Does a doctor always review the AI recommendations?
Clinical governance and oversight requirements
Mandatory Human-in-the-Loop Oversight
Yes, 100% of AI recommendations require qualified practitioner review and acceptance. PreConsult operates under strict human-in-the-loop protocols where AI suggestions are exactly thatโsuggestions. Every differential diagnosis, treatment consideration, and billing code must be reviewed, validated, and explicitly accepted by a registered medical practitioner before use in patient care.
Practitioner Review Requirements
What Requires Review
-
Differential diagnoses
All AI-generated DDx suggestions -
Treatment considerations
Management and therapy suggestions -
Billing codes
MBS code recommendations -
Urgent symptom alerts
Emergency escalation decisions
Practitioner Review Actions
-
Accept
Agree with AI suggestion as-is -
Edit
Modify suggestion based on clinical judgment -
Dismiss
Reject suggestion as not applicable -
Add Own
Create additional considerations
Clinical Governance Framework
Level 1: Individual Practitioner Oversight
Every practitioner using PreConsult maintains full clinical responsibility for their patients
- Reviews all AI suggestions before clinical use
- Makes final diagnostic and treatment decisions
- Documents rationale for accepting or rejecting suggestions
- Maintains professional indemnity coverage
Level 2: Practice-Level Quality Assurance
Practice managers and senior practitioners monitor system use and outcomes
- Regular audits of AI suggestion acceptance rates
- Review of edit patterns and dismissal reasons
- Monitoring urgent symptom notifications and responses
- Staff training and competency assessment
Level 3: PreConsult Clinical Advisory Board
Independent specialist clinicians provide ongoing clinical oversight
- Quarterly review of system performance metrics
- Validation of new clinical algorithms
- Assessment of accuracy and safety measures
- Recommendations for improvements
Audit Trail & Documentation
Complete Transparency for Every Clinical Decision
What's Logged
- All AI-generated suggestions
- Practitioner review actions and timestamps
- Edits made to suggestions
- Dismissal reasons provided
- Urgent symptom notifications and responses
Audit Uses
- Clinical risk management
- Regulatory compliance evidence
- Continuous professional development
- System improvement feedback
- Medico-legal documentation
Practitioner Actions
Every AI suggestion in PreConsult requires practitioner action before it can be used. Practitioners can:
Accept
Confirm the suggestion as clinically appropriate
Edit
Modify based on clinical judgment
Dismiss
Reject if not applicable to this patient
Legal & Professional Responsibility
Clear Lines of Responsibility
- The treating practitioner maintains full clinical and legal responsibility for patient care
- PreConsult provides decision support suggestions only, not diagnoses or treatment decisions
- AI suggestions do not constitute medical advice or create a doctor-patient relationship
- Professional indemnity coverage for practitioners using CDSS tools applies normally
Experience Safe, Practitioner-Supervised Clinical Decision Support
See how PreConsult's mandatory human-in-the-loop oversight ensures safe, evidence-based clinical decision support with complete practitioner control.