MindSea Digital Health Blog
News and insights on mobile app development, design, and digital healthcare
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How to Build AI Clinical Decision Support That Clinicians Use
AI-powered clinical decision support software has the potential to reduce physician workload and improve care decisions, but adoption depends on mapping the right features to the right clinical moments and getting the technology, trust, and regulatory questions right. Key Takeaways Physicians already average nearly 58-hour workweeks, with a mind-numbing 13 of those hours consumed by… Read more
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7 Product Pivots Over a Decade: Welltory’s Health App UX Lessons
In this episode of Moving Digital Health, host Reuben Hall speaks with Asya Paloni, Chief Product Officer at Welltory, about what seven product pivots taught her team about building a health app that 16 million people actually keep using. Asya shares how each iteration brought Welltory closer to a core insight: the engagement tactics most… Read more
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What Data Does AI Clinical Decision Support Need to Give Reliable Answers?
AI-powered clinical decision support systems (CDSS)are transforming how clinicians make decisions, but their recommendations are only as good as the models and data behind them. Key Takeaways AI clinical decision support systems (CDSS) promise faster, more informed medical decisions without piling more work onto clinicians who are already overloaded. By analyzing patient records alongside clinical… Read more
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The Biggest Risk Amid Rising AI Adoption in Canadian Healthcare
In this episode of Moving Digital Health, host Reuben Hall sits down with Will Falk, a prominent figure in Canadian health policy, about the evolving landscape of digital health and the impact of skyrocketing AI adoption in Canadian healthcare systems. Will shares his extensive background in digital health and public policy, emphasizing the rapid adoption… Read more
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AI Personalization in Health Apps While Protecting Patient Privacy
Key Takeaways AI-driven digital health apps promise highly personalized care through nudges, feedback, and even predictive alerts tailored to individuals’ behaviour and symptoms. For healthcare researchers, the promise of AI personalization is compelling, as personalized interventions can boost engagement and adherence. But the very data that powers such personalization is sensitive, and many apps fall… Read more
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Why Health Tech Leaders Benefit From Academic AND Industry Experience
In this episode of Moving Digital Health, host Reuben Hall sits down with Alyssa Abo, Vice President of Clinical Innovation at DeepSight Technology and Adjunct Clinical Professor at Stanford University School of Medicine. Alyssa shares how her career across academia, clinical practice, and industry shapes the way she approaches being a health tech leader. Drawing… Read more
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How Parados Uses Motion Capture Technology to Improve Rehab
In this episode of the Moving Digital Health podcast from MindSea, Parados founder and CEO Pascal McCarthy shares how his experiences as an athlete led him to build a new kind of motion capture technology for healthcare to more frequently assess patient movement. Parados helps clinicians and athletes record and analyze movement using simple video… Read more
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What HIPAA-Compliant AI Actually Means in Mobile Apps
Key Takeaways When healthcare researchers design AI-enabled mobile apps, they are not just building tools. They are navigating a complex ecosystem where algorithmic decisions meet sensitive patient data. One study of AI-powered health apps found that most did not explain how their algorithms reached decisions, leaving users unsure how their data was used. This lack… Read more
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The Ultimate Guide to Building a HIPAA Compliant App in 2026
Before patients trust your app with their health, they need to trust you with their data. HIPAA is how you earn that trust. In 2025, building a HIPAA compliant app is the foundation of credibility for any mobile health or research platform. For universities, hospitals, and grant-funded teams, the stakes are exceptionally high. A single… Read more
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From Detection to Prediction in Remote Patient Monitoring
CHARM-COPD Project Snapshot Who: Researchers at the University Health Network (UHN), Sunnybrook Health Sciences Centre, and the University of Toronto (all in Toronto) What: Remote patient monitoring app for COPD patients, which is designed to capture daily symptom changes and treatment adjustments Features: Future Expansion: Developing a programmable platform to adapt to other conditions (hypertension,… Read more
