プロジェクト概要
対象市場
Patients, verified doctors and healthcare professionals, pharmacies, delivery providers, clinics, laboratories, insurers, healthcare administrators and institutional healthcare stakeholders.
技術上の担当範囲
End-to-end healthcare platform architecture, multi-role product design, clinical workflow modelling, electronic prescription and fulfilment design, records/consent architecture, administration, finance/settlement design, AI research-support architecture and deployment engineering.
課題・機会
Healthcare interactions are often fragmented across consultations, prescriptions, pharmacies, delivery, records and administration. FINE Health is designed to connect these stages into one coordinated digital pathway while keeping qualified healthcare professionals responsible for clinical decisions.
目標
- Connect the Patient → Doctor → Pharmacy → Delivery workflow
- Support remote consultation and professional healthcare profiles
- Digitize prescription creation and pharmacy fulfilment
- Coordinate medication and healthcare delivery
- Provide records, consent and secure communication capabilities
- Give administrators operational, verification, finance and governance controls
- Use AI as a research and decision-support partner for qualified professionals rather than an autonomous clinician
課題・制約
- Healthcare workflows require strong professional verification and role separation
- Clinical data requires privacy, consent, auditability and controlled access
- AI assistance must remain subordinate to qualified human clinical decision-making
- Pharmacy and delivery workflows must preserve prescription and fulfilment traceability
- A multi-party healthcare network needs clear operational and financial settlement boundaries
技術的な取り組み
The living engineering specification defines a central cloud-based, modular, service-oriented and event-driven platform. Separate patient, professional, pharmacy, delivery, records, administration and intelligence capabilities communicate through controlled APIs/events, while AI services are positioned as research/support infrastructure for healthcare professionals.
システム構成
構成の説明
Engineering specification for a central cloud-based, modular and event-driven healthcare ecosystem. Implementation remains in progress and the architecture is presented as the project target rather than a claim that every module is already production-complete.
フロントエンド
Planned patient, doctor/professional, pharmacy, delivery and administrative experiences
バックエンド
Service-oriented healthcare workflows connected through secure APIs and events
データベース
Relational transactional data plus encrypted healthcare documents and records
インフラ
Cloud deployment architecture with observability, audit and security monitoring in the engineering specification
サービス
Consultation, prescriptions, pharmacy fulfilment, delivery, records/consent, finance, analytics and administration
連携
Messaging/video/voice, geospatial services, payments and AI model/retrieval services are part of the documented target architecture
技術上の判断
Use Patient → Doctor → Pharmacy → Delivery as the primary workflow spine
理由： It mirrors the end-to-end healthcare journey the platform is intended to coordinate.
技術上の利点： Product modules can be organized around a clear operational pathway.
Keep healthcare professionals at the centre of clinical decisions
理由： AI output should support research and reasoning rather than replace qualified clinical judgement.
技術上の利点： The AI layer can add capability without redefining professional accountability.
Design the platform as modular services rather than one monolithic interface
理由： Patients, professionals, pharmacies, delivery providers and administrators have distinct responsibilities.
技術上の利点： Capabilities can evolve independently while participating in shared healthcare workflows.
主な機能
- Patient-facing healthcare application shell
- Care-navigation workflows
- Shared versioned API contracts
- Deny-by-default authorization policy primitives
- Tamper-evident audit event primitives
- Correlation-aware health endpoint
- Security header controls
- Supabase integration adapters
- Patient and clinician workflow previews
- Healthcare bounded-context architecture
- Automated lint, type, test and production-build checks
- Connected Patient → Doctor → Pharmacy → Delivery target workflow
課題・対応・成果
Consultation, prescription, pharmacy and delivery can operate as disconnected experiences.
対応： FINE Health is designed around one connected Patient → Doctor → Pharmacy → Delivery pathway.
確認済みの成果： The target platform provides a common workflow model across the healthcare journey.
AI in healthcare can blur responsibility for clinical decisions.
対応： The platform positions AI as a research/support partner and retains qualified professionals as decision-makers.
確認済みの成果： The architecture separates intelligent assistance from clinical accountability.
A healthcare network needs coordinated operational and administrative oversight.
対応： The engineering specification includes verification, finance, complaints, AI governance, incidents, audits, analytics and regulatory-reporting functions in the administration layer.
確認済みの成果： Governance and operations are designed as first-class platform capabilities rather than afterthoughts.
安全性・信頼性
- Engineering specification includes professional identity verification
- Records and consent controls are part of the target architecture
- Auditability and regulatory reporting are specified
- Incident and security monitoring are included in the administration design
- Human clinical oversight remains mandatory for medical decision-making
利用体験
The product is designed as a role-specific connected experience: patients access care and records, professionals consult and prescribe, pharmacies fulfil prescriptions, delivery providers coordinate handoff, and administrators govern the wider network.
技術構成
Frontend
Next.js 16.3.6 · React 19.3 · TypeScript 6.0.3
Platform
Node.js 22+ · Turborepo 2.11
Validation
Zod 4.6.5
Current architecture
TypeScript monorepo · Modular monolith · Explicit bounded contexts
Data and integration
Supabase JavaScript 2.117 · Supabase SSR 0.12.7
現在の状況
Active development — repository implementation available; live clinical workflows remain disabled pending approved identity, tenant, API and integration controls
技術的な知見
The repository deliberately separates implemented platform primitives from future live clinical behaviour. Current patient and clinician workflows are synthetic previews, while authorization, audit, contracts, health checks and modular bounded-context foundations are being built first.
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