{"head":{"title":"Clinica - Multi-Department Clinic Operations Console","description":"Built a multi-department clinic operations console with appointment management, department load tracking, staff performance, resource utilisation and an…","canonical":"https://oceanlab.in/case-studies/clinica"},"study":{"slug":"clinica","industry":"clinics","projectType":"Clinic operations platform","featured":true,"country":"sg","tags":["healthcare","ai","saas","enterprise"],"compliances":["PDPA Singapore","MOH-IM8","HIPAA-aligned","ISO 27001"],"cover":{"src":"/clinica-1.png","width":1440,"height":1524},"gallery":[{"src":"/clinica-1.png","width":1440,"height":1524},{"src":"/clinica-2.png","width":1440,"height":1432}]},"publishedDate":"2026-09-25","contentByLang":{"en":{"client":"Clinica","clientLocation":"Singapore","category":"Healthcare / Clinic Operations","duration":"Phase 1 (14 Weeks)","title":"Clinica - Multi-Department Clinic Operations Console with AI Assistant","tagline":"AI-Native Clinic Operations Platform","description":"Built a multi-department clinic operations console with appointment management, department load tracking, staff performance, resource utilisation and an AI assistant for staff queries - shipped from clickable AI prototype to production in 14 weeks.","scope":"AI Prototyping, UI/UX Design, Development and Delivery","industry":"Healthcare / Clinic Operations","timeline":"14 Weeks","impacts":[{"value":"14 Weeks","label":"Prototype to production","description":"2 weeks scope, 3 weeks clickable AI prototype, 9 weeks production build with EHR integration."},{"value":"5 Departments","label":"Live operations view","description":"General, Cardiology, Paediatrics, Orthopaedics and Obs/Gynae rendered in one workspace."},{"value":"AI Assistant","label":"Smart queries for staff","description":"Built-in AI assistant lets staff query the operations database in natural language."},{"value":"PDPA","label":"Singapore-aligned","description":"Built to PDPA + MOH-IM8 with HIPAA-aligned audit trail and role-based access."}],"problemShort":"Clinica's clinic network was running daily operations through fragmented systems - appointments in one tool, staff scheduling in another, bed occupancy on a wall whiteboard - with no consolidated view for clinic directors or department leads.","solutionShort":"We delivered a single operations console with live appointment volume, department load, staff performance, resource utilisation, and an AI assistant for natural-language queries - validated through a clickable AI prototype before any EHR integration.","challengesHeading":"The Challenge: Operations Across Departments","challengesIntro":"Clinic operations live across appointments, staff, beds, equipment and medication - usually in five different systems. Clinica's directors needed one place to run the day from.","challenges":[{"title":"Fragmented Operations Data","description":"Appointments, staff schedules, bed occupancy and equipment usage lived in separate systems with no shared identity layer. Directors reconciled state by hand each morning."},{"title":"No Real-Time Department Load","description":"Department leads could not see live load, completion rate, or no-show signals during the day - only end-of-day reports. By then it was too late to rebalance."},{"title":"AI Without Clinical Context","description":"Generic chatbots don't understand clinic-specific operations. Staff needed an assistant that knew the schedule, the room, the doctor, and the patient flow."},{"title":"PDPA + MOH-IM8 Compliance","description":"Singapore's MOH-IM8 imposes strict data-handling, audit-trail and access-control requirements on healthcare systems. Every flow had to be PDPA-compliant by default."}],"approachHeading":"Our Approach: 3 Phases in 14 Weeks","approach":[{"number":"01","title":"Discovery & Scope","description":"Weeks 1–2: embedded with Clinica's clinic directors, department leads and operations teams. Mapped every flow - appointment scheduling, staff assignment, resource utilisation, AI assistant queries - across the five clinical departments."},{"number":"02","title":"AI-Driven Clickable Prototype","description":"Weeks 3–5: built a fully interactive prototype with mocked appointments, department load, staff performance and AI assistant responses, so the team could click through every flow before any EHR integration."},{"number":"03","title":"Production Build & Launch","description":"Weeks 6–14: shipped the production console with live appointment volume, department load, staff performance, resource utilisation, an AI assistant trained on operations context, and full PDPA + MOH-IM8 audit trail."}],"whyItWorksHeading":"Why It Works: Outcome-Based Differentiation","whyItWorks":[{"title":"Speed to Value","description":"Most clinic operations platforms take 9–18 months to ship. We delivered a clickable AI prototype in 5 weeks and a production console in 14, with full EHR integration."},{"title":"AI-First Prototyping","description":"Every flow - appointments, staff performance, resource utilisation, AI assistant - was validated in the prototype before any production code touched real patient data."},{"title":"Single Accountable Team","description":"Design, AI prototyping, EHR integration, and front-end engineering under one roof - no handoff between an app studio and a healthcare-IT vendor."},{"title":"Outcome-Based Engagement","description":"Clinica paid for milestones and live operations functionality, not hours. Our incentives were tied directly to shipping a console that directors opened every morning."}]},"es":{"client":"Clinica","clientLocation":"Singapur","category":"Salud / Operaciones Clínicas","duration":"Fase 1 (14 Semanas)","title":"Clinica - Consola Multi-Departamento de Operaciones Clínicas con Asistente IA","tagline":"Plataforma de Operaciones Clínicas AI-Native","description":"Construimos una consola multi-departamento de operaciones clínicas con gestión de citas, seguimiento de carga por departamento, rendimiento de personal, utilización de recursos y un asistente IA - entregada de prototipo a producción en 14 semanas.","scope":"Prototipado con IA, Diseño UI/UX, Desarrollo y Entrega","industry":"Salud / Operaciones Clínicas","timeline":"14 Semanas","impacts":[{"value":"14 Semanas","label":"Prototipo a producción","description":"2 semanas de alcance, 3 semanas de prototipo con IA, 9 semanas de construcción con integración EHR."},{"value":"5 Departamentos","label":"Vista de operaciones en vivo","description":"General, Cardiología, Pediatría, Ortopedia y Obs/Ginecología renderizados en un espacio."},{"value":"Asistente IA","label":"Consultas inteligentes para personal","description":"Asistente IA integrado deja al personal consultar la base de operaciones en lenguaje natural."},{"value":"PDPA","label":"Alineado con Singapur","description":"Construido bajo PDPA + MOH-IM8 con rastro de auditoría alineado con HIPAA y acceso basado en roles."}],"problemShort":"La red de clínicas de Clinica gestionaba operaciones diarias con sistemas fragmentados - citas en una herramienta, programación de personal en otra, ocupación de camas en una pizarra - sin vista consolidada para directores o jefes de departamento.","solutionShort":"Entregamos una única consola de operaciones con volumen de citas en vivo, carga por departamento, rendimiento del personal, utilización de recursos y un asistente IA para consultas en lenguaje natural - validado mediante prototipo clickable con IA antes de cualquier integración EHR.","challengesHeading":"El Desafío: Operaciones Entre Departamentos","challengesIntro":"Las operaciones clínicas viven entre citas, personal, camas, equipos y medicación - usualmente en cinco sistemas distintos. Los directores de Clinica necesitaban un solo lugar.","challenges":[{"title":"Datos de Operaciones Fragmentados","description":"Citas, horarios de personal, ocupación de camas y uso de equipos vivían en sistemas separados sin capa de identidad compartida."},{"title":"Sin Carga de Departamento en Tiempo Real","description":"Los jefes de departamento no podían ver carga, tasa de finalización o señales de no-show durante el día - solo informes al final del día."},{"title":"IA Sin Contexto Clínico","description":"Los chatbots genéricos no entienden operaciones específicas de clínica. El personal necesitaba un asistente que conociera el horario, la sala, el médico y el flujo de pacientes."},{"title":"Cumplimiento PDPA + MOH-IM8","description":"MOH-IM8 de Singapur impone requisitos estrictos de manejo de datos, rastro de auditoría y control de acceso para sistemas sanitarios."}],"approachHeading":"Nuestro Enfoque: 3 Fases en 14 Semanas","approach":[{"number":"01","title":"Descubrimiento y Alcance","description":"Semanas 1–2: integración con directores, jefes de departamento y operaciones de Clinica. Mapeo de cada flujo en los cinco departamentos clínicos."},{"number":"02","title":"Prototipo Clickable con IA","description":"Semanas 3–5: construimos un prototipo totalmente interactivo con citas, carga por departamento, rendimiento y respuestas del asistente IA simuladas."},{"number":"03","title":"Construcción y Lanzamiento","description":"Semanas 6–14: entregamos la consola de producción con volumen de citas en vivo, carga por departamento, rendimiento del personal, utilización de recursos, asistente IA entrenado en contexto operativo y rastro de auditoría PDPA + MOH-IM8 completo."}],"whyItWorksHeading":"Por Qué Funciona: Diferenciación Basada en Resultados","whyItWorks":[{"title":"Velocidad al Valor","description":"La mayoría de plataformas de operaciones clínicas tardan 9–18 meses en producción. Entregamos un prototipo en 5 semanas y una consola de producción en 14, con integración EHR completa."},{"title":"Prototipado AI-First","description":"Cada flujo se validó en el prototipo antes de que cualquier código de producción tocara datos reales de pacientes."},{"title":"Equipo Único Responsable","description":"Diseño, prototipado con IA, integración EHR e ingeniería frontend bajo un mismo techo."},{"title":"Compromiso Basado en Resultados","description":"Clinica pagó por hitos y funcionalidad operativa en vivo, no por horas."}]},"fr":{"client":"Clinica","clientLocation":"Singapour","category":"Santé / Opérations Cliniques","duration":"Phase 1 (14 Semaines)","title":"Clinica - Console Multi-Département d'Opérations Cliniques avec Assistant IA","tagline":"Plateforme d'Opérations Cliniques AI-Native","description":"Console multi-département d'opérations cliniques avec gestion de rendez-vous, suivi de charge par département, performance du staff, utilisation des ressources et assistant IA.","scope":"Prototypage IA, Design UI/UX, Développement et Livraison","industry":"Santé / Opérations Cliniques","timeline":"14 Semaines","impacts":[{"value":"14 Semaines","label":"Prototype à la production","description":"2 semaines de cadrage, 3 semaines de prototype IA, 9 semaines de build avec intégration EHR."},{"value":"5 Départements","label":"Vue opérations live","description":"General, Cardiologie, Pédiatrie, Orthopédie et Obs/Gynéco rendus dans un seul espace."},{"value":"Assistant IA","label":"Smart queries pour staff","description":"Assistant IA intégré permettant au staff d'interroger la base d'opérations en langage naturel."},{"value":"PDPA","label":"Aligné Singapour","description":"Construit selon PDPA + MOH-IM8 avec audit trail aligné HIPAA et accès basé sur rôles."}],"problemShort":"Le réseau clinique de Clinica gérait les opérations quotidiennes via des systèmes fragmentés - pas de vue consolidée pour les directeurs ou chefs de département.","solutionShort":"Une seule console d'opérations avec volume de RDV live, charge par département, performance staff, utilisation des ressources et assistant IA pour requêtes en langage naturel.","challengesHeading":"Le Défi : Opérations Inter-Départements","challengesIntro":"Les opérations cliniques vivent entre RDV, staff, lits, équipements et médication - habituellement dans cinq systèmes différents.","challenges":[{"title":"Données d'Opérations Fragmentées","description":"RDV, plannings staff, occupation lits et usage équipement vivaient dans des systèmes séparés sans couche d'identité partagée."},{"title":"Pas de Charge Département Temps Réel","description":"Les chefs de département ne pouvaient pas voir la charge live, le taux de complétion ou les signaux de no-show pendant la journée."},{"title":"IA Sans Contexte Clinique","description":"Les chatbots génériques ne comprennent pas les opérations spécifiques aux cliniques."},{"title":"Conformité PDPA + MOH-IM8","description":"MOH-IM8 de Singapour impose des exigences strictes de manipulation de données, audit trail et contrôle d'accès."}],"approachHeading":"Notre Approche : 3 Phases en 14 Semaines","approach":[{"number":"01","title":"Découverte et Cadrage","description":"Semaines 1–2 : intégration avec directeurs cliniques, chefs de département et équipes opérations."},{"number":"02","title":"Prototype Cliquable IA","description":"Semaines 3–5 : prototype totalement interactif avec RDV, charge, performance staff et réponses de l'assistant IA simulés."},{"number":"03","title":"Build & Lancement","description":"Semaines 6–14 : console de production avec volume de RDV live, charge par département, performance staff, utilisation des ressources, assistant IA et audit trail PDPA + MOH-IM8 complet."}],"whyItWorksHeading":"Pourquoi Ça Marche : Différenciation par Résultats","whyItWorks":[{"title":"Vitesse de Valeur","description":"La plupart des plateformes d'opérations cliniques prennent 9–18 mois. Prototype en 5 semaines, console de production en 14, intégration EHR complète."},{"title":"Prototypage AI-First","description":"Chaque flux validé dans le prototype avant tout code de production sur de vraies données patient."},{"title":"Équipe Unique Responsable","description":"Design, prototypage IA, intégration EHR et ingénierie front-end sous un même toit."},{"title":"Engagement Basé sur les Résultats","description":"Clinica a payé pour des jalons et de la fonctionnalité opérationnelle live."}]},"de":{"client":"Clinica","clientLocation":"Singapur","category":"Gesundheit / Klinik-Operations","duration":"Phase 1 (14 Wochen)","title":"Clinica - Multi-Departement-Klinik-Operations-Konsole mit KI-Assistant","tagline":"AI-Native Klinik-Operations-Plattform","description":"Multi-Departement-Klinik-Operations-Konsole mit Termin-Management, Departement-Last-Tracking, Personal-Performance, Ressourcen-Auslastung und KI-Assistant für Personal-Anfragen.","scope":"KI-Prototyping, UI/UX-Design, Entwicklung und Lieferung","industry":"Gesundheit / Klinik-Operations","timeline":"14 Wochen","impacts":[{"value":"14 Wochen","label":"Prototyp bis Produktion","description":"2 Wochen Scoping, 3 Wochen KI-Prototyp, 9 Wochen Production Build mit EHR-Integration."},{"value":"5 Departements","label":"Live-Operations-Sicht","description":"Allgemein, Kardiologie, Pädiatrie, Orthopädie und Gynäkologie in einem Workspace gerendert."},{"value":"KI-Assistant","label":"Smart-Queries für Personal","description":"Eingebauter KI-Assistant erlaubt Personal Operations-DB in natürlicher Sprache abzufragen."},{"value":"PDPA","label":"Singapur-konform","description":"Gebaut nach PDPA + MOH-IM8 mit HIPAA-konformem Audit-Trail und rollenbasiertem Zugriff."}],"problemShort":"Clinicas Klinik-Netzwerk lief tägliche Operationen über fragmentierte Systeme - Termine in einem Tool, Personal-Scheduling in einem anderen, Bett-Belegung auf einem Whiteboard.","solutionShort":"Eine einzige Operations-Konsole mit Live-Termin-Volumen, Departement-Last, Personal-Performance, Ressourcen-Auslastung und KI-Assistant für natürlichsprachliche Abfragen.","challengesHeading":"Die Herausforderung: Operations über Departements hinweg","challengesIntro":"Klinik-Operations leben über Termine, Personal, Betten, Ausrüstung und Medikamente - meist in fünf verschiedenen Systemen.","challenges":[{"title":"Fragmentierte Operations-Daten","description":"Termine, Personal-Pläne, Bett-Belegung und Ausrüstungs-Nutzung lebten in separaten Systemen ohne geteilte Identitätsschicht."},{"title":"Keine Echtzeit-Departement-Last","description":"Departement-Leiter konnten Live-Last, Abschlussrate oder No-Show-Signale tagsüber nicht sehen."},{"title":"KI ohne klinischen Kontext","description":"Generische Chatbots verstehen klinik-spezifische Operations nicht."},{"title":"PDPA + MOH-IM8-Compliance","description":"Singapurs MOH-IM8 stellt strikte Datenhandling-, Audit-Trail- und Zugriffskontroll-Anforderungen."}],"approachHeading":"Unser Ansatz: 3 Phasen in 14 Wochen","approach":[{"number":"01","title":"Discovery & Scoping","description":"Wochen 1–2: eingebettet mit Klinik-Direktoren, Departement-Leitern und Operations-Teams."},{"number":"02","title":"KI-Klickprototyp","description":"Wochen 3–5: voll interaktiver Prototyp mit gemockten Terminen, Departement-Last, Personal-Performance und KI-Assistant-Antworten."},{"number":"03","title":"Build & Launch","description":"Wochen 6–14: Produktionskonsole mit Live-Termin-Volumen, Departement-Last, Personal-Performance, Ressourcen-Auslastung, KI-Assistant und vollständigem PDPA + MOH-IM8 Audit-Trail."}],"whyItWorksHeading":"Warum es funktioniert: Ergebnisbasierte Differenzierung","whyItWorks":[{"title":"Time-to-Value","description":"Die meisten Klinik-Operations-Plattformen brauchen 9–18 Monate. KI-Prototyp in 5 Wochen, Produktionskonsole in 14, mit voller EHR-Integration."},{"title":"AI-First Prototyping","description":"Jeder Flow im Prototyp validiert, bevor jeglicher Production-Code echte Patientendaten berührte."},{"title":"Ein verantwortliches Team","description":"Design, KI-Prototyping, EHR-Integration und Front-End-Engineering unter einem Dach."},{"title":"Ergebnisbasiertes Engagement","description":"Clinica zahlte für Meilensteine und Live-Operations-Funktionalität."}]},"ru":{"client":"Clinica","clientLocation":"Сингапур","category":"Здравоохранение / Клинические Операции","duration":"Фаза 1 (14 Недель)","title":"Clinica - Мульти-Департаментная Консоль Клинических Операций с AI-Ассистентом","tagline":"AI-Native Платформа Клинических Операций","description":"Мульти-департаментная консоль клинических операций с управлением приёмами, отслеживанием нагрузки по департаментам, производительностью персонала, использованием ресурсов и AI-ассистентом.","scope":"AI-прототипирование, UI/UX-дизайн, Разработка и Внедрение","industry":"Здравоохранение / Клинические Операции","timeline":"14 Недель","impacts":[{"value":"14 Недель","label":"Прототип в продакшен","description":"2 недели scope, 3 недели AI-прототипа, 9 недель сборки с EHR-интеграцией."},{"value":"5 Департаментов","label":"Live-вид операций","description":"Терапия, Кардиология, Педиатрия, Ортопедия и Акушерство в одном пространстве."},{"value":"AI-Ассистент","label":"Smart-запросы для персонала","description":"Встроенный AI-ассистент позволяет персоналу запрашивать БД операций на естественном языке."},{"value":"PDPA","label":"Сингапур-конформный","description":"Построен по PDPA + MOH-IM8 с HIPAA-aligned audit-trail."}],"problemShort":"Клиническая сеть Clinica запускала ежедневные операции через фрагментированные системы - записи в одном инструменте, расписание персонала в другом.","solutionShort":"Одна консоль операций с live-объёмом приёмов, нагрузкой по департаментам, производительностью персонала, использованием ресурсов и AI-ассистентом для запросов на естественном языке.","challengesHeading":"Вызов: Операции Между Департаментами","challengesIntro":"Клинические операции живут между приёмами, персоналом, койками, оборудованием и медикаментами - обычно в пяти разных системах.","challenges":[{"title":"Фрагментированные Данные Операций","description":"Приёмы, расписание персонала, занятость коек и использование оборудования жили в отдельных системах."},{"title":"Нет Real-Time Нагрузки Департамента","description":"Главы департаментов не могли видеть live-нагрузку и сигналы no-show в течение дня."},{"title":"ИИ Без Клинического Контекста","description":"Универсальные чатботы не понимают специфики клинических операций."},{"title":"PDPA + MOH-IM8 Соответствие","description":"MOH-IM8 Сингапура накладывает строгие требования к обращению с данными и контролю доступа."}],"approachHeading":"Наш Подход: 3 Фазы за 14 Недель","approach":[{"number":"01","title":"Discovery и Scoping","description":"Недели 1–2: погружение с директорами клиник, главами департаментов и операционными командами."},{"number":"02","title":"Кликабельный AI-Прототип","description":"Недели 3–5: полностью интерактивный прототип с замоканными приёмами, нагрузкой и ответами AI-ассистента."},{"number":"03","title":"Сборка и Запуск","description":"Недели 6–14: продакшен-консоль с live-объёмом приёмов, AI-ассистентом и полным PDPA + MOH-IM8 audit-trail."}],"whyItWorksHeading":"Почему Это Работает: Дифференциация по Результатам","whyItWorks":[{"title":"Скорость к Ценности","description":"Большинство платформ клинических операций занимают 9–18 месяцев. AI-прототип за 5 недель, продакшен за 14, с полной EHR-интеграцией."},{"title":"AI-First Прототипирование","description":"Каждый поток проверен в прототипе до того как любой продакшен-код коснулся реальных пациентских данных."},{"title":"Одна Ответственная Команда","description":"Дизайн, AI-прототипирование, EHR-интеграция и фронтенд под одной крышей."},{"title":"Ангажемент по Результатам","description":"Clinica платил за вехи и live-операционную функциональность."}]},"nl":{"client":"Clinica","clientLocation":"Singapore","category":"Gezondheidszorg / Klinische Operaties","duration":"Fase 1 (14 Weken)","title":"Clinica - Multi-Departement Klinische Operations Console met AI-Assistent","tagline":"AI-Native Klinische Operations Platform","description":"Multi-departement klinische operations console met afspraakbeheer, departementsbelasting tracking, personeelprestaties, resourcegebruik en AI-assistent voor personeelsvragen.","scope":"AI-Prototyping, UI/UX-Ontwerp, Ontwikkeling en Levering","industry":"Gezondheidszorg / Klinische Operaties","timeline":"14 Weken","impacts":[{"value":"14 Weken","label":"Prototype tot productie","description":"2 weken scope, 3 weken AI-prototype, 9 weken productie-build met EHR-integratie."},{"value":"5 Departementen","label":"Live operations weergave","description":"Algemeen, Cardiologie, Pediatrie, Orthopedie en Obs/Gynae gerenderd in één werkruimte."},{"value":"AI-Assistent","label":"Smart queries voor personeel","description":"Ingebouwde AI-assistent laat personeel operations database in natuurlijke taal bevragen."},{"value":"PDPA","label":"Singapore-conform","description":"Gebouwd volgens PDPA + MOH-IM8 met HIPAA-conform audit-trail."}],"problemShort":"Clinica's klinieknetwerk runde dagelijkse operaties via gefragmenteerde systemen - afspraken in één tool, personeelplanning in een andere.","solutionShort":"Eén operations console met live afspraakvolume, departementsbelasting, personeelprestaties, resourcegebruik en AI-assistent voor natuurlijke-taal queries.","challengesHeading":"De Uitdaging: Operaties Tussen Departementen","challengesIntro":"Klinische operaties leven over afspraken, personeel, bedden, apparatuur en medicatie - meestal in vijf verschillende systemen.","challenges":[{"title":"Gefragmenteerde Operations Data","description":"Afspraken, personeelroosters, bedbezetting en apparatuurgebruik leefden in losse systemen zonder gedeelde identiteitslaag."},{"title":"Geen Real-Time Departement-Belasting","description":"Departementshoofden konden geen live belasting of no-show signalen tijdens de dag zien."},{"title":"AI Zonder Klinische Context","description":"Generieke chatbots begrijpen kliniek-specifieke operaties niet."},{"title":"PDPA + MOH-IM8 Compliance","description":"Singapore's MOH-IM8 stelt strenge data-handling, audit-trail en toegangscontrole eisen."}],"approachHeading":"Onze Aanpak: 3 Fases in 14 Weken","approach":[{"number":"01","title":"Discovery & Scoping","description":"Weken 1–2: ingebed met Clinica kliniekdirecteurs, departementshoofden en operations-teams."},{"number":"02","title":"Klikbaar AI-Prototype","description":"Weken 3–5: volledig interactief prototype met gemockte afspraken, departementsbelasting en AI-assistent responses."},{"number":"03","title":"Build & Lancering","description":"Weken 6–14: productieconsole met live afspraakvolume, AI-assistent en volledig PDPA + MOH-IM8 audit-trail."}],"whyItWorksHeading":"Waarom Het Werkt: Resultaatgerichte Differentiatie","whyItWorks":[{"title":"Snelheid naar Waarde","description":"De meeste klinische operations platforms duren 9–18 maanden. AI-prototype in 5 weken, productieconsole in 14, met volledige EHR-integratie."},{"title":"AI-First Prototyping","description":"Elke flow gevalideerd in het prototype voor enige productiecode op echte patiëntdata."},{"title":"Eén Verantwoordelijk Team","description":"Ontwerp, AI-prototyping, EHR-integratie en front-end engineering onder één dak."},{"title":"Resultaatgericht Engagement","description":"Clinica betaalde voor mijlpalen en live operations-functionaliteit."}]},"ja":{"client":"Clinica","clientLocation":"シンガポール","category":"ヘルスケア / 臨床業務","duration":"フェーズ1(14週間)","title":"Clinica - AIアシスタント付きマルチ部門臨床業務コンソール","tagline":"AI-Native臨床業務プラットフォーム","description":"予約管理、部門負荷追跡、スタッフパフォーマンス、リソース利用、スタッフクエリ用AIアシスタントを備えたマルチ部門臨床業務コンソール。","scope":"AIプロトタイピング、UI/UXデザイン、開発、納品","industry":"ヘルスケア / 臨床業務","timeline":"14週間","impacts":[{"value":"14週間","label":"プロトタイプから本番へ","description":"2週間スコープ、3週間AIプロトタイプ、9週間EHR統合付き本番構築。"},{"value":"5部門","label":"ライブ業務ビュー","description":"一般、循環器、小児科、整形外科、産婦人科を1つのワークスペースでレンダリング。"},{"value":"AIアシスタント","label":"スタッフ向けスマートクエリ","description":"組み込みAIアシスタントによりスタッフが自然言語で業務データベースをクエリ可能。"},{"value":"PDPA","label":"シンガポール準拠","description":"PDPA + MOH-IM8、HIPAA準拠監査証跡、ロールベースアクセスで構築。"}],"problemShort":"Clinicaのクリニックネットワークは断片化したシステムで日々の業務を実行 - 1つのツールで予約、別のツールでスタッフスケジューリング。","solutionShort":"ライブ予約量、部門負荷、スタッフパフォーマンス、リソース利用、自然言語クエリ用AIアシスタント付き単一業務コンソール。","challengesHeading":"課題:部門間の業務","challengesIntro":"臨床業務は予約、スタッフ、ベッド、機器、医薬品にまたがって存在 - 通常5つの異なるシステムで。","challenges":[{"title":"断片化した業務データ","description":"予約、スタッフスケジュール、ベッド占有、機器使用は共有アイデンティティ層なしに別々のシステムに存在。"},{"title":"リアルタイム部門負荷なし","description":"部門責任者は1日中ライブ負荷、完了率、ノーショーシグナルを見ることができなかった。"},{"title":"臨床コンテキストのないAI","description":"汎用チャットボットはクリニック固有の業務を理解しない。"},{"title":"PDPA + MOH-IM8コンプライアンス","description":"シンガポールのMOH-IM8はヘルスケアシステムに厳格なデータ取り扱い、監査証跡、アクセス制御要件を課す。"}],"approachHeading":"アプローチ:14週間で3フェーズ","approach":[{"number":"01","title":"ディスカバリーとスコーピング","description":"1-2週目:Clinicaのクリニック責任者、部門責任者、業務チームに組み込み。"},{"number":"02","title":"AI駆動クリック可能プロトタイプ","description":"3-5週目:モックされた予約、部門負荷、スタッフパフォーマンス、AIアシスタント応答付き完全インタラクティブプロトタイプ。"},{"number":"03","title":"本番構築と立ち上げ","description":"6-14週目:ライブ予約量、AIアシスタント、完全PDPA + MOH-IM8監査証跡付き本番コンソール。"}],"whyItWorksHeading":"成功理由:結果ベースの差別化","whyItWorks":[{"title":"価値実現の速さ","description":"ほとんどの臨床業務プラットフォームは9-18ヶ月。AIプロトタイプを5週間、本番コンソールを14週間で完全EHR統合付き。"},{"title":"AI-Firstプロトタイピング","description":"本番コードが実際の患者データに触れる前に各フローをプロトタイプで検証。"},{"title":"単一の責任チーム","description":"デザイン、AIプロトタイピング、EHR統合、フロントエンドエンジニアリングを一つ屋根の下で。"},{"title":"結果ベースのエンゲージメント","description":"Clinicaはマイルストーンとライブ業務機能に対して支払った。"}]},"ko":{"client":"Clinica","clientLocation":"싱가포르","category":"헬스케어 / 임상 운영","duration":"1단계 (14주)","title":"Clinica - AI 어시스턴트 포함 다부서 임상 운영 콘솔","tagline":"AI-Native 임상 운영 플랫폼","description":"예약 관리, 부서별 부하 추적, 직원 성과, 리소스 활용, 직원 쿼리용 AI 어시스턴트를 갖춘 다부서 임상 운영 콘솔.","scope":"AI 프로토타이핑, UI/UX 디자인, 개발 및 납품","industry":"헬스케어 / 임상 운영","timeline":"14주","impacts":[{"value":"14주","label":"프로토타입에서 프로덕션","description":"2주 범위, 3주 AI 프로토타입, 9주 EHR 통합 프로덕션 빌드."},{"value":"5개 부서","label":"라이브 운영 보기","description":"일반의학, 심장학, 소아과, 정형외과, 산부인과를 한 워크스페이스에서 렌더링."},{"value":"AI 어시스턴트","label":"직원용 스마트 쿼리","description":"내장 AI 어시스턴트가 직원이 운영 데이터베이스를 자연어로 쿼리할 수 있게 함."},{"value":"PDPA","label":"싱가포르 정렬","description":"PDPA + MOH-IM8, HIPAA 정렬 감사 추적, 역할 기반 액세스로 구축."}],"problemShort":"Clinica의 클리닉 네트워크는 분절된 시스템에서 일일 운영을 실행 - 한 도구의 예약, 다른 도구의 직원 스케줄링.","solutionShort":"라이브 예약 볼륨, 부서별 부하, 직원 성과, 리소스 활용, 자연어 쿼리용 AI 어시스턴트가 있는 단일 운영 콘솔.","challengesHeading":"도전 과제: 부서 간 운영","challengesIntro":"임상 운영은 예약, 직원, 침대, 장비, 약물에 걸쳐 존재 - 보통 5개의 다른 시스템에서.","challenges":[{"title":"분절된 운영 데이터","description":"예약, 직원 일정, 침대 점유, 장비 사용은 공유 신원 계층 없이 별도 시스템에 존재."},{"title":"실시간 부서 부하 없음","description":"부서장은 하루 동안 라이브 부하, 완료율, 노쇼 신호를 볼 수 없었다."},{"title":"임상 컨텍스트 없는 AI","description":"일반 챗봇은 클리닉 특정 운영을 이해하지 못함."},{"title":"PDPA + MOH-IM8 컴플라이언스","description":"싱가포르의 MOH-IM8은 헬스케어 시스템에 엄격한 데이터 처리, 감사 추적, 액세스 제어 요구 사항을 부과."}],"approachHeading":"접근 방식: 14주 동안 3단계","approach":[{"number":"01","title":"디스커버리 및 스코핑","description":"1-2주차: Clinica 클리닉 디렉터, 부서장, 운영 팀에 내장."},{"number":"02","title":"AI 기반 클릭 가능 프로토타입","description":"3-5주차: 모킹된 예약, 부서 부하, 직원 성과, AI 어시스턴트 응답이 있는 완전 인터랙티브 프로토타입."},{"number":"03","title":"프로덕션 빌드 및 출시","description":"6-14주차: 라이브 예약 볼륨, AI 어시스턴트, 완전한 PDPA + MOH-IM8 감사 추적 포함 프로덕션 콘솔."}],"whyItWorksHeading":"작동 이유: 결과 기반 차별화","whyItWorks":[{"title":"가치 실현 속도","description":"대부분의 임상 운영 플랫폼은 9-18개월. AI 프로토타입을 5주, 프로덕션 콘솔을 14주에 완전한 EHR 통합 포함."},{"title":"AI-First 프로토타이핑","description":"프로덕션 코드가 실제 환자 데이터에 닿기 전 모든 흐름을 프로토타입에서 검증."},{"title":"단일 책임 팀","description":"디자인, AI 프로토타이핑, EHR 통합, 프론트엔드 엔지니어링을 한 지붕 아래에서."},{"title":"결과 기반 계약","description":"Clinica는 마일스톤과 라이브 운영 기능에 대해 지불."}]},"el":{"client":"Clinica","clientLocation":"Σιγκαπούρη","category":"Υγειονομική Περίθαλψη / Κλινικές Λειτουργίες","duration":"Φάση 1 (14 Εβδομάδες)","title":"Clinica - Κονσόλα Πολλαπλών Τμημάτων Κλινικών Λειτουργιών με AI Assistant","tagline":"AI-Native Πλατφόρμα Κλινικών Λειτουργιών","description":"Κονσόλα πολλαπλών τμημάτων κλινικών λειτουργιών με διαχείριση ραντεβού.","scope":"AI Πρωτοτύπωση, UI/UX Σχεδιασμός, Ανάπτυξη και Παράδοση","industry":"Υγειονομική Περίθαλψη / Κλινικές Λειτουργίες","timeline":"14 Εβδομάδες","impacts":[{"value":"14 Εβδομάδες","label":"Πρωτότυπο προς παραγωγή","description":"2 εβδομάδες scope, 3 εβδομάδες AI-πρωτότυπο, 9 εβδομάδες παραγωγή."},{"value":"5 Τμήματα","label":"Live άποψη λειτουργιών","description":"Γενικά, Καρδιολογία, Παιδιατρική, Ορθοπεδική και Μαιευτική σε έναν χώρο εργασίας."},{"value":"AI Assistant","label":"Smart queries για προσωπικό","description":"Ενσωματωμένος AI assistant επιτρέπει στο προσωπικό να ρωτά τη βάση δεδομένων σε φυσική γλώσσα."},{"value":"PDPA","label":"Σιγκαπούρη-ευθυγραμμισμένο","description":"Χτίστηκε σύμφωνα με PDPA + MOH-IM8."}],"problemShort":"Το δίκτυο κλινικών της Clinica εκτελούσε καθημερινές λειτουργίες μέσω κατακερματισμένων συστημάτων.","solutionShort":"Μία κονσόλα λειτουργιών με live όγκο ραντεβού, φόρτο τμήματος, απόδοση προσωπικού.","challengesHeading":"Η Πρόκληση: Λειτουργίες Μεταξύ Τμημάτων","challengesIntro":"Οι κλινικές λειτουργίες ζουν μεταξύ ραντεβού, προσωπικού, κρεβατιών, εξοπλισμού και φαρμακευτικής αγωγής.","challenges":[{"title":"Κατακερματισμένα Δεδομένα Λειτουργιών","description":"Ραντεβού, προγράμματα προσωπικού, κατάληψη κρεβατιών ζούσαν σε ξεχωριστά συστήματα."},{"title":"Καμία Real-Time Φόρτωση Τμήματος","description":"Οι επικεφαλείς τμημάτων δεν μπορούσαν να δουν live φόρτο κατά τη διάρκεια της ημέρας."},{"title":"AI Χωρίς Κλινικό Πλαίσιο","description":"Τα γενικά chatbots δεν κατανοούν τις λειτουργίες κλινικής."},{"title":"Συμμόρφωση PDPA + MOH-IM8","description":"Το MOH-IM8 της Σιγκαπούρης επιβάλλει αυστηρές απαιτήσεις."}],"approachHeading":"Η Προσέγγισή μας: 3 Φάσεις σε 14 Εβδομάδες","approach":[{"number":"01","title":"Ανακάλυψη και Scoping","description":"Εβδομάδες 1-2: ενσωματωμένοι με τους διευθυντές κλινικών της Clinica."},{"number":"02","title":"AI Κλικαβλέ Πρωτότυπο","description":"Εβδομάδες 3-5: πλήρως διαδραστικό πρωτότυπο."},{"number":"03","title":"Παραγωγή και Εκκίνηση","description":"Εβδομάδες 6-14: κονσόλα παραγωγής με live όγκο ραντεβού και AI assistant."}],"whyItWorksHeading":"Γιατί Λειτουργεί: Διαφοροποίηση Βάσει Αποτελεσμάτων","whyItWorks":[{"title":"Ταχύτητα στην Αξία","description":"Οι περισσότερες πλατφόρμες κλινικών λειτουργιών παίρνουν 9-18 μήνες."},{"title":"AI-First Πρωτοτύπωση","description":"Κάθε ροή επικυρώθηκε στο πρωτότυπο."},{"title":"Μία Υπεύθυνη Ομάδα","description":"Σχεδιασμός, AI πρωτοτύπωση, EHR ενσωμάτωση κάτω από μία στέγη."},{"title":"Δέσμευση Βάσει Αποτελεσμάτων","description":"Η Clinica πλήρωσε για ορόσημα."}]}},"others":[{"meta":{"slug":"lyrebird","industry":"clinics","projectType":"Patient intake & scheduling","country":"au","tags":["healthcare","enterprise"],"compliances":["Privacy Act 1988 and APPs","Notifiable Data Breaches scheme","Spam Act 2003","Medicare telehealth eligibility rules","Health Practitioner Regulation National Law (advertising)","WCAG 2.1 AA"],"cover":{"src":"/case-studies/lyrebird/01-home.png","width":1440,"height":1000}},"text":{"en":{"title":"Lyrebird - Patient Booking and Intake Platform with Clinician-Routed Risk Flags","description":"Designed and built a clickable booking and intake platform for a group of GP, physiotherapy and psychology clinics in regional Victoria and southern NSW: a day calendar by practitioner or room, pre-visit forms reviewed before the visit, and a clinician-only queue that puts every risk answer in front of a clinician against a response target.","category":"Healthcare / Patient Intake & Scheduling","client":"Saltbush Health Group"}}},{"meta":{"slug":"loupe","industry":"clinics","projectType":"Specialty EHR","country":"us","tags":["healthcare","enterprise","ai"],"compliances":["HIPAA","21st Century Cures Act","ONC certification (FHIR R4, US Core)","DEA EPCS","FTC Eyeglass Rule","FTC Contact Lens Rule","ICD-10-CM and CPT","CMS MIPS","DICOM"],"cover":{"src":"/case-studies/loupe/01-home.png","width":1440,"height":1000}},"text":{"en":{"title":"Loupe - Ophthalmology EHR with Per-Eye Charting and Laterality-Aware Coding","description":"Designed and built a clickable ophthalmology EHR for a US eye care group with seven clinics: a clinician's day at a glance, a live patient flow board with dilation timers, patient search with break-the-glass access, a chart summary with right-eye and left-eye findings side by side, and a structured exam workspace per eye.","category":"Healthcare / Specialty EHR","client":"Cedar Hollow Eye Associates"}}},{"meta":{"slug":"berth","industry":"clinics","projectType":"Bed & capacity management","country":"gb","tags":["healthcare","enterprise"],"compliances":["NHS OPEL framework","NHS same-sex accommodation","DCB0129","DCB0160","DSPT","UK GDPR","Data Protection Act 2018","HL7 v2 ADT"],"cover":{"src":"/case-studies/berth/01-home.png","width":1440,"height":1000}},"text":{"en":{"title":"Berth - Live Bed Board and Patient Flow for a Two-Site NHS Hospital Trust","description":"Designed and built a clickable bed and capacity management system for a two-site NHS acute trust: a command centre with the day's bed balance, a live bed board for every ward and bay, a bed request queue that suggests safe beds with reasons, and a cleaning board that turns dirty beds around for the patients waiting on them.","category":"Healthcare / Bed & Capacity Management","client":"Calderwick and Pellbrook Hospitals NHS Foundation Trust"}}},{"meta":{"slug":"baken","industry":"clinics","projectType":"Lab results portal","country":"nl","tags":["healthcare","enterprise"],"compliances":["GDPR (AVG) and UAVG","WGBO","Wabvpz","Wegiz","Wbsn-z","NEN 7510","NEN 7512","NEN 7513","ISO 15189","MedMij"],"cover":{"src":"/case-studies/baken/01-home.png","width":1440,"height":1000}},"text":{"en":{"title":"Baken - Lab Results Portal with Critical Value Calls and Read-Back","description":"Designed and built a clickable lab console for an ISO 15189 accredited laboratory in Zuid-Holland: follow every order and sample from collection to storage, read validated results with flags, EUCAST susceptibility and release state, and phone critical values against a deadline with a logged call chain and a read-back check.","category":"Healthcare / Lab Results Portal","client":"Duinhof Medisch Laboratorium"}}},{"meta":{"slug":"watchbill","industry":"clinics","projectType":"Staff rostering","country":"ca","tags":["healthcare","enterprise"],"compliances":["ESA 2000 (Ontario)","OHSA (Ontario)","FIPPA (Ontario)","PHIPA","CNO registration","French Language Services Act"],"cover":{"src":"/case-studies/watchbill/01-home.png","width":1440,"height":1000}},"text":{"en":{"title":"Watchbill - Staff Rostering and Call-Out Platform for Unionised Hospital Staff","description":"Designed and built a clickable rostering platform for a 260-bed Ontario community hospital: 6-week unit schedules checked against collective agreement rules, a live staffing board for today, sick calls filled in agreement call-out order, and a requests inbox that checks every swap before it is approved.","category":"Healthcare / Staff Rostering","client":"Tamarack Bend Community Hospital"}}}]}