patient_onboarding · healthcare · workflow
ASISPO uses Botpress conversational AI to manage patient journeys pre and post surgery
Doctors struggle to follow up with patients at scale due to busy schedules and phone-tag, making pre and post operative care difficult to deliver consistently without consuming excessive physician time.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Patient record creation
When a patient is scheduled for care in the ASISPO application, a provider creates a record for that patient to ensure pre and post operative messages will be sent at the right time.
Tools used
BotpressNLU
Outcome
ASISPO achieved a 70% adoption rate, and one doctor's caseload of 600 patients over eight months required only 10 over-the-phone follow-ups, dramatically reducing physician time spent on routine patient contact.
Results
Time savedsix to eight hours per week
Volume70%
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes.
chatbotconversational aidata extractionpersonalizationchat transcriptmedical recordhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedhealthcareautomation ratecustomer satisfactionemployee productivitytime savedvendor customer storyclinical documentationcustomer supportpatient onboardingautonomous resolutionescalation workflow