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e-commerce-ai-alchemy-engine / healthcare-dashboard.html

Develop a script in Python to fine-tune a text generation model (e.g., BioGPT) that creates patient education materials or reports, while incorporating a machine learning predictive layer (e.g., using XGBoost) to analyze health data (e.g., electronic records) and predict outcomes like disease progression. Ensure HIPAA compliance in data handling. Provide code for model training, inference, and integration into a web app, optimized for healthcare providers scrambling to integrate AI amid 220% demand growth.

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	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Healthcare AI Dashboard \| AI Forge</title>
	<link rel="icon" type="image/x-icon" href="/static/favicon.ico">
	<link rel="stylesheet" href="style.css">
	<script src="https://cdn.tailwindcss.com"></script>
	<script src="https://cdn.jsdelivr.net/npm/feather-icons/dist/feather.min.js"></script>
	<script src="https://unpkg.com/feather-icons"></script>
	<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
	</head>
	<body class="bg-gray-50">
	<custom-navbar></custom-navbar>

	<div class="min-h-screen pt-16">
	<!-- Dashboard Header -->
	<div class="bg-white shadow-sm border-b">
	<div class="container mx-auto px-6 py-4">
	<h1 class="text-3xl font-bold text-gray-900">Healthcare AI Dashboard</h1>
	<p class="text-gray-600">HIPAA-compliant patient education and predictive analytics</p>
	</div>
	</div>

	<!-- Main Dashboard -->
	<div class="container mx-auto px-6 py-8">
	<!-- Stats Overview -->
	<div class="grid grid-cols-1 md:grid-cols-4 gap-6 mb-8">
	<div class="bg-white rounded-xl shadow-sm p-6">
	<div class="flex items-center justify-between">
	<div>
	<p class="text-sm text-gray-500">Patients Processed</p>
	<p class="text-2xl font-bold text-indigo-600">1,247</p>
	</div>
	</div>
	<div class="bg-white rounded-xl shadow-sm p-6">
	<div class="flex items-center justify-between">
	<div>
	<p class="text-sm text-gray-500">AI Accuracy</p>
	<p class="text-2xl font-bold text-green-600">94.2%</p>
	</div>
	</div>
	<div class="bg-white rounded-xl shadow-sm p-6">
	<div class="flex items-center justify-between">
	<div>
	<p class="text-sm text-gray-500">Time Saved</p>
	<p class="text-2xl font-bold text-blue-600">320 hrs</p>
	</div>
	</div>
	<div class="bg-white rounded-xl shadow-sm p-6">
	<div class="flex items-center justify-between">
	<div>
	<p class="text-sm text-gray-500">Demand Growth</p>
	<p class="text-2xl font-bold text-orange-600">220%</p>
	</div>
	</div>
	</div>

	<!-- Patient Analysis Section -->
	<div class="grid grid-cols-1 lg:grid-cols-2 gap-8 mb-8">
	<!-- Patient Data Input -->
	<div class="bg-white rounded-xl shadow-sm p-6">
	<h2 class="text-xl font-bold mb-4">Patient Analysis</h2>

	<form id="patientAnalysisForm" class="space-y-4">
	<div class="grid grid-cols-2 gap-4">
	<div>
	<label class="block text-sm font-medium text-gray-700 mb-1">Age</label>
	<input type="number" id="patientAge" class="w-full rounded-lg border-gray-300" min="0" max="120" value="45">
	</div>
	<div>
	<label class="block text-sm font-medium text-gray-700 mb-1">BMI</label>
	<input type="number" id="patientBMI" class="w-full rounded-lg border-gray-300" min="10" max="50" step="0.1" value="28.5">
	</div>
	</div>

	<div class="grid grid-cols-2 gap-4">
	<div>
	<label class="block text-sm font-medium text-gray-700 mb-1">Systolic BP</label>
	<input type="number" id="systolicBP" class="w-full rounded-lg border-gray-300" min="50" max="200" value="135">
	</div>
	<div>
	<label class="block text-sm font-medium text-gray-700 mb-1">Diastolic BP</label>
	<input type="number" id="diastolicBP" class="w-full rounded-lg border-gray-300" min="30" max="150" value="85">
	</div>
	</div>

	<div>
	<label class="block text-sm font-medium text-gray-700 mb-1">Condition</label>
	<input type="text" id="patientCondition" class="w-full rounded-lg border-gray-300" value="Type 2 Diabetes Risk">
	</div>

	<div>
	<label class="block text-sm font-medium text-gray-700 mb-1">Symptoms</label>
	<textarea id="patientSymptoms" class="w-full rounded-lg border-gray-300" rows="3" placeholder="Describe patient symptoms and history">Elevated blood pressure, overweight BMI, family history of diabetes</textarea>
	</div>

	<button type="submit" class="w-full bg-indigo-600 hover:bg-indigo-700 text-white px-6 py-3 rounded-lg font-medium transition-all">
	<i data-feather="play" class="w-4 h-4 mr-2"></i>
	Generate Analysis
	</button>
	</form>
	</div>

	<!-- Results Visualization -->
	<div class="bg-white rounded-xl shadow-sm p-6">
	<h2 class="text-xl font-bold mb-4">AI Analysis Results</h2>

	<div class="space-y-6">
	<!-- Risk Prediction -->
	<div>
	<h3 class="text-lg font-semibold mb-3">Health Risk Assessment</h3>
	<div class="bg-gray-50 rounded-lg p-4">
	<div class="flex justify-between items-center mb-2">
	<span class="text-gray-700">Predicted Risk Level:</span>
	<span id="riskLevel" class="px-3 py-1 rounded-full text-sm font-medium">-</span>
	</div>
	<div class="w-full bg-gray-200 rounded-full h-4">
	<div id="riskBar" class="bg-red-600 h-4 rounded-full" style="width: 0%"></div>
	</div>

	<!-- Patient Education Material -->
	<div>
	<h3 class="text-lg font-semibold mb-3">Generated Education Material</h3>
	<div id="educationOutput" class="bg-gray-50 border border-gray-200 rounded-lg p-4 min-h-48">
	<p class="text-gray-500 italic">Patient education materials will appear here...</p>
	</div>
	<div class="flex justify-end gap-2">
	<button id="regenerateBtn" class="px-4 py-2 border border-gray-300 rounded-lg">Regenerate</button>
	<button id="copyBtn" class="px-4 py-2 bg-indigo-600 text-white rounded-lg">Copy to Clipboard</button>
	</div>
	</div>

	<!-- Treatment Recommendations -->
	<div>
	<h3 class="text-lg font-semibold mb-3">AI Treatment Recommendations</h3>
	<div id="treatmentOutput" class="space-y-2">
	<p class="text-gray-500 italic">Treatment recommendations will appear here...</p>
	</div>
	</div>
	</div>
	</div>

	<!-- Charts Section -->
	<div class="bg-white rounded-xl shadow-sm p-6 mb-8">
	<h2 class="text-xl font-bold mb-4">Population Health Analytics</h2>
	<div class="grid grid-cols-1 lg:grid-cols-2 gap-6">
	<div>
	<canvas id="riskDistributionChart" width="400" height="200"></canvas>
	</div>
	<div class="bg-white rounded-xl shadow-sm p-6">
	<h2 class="text-xl font-bold mb-4">Model Performance</h2>
	<canvas id="performanceChart" width="400" height="200"></canvas>
	</div>
	</div>
	</div>

	<!-- HIPAA Compliance Notice -->
	<div class="bg-blue-50 border border-blue-200 rounded-xl p-6">
	<div class="flex items-start gap-3">
	<i data-feather="shield" class="w-6 h-6 text-blue-600 mt-1"></i>
	<div>
	<h3 class="font-semibold text-blue-800">HIPAA Compliance Active</h3>
	<p class="text-blue-600 text-sm">All patient data is de-identified and encrypted. Audit logging enabled.</p>
	</div>
	</div>
	</div>
	</div>

	<custom-footer></custom-footer>

	<script src="components/navbar.js"></script>
	<script src="components/footer.js"></script>
	<script src="script.js"></script>
	<script>
	feather.replace();

	// Initialize charts
	const riskCtx = document.getElementById('riskDistributionChart').getContext('2d');
	const performanceCtx = document.getElementById('performanceChart').getContext('2d');

	// Risk Distribution Chart
	new Chart(riskCtx, {
	type: 'bar',
	data: {
	labels: ['Low Risk', 'Medium Risk', 'High Risk'],
	datasets: [{
	label: 'Patient Distribution',
	data: [650, 420, 177],
	backgroundColor: [
	'rgba(34, 197, 94, 0.8)',
	'rgba(251, 191, 36, 0.8)',
	'rgba(239, 68, 68, 0.8)'
	}]
	}]
	},
	options: {
	responsive: true,
	plugins: {
	title: {
	display: true,
	text: 'Risk Level Distribution'
	}
	}
	}
	});

	// Performance Chart
	new Chart(performanceCtx, {
	type: 'line',
	data: {
	labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun'],
	datasets: [{
	label: 'Model Accuracy',
	data: [89.2, 91.5, 92.8, 93.4, 94.1, 94.2],
	borderColor: 'rgb(99, 102, 241)',
	backgroundColor: 'rgba(99, 102, 241, 0.1)',
	borderWidth: 2,
	fill: true
	}]
	},
	options: {
	responsive: true,
	scales: {
	y: {
	beginAtZero: true,
	max: 100
	}
	}
	}
	});

	// Form submission handler
	document.getElementById('patientAnalysisForm').addEventListener('submit', async (e) => {
	e.preventDefault();

	const formData = {
	age: document.getElementById('patientAge').value,
	bmi: document.getElementById('patientBMI').value,
	blood_pressure_systolic': document.getElementById('systolicBP').value,
	blood_pressure_diastolic': document.getElementById('diastolicBP').value,
	gender: 'female',
	smoking_status: 'former',
	diabetes_status: 'no',
	condition: document.getElementById('patientCondition').value,
	symptoms: document.getElementById('patientSymptoms').value
	};

	try {
	// Call healthcare API
	const response = await fetch('/api/comprehensive-analysis', {
	method: 'POST',
	headers: {
	'Content-Type': 'application/json',
	'Authorization': 'Bearer healthcare_provider_token_2024'
	},
	body: JSON.stringify({
	patient_data: formData,
	model_type: 'both'
	})
	});

	const result = await response.json();

	if (result.success) {
	// Update risk level
	const riskLevel = result.data.risk_prediction;
	const confidence = result.data.confidence_score;

	document.getElementById('riskLevel').textContent =
	riskLevel === 2 ? 'High Risk' : riskLevel === 1 ? 'Medium Risk' : 'Low Risk';

	// Update risk bar
	const riskPercentage = riskLevel === 2 ? 85 : riskLevel === 1 ? 60 : 25;
	document.getElementById('riskBar').style.width = `${riskPercentage}%`;

	// Update education material
	document.getElementById('educationOutput').innerHTML =
	`<div class="prose max-w-none"><p>${result.data.education_material}</p></div>';

	// Update treatment recommendations
	const treatmentHTML = result.data.treatment_recommendations.map(rec =>
	`<div class="flex items-start gap-2">
	<i data-feather="check-circle" class="w-4 h-4 text-green-500 mt-1"></i>
	<span>${rec}</span>
	</div>`
	).join('');
	document.getElementById('treatmentOutput').innerHTML = treatmentHTML;
	} else {
	alert('Error: ' + result.message);
	}

	} catch (error) {
	console.error('Error:', error);
	alert('Failed to generate analysis');
	}
	});

	// Copy button handler
	document.getElementById('copyBtn').addEventListener('click', () => {
	const educationText = document.getElementById('educationOutput').innerText;
	navigator.clipboard.writeText(educationText);
	alert('Copied to clipboard!');
	});

	// Regenerate button handler
	document.getElementById('regenerateBtn').addEventListener('click', () => {
	document.getElementById('patientAnalysisForm').dispatchEvent(new Event('submit'));
	});
	</script>
	</body>
	</html>