Turn Patient Messages into Structured Records Before the Appointment Starts
Sift parses patient intake messages into structured fields -- symptoms, medications, insurance, and history -- so your clinical staff can focus on care, not data entry.
12 min/patient
Intake data entry time saved
94%
Pre-visit information completeness
67%
Reduction in registration errors
The intake problem in healthcare
- Patients describe symptoms in everyday language that staff must translate into clinical terms
- Insurance details, medication lists, and allergies are scattered across portal messages and voicemails
- Front-desk staff spend 12+ minutes per patient manually entering intake data into the EHR
- Missed medication interactions because allergy info was buried in a free-text note
See how Sift handles healthcare intake
What users type
What you get
James Okafor
1979-08-14
Sharp left-sided chest pain for 2 weeks, worse with exertion; shortness of breath
Metoprolol 50mg daily, Lisinopril 20mg daily
Penicillin, Sulfa drugs
Aetna, Member ID AET-2847561, Group 0042
Dr. Reena Patel, Lakeview Medical
Recommended form fields for healthcare
Recommended Form Fields
Matches the patient to their medical record number
Primary patient identifier alongside name for EHR lookup
Drives triage priority and appointment type scheduling
Critical for interaction checks and pre-visit medication reconciliation
Patient safety -- must be captured before any treatment or prescription
Enables eligibility verification before the appointment
Determines same-day vs. scheduled appointment routing
For appointment confirmations and clinical call-backs
Frequently asked questions
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Templates
Use Cases
Sift 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.
Complaint HandlingSift analyses customer complaints to extract the core issue, severity, desired resolution, and emotional tone so your team can respond with precision and empathy.