cip
Personalized Health Care

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Never Miss a Step After Diagnosis or Discharge

Clinic-In-Pocket (CIP) is an AI-powered care coordination assistant that helps patients follow through on what comes next—appointments, referrals, medications, and recovery—so nothing falls through the cracks.

After leaving the hospital or receiving a diagnosis, patients are often given multiple next steps—schedule follow-ups, see specialists, manage medications, monitor symptoms. Most don’t complete all of them.

CIP bridges this gap.

It acts as a personalized, always-on assistant that guides patients through their care journey by:

How CIP Helps

  • Breaking down discharge plans into clear, actionable steps
  • Helping schedule appointments and manage referrals
  • Sending reminders and follow-ups so nothing is missed
  • Monitoring symptoms and prompting timely escalation when needed
  • Keeping patients and families aligned throughout recovery

Use Cases

Post-hospitalization follow-up

Chronic disease management

Cancer care coordination

Trust Layer

Built with a human-in-the-loop approach, CIP prioritizes privacy, transparency, and user-controlled data—ensuring patients stay informed and in control of their care.

Accessibility

Available on mobile with a simple, voice-enabled interface—making it easy for patients and caregivers to stay on track anytime, anywhere.

Join Early Access

Never Miss a Step After Diagnosis or Discharge

An AI-powered patient follow-up and care-coordination assistant for the period after hospitalization, diagnosis, or specialist visits.

Clinic-In-Pocket helps patients stay on track with appointments, referrals, medications, symptom check-ins, and recovery tasks—so nothing falls through the cracks.

Clear next steps after discharge, diagnosis, or treatment

Follow-up reminders for appointments, referrals, and medications

Better recovery, fewer missed steps, and improved continuity of care

Evidence-based guidance with human-in-the-loop support

Privacy-first experience with transparent, patient-controlled data

Early focus areas:

Post-hospitalization follow-up, chronic disease care, and cancer care coordination

We'll only use your email for early access updates.

MVP Rollout Timeline
Milestone
Timeframe
MVP Onboarding flow + Daily Snapshot UI built
2 weeks
Dynamic AI Recommendation Engine (Light Rules-based for MVP)
2 weeks
Initial use cases
4 weeks
Closed Alpha Test (10-20 users)
2 weeks
Waitlist Landing Page + Early Access Launch
Parallel during Alpha
Contact Us
email: info@aradigm.ai
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