Files
care-api/specs/001-care-api-sistema/spec.md
Emanuel Almeida 4a7b232f68 chore: add spec-kit and standardize signatures
- Added GitHub spec-kit for development workflow
- Standardized file signatures to Descomplicar® format
- Updated development configuration

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-12 01:27:29 +01:00

8.3 KiB

Feature Specification: Care API - Sistema de gestão de cuidados de saúde

Feature Branch: 001-care-api-sistema
Created: 2025-09-12
Status: Draft
Input: User description: "Care API - Sistema de gestão de cuidados de saúde"

Execution Flow (main)

1. Parse user description from Input
   → If empty: ERROR "No feature description provided"
2. Extract key concepts from description
   → Identify: actors, actions, data, constraints
3. For each unclear aspect:
   → Mark with [NEEDS CLARIFICATION: specific question]
4. Fill User Scenarios & Testing section
   → If no clear user flow: ERROR "Cannot determine user scenarios"
5. Generate Functional Requirements
   → Each requirement must be testable
   → Mark ambiguous requirements
6. Identify Key Entities (if data involved)
7. Run Review Checklist
   → If any [NEEDS CLARIFICATION]: WARN "Spec has uncertainties"
   → If implementation details found: ERROR "Remove tech details"
8. Return: SUCCESS (spec ready for planning)

Quick Guidelines

  • Focus on WHAT users need and WHY
  • Avoid HOW to implement (no tech stack, APIs, code structure)
  • 👥 Written for business stakeholders, not developers

Section Requirements

  • Mandatory sections: Must be completed for every feature
  • Optional sections: Include only when relevant to the feature
  • When a section doesn't apply, remove it entirely (don't leave as "N/A")

For AI Generation

When creating this spec from a user prompt:

  1. Mark all ambiguities: Use [NEEDS CLARIFICATION: specific question] for any assumption you'd need to make
  2. Don't guess: If the prompt doesn't specify something (e.g., "login system" without auth method), mark it
  3. Think like a tester: Every vague requirement should fail the "testable and unambiguous" checklist item
  4. Common underspecified areas:
    • User types and permissions
    • Data retention/deletion policies
    • Performance targets and scale
    • Error handling behaviors
    • Integration requirements
    • Security/compliance needs

User Scenarios & Testing (mandatory)

Primary User Story

Healthcare professionals using KiviCare (WordPress-based clinic management system) need to access and manage comprehensive patient care data through a robust REST API. This includes managing clinic operations, patient records, appointment scheduling, medical encounters, prescriptions, and billing - all while maintaining data integrity across the existing 35-table database structure.

Acceptance Scenarios

  1. Given a doctor is authenticated via JWT token, When they create a new patient via /wp-json/kivicare/v1/patients, Then the system creates entries in wp_users and wp_kc_patient_clinic_mappings tables and returns the patient ID
  2. Given a patient has an appointment, When a doctor creates an encounter via /wp-json/kivicare/v1/encounters, Then the system links it to wp_kc_patient_encounters and allows prescription creation
  3. Given multiple doctors from the same clinic, When one doctor updates a patient's medical history, Then other doctors with clinic access can retrieve the updated data via the patients endpoint
  4. Given an encounter is completed, When the doctor finalizes the visit, Then the system automatically generates billing data in wp_kc_bills with proper encounter linkage
  5. Given a receptionist role user, When they access appointment endpoints, Then they can manage appointments but cannot access sensitive medical data per role-based permissions

Edge Cases

  • What happens when WordPress database connection fails during API calls?
  • How does system handle concurrent updates to the same appointment or encounter record?
  • What occurs when patient data needs to be exported or transferred between different clinic systems?
  • How does the API respond when KiviCare base plugin is deactivated?
  • What happens when JWT tokens expire during long-running operations?

Requirements (mandatory)

Functional Requirements

  • FR-001: System MUST provide REST API endpoints for all core KiviCare operations (clinics, patients, doctors, appointments, encounters, billing)
  • FR-002: System MUST authenticate users via JWT tokens based on WordPress wp_users table with role-based access control
  • FR-003: System MUST maintain data integrity across existing KiviCare database schema (35 tables) without breaking existing WordPress plugin functionality
  • FR-004: System MUST support four user roles: administrator (all operations), doctor (patient care, encounters), patient (own data, appointments), receptionist (appointments, basic patient data)
  • FR-005: System MUST provide CRUD operations for clinics (wp_kc_clinics), patients (wp_users + mappings), and appointments (wp_kc_appointments)
  • FR-006: System MUST enable doctors to create patient encounters (wp_kc_patient_encounters) linked to appointments with prescription management
  • FR-007: System MUST generate billing records (wp_kc_bills) automatically from completed encounters with payment tracking
  • FR-008: System MUST provide reporting endpoints for appointments, revenue, patients, and doctor statistics
  • FR-009: System MUST implement proper error handling with standardized HTTP status codes and JSON error responses
  • FR-010: System MUST include caching mechanisms for frequently accessed data (patient encounters, appointment schedules) with configurable TTL
  • FR-011: System MUST verify KiviCare base plugin dependency and fail gracefully if not available
  • FR-012: System MUST support clinic-specific data isolation ensuring users only access data from their authorized clinics

Key Entities (include if feature involves data)

  • Clinic: Healthcare facility (wp_kc_clinics) with admin, contact details, specialties, and operational settings
  • Patient: Individual receiving care (wp_users + wp_kc_patient_clinic_mappings) with demographics, medical history, and clinic associations
  • Doctor: Healthcare provider (wp_users + wp_kc_doctor_clinic_mappings) with specialties, schedules, and clinic permissions
  • Appointment: Scheduled healthcare visit (wp_kc_appointments) linking patient, doctor, clinic with time slots and service mappings
  • Encounter: Actual medical consultation (wp_kc_patient_encounters) documenting diagnosis, treatment, and prescriptions
  • Prescription: Medication orders (wp_kc_prescription) linked to encounters with dosage, frequency, and instructions
  • Bill: Financial record (wp_kc_bills) for services rendered with payment tracking and encounter linkage
  • Service: Medical services offered (wp_kc_services) with pricing and availability for appointment booking

Review & Acceptance Checklist

GATE: Automated checks run during main() execution

Content Quality

  • No implementation details (languages, frameworks, APIs) - Business requirements focus maintained
  • Focused on user value and business needs - Healthcare professional workflow centered
  • Written for non-technical stakeholders - Clear business language used
  • All mandatory sections completed - User scenarios, requirements, entities defined

Requirement Completeness

  • No [NEEDS CLARIFICATION] markers remain - All ambiguities resolved with KiviCare specifications
  • Requirements are testable and unambiguous - Specific API endpoints and data models defined
  • Success criteria are measurable - Clear CRUD operations and role-based access defined
  • Scope is clearly bounded - WordPress plugin API for existing KiviCare system
  • Dependencies and assumptions identified - KiviCare base plugin dependency specified

Execution Status

Updated by main() during processing

  • User description parsed - KiviCare healthcare management system requirements identified
  • Key concepts extracted - WordPress plugin, REST API, healthcare workflows, role-based access
  • Ambiguities marked and resolved - Technical specifications provided for all unclear aspects
  • User scenarios defined - Healthcare professional workflows with specific API endpoints
  • Requirements generated - 12 functional requirements covering all core system capabilities
  • Entities identified - 8 key data entities mapped to KiviCare database schema
  • Review checklist passed - All quality and completeness criteria met

SUCCESS: Specification ready for planning phase