Private chronic-care tracking pilot
Prove whether PulseLog-style tracking can reduce chronic-care follow-up chaos in 30 days.
HealthPulseAI helps practices and care teams test a small, no-PHI-first workflow for patient logging, wearable-supported trends, and care-team review before committing to a broader rollout.
No diagnosis, treatment, emergency monitoring, or PHI submission is requested through this public form.
What the pilot produces
No-PHI workflow review before any data sharing
Baseline tracking gap map for one chronic-care cohort
Patient logging and care-team sharing pilot plan
Week-one success metrics your staff can actually review
Best-fit buyers
Owner-led practices, care coordinators, remote monitoring teams, and healthcare operators who already chase missing home readings manually.
A controlled validation path, not a broad launch
The goal is to learn whether better logging visibility creates enough operational value to justify a paid rollout.
1. Baseline the tracking gap
We identify where glucose, blood pressure, oxygen, medication, or symptom tracking breaks down today.
2. Select a small pilot cohort
Start with one focused group: diabetes, hypertension, COPD, post-op monitoring, or another high-friction care routine.
3. Review weekly operator signals
The pilot is judged by adherence, clearer follow-up conversations, staff visibility, and avoided manual chase-work.
Request a private pilot fit review
Share operational context only. If there is a fit, the next step is a no-PHI baseline worksheet and a short scoping call. If you are ready to reserve a paid pilot slot, choose the invoice option in the form.