Restores two pieces of vanilla behavior the React port silently dropped: 1. The output divs were contenteditable in vanilla — clinicians fix AI mistakes inline before saving the encounter or copying out. The early React port rendered the output as a read-only div, so any edit forced a copy-paste workflow. 2. correctionTracker.js (public/js/correctionTracker.js) saved every meaningful inline edit to user_memories under category correction_<section> so the AI learns user preferences. Settings → Corrections still showed them, but nothing in React was *writing* them — the loop was broken. New EditableResult component wraps the result body in a textarea, captures the AI baseline on first render / after refine|shorten, and on blur posts to /api/memories/correction (only when the edit clears the noise threshold from vanilla — wordDiff ≥ 2 OR charDiff ≥ 20 on outputs > 100 chars). Wired into all 7 note pages: Encounter → section: 'encounter' Dictation → section: 'hpi' SOAP → section: 'soap' SickVisit → section: 'sickvisit' WellVisit → section: 'wellvisit' HospitalCourse → section: null (server enum has no correction_hospital) ChartReview → section: null (server enum has no correction_chart) Tests: shared/clinical/correction-tracker.ts (+ .test.ts) — pure heuristic with vectors covering the noise floor (single-word swap on long text → skipped; new sentence → tracked; large char diff → tracked). Lives in shared/ so the root vitest config picks it up; the React component imports from there.
171 lines
7 KiB
TypeScript
171 lines
7 KiB
TypeScript
// ============================================================
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// DICTATION — voice dictation → HPI via /api/generate-hpi-dictation
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//
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// Minimum-viable port: demographics + transcript textarea + generate.
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// The vanilla version also has MediaRecorder-based audio capture,
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// transcription upload, save/load popover, refine, shorten, and
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// Nextcloud export. Those each land in follow-up commits — this
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// first pass proves the generate-HPI wire protocol works from React.
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// ============================================================
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import { useState } from 'react';
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import { useMutation } from '@tanstack/react-query';
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import { api, ApiError } from '@/lib/api';
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import type { HpiOk } from '@/shared/types';
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import { HpiEncounterRequestSchema, type HpiEncounterRequest } from '@/shared/schemas';
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import Recorder from '@/components/Recorder';
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import EncounterToolbar from '@/components/EncounterToolbar';
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import EditableResult from '@/components/EditableResult';
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type Setting = 'outpatient' | 'inpatient';
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const TYPE = 'dictation' as const;
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export default function Dictation() {
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const [label, setLabel] = useState('');
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const [patientAge, setPatientAge] = useState('');
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const [patientGender, setPatientGender] = useState('');
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const [setting, setSetting] = useState<Setting>('outpatient');
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const [transcript, setTranscript] = useState('');
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const [interim, setInterim] = useState('');
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const [result, setResult] = useState<string | null>(null);
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const [validationError, setValidationError] = useState<string | null>(null);
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const [recError, setRecError] = useState<string | null>(null);
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const generate = useMutation<HpiOk, Error, HpiEncounterRequest>({
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mutationFn: (body) => api.post<HpiOk>('/api/generate-hpi-dictation', body),
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onSuccess: (data) => setResult(data.hpi),
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onError: () => setResult(null),
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});
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function submit(e: React.FormEvent) {
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e.preventDefault();
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setValidationError(null);
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const body: HpiEncounterRequest = { transcript: (interim || transcript).trim(), patientAge, patientGender, setting };
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const parsed = HpiEncounterRequestSchema.safeParse(body);
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if (!parsed.success) {
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setValidationError(parsed.error.issues.map((i: { message: string }) => i.message).join(', '));
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return;
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}
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setResult(null);
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generate.mutate(parsed.data);
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}
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function clear() {
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setTranscript('');
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setInterim('');
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setResult(null);
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setValidationError(null);
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}
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const input = 'w-full rounded-md border border-input bg-background px-3 py-2 text-sm';
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const displayedTranscript = interim || transcript;
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return (
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<div className="max-w-4xl mx-auto p-6 space-y-4">
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<header>
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<h1 className="text-2xl font-semibold">Voice Dictation → HPI</h1>
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<p className="text-sm text-muted-foreground">
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Dictate your narrative → AI restructures into polished HPI.
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</p>
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</header>
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<EncounterToolbar
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type={TYPE}
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label={label} setLabel={setLabel}
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transcript={transcript} generatedNote={result || ''}
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partialData={{ age: patientAge, gender: patientGender, setting }}
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onLoad={(enc) => {
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setTranscript(enc.transcript || '');
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setInterim('');
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setResult(enc.generated_note || null);
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try {
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const pd = enc.partial_data ? JSON.parse(enc.partial_data) : null;
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if (pd?.age) setPatientAge(pd.age);
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if (pd?.gender) setPatientGender(pd.gender);
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if (pd?.setting) setSetting(pd.setting);
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} catch { /* ignore */ }
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setLabel(enc.label || '');
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}}
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onClear={() => { clear(); setPatientAge(''); setPatientGender(''); setSetting('outpatient'); }}
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/>
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<form onSubmit={submit} className="space-y-4">
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<div className="grid grid-cols-3 gap-3">
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<label className="flex flex-col gap-1">
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<span className="text-xs font-semibold uppercase tracking-wider text-muted-foreground">Age</span>
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<input className={input} placeholder="e.g. 8 months" value={patientAge} onChange={(e) => setPatientAge(e.target.value)} />
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</label>
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<label className="flex flex-col gap-1">
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<span className="text-xs font-semibold uppercase tracking-wider text-muted-foreground">Gender</span>
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<select className={input} value={patientGender} onChange={(e) => setPatientGender(e.target.value)}>
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<option value="">Select</option>
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<option>Male</option>
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<option>Female</option>
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</select>
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</label>
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<label className="flex flex-col gap-1">
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<span className="text-xs font-semibold uppercase tracking-wider text-muted-foreground">Setting</span>
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<select className={input} value={setting} onChange={(e) => setSetting(e.target.value as Setting)}>
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<option value="outpatient">Outpatient</option>
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<option value="inpatient">Inpatient / Floors</option>
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</select>
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</label>
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</div>
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<Recorder
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module="dictation"
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onTranscript={(text, meta) => {
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setTranscript((prev) => (meta.appended ? (prev ? prev + ' ' + text : text) : text));
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setInterim('');
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setRecError(null);
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}}
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onInterim={(t) => setInterim(t ? (transcript ? transcript + ' ' + t : t) : '')}
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onError={(msg) => setRecError(msg)}
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/>
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{recError && <div className="text-sm text-destructive">{recError}</div>}
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<label className="flex flex-col gap-1">
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<div className="flex items-center justify-between">
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<span className="text-xs font-semibold uppercase tracking-wider text-muted-foreground">
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Transcript / dictation
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</span>
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<button type="button" onClick={clear} className="text-xs text-muted-foreground underline">
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Clear
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</button>
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</div>
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<textarea
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className={input + ' min-h-[200px] font-mono text-sm'}
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placeholder="Click Start recording, or type / paste your dictation here."
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value={displayedTranscript}
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onChange={(e) => { setTranscript(e.target.value); setInterim(''); }}
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/>
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</label>
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{validationError && <div className="text-sm text-destructive">{validationError}</div>}
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{generate.error && <div className="text-sm text-destructive">{(generate.error as ApiError).message}</div>}
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<div className="flex gap-2">
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<button
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type="submit"
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disabled={generate.isPending || !displayedTranscript.trim()}
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className="rounded-md bg-primary text-primary-foreground px-4 py-2 text-sm font-medium disabled:opacity-50"
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>
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{generate.isPending ? 'Generating…' : 'Generate HPI'}
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</button>
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</div>
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</form>
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{result !== null && (
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<EditableResult
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text={result}
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onChange={setResult}
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section="hpi"
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title="Generated HPI"
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exportLabel="hpi-dictation"
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exportType="hpi"
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sourceContext={displayedTranscript}
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/>
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)}
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</div>
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);
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}
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