feat(verpleegrapportage): Nieuwe module + opruiming codebase

Verpleegrapportage module:
- Nieuwe /epd/verpleegrapportage met patiëntenoverzicht
- Rapportage invoer workspace met timeline view
- Overdracht overzicht met AI-samenvatting
- API endpoints voor verpleegrapportage data

Opruiming:
- Oude /epd/overdracht en /epd/dagregistratie verwijderd (vervangen)
- Oude /api/nursing-logs verwijderd (geconsolideerd naar reports)
- Verouderde design docs en reports verwijderd
- Fonts verplaatst van docs/ naar public/fonts/

Bugfixes:
- Risk-manager: fix constraint violation (db values vs display labels)
- Overdracht API: filter op rapportages i.p.v. encounters

Database:
- Migratie voor consolidatie nursing_logs naar reports tabel

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
colinislit
2025-12-08 11:19:48 +01:00
parent d9340ba296
commit 75c7e284b9
222 changed files with 5473 additions and 7494 deletions

View File

@@ -20,14 +20,14 @@ import {
type AISamenvatting,
type Aandachtspunt,
} from '@/lib/types/overdracht';
import type { NursingLog } from '@/lib/types/nursing-log';
import { VERPLEEG_REPORT_TYPES } from '@/lib/types/report';
// Zod schema for AI response validation
const AandachtspuntSchema = z.object({
tekst: z.string(),
urgent: z.boolean(),
bron: z.object({
type: z.enum(['observatie', 'rapportage', 'dagnotitie', 'risico']),
type: z.enum(['observatie', 'rapportage', 'verpleegkundig', 'risico']),
id: z.string(),
datum: z.string(),
label: z.string(),
@@ -40,23 +40,33 @@ const AIResponseSchema = z.object({
actiepunten: z.array(z.string()).max(3),
});
type PeriodValue = '1d' | '3d' | '7d' | '14d';
/**
* Calculate start date based on period
*/
function getPeriodStartDate(period: PeriodValue): string {
const days = { '1d': 1, '3d': 3, '7d': 7, '14d': 14 }[period] || 1;
const startDate = new Date();
startDate.setDate(startDate.getDate() - (days - 1));
return startDate.toISOString().split('T')[0] + 'T00:00:00.000Z';
}
/**
* Load context from database
*/
async function loadOverdrachtContext(
supabase: Awaited<ReturnType<typeof createClient>>,
patientId: string
patientId: string,
period: PeriodValue
): Promise<OverdrachtContext> {
const today = new Date().toISOString().split('T')[0];
const todayStart = `${today}T00:00:00.000Z`;
const last24h = new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString();
const periodStart = getPeriodStartDate(period);
// Parallel queries
// Parallel queries - reports now includes verpleegkundig type
const [
patientResult,
vitalsResult,
reportsResult,
logsResult,
risksResult,
conditionsResult,
] = await Promise.all([
@@ -70,21 +80,17 @@ async function loadOverdrachtContext(
.select('id, code_display, value_quantity_value, value_quantity_unit, interpretation_code, effective_datetime')
.eq('patient_id', patientId)
.eq('category', 'vital-signs')
.gte('effective_datetime', todayStart)
.gte('effective_datetime', periodStart)
.order('effective_datetime', { ascending: false }),
// Reports now includes verpleegkundig type (was nursing_logs)
supabase
.from('reports')
.select('id, type, content, created_at, created_by')
.select('id, type, content, created_at, created_by, structured_data, include_in_handover, shift_date')
.eq('patient_id', patientId)
.gte('created_at', last24h)
.in('type', [...VERPLEEG_REPORT_TYPES])
.gte('created_at', periodStart)
.is('deleted_at', null)
.order('created_at', { ascending: false }),
supabase
.from('nursing_logs')
.select('*')
.eq('patient_id', patientId)
.eq('shift_date', today)
.order('timestamp', { ascending: false }),
supabase
.from('risk_assessments')
.select('id, risk_type, risk_level, rationale, created_at, intakes!inner(patient_id)')
@@ -131,8 +137,10 @@ async function loadOverdrachtContext(
content: r.content,
created_at: r.created_at,
created_by: r.created_by,
structured_data: r.structured_data,
include_in_handover: r.include_in_handover,
shift_date: r.shift_date,
})),
nursingLogs: (logsResult.data || []) as NursingLog[],
risks: (risksResult.data || []).map((r) => ({
id: r.id,
risk_type: r.risk_type,
@@ -218,13 +226,17 @@ async function logAIEvent(
durationMs: number
) {
try {
// Count verpleegkundige reports separately
const verpleegkundigCount = context.reports.filter(r => r.type === 'verpleegkundig').length;
const otherReportsCount = context.reports.filter(r => r.type !== 'verpleegkundig').length;
await supabase.from('ai_events').insert({
kind: 'overdracht_generate',
patient_id: patientId,
input_data: {
vitalCount: context.vitals.length,
reportCount: context.reports.length,
logCount: context.nursingLogs.length,
reportCount: otherReportsCount,
verpleegkundigCount,
riskCount: context.risks.length,
conditionCount: context.conditions.length,
},
@@ -265,7 +277,7 @@ export async function POST(request: NextRequest) {
);
}
const { patientId } = result.data;
const { patientId, period } = result.data;
const supabase = await createClient();
// Check auth
@@ -274,8 +286,8 @@ export async function POST(request: NextRequest) {
return NextResponse.json({ error: 'Niet geautoriseerd' }, { status: 401 });
}
// Load context
const context = await loadOverdrachtContext(supabase, patientId);
// Load context with period filter
const context = await loadOverdrachtContext(supabase, patientId, period);
// Call Claude API
const aiResult = await callClaudeAPI(context);