P
Patient Survey Engine
Product Guide

Strategic Focus

Patient Survey Engine is the trusted intake infrastructure layer for organizations that need to launch intake at the right moment, match the patient safely, collect structured responses quickly, and deliver usable outputs downstream without rolling out a heavyweight patient-engagement suite.

  • Lead with intake, not generic engagement.
  • Lead with operational fit for front desk, clinic staff, and implementation teams.
  • Lead with standards, auditability, validation, and low-friction patient entry.

What It Is Not

  • Not a replacement for scheduling.
  • Not a replacement for billing or revenue-cycle systems.
  • Not a full patient portal.
  • Not a broad CRM dressed up as clinical workflow software.

SMS Intake

Secure links sent to patients for asynchronous intake and SDOH completion.

QR Check-In

Location-specific public entry points for point-of-care intake starts.

Roster Reconciliation

Front-desk staff load day-scoped patient schedules without rewriting the master patient import flow.

Structured Delivery

Completed results move to provider systems as FHIR, CCD, plain text, or webhook payloads.

Core Category and Expansion Paths

Core Category

  • Pre-visit intake
  • Point-of-care QR check-in
  • Front-desk roster-based intake
  • SDOH and specialty intake packets
  • Structured downstream delivery

Shared Infrastructure

  • SMS and QR launch
  • Location and role scoping
  • Questionnaire runtime
  • Audit and analytics
  • Delivery profiles and exports

Adjacent Engagement Use Cases

  • Post-visit follow-up surveys
  • Care program check-ins
  • Annual registration updates
  • Patient-reported outcomes collection
  • Discharge questionnaires and consent renewals
  • Medication adherence or care-management outreach

The product expands by reusing the same launch, intake, audit, and delivery infrastructure for new journeys. That keeps the strategy focused: establish intake as the core operational layer first, then extend into adjacent engagement workflows on the same rails.

Expected Workflow

1
Prepare organizations and locations
Set up users, locations, phone numbers, and QR tokens.
2
Load data
Upload patient outreach lists and daily front-desk rosters.
3
Launch intake
Patients begin via SMS or location QR and progress through the secure questionnaire.
4
Review operations
Operators monitor imports, dispatch, completions, and analytics.
5
Deliver outputs
Transmit responses to provider systems and maintain the audit trail.

Architecture Summary

  • The platform separates public patient entry from authenticated staff and operator functions.
  • QR tokens identify locations only. They do not grant mutation rights.
  • Rosters are stored separately from the broader patient import domain to preserve operational clarity.
  • Role-based access controls limit front-desk users to location-scoped import and review behavior.

Security and Compliance

  • Protected health data remains behind authenticated APIs and audited server-side workflows.
  • Tokens for intake and QR flows are scoped to their purpose and revocable.
  • The deployment model supports encrypted storage, audit logging, and controlled downstream delivery.
  • Operational validation covers the behavior in mock mode before any live Twilio or external delivery is enabled.

Value and Adoption

Patients

Patients can start intake before or at arrival, reducing repetitive clipboard workflows and missed data capture.

Clinic Staff

Front desks can load the active schedule directly and help patients begin intake from a location QR without exposing staff-only actions publicly.

Implementation Teams

The system can be validated locally in mock mode, then promoted to live delivery with a smaller set of post-deploy smoke checks.

Positioning Brief

Most vendors sell broad patient-engagement suites. Patient Survey Engine focuses on the highest-friction, highest-value layer: getting the right patient into the right intake workflow, collecting structured information with low friction, and delivering it downstream in a usable form.

That message should stay consistent across product, sales, implementation, and support materials. The expansion story is real, but it should be framed as same infrastructure, more journeys rather than a pivot away from intake infrastructure.


Built for Healthcare
Node.js PostgreSQL Docker FHIR R4 HL7 CCD Twilio RBAC Audit Logging