Meet Connie Dovel: A Health & Wellness Coach Who Gets It
“It’s not just about what to eat or how to dose. It’s about listening - really listening - and working together to find what fits.”
Connie Dovel, Health and Wellness Coach for the Adhera Caring Digital Program, knows firsthand what families go through when a child is diagnosed with Type 1 diabetes. As a parent of a T1D child herself, she brings deep empathy, real-life experience, and evidence-based support to every coaching interaction. In this blog, Connie shares how she helps families feel more confident, supported, and seen - one day at a time.
At Adhera Health, we believe that caring for a child with Type 1 diabetes takes more than clinical appointments - it takes everyday courage, emotional support, and a sense of being truly understood. That’s exactly what families find in Connie Dovel, one of the compassionate Health and Wellness Coaches behind the Adhera Caring Digital Program.
Connie’s role goes far beyond advice - it’s about connection, empathy, and empowerment. Here’s a closer look at what fuels her work and how she supports families navigating pediatric Type 1 diabetes.
A Lifelong Passion for Health - and a Personal Connection to T1D
Connie’s career in health and wellness spans personal training, nutrition counseling, and health promotion. With a Bachelor’s in Exercise Science, a Master’s in Health Promotion Management, and certifications in both personal training and health coaching, she brings deep knowledge to every coaching session.
But what makes her truly unique is that she’s walked this road herself:
“My oldest child was diagnosed with Type 1 diabetes at 11. I can empathize with and guide families because I’ve faced the same challenges they’re facing every single day.”
Coaching That’s Personal, Not One-Size-Fits-All
Through the Adhera app, Connie supports families with:
One-on-one chat support
Scheduled video sessions
Each conversation is tailored to a family’s unique concerns. Whether it’s navigating sports safely, managing picky eating, or adjusting insulin around busy schedules, Connie adapts to meet them where they are.
“Every interaction is different. There’s no script. Just a real conversation based on what that family needs right now.”
A Moment That Meant Everything
Connie recalls supporting a teen girl with T1D who was completely burned out and disengaged from her care.
“She had given up. Her parents were overwhelmed. We took small steps, little by little. Months later, she messaged me:
‘Thank you for believing in me when I didn’t believe in myself.’
That’s why I do this.”
Tools That Help Families Feel in Control
Connie often begins with goal setting - short-term, long-term, and everything in between. From mindfulness exercises to daily check-ins, each strategy is customized. And thanks to the app’s chat function, support fits into real life, not just a calendar.
“Families are busy. The digital connection means we don’t need to wait for a scheduled session. We can talk when it matters most.”
Inclusive, Accessible Support for Every Family
Connie works with families from all backgrounds. Her approach is grounded in respect, curiosity, and flexibility, with sensitivity to cultural, social, and emotional differences.
“It’s not just about what to eat or how to dose. It’s about listening - really listening - and working together to find what fits.”
Looking Ahead with Adhera Health
As someone who once wished for this kind of support herself, Connie is energized by where Adhera is headed:
“This concept is revolutionary. I wish something like this existed when my child was diagnosed. I’m honored to be part of it.”
Her advice to every caregiver?
“Take it one day at a time. Don’t be afraid to accept help. And remember—every small win matters.”
Learn More About the Adhera Caring Digital Program
Discover how Adhera Health supports families managing pediatric chronic conditions with empathy, evidence, and everyday tools that work.
What AMIA 2025 Taught Adhera Health About Fair, Responsible AI in Healthcare
What AMIA 2025 Taught Us About Fair, Responsible AI in Healthcare
At the AMIA Informatics Summit 2025, Adhera Health shares our vision for Precision Digital Companions that prioritize fairness, equity, and real-world family needs. From tackling bias in AI models to integrating Social Drivers of Health (SDoH), we walked away with powerful insights that are shaping how we design digital health solutions for children with chronic conditions - and their caregivers.
Read the full reflection from our Lead Data Scientist, Ioannis Billions, and learn how these lessons are fueling our next phase of innovation.
Insights from the AMIA Informatics Summit that are helping guide our approach to using AI and digital tools to better support families managing chronic health conditions.
Earlier this month, I had the opportunity to attend and present at the AMIA Informatics Summit 2025, one of the most influential conferences in health informatics. The event brought together leading researchers, clinicians, and industry innovators to explore the latest advancements in AI, machine learning, and digital health solutions.
Attending this summit was essential for Adhera Health as we continue advancing our mission in digital health innovation. Our goal is to develop Precision Digital Companions that leverage AI, machine learning, and Social Determinants of Health (SDoH) to improve health outcomes—especially for families managing pediatric chronic conditions, a group often overlooked in digital health innovation. The discussions at AMIA reinforced the importance of fairness in AI, ethical deployment of machine learning models, and the critical role of SDoH in shaping equitable healthcare solutions.
Key Takeaways from the Summit
1. Fairness in AI: Addressing Bias in Machine Learning for Chronic Disease Care
One of the most pressing challenges in AI-driven healthcare is the issue of bias in machine learning models. During my presentation, I highlighted how current AI models often favor younger, male patients, leading to disparities in chronic disease care. These biases, embedded in training data, can result in less accurate predictions for older adults, women, and underrepresented populations—widening healthcare inequalities.
The session sparked thought-provoking discussions with attendees on ways to mitigate these biases, including:
1. Rebalancing training datasets to ensure diverse representation.
2. Developing fairness-aware algorithms that actively correct disparities.
3. Integrating SDoH data to capture a more holistic view of patient health.
We also discussed how fairness in AI extends beyond individual patients to their families—particularly in pediatrics, where caregivers play a central role in daily disease management. Supporting equitable outcomes means considering not just clinical risk factors, but also the emotional, logistical, and behavioral burden placed on families.
2. Engaging with Leading Experts in Biomedical Informatics
One of the most valuable aspects of AMIA is the opportunity to connect with top researchers and thought leaders. I had insightful conversations with experts from UCSF, Stanford, NYU Langone, and Mayo Clinic on cutting-edge developments in AI and health informatics, particularly in:
1. The potential and risks of Large Language Models (LLMs) in healthcare. While LLMs hold promise for patient communication and clinical decision support, concerns around hallucinations and bias remain critical.
2. Ethical considerations in AI deployment. How can hospitals ensure that AI-driven decisions align with patient-centric care?
3. Advancing NLP and machine learning in EHRs. How can we leverage AI to extract meaningful insights from electronic health records while maintaining privacy and fairness?
These discussions reinforced the importance of responsible AI development and the need for cross-sector collaboration to ensure these technologies truly benefit patients.
3. Spotlight on SDoH and AI Integration
A key theme throughout the summit was the integration of SDoH in AI models. In a discussion with a researcher from a leading children's hospital, we explored the role of SDoH data in family-centered precision digital health solutions for pediatric chronic conditions—a critical yet often overlooked aspect of AI in healthcare. These conversations reinforced the importance of designing tools that recognize caregivers as active participants in care and address the real-world challenges families face, such as housing instability, food insecurity, and access to transportation.
By incorporating factors like socioeconomic status, access to care, and environmental conditions, AI-driven tools can offer more personalized and equitable healthcare recommendations. This aligns directly with Adhera Health’s mission to create digital companion solutions that account for real-world patient contexts beyond clinical data alone.
Looking Ahead: Next Steps for Adhera Health
Insights from AMIA will directly inform the evolution of Adhera Health’s Precision Digital Companion programs. Specifically, we are focused on:
1. Enhancing AI fairness in our predictive models to reduce bias in chronic disease care.
2. Expanding partnerships with healthcare institutions and researchers to drive responsible AI innovation.
3. Continuing to refine our support for family dyads—both the child and caregiver—to ensure our digital companions foster confidence, resilience, and health literacy at home.
4. Further integrating SDoH data to improve personalization and patient engagement in digital health solutions.
We are excited about upcoming opportunities to collaborate with leaders in AI fairness, biomedical informatics, and digital health to ensure these innovations lead to more just and effective healthcare solutions.
Conclusion
Attending AMIA Informatics Summit 2025 was a powerful reminder of the potential—and responsibility—of AI in healthcare. From addressing bias in machine learning to leveraging SDoH for more equitable family-centered care, the discussions and collaborations at this event will shape the next phase of digital health innovation.
At Adhera Health, we are committed to leading this change. If you're interested in collaborating on AI fairness, SDoH integration, or digital health solutions, let’s connect!
Stay tuned for an upcoming research publication where we dive deeper into these topics. In the meantime, follow Adhera Health for more updates on our work in responsible AI and precision digital health.