TherapyPod connects your patients' devices, lab reports, and WhatsApp check-ins to your clinic. An AI care team notices early, reaches out first, and hands anything urgent to your staff.
Proactive outreach · WhatsApp
Namaste Ananya. Your BP readings have been trending up for three days. Any headache, swelling, or vision changes?
No headache, but my feet have been swollen since yesterday.
Thank you for telling me. I am sharing this with Nurse Priya now. The clinic will call you today.
Patient signals
Continuous care loop
From signal to visit
Pattern flagged
Rising BP across three days at week 32
Nurse notified
Escalation open with readings and context
Visit confirmed
Patient booked for 4:30 PM today
Care happens fifteen minutes at a time. Health happens all day.
Your patient's watch knows their sleep. Their home monitor knows their blood pressure. Their lab report is a PDF in a chat. None of it reaches you until the next visit, if there is one.
The between-visit blind spot
Warning signs build for days in data no one is watching. By the time the patient calls, or does not call, the easy moment to intervene has passed.
The TherapyPod care loop
Devices, labs, and WhatsApp check-ins flow into one clinic-owned record. AI watches it continuously. It brings your team in the moment something needs a clinician.
The connected patient record
Every signal your patient generates, in one clinic-owned view
Patients bring their devices, reports, and daily reality. TherapyPod turns them into a longitudinal record your team can actually act on.
Device data, patient-connected
Patients connect their own devices and apps, and choose what each clinic sees. Readings become a rolling clinical record. Raw detail stays for 90 days, and trends stay for two years.
Lab reports on the timeline
Uploaded lab reports live alongside symptoms and vitals in one patient history. They do not get lost as PDFs in a chat thread.
WhatsApp check-ins
Daily check-ins and symptom reports arrive on the channel your patients already use. No app to install, nothing new to learn.
Specialty AI personas
Maternal health, addiction recovery, oncology, and migraine each use a focused persona. Each persona follows clinic-approved guidance and permissioned tools.
Trends, not snapshots
The AI watches vitals, sleep, and symptoms together across weeks. It finds patterns a fifteen-minute consultation cannot see.
Patient-owned, DPDP-oriented
Patients own their data and control sharing per clinic. Clinic records stay isolated, and every escalation leaves an audit trail.
The proactive care loop
The AI notices. Your clinicians decide. The patient hears from you.
TherapyPod does not wait for patients to call. When the data shifts, it reaches out with clinic-approved questions and brings your staff in the moment an answer needs a clinician.
01The AI notices
Surabhi, the maternal-health persona, spots a rising blood-pressure trend in a week-32 patient's shared readings. She sees it days before anyone calls the clinic.
02It reaches out first
She checks in on WhatsApp with clinic-approved questions about headache, swelling, and vision changes. She uses the patient's language and existing channel.
03Your clinicians decide
A red-flag answer opens an escalation with the full picture: readings, conversation, journey stage. Your nurse confirms a same-day visit. Clinical decisions stay with your team.
Surabhi · Sunrise Maternity Clinic
AI care assistant · clinician supervised
Namaste Ananya 🙏 Your BP readings have been trending up for the last 3 days (138/92 this morning). Do you have any headache, swelling, or changes in your vision?
9:12 AM
No headache, but my feet have been swollen since yesterday.
9:14 AM
Thank you for telling me. Swelling at week 32 with rising BP is something Dr. Rao's team should look at today. I have shared this with Nurse Priya. She will call you within the hour.
9:14 AM
Update: you are booked with Dr. Rao at 4:30 PM today. Please rest until then. We will see you soon.
10:02 AM
Illustrative scenario. Pattern flagged from patient-shared readings. Clinical decisions stay with your staff.
Care journeys, not just conversations
Specialty AI personas follow patients through the journeys that matter most — collecting the right signals, sharing clinic-approved guidance, and escalating red flags to your care team.
Start here
Start with the front desk. Grow into continuous care.
Most clinics begin with ClinicGPT, the AI front desk that catches every inquiry on WhatsApp and web. The same safety loop then extends to connected data, care journeys, and proactive outreach.
Patient inquiry
Patients reach you on WhatsApp or web chat during nights, weekends, and busy hours.
Approved response
ClinicGPT answers from your clinic information, gathers context, and checks for urgent symptoms.
Staff handoff
Your team receives the inquiry, reviews anything urgent, and confirms the next step with the patient.
Proof before purchase
Test the whole loop with your own clinic's questions
The demo is a working walkthrough, not a slide deck. Bring real clinic information and see what the assistant answers, what it refuses, when it reaches out, and what reaches staff.
Request a working demoAnswers grounded in your clinic information
Bring your hours, services, preparation instructions, and common questions to the walkthrough.
Urgent messages routed to people
Test how the assistant stops routine automation and flags symptoms that need staff attention.
The full care loop, end to end
See how a patient-shared signal becomes proactive outreach, an escalation, and a staff decision.
Proactive, but never autonomous
Safety boundaries first. TherapyPod notices and reaches out. Your clinicians diagnose, decide, and treat.
Assists, does not diagnose
Proactive outreach follows clinic-approved guidance. Clinical decisions stay with qualified humans.
Emergency-first escalation
Red flags route to urgent guidance and staff review in reactive chat and proactive outreach.
DPDP-oriented privacy
Patients own and control their data. Clinic-level isolation, permissioned access, audit trails.
Your questions, answered
Common questions about implementing TherapyPod
Ready to be present between visits?
See the full care loop with your own clinic scenarios, from patient signal to staff decision.