Myukura is building clinical AI technology to reduce administrative burden for healthcare professionals. Its platform helps clinicians transform consultations into structured documentation, clearer patient communication, and supervised post-consultation workflows.
Myukura's mission is to make clinical work faster, simpler, and more supportive, while keeping healthcare professionals in control.
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The examples below are simplified representations of Myukura's AI governance model. They are designed to explain how Myukura approaches clinical AI boundaries, data minimisation, human review and operational controls. Actual behaviour may vary depending on the selected product mode, deployment environment and customer configuration. Some capabilities are available in Myukura Core, while others are designed for Edge or Sovereign deployment scenarios.
Myukura is designed for supervised clinical workflows, not autonomous clinical decision-making. Our AI systems support documentation, communication and operational task management while keeping clinical judgment with the healthcare professional.
Myukura does not provide autonomous diagnosis, does not recommend treatments, and does not send patient-facing communications without professional approval.
Raw audio is not stored. Myukura keeps the validated clinical note, not the recording.
The following configuration is an illustrative example of Myukura's safety-by-design approach. It does not represent the full internal system, but it shows the type of boundaries, permissions and workflow controls that guide how Myukura handles clinical AI features.
{
"allow_diagnosis": false,
"allow_treatment_recommendations": false,
"allow_autonomous_clinical_decisions": false,
"allow_auto_send": false,
"require_human_approval": true,
"patient_facing_outputs": "draft_or_preview_until_approved",
"clinical_note_status": "draft_until_professional_validation",
"raw_audio_storage": false,
"data_minimisation": true,
"audit_logging": true
}These boundaries reflect a simple principle: Myukura can assist with documentation, summaries, tasks and communication drafts, but the healthcare professional remains responsible for reviewing, validating and approving outputs before use.
Myukura is designed to minimise the amount of data retained at each step of the workflow. Raw consultation audio is not stored as a permanent record. The system is designed to process only what is needed to generate structured documentation and workflow outputs.
The persistent asset is the validated clinical note, associated workflow metadata and audit trail — not the raw audio recording.
{
"data_minimisation": true,
"store_raw_audio": false,
"persistent_record": "validated_clinical_note",
"store_transient_processing_artifacts": false,
"retain_only": [
"validated_note",
"approved_outputs",
"workflow_metadata",
"audit_log"
]
}This approach reduces unnecessary data exposure, simplifies auditability and keeps Myukura focused on clinical documentation and operational workflow support.
Myukura does not store raw audio by default. Depending on the selected processing mode, audio can be processed locally, processed temporarily, or transformed into text for clinical documentation. Once processing is complete, raw audio is discarded.
{
"raw_audio_storage": false,
"raw_audio_used_for": "temporary_processing_only",
"delete_audio_after_processing": true,
"store_validated_clinical_note": true,
"store_raw_recording_as_medical_record": false
}In practical terms:
Myukura can support different processing modes depending on the clinical workflow, privacy requirements and deployment environment.
In Cloud Assist Mode, consultation content may be processed in the cloud to generate structured documentation, summaries or operational outputs. Raw audio is used only for temporary processing and is not stored as a permanent asset.
{
"mode": "cloud_assist",
"cloud_processing": true,
"store_raw_audio": false,
"raw_audio_used_for": "temporary_processing_only",
"delete_audio_after_processing": true,
"store_validated_clinical_note": true,
"require_human_approval": true,
"allow_auto_send": false
}Example workflow:
In Local Privacy Mode, audio processing is designed to happen locally on the device or controlled environment. This mode is intended for workflows where raw audio should not leave the local environment.
{
"mode": "local_privacy",
"process_audio_locally": true,
"cloud_processing": false,
"store_raw_audio": false,
"local_transcription": true,
"local_task_extraction": true,
"delete_audio_after_processing": true,
"require_human_approval": true,
"allow_auto_send": false
}Example workflow:
Hybrid Mode combines local processing with controlled cloud assistance. For example, audio can be processed locally while only a minimised transcript or structured text is sent to the cloud for higher-quality drafting.
{
"mode": "hybrid",
"process_audio_locally": true,
"send_raw_audio_to_cloud": false,
"send_minimised_text_to_cloud": true,
"cloud_processing": "structured_text_only",
"store_raw_audio": false,
"delete_audio_after_processing": true,
"require_human_approval": true,
"allow_auto_send": false
}Example workflow:
Myukura is built around professional review. AI-generated outputs remain drafts or previews until the healthcare professional validates them.
{
"generated_soap_note": "draft",
"patient_summary": "preview",
"email_to_patient": "draft",
"whatsapp_message": "preview",
"calendar_action": "pending_approval",
"task_creation": "reviewable",
"finalization_requires": "professional_validation"
}This applies to clinical notes, patient-friendly explanations, follow-up messages, task extraction and external communication workflows.
Myukura's post-consultation agents are designed to work from professional-approved or reviewable source material. They can help transform a clinical note into clearer communication, tasks or follow-up drafts, but they are not designed to create new clinical decisions.
{
"source_required": "approved_or_reviewable_clinical_note",
"allow_new_diagnosis": false,
"allow_new_treatment_plan": false,
"allow_medication_changes": false,
"allow_dose_changes": false,
"allow_patient_facing_send_without_approval": false,
"compare_output_against_source": true,
"flag_missing_or_added_plan_items": true
}Example supported actions:
Myukura applies safety checks before outputs are finalized or sent externally.
{
"blocked_examples": [
"new_diagnosis_not_present_in_source",
"new_treatment_recommendation",
"medication_or_dose_change",
"patient_message_without_approval",
"sensitive_content_not_required_for_workflow",
"unsupported_clinical_claim"
],
"default_action": "flag_for_review"
}If an output attempts to add clinical content that was not present in the source note, Myukura can flag it, block it, or require additional professional review depending on the workflow configuration.
Myukura can connect clinical documentation with operational workflows such as email, calendar, forms, task management and patient communication channels. These integrations are designed to support clinical operations, not replace clinical judgment.
{
"gmail": "draft_only_until_approved",
"calendar": "pending_approval",
"whatsapp_business": "preview_until_approved",
"forms": "reviewable_before_sending",
"billing_or_admin_tools": "task_based",
"external_actions": "approval_required"
}Examples:
No external action is designed to be executed automatically without professional or authorized user approval.
The examples above are simplified. Myukura's governance approach is not based on a single prompt or a single setting. It combines product boundaries, technical controls, safety gates, audit logs, professional approval and privacy-aware processing modes.
{
"governance_layers": [
"product_boundaries",
"privacy_controls",
"role_based_access",
"human_review",
"safety_gates",
"audit_logs",
"data_minimisation",
"raw_audio_non_retention",
"connector_permissions",
"deployment_mode_controls"
]
}Myukura's goal is to make clinical work faster, clearer and better organized while keeping healthcare professionals in control.
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