle in patient care.

For leaders and future innovators:

• Know how capital and technology investments are justified and implemented.

• See firsthand how operational realities shape strategy.

• Recognize the difference between innovation for its own sake and solving real problems.

But Christine felt something was missing. “I was really craving that opportunity to actually develop solutions or bring in innovation, and I wasn’t getting that opportunity within the hospital walls.” This realization pushed her to the startup world, where creativity and agility rule.

Making the Leap: From Hospitals to Startups and Tech Innovation

How did Galligan break into the healthtech startup ecosystem?
After her hospital fellowship, Christine moved to Boston and joined Philips’ global startup accelerator. “We had pitch nights, investor networking nights, flew startups to hospital systems… The goal was to de-risk these solutions for Philips to potentially work with them or partner with them in some way.”

Transitioning from an executive-adjacent role to a supporting one wasn’t easy. “You’re not playing in the leagues anymore. You’ve got to cut your teeth and prove your worth,” she recalls. But Christine saw every job as a new research project—testing not just solutions, but her own strengths and interests.

Lessons for would-be innovators:

• Your hospital experience is invaluable to startups trying to navigate regulation and workflow.

• Curiosity trumps having a ‘master plan.’ Christine says, “I didn’t have a master plan—I was doing things that had the most impact, that I wanted to do, and that’s why I went into startups: I wanted to innovate and create big impact.”

• Expect non-linear progression. Career leaps require humility and an appetite for the unknown.

Freelance Consulting and the Future of Digital Health Careers

How do you build a career at the intersection of AI, strategy, and healthcare?
Christine’s story is one of intentional skill-building and risk-taking. At CVS, she helped design omnichannel experiences that blend digital and in-person care—“positioning ourselves to age gracefully in our homes using technology—that has been the North Star.” In her freelance work, she’s consulted for over 30 startups, focusing on strategic planning, digital transformation, and business model innovation.

Her candid take on consulting: “There are tradeoffs… it is a high-risk environment, but being able to craft your lifestyle, workload, and focus areas makes it worth it for me.” For those with a high tolerance for uncertainty and a hunger for new challenges, freelance strategy and innovation work offers both autonomy and accelerated growth.

AI in Healthcare: From Hype to Real-World Barriers

Is AI living up to its promise in healthcare?
Christine’s view: AI is everywhere, but actual impact lags the headlines.
“Integration and interoperability is not a new challenge… we need to get the data structured in a way where you can then use it to train a model. Currently, that is not how things are structured.”

Roadblocks include:

• Fragmented data and interoperability issues

• Entrenched interests that benefit from data silos

• Cognitive distortions:

  • “Humans are lazy, we take mental shortcuts, and these are typically biased… the shiny object syndrome is like all the venture capital right now.”

  • “If you put ‘AI’ on a napkin and you’re at a coffee shop with an investor… you’re going to get funding.”

She highlights the risks of action bias and uninformed optimism: “We tend to stick to past behaviors even if they’re not working… a lot of these folks that are putting their stake in the ground for AI—they’re not going to backtrack on that. They’re going to try and figure out how to make it work.”

Trust, Bias, and the Rise of Responsible AI Networks

How do we build trustworthy, safe AI in healthcare?
Christine spotlights the Trustworthy and Responsible AI Network (TRAIN), a new consortium “making safe and fair AI accessible to every healthcare organization.” Yet the challenges are significant:

• Bias in foundational models: “There’s general racial and gender bias in the base models right now… if you start using those to build, it’s going to overfit everything you train it on.”

• Transparency and consent issues: Health data can’t simply be open-sourced for review, making oversight tough.

• Accountability gaps: “If something goes wrong, does the doctor get in trouble or does the software developer?” Regulatory frameworks are lagging behind.

Galligan’s position is uncompromising:
“It will always be human-designed first… you’re stepping back and saying, ‘What are the unmet needs or jobs to be done here?’ AI is just like Excel—it’s one tool, not a magic fix.”

Upskilling for AI and Digital Health: A Guide for Healthcare Leaders

What can executives and operators do to get ahead of the curve?
Christine’s advice is practical:
“There are a lot of courses coming out now… to get upskilled in understanding the lay of the land and technology. Substack is becoming one of my go-to sources—there are AI experts writing specifically about healthcare, with real examples and links to evidence.”

Steps to take now:

1. Stay curious. Don’t wait for a mandate—start exploring and asking questions.

2. Invest in learning human-computer interaction and patient experience design.
   “Someone who understands operations and can wear the hospital admin hat, but then be designing these solutions with a patient experience lens… that is an emerging career path.”

3. Engage with thought leaders and communities.
   Look for resources that combine evidence with real stories.

4. Champion responsible AI adoption.
   Avoid chasing hype; focus on solving real, unmet needs.

Four Key Lessons for Healthcare Executives and Innovators

Takeaways from Christine Galligan’s career and AI perspective:

• Curiosity and hands-on learning open new doors.
  Experiment, test ideas, and let results—not plans—shape your career.

• Hospital admin experience provides a vital foundation for tech-driven strategy.
  Knowing how systems operate helps digital health succeed.

• AI is a tool, not a panacea.
  Data structure, transparency, and bias mitigation are the keys to real progress.

• Be the bridge between technology and human experience.
  Patient experience designers and human-computer interaction experts are the future of digital health leadership.

Final Takeaway: Lead with Human-First Design—Not Hype

AI is already reshaping healthcare strategy, but sustainable impact will come from leaders who blend operational depth, curiosity, and a commitment to responsible design. Christine Galligan, Director, Strategy & Insights at Fractional, reminds us:
“AI as a companion, a co-pilot, a way to augment human decision-making… there’s so much opportunity to improve productivity and outcomes, but it should never be about replacing humans.”

Now is the time for executives to skill up, ask hard questions, and advocate for technology that genuinely serves patients, providers, and systems—without falling for the next buzzword.