feat: ambient AI visit scribe (record/paste → reviewed SOAP note)

Record a clinician↔patient visit (or paste a transcript) on the patient
sheet; the backend transcribes it (OpenAI Whisper / Gemini), de-identifies
the transcript + context through Veil, and drafts a structured SOAP note
the clinician reviews and edits before saving — the same write-approval
gate as the chat agent.

Backend: POST /api/scribe/{transcribe,draft,save} (routes/scribe.ts,
services/ai/transcribe.ts), veil.redactText() free-text redactor,
appendEncounter service, audio MIME types on attachments. Gated by
patient:write + the clinic AI policy (reception/disabled-AI excluded).
Frontend: ScribeDialog + lib/scribe.ts, "Record visit" on the patient
detail, gated by clinical access + AI availability. New `scribe` locale
namespace across all five languages. Bumps to v0.4.0.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

backend/src/services/ai/veil.ts

@@ -26,6 +26,15 @@ export type Veil = {
   redactPatient: (patient: Patient) => Patient;
   /** Map a possibly-tokenized file number from a tool call back to the real one. */
   resolveFileNumber: (input: string) => string;
+  /**
+   * De-identify free text (e.g. a visit transcript) by swapping any KNOWN
+   * identifiers — the patient name, MRN and provider names already seen via
+   * redactPatient — for their tokens. Seed the token maps by calling
+   * redactPatient(patient) first. Note: this only catches identifiers we know
+   * about; free-text PHI spoken aloud (addresses, relatives' names) is not
+   * covered — see the ambient-scribe consent notice.
+   */
+  redactText: (text: string) => string;
   /** Swap any tokens in model output back to real identifiers. */
   rehydrate: (text: string) => string;
   /** Token classes actually emitted — for the audit log. */
@@ -81,6 +90,21 @@ export function createVeil(level: VeilLevel, active: boolean): Veil {
     return mrnByToken.get(input.trim()) ?? input;
   }
 
+  function redactText(text: string): string {
+    if (!isActive || fromToken.size === 0) return text;
+    let out = text;
+    // Longest real values first so a provider name containing the patient name
+    // (or similar overlap) is replaced whole before its substrings.
+    const byLength = [...fromToken.entries()]
+      .filter(([, real]) => real.trim().length > 0)
+      .sort((a, b) => b[1].length - a[1].length);
+    for (const [token, real] of byLength) {
+      const escaped = real.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
+      out = out.replace(new RegExp(escaped, "gi"), token);
+    }
+    return out;
+  }
+
   function rehydrate(text: string): string {
     if (!isActive || fromToken.size === 0) return text;
     let out = text;
@@ -101,6 +125,7 @@ export function createVeil(level: VeilLevel, active: boolean): Veil {
     level,
     redactPatient,
     resolveFileNumber,
+    redactText,
     rehydrate,
     usedClasses,
   };