New chapter: Spike Technologies is acquired by Raintree 🎉
Joining forces brings our agentic voice AI directly into the leading therapy EMR platform and to 100M+ patients in the US.
Fasten your seatbelts! 🚀
Announcement: https://t.co/oPO1MDlW9w
Users want explanations, not reports, and IoT devices deliver.
Equa + Nix integration replaces "drink 8 glasses" with personalized hydration timing based on sweat loss
Read what other leading IoT products do and why they keep users engaged: https://t.co/aEJm5SAfFJ
According to NVIDIA, 69% of healthcare organizations use generative AI. Autonomous agent adoption is at 22% and rising.
Here’s what you need to know about agentic AI for specialty clinic workflows: https://t.co/M51MS1S0eO
Lab test analysis is one of the most overlooked retention tools in health apps: users have to return to see whether the intervention plan worked, what changed, and what to do next.
Here's how industry leaders are already building it in: https://t.co/Bjxhhbn3UO
Businesses are exploring employee wellness beyond step counting.
Air quality monitors, posture trackers, and smart hydration devices are reshaping workplace health programs.
We compiled what's on the market and what to consider for integration: https://t.co/blDPOvjy5Z
67% of patients struggle to interpret their lab results.
That creates both a challenge and an opportunity for developers building health apps to turn it into personalized and actionable insights.
Read the full piece: https://t.co/mjTW8ACoBJ
Lab report integration needs four layers: OCR, structured extraction, LOINC mapping, and compliance.
Miss one, and your blood test data is either unreadable, unstandardized, or non-compliant.
Here's what to think through before you build: https://t.co/9NV9HXKIFE
LOINC is the universal standard for lab test results.
Same code for a glucose test, whether it's run in New York or L.A. Different lab, unified result your app can read.
Learn more: https://t.co/kUDFzeclvl
RTM offers a direct billing pathway for PT, OT, and SLP clinics.
RPM offers clinical-grade physiologic monitoring.
Yet most clinics aren't using either. Not because the case is unclear, but because the data layer is a mess.
Full breakdown: https://t.co/Fu6GAKCiXy
Employee wellness programs designed for hybrid workforces see 2x higher engagement than single-channel approaches.
The difference comes down to three architecture decisions: https://t.co/45XimCcPFZ
Your users expect your app to connect to their Fitbit, Garmin, Apple Watch, and Oura.
Don't let your team get buried in SDK maintenance for a dozen devices.
Here's how the fastest teams are handling it: https://t.co/jfOoH5Ldg8
Remember the Google Fit shutdown chaos?
If you’re building health data integrations in-house, having the right know-how can help you prepare for situations like these.
We've made a guide: https://t.co/kHa58LgcbS
AI-focused startups captured 54% of digital health funding in 2025, up from 37% the year before.
Three technologies driving it: https://t.co/JdYOEDdG0C
@AnthropicAI entered the health space with Claude for Healthcare; now it’s a race for health products to keep up.
Dive into what all of this means for the future of digital health providers: https://t.co/8ukYzR9c7i
FemTech apps are turning to AI health insights.
Here’s what some have already been doing before ChatGPT Health:
@NaturalCycles: 93% fertility accuracy
@UltrahumanHQ: 90%+ for PCOS patients
@mavenclinic: Unified health data cutting unnecessary procedures
https://t.co/ER9tNfHTTY
@OpenAI just announced @ChatGPTapp Health.
And for those building health apps, the main question is: do you let your users turn to ChatGPT Health, or build similar capabilities directly into your platform?
Learn more about what this means: https://t.co/MaoViFAWRt
Pulsetto helps users manage stress through vagus nerve stimulation. They used Spike Wearables API to integrate 12+ wearables in a fraction of the time.
Result: Tens of thousands of users now track impact on Apple Health, Oura, Garmin, and more.
Full: https://t.co/fRDUx4szdv
82% of employees are at risk of burnout. 80% of companies offer wellness programs. Only 40% of employees participate.
Generic step trackers aren't working.
AI wellness coaches powered by real health data do.
Here's how we built it with Spike MCP 👇
https://t.co/Xg666Fz6Qv
The Model Context Protocol is reshaping how businesses integrate AI into their workflow.
Now possible:
→ Processing sensor data locally
→ Multi-modal analysis (text + image + audio)
→ Real-time coordination across systems
One interface for all.
Read: https://t.co/THaN7Th1Xf
The Model Context Protocol market grew from $0 to $1.8 billion in under a year.
What's driving this? AI needs context to be useful. MCP makes it simple: each app connects once, each tool connects once.
Read the full story: https://t.co/srFZK4xwNk