1
Step 01
Query Processing
Patient submits question through patient portal, mobile app, or automated phone system
Healthcare Intelligence
Patient Query Assistant
Provide instant, accurate answers to patient questions while maintaining HIPAA compliance and medical accuracy.
Workflow-specificHuman reviewTraceable decisions
Requested summary
›
Provide the approved preparation instructions and route clinical questions to the care team.Preparation for tomorrow’s procedure
Evidence attachedApproved content
Configured around approved context, actions, and review.
The application
One application for a defined operating decision.
The Patient Query Assistant provides immediate responses to common patient questions about appointments, procedures, medications, and general health information. It reduces call volume to staff while ensuring patients receive accurate, timely information that improves their healthcare experience.
01
Answers common patient questions about appointments and procedures
02
Provides medication information and general health guidance
03
Accesses patient records for personalized responses (with proper authorization)
04
Escalates complex medical questions to appropriate healthcare professionals
05
Maintains HIPAA compliance and medical accuracy standards
06
Integrates with patient portals and healthcare management systems
How it works
A workflow with explicit inputs, actions, and review.
The application connects approved context to a controlled decision path, then records the outcome for review and improvement.
2
Step 02
Medical Analysis
AI analyzes query intent and determines appropriate medical information sources to consult
3
Step 03
Safety Verification
System ensures response accuracy and flags any queries requiring professional medical attention
4
Step 04
Response Delivery
Patient receives accurate, helpful response or is connected with appropriate healthcare staff
In context
Example in Action
The workspace brings the request, relevant context, decision signals, and next action into one view.
Communication
Patient asks about pre-surgery preparation instructions
Review findings
AI provides comprehensive, personalized guidance:
- Procedure info: Knee replacement surgery scheduled for next Tuesday
- Pre-op instructions: No food/drink after midnight, arrive 2 hours early
- Medication guidance: Continue blood pressure medication, stop blood thinner as instructed
- What to bring: Insurance card, photo ID, comfortable clothing
Outcome
Patient receives detailed, personalized pre-surgery instructions instantly
Designed for control
Controls follow the decision.
Permissions, escalation rules, review ownership, and audit records are configured around the workflow and its risk.
Approved context
The application uses selected data sources, policies, and instructions with clear owners.
Escalation by risk
Uncertain, exceptional, or high-impact cases move to the assigned reviewer.
Decision trace
Inputs, findings, actions, and review outcomes remain available for evaluation and audit.
Security and compliance foundation
✓HIPAA Compliant✓SOC 2 Type II✓ISO 27001✓HITECH Compliant
- ↳End-to-end encryption for all patient communications
- ↳HIPAA-compliant data processing and storage
- ↳Secure integration with EHR and healthcare systems
- ↳Complete audit trails for patient interactions
Representative pilot
Test one representative workflow in four focused weeks.
The pilot uses representative inputs, actual review roles, and agreed measures before a production decision.
Week 01
Frame
Define the user, workflow boundary, source systems, review roles, and success measures.
Week 02
Configure
Connect representative context and configure the first decision and escalation path.
Week 03
Integrate
Place the application inside the selected workflow with permissions and telemetry.
Week 04
Pilot
Run with a controlled group, review results, and establish the production gate.
Measures we establish
Agree the measures before the pilot.
Baselines and targets are set with your team. Reported outcomes reflect results measured during the pilot.
Decision quality
Agreement with approved outcomes on representative cases
Cycle time
Time from request or input to an actionable result
Review load
Cases and effort requiring human intervention
Traceability
Decisions with complete context and review records
Fits the operating environment
Connect the systems that hold context and action.
The first implementation uses the smallest integration surface that can prove the workflow safely.
PatientsAdministrative staffNursesPatient experience managers
EEEpic EHR
CCerner
AAllscripts
PPPatient Portals
HCHealthcare CRM
TPTelemedicine Platforms
Representative workflow
Enhance patient experience with AI support
See how the Patient Query Assistant can improve patient satisfaction while reducing administrative burden on your healthcare staff.
Book 20-minute Demo ↗