MojaCares - Intelligent EHR & Clinical Insights Platform

Architected and engineered a comprehensive, full-stack Electronic Health Record (EHR) platform designed to unify patient histories and automate clinical workflows. The system features a responsive frontend clinical dashboard seamlessly integrated with a robust Node.js backend, providing intelligent health insights through automated extraction of unstructured medical documents and longitudinal tracking of patient vitals.

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System Architecture Blueprint for MojaCares - Intelligent EHR & Clinical Insights Platform
MojaCares Clinical Dashboard & Patient Management VERIFIED_ARCH
Architecture
Full-Stack Web App
Infrastructure
Next.js + Node.js + PostgreSQL
Domain
Healthcare / EHR
Storage
AWS S3
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The Challenge

CTX_01

Healthcare providers struggled with fragmented systems, requiring them to manually switch between visualizing real-time patient vitals and reviewing unstructured data from uploaded medical documents like PDF lab reports. This disconnected workflow led to charting delays and obscured long-term health trends.

PHASE_ANALYSIS VERIFIED

The Solution

CTX_02

Engineered a centralized, full-stack platform featuring an intuitive Next.js clinical dashboard. The frontend consumes a secure Node.js REST API that manages relational patient data and interacts with an automated AWS S3 pipeline designed to extract and structure data from raw clinical files.

PHASE_ANALYSIS VERIFIED

The Outcome

CTX_03

Delivered a production-ready application that instantly aggregates vital metrics and generates comprehensive visit summaries. Practitioners now benefit from interactive UI visualizations of patient histories and automated insights, drastically reducing manual data entry.

PHASE_ANALYSIS VERIFIED
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TIER_01
STAGE #1

Frontend & UI Layer

Interactive clinical dashboards and data visualization

// COMPONENTS

Next.js & React

Server-side rendering and complex state management

Tailwind CSS & Shadcn UI

Accessible, responsive, and consistent clinical interfaces

FLOW: INGRESS
TIER_02
STAGE #2

Application & API Layer

Secure, JWT-authenticated backend services

// COMPONENTS

Node.js & TypeScript

Strongly-typed business logic and REST endpoints

Authentication

JWT-based security for practitioner and patient access[cite: 1]

FLOW: TRANSIT
TIER_03
STAGE #3

Data Access Layer

Relational mapping for complex medical histories

// COMPONENTS

Prisma ORM

Type-safe database interactions and migrations[cite: 1]

PostgreSQL

Primary storage for Bookings, PreviousVisits, and HealthInsights[cite: 1]

FLOW: TRANSIT
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STAGE #4

Storage & Document Layer

Secure document handling and intelligent extraction

// COMPONENTS

AWS S3

Secure clinical document storage in specified regional buckets[cite: 1]

Data Parsing

Extraction of clinical metrics from unstructured TXT/PDF reports[cite: 1]

FLOW: STORAGE
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FEATURE_01 • Dashboard Overview

Interactive Clinical Dashboard

A comprehensive React-based UI providing practitioners with an immediate overview of their patient roster, upcoming appointments, and pending lab results through dynamic tables and visual charts.

#Next.js #UI/UX #Dashboard
FEATURE_02 • Vitals Tracking

Longitudinal Vitals Tracking

Dedicated interfaces and backend relational models to track essential physical metrics over time, including blood pressure, blood glucose, and weight, complete with recording timestamps and data sources[cite: 1].

#EHR #Data Visualization #PostgreSQL
FEATURE_03 • Document Extraction

Medical Record Data Extraction

An automated pipeline that processes medical documents uploaded to AWS S3, extracting specific clinical data points—such as hemoglobin levels, visual acuity, and cholesterol—into structured MedicalRecord entries[cite: 1].

#AWS S3 #Data Parsing #Prisma
FEATURE_04 • Visit Summaries

Intelligent Health Insights & Summaries

Backend services that aggregate booking notes, previous visit details, and parsed lab metrics to automatically generate comprehensive visit summaries and actionable health insights for specific patients[cite: 1].

#Analytics #API #Clinical Data
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TELEMETRY_01

Unified

Full-Stack Architecture

TELEMETRY_02

Automated

Lab Data Extraction

TELEMETRY_03

JWT

Secured Authentication

TELEMETRY_04

Dynamic

Vitals Visualization

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Full-Stack State Management

AUDIT_01

Building a responsive clinical dashboard required handling complex, deeply nested patient data objects on the client side without compromising application performance.

// Optimized React Rendering

Leveraged Next.js features and optimized component lifecycles to ensure that data-heavy views, such as longitudinal vitals charts and extensive medical history timelines, render seamlessly.

SEVERITY: HIGH // RESOLVED STATUS: CLOSED

Clinical Data Structuring & Integrity

AUDIT_02

Transitioning unstructured text from medical reports into strictly typed, queryable database fields necessitated a rigid backend design.

// Prisma Schema Relationships

Designed an advanced Prisma schema to enforce strict relational integrity between Patients, Bookings, PreviousVisits, PatientVitals, and extracted MedicalRecords, ensuring reliable historical data tracking[cite: 1].

SEVERITY: MODERATE // OPTIMIZED STATUS: CLOSED

Secure Document Infrastructure

AUDIT_03

Managing the upload and retrieval of sensitive medical files required secure, region-specific cloud storage configurations.

// AWS S3 Integration

Utilized the AWS SDK to programmatically verify bucket locations and manage the secure transit of clinical PDFs and lab reports to isolated cloud storage environments[cite: 1].

SEVERITY: HIGH // RESOLVED STATUS: CLOSED
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TECH_DISPATCH // INSIGHTS

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