How Traceability Works in Othisis?

In AI-assisted healthcare documentation, speed is irrelevant without clarity. Traceability in Othisis ensures that every generated note can be traced back to its origin, the clinical conversation, ingested documents, and clinician edits.
Nothing is opaque. Nothing is unexplainable. Every statement has context, source, and review history.

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What Traceability Covers

Source Traceability

Audio source linkage: Connects each AI-generated statement to the exact moment in the consultation recording.
Document traceability: Links outputs to ingested PDFs, including referrals, prior labs, and historical notes.
Structured input mapping: Associates documentation with relevant structured clinical data fields.
Context verification: Enables clinicians to review the precise context behind symptoms, diagnoses, and treatment plans.

ICD-10 Code Linkage

Structured ICD-10 mapping: Aligns documented diagnoses with appropriate ICD-10 codes.
Conversation traceability: Links each code to supporting evidence from the consultation.
Documentation validation: Connects coded diagnoses to ingested records and clinician review.
Billing and audit support: Enhances medical necessity justification, reimbursement clarity, and compliance readiness.

Interpretation Visibility

Structured interpretation transparency: Displays what was captured, how it was interpreted, and where it appears within the note.
Section-level visibility: Provides clarity across Problem List, Medications, Plan, and Follow-Up sections.
Source-to-structure mapping: Shows how raw inputs are organized into clinical documentation fields.
No black-box ambiguity: Ensures clinicians can fully understand and verify AI-generated structuring decisions.

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