Fill Your Schedule with Pre-Qualified Patients, Not Phone Tag
Sift turns patient enquiry calls, website messages, and referrals into structured appointment-ready records with insurance, symptoms, and urgency extracted automatically.
8 minutes
New patient intake time saved
92%
Insurance pre-verification rate
47%
Same-day appointment booking increase
The intake problem in dental
- New patient enquiries arrive via phone, web form, and Google messages in completely different formats
- Front desk staff spend 8+ minutes per new patient manually entering insurance and medical history
- Emergency patients describe symptoms vaguely ('my tooth hurts') with no indication of which tooth or severity
- Insurance verification requires policy details that patients rarely provide upfront
See how Sift handles dental intake
What users type
What you get
Lisa Hwang
Cracked back molar (left side), sharp edge cutting tongue, cold sensitivity
Urgent (happened yesterday)
Bit into olive pit
Wisdom teeth extraction (college); no dentist visit in ~2 years
None reported
Delta Dental PPO, Member ID DD-773920-06
Any morning this week
Recommended form fields for dental
Recommended Form Fields
Creates the patient chart and checks for existing records
Determines appointment type and duration for scheduling
Prioritizes same-day emergencies over routine new patient slots
Enables eligibility verification before the patient arrives
Patient safety -- must be in the chart before treatment
Gives the dentist context before the exam
Enables the front desk to book without a call-back
For appointment confirmations and day-of reminders
Frequently asked questions
Ready to modernise your dental intake?
Set up your first extraction form in under 5 minutes.
Start extracting data — freeRelated
Templates
Parse freeform customer messages into structured support tickets with priority and category.
Lead IntakeStructure inbound leads from contact form submissions, emails, or chat messages into CRM-ready records.
Patient IntakeParse patient information, medical history, and current concerns from intake messages.
Use Cases
Sift extracts intent, budget signals, and urgency from free-text lead forms, then scores and enriches every submission so sales can prioritise instantly.
Client IntakeSift transforms free-text client intake submissions into structured profiles with goals, requirements, and red flags extracted automatically.
Patient IntakeSift extracts symptoms, medical history, medications, and urgency from free-text patient intake forms so clinics can prepare before the appointment begins.