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How to build Medical records app with Lovable?

Learn step-by-step how to build a secure Medical Records App with Lovable. Discover best practices, integration tips, and compliance essentials for transforming healthcare.

Matt Graham, CEO of Rapid Developers

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How to build Medical records app with Lovable?

 
Initializing the Lovable Medical Records Project
 

  • Log into Lovable and create a new project titled "Medical Records App".
  • Create the following files in your project root:
    • index.html – will serve as your frontend.
    • app.js – will contain your backend logic.
    • package.json – will define your project’s dependencies.

 
Configuring Dependencies
 

  • Since Lovable does not have a terminal, you will add dependencies manually by editing the package.json file.
  • Open or create the package.json file in your project root and paste the following content:

{
  "name": "medical-records-app",
  "version": "1.0.0",
  "description": "A Medical Records Application built with Lovable",
  "main": "app.js",
  "dependencies": {
    "express": "^4.18.2",
    "body-parser": "^1.20.1"
  },
  "scripts": {
    "start": "node app.js"
  }
}
  • This configuration tells Lovable to install the Express framework and body-parser middleware when the project runs.

 
Designing the Frontend UI
 

  • Open the index.html file in your Lovable project.
  • Add the following code snippet to establish a basic user interface for displaying medical records. Insert this code into index.html:




  
  Medical Records App
  


  

Medical Records

  • This file serves as the entry point for your app and displays medical records fetched from your backend.

 
Developing the Backend Server
 

  • Open the app.js file in your project root.
  • Insert the following code into app.js to set up a basic Express server, define API endpoints, and simulate a database with an in-memory array:

const express = require('express');
const bodyParser = require('body-parser');
const app = express();

// Middleware to parse JSON bodies
app.use(bodyParser.json());

// In-memory database simulation for medical records
let records = [
  { id: 1, patientName: 'John Doe', diagnosis: 'Flu' },
  { id: 2, patientName: 'Jane Smith', diagnosis: 'Cold' }
];

// Endpoint to retrieve all medical records
app.get('/records', (req, res) => {
  res.json(records);
});

// Endpoint to add a new medical record
app.post('/records', (req, res) => {
  const newRecord = {
    id: records.length + 1,
    patientName: req.body.patientName,
    diagnosis: req.body.diagnosis
  };
  records.push(newRecord);
  res.status(201).json(newRecord);
});

// Start the Express server
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
  console.log('Medical Records App is running on port ' + PORT);
});
  • This backend code sets up two endpoints:
    • GET /records – returns all medical records.
    • POST /records – allows adding a new record.
  • The in-memory records array acts as your temporary database.

 
Integrating the Frontend with the Backend
 

  • The fetch call in your index.html file automatically requests data from the /records endpoint defined in app.js.
  • No extra integration code is required since Lovable will serve both static files and your backend from the same project.

 
Testing Your Application
 

  • Click the "Run" button in your Lovable interface to start the application.
  • Lovable will use the defined package.json to install dependencies and run the Express server in app.js.
  • Open the generated URL in your browser to view the Medical Records App and verify that the list of records is displayed.
  • To test adding a new record, you can use Lovable’s built-in API testing tools or extend the frontend with a form to send a POST request to /records.

 
Enhancing Functionality
 

  • To allow users to add new records via the UI, extend index.html by adding an HTML form and JavaScript to send a POST request.
  • If desired, create a new file (e.g., style.css) and link it in index.html to further style your application.

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How to Build a Medical Records API with Lovable Using Express and MongoDB


const express = require('express');
const bodyParser = require('body-parser');
const mongoose = require('mongoose');

mongoose.connect('mongodb://localhost:27017/lovable_medical_records', {
  useNewUrlParser: true,
  useUnifiedTopology: true
});

const patientSchema = new mongoose.Schema({
  firstName: String,
  lastName: String,
  dob: Date,
  medicalHistory: [{
    date: Date,
    description: String,
    doctor: String,
    notes: String
  }],
  createdAt: { type: Date, default: Date.now }
});

const Patient = mongoose.model('Patient', patientSchema);

const app = express();
app.use(bodyParser.json());

app.post('/api/patients', async (req, res) => {
  try {
    const newPatient = new Patient(req.body);
    await newPatient.save();
    res.status(201).json(newPatient);
  } catch (error) {
    res.status(500).json({ error: error.message });
  }
});

app.get('/api/patients/:id', async (req, res) => {
  try {
    const patient = await Patient.findById(req.params.id);
    if (!patient) {
      return res.status(404).json({ error: 'Patient not found' });
    }
    patient.medicalHistory.sort((a, b) => b.date - a.date);
    res.json(patient);
  } catch (error) {
    res.status(500).json({ error: error.message });
  }
});

app.put('/api/patients/:id/medicalHistory', async (req, res) => {
  try {
    const patient = await Patient.findById(req.params.id);
    if (!patient) {
      return res.status(404).json({ error: 'Patient not found' });
    }
    patient.medicalHistory.push(req.body);
    await patient.save();
    res.json(patient);
  } catch (error) {
    res.status(500).json({ error: error.message });
  }
});

const PORT = process.env.PORT || 3000;
app.listen(PORT, () => console.log(`Server running on port ${PORT}`));

How to verify patient insurance and update records on Lovable


const express = require('express');
const axios = require('axios');

const app = express();
app.use(express.json());

// Endpoint to verify a patient's insurance and update their record on Lovable platform.
app.post('/api/verify-insurance', async (req, res) => {
  try {
    const { patientId, insuranceNumber } = req.body;
    
    // Call an external Insurance API to verify the provided insurance number.
    const insuranceResponse = await axios.post('https://api.externalinsurance.com/verify', {
      insuranceNumber
    });
    
    if (insuranceResponse.data && insuranceResponse.data.status === 'verified') {
      // After successful verification, update the patient's record on Lovable via its external API.
      const updateResponse = await axios.put(`https://api.lovable.com/patients/${patientId}/insurance`, {
        verified: true,
        provider: insuranceResponse.data.provider,
        planDetails: insuranceResponse.data.planDetails
      });
      
      return res.json({
        success: true,
        message: 'Insurance verified and patient record updated successfully.',
        data: updateResponse.data
      });
    } else {
      return res.status(400).json({
        success: false,
        message: 'Insurance verification failed.'
      });
    }
  } catch (error) {
    return res.status(500).json({
      success: false,
      message: 'An error occurred during the verification process.',
      error: error.message
    });
  }
});

const PORT = process.env.PORT || 4000;
app.listen(PORT, () => console.log(`Server is running on port ${PORT}`));

How to merge duplicate patient records in your Lovable Medical Records app


const express = require('express');
const axios = require('axios');
const mongoose = require('mongoose');

mongoose.connect('mongodb://localhost:27017/lovable_medical_records', {
  useNewUrlParser: true,
  useUnifiedTopology: true
});

const patientSchema = new mongoose.Schema({
  firstName: String,
  lastName: String,
  dob: Date,
  medicalHistory: [{
    date: Date,
    description: String,
    doctor: String
  }],
  lovId: String,
  createdAt: { type: Date, default: Date.now }
});

const Patient = mongoose.model('Patient', patientSchema);

const app = express();
app.use(express.json());

app.post('/api/merge-patients', async (req, res) => {
  try {
    const { primaryId, duplicateId } = req.body;
    const primaryPatient = await Patient.findById(primaryId);
    const duplicatePatient = await Patient.findById(duplicateId);
    
    if (!primaryPatient || !duplicatePatient) {
      return res.status(404).json({ error: 'One or both patients not found' });
    }
    
    // Merge medical histories by avoiding duplicate entries.
    const historyMap = new Map();
    primaryPatient.medicalHistory.forEach(record => {
      historyMap.set(record.date.toISOString() + record.description, record);
    });
    
    duplicatePatient.medicalHistory.forEach(record => {
      const key = record.date.toISOString() + record.description;
      if (!historyMap.has(key)) {
        primaryPatient.medicalHistory.push(record);
      }
    });
    
    await primaryPatient.save();
    await Patient.findByIdAndDelete(duplicateId);
    
    // Notify the Lovable central system about the merge.
    await axios.post('https://api.lovable.com/patients/merge', {
      primaryLovId: primaryPatient.lovId,
      mergedLovId: duplicatePatient.lovId
    });
    
    res.json(primaryPatient);
  } catch (error) {
    res.status(500).json({ error: error.message });
  }
});

const PORT = process.env.PORT || 5000;
app.listen(PORT, () => console.log(`Server running on port ${PORT}`));

Want to explore opportunities to work with us?

Connect with our team to unlock the full potential of no-code solutions with a no-commitment consultation!

Book a Free Consultation
Matt Graham, CEO of Rapid Developers

Book a call with an Expert

Starting a new venture? Need to upgrade your web app? RapidDev builds application with your growth in mind.

Book a free No-Code consultation

Best Practices for Building a Medical records app with AI Code Generators

 
Understanding the Application Requirements
 

  • Identify the core functionalities needed for a medical records application such as patient information management, appointment scheduling, and diagnostic data storage.
  • Determine which AI capabilities are required—from generating code for routine tasks to analyzing patient data.
  • Ensure that all features meet regulatory standards, such as HIPAA, to protect patient privacy.

 
Planning the Architecture
 

  • Divide your application into separate modules: front-end, back-end, and the AI code generator integration.
  • Consider a microservices architecture to isolate sensitive components like patient data and audit logs.
  • Plan for scalability by designing a system that can expand as the volume of records grows.

 
Choosing the Right AI Code Generator Tool

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