Picture yourself at a crossroads, overwhelmed by thoughts you can’t quite articulate. It’s late. Friends are asleep. Therapists won’t be available for hours. You’re pretty much alone with your thoughts, except the mental health app on your phone nudging you with a gentle, “Are you okay? Let’s talk.” You hesitate, because it’s not a “real” person, yet you find yourself sharing a bit. And somehow, it helps.
This isn’t sci-fi anymore. It’s the kind of real-world scenario where virtual assistants and chatbots trained in a way to support you, offering a safety net when psychological help is out of reach. More importantly, it’s built to be not chaotic, but a methodical, incremental shift toward more personalized, available, and data-driven care. And, for companies building mental health solutions, it’s also a chance to explore how to build a new generation of AI solutions that does that responsibly, ethically, and, let’s be honest, without spiraling into the AI overhype.
We’ve had the pleasure of working with Healthie on one of our favorite projects, Zuri. We started working with Zuri about 18 months ago, and integration with Healthie was a heart of it. Here’s a detailed description of our journey.
We’ve gathered our best design work in this article to help you find the perfect look for your Healthcare project.
Hi, I’m Michael Borozenets, the CTO at Fulcrum, a healthcare development agency. I’ve been in the tech industry for years, and I’ve seen many trends come and go. Today, I want to share some insights on why simply creating a healthcare AI chatbot might not be the best way to use AI.
If you’re like us, passionate about making a difference in healthcare but find HIPAA compliance for software a bit of a head-scratcher, this article is for you.
Feeling confused about FHIR vs HL7 differences? Worry not, this is a simple guide to FHIR & HL7 dilemma. It’s made for Healthcare founders and healthcare institutions looking into HL7 standards and versions.
