Comprehensive analytics and reporting for clinical insights
Real-time analytics on patient outcomes, treatment effectiveness, and clinical patterns.
Monitor practice efficiency, resource utilization, and workflow optimization.
Automated compliance reporting for HIPAA, quality measures, and regulatory requirements.
Get your analytics dashboard up and running in minutes with pre-configured templates.
// Install SynThera Analytics SDK
npm install @synthera/analytics-sdk
// Initialize analytics client
import { AnalyticsClient } from '@synthera/analytics-sdk';
const analytics = new AnalyticsClient({
apiKey: 'your-api-key',
endpoint: 'https://analytics.synthera.health',
dashboardConfig: {
refreshInterval: 300000, // 5 minutes
timezone: 'America/New_York',
dateRange: 'last_30_days',
filters: {
department: ['cardiology', 'internal-medicine'],
provider: 'all',
location: 'main-campus'
}
}
});
// Create custom dashboard
const createDashboard = async () => {
const dashboard = await analytics.createDashboard({
name: 'Clinical Performance Dashboard',
layout: 'grid',
widgets: [
{
type: 'metric_card',
title: 'Patient Volume',
metric: 'patients_seen_today',
position: { x: 0, y: 0, width: 2, height: 1 }
},
{
type: 'line_chart',
title: 'Daily Census Trend',
metrics: ['daily_admissions', 'daily_discharges'],
timeRange: 'last_30_days',
position: { x: 2, y: 0, width: 4, height: 2 }
},
{
type: 'bar_chart',
title: 'Top Diagnoses',
metric: 'diagnosis_frequency',
groupBy: 'icd10_code',
limit: 10,
position: { x: 0, y: 1, width: 3, height: 2 }
},
{
type: 'heatmap',
title: 'Resource Utilization',
metric: 'bed_occupancy',
dimensions: ['hour_of_day', 'day_of_week'],
position: { x: 3, y: 1, width: 3, height: 2 }
}
]
});
return dashboard;
};
// Set up real-time updates
analytics.onDataUpdate((data) => {
console.log('Analytics data updated:', data);
updateDashboardWidgets(data);
});
// Export dashboard configuration
const exportConfig = () => {
return analytics.exportConfig({
includeFilters: true,
includeCustomMetrics: true,
format: 'json'
});
}:Patient Volume
Real-time patient count and trends
Length of Stay
Average LOS by department and diagnosis
Readmission Rates
30-day readmission tracking
Mortality Rates
Risk-adjusted mortality metrics
Quality Scores
CMS quality measure performance
Bed Utilization
Real-time bed occupancy and turnover
Staff Efficiency
Provider productivity and caseload
Wait Times
Patient wait times by department
Revenue Cycle
Billing and collection metrics
Cost Analysis
Cost per case and resource optimization
SynThera Analytics aggregates data from multiple sources to provide a complete clinical picture.
// Configure data sources
const dataSources = {
// EHR Integration
ehr: {
type: 'epic',
endpoint: 'https://your-epic-instance.com/fhir/r4',
authentication: 'oauth2',
credentials: {
clientId: 'your-client-id',
clientSecret: 'your-client-secret',
scope: 'patient/*.read observation/*.read'
},
syncInterval: '15m',
dataTypes: ['patient', 'encounter', 'observation', 'medication']
},
// Laboratory Data
lab: {
type: 'hl7',
endpoint: 'tcp://lab-server:2575',
messageTypes: ['ORU^R01', 'ADT^A08'],
processingRules: {
normalizeUnits: true,
validateRanges: true,
detectCritical: true
}
},
// Imaging Data
imaging: {
type: 'dicom',
pacsEndpoint: 'https://pacs.hospital.com/dcm4chee',
storageLocation: 's3://synthera-imaging-data',
aiAnalysis: {
enabled: true,
models: ['chest-xray', 'brain-mri', 'cardiac-echo']
}
},
// Custom API Integration
custom: {
type: 'rest_api',
endpoints: [
{
name: 'pharmacy_system',
url: 'https://pharmacy.hospital.com/api/v1',
authentication: 'bearer_token',
methods: ['GET', 'POST'],
rateLimit: 1000 // requests per minute
}
]
}
};
// Data transformation pipeline
const transformationPipeline = {
// Data cleansing
cleansing: {
removeNulls: true,
standardizeFormats: true,
validateConstraints: true,
deduplication: {
enabled: true,
fields: ['patient_id', 'encounter_id', 'timestamp']
}
},
// Data enrichment
enrichment: {
calculateAges: true,
geolocateAddresses: true,
lookupCodes: {
icd10: true,
snomed: true,
loinc: true
},
socialDeterminants: {
enabled: true,
sources: ['census', 'acs', 'public_health']
}
},
// Privacy and security
privacy: {
deidentification: {
enabled: true,
method: 'safe_harbor',
dateShifting: true,
zipCodeGeneralization: true
},
encryption: {
algorithm: 'AES-256',
keyRotation: '90d'
}
}
};Create custom metrics and KPIs specific to your organization's goals and requirements.
// Define custom metrics
const customMetrics = {
// Clinical Quality Metrics
clinicalQuality: {
name: 'Sepsis Bundle Compliance',
description: 'Percentage of sepsis patients receiving complete 3-hour bundle',
calculation: {
numerator: {
filter: 'diagnosis.code IN ("A41.9", "R65.20") AND bundle_complete = true',
timeWindow: '3h'
},
denominator: {
filter: 'diagnosis.code IN ("A41.9", "R65.20")',
timeWindow: '24h'
}
},
target: 0.85, // 85% compliance target
benchmarks: {
excellent: 0.90,
good: 0.80,
needs_improvement: 0.70
}
},
// Operational Efficiency
operationalEfficiency: {
name: 'ED Throughput Time',
description: 'Average time from ED arrival to disposition',
calculation: {
aggregation: 'avg',
field: 'ed_los_minutes',
filters: {
department: 'emergency',
disposition_type: ['admit', 'discharge', 'transfer']
}
},
target: 180, // 3 hours target
alerts: {
critical: 360, // 6 hours
warning: 300 // 5 hours
}
},
// Patient Satisfaction
patientSatisfaction: {
name: 'HCAHPS Overall Rating',
description: 'Percentage of patients rating hospital 9-10',
calculation: {
numerator: 'hcahps_overall_rating >= 9',
denominator: 'hcahps_overall_rating IS NOT NULL'
},
target: 0.75,
trending: {
period: 'monthly',
comparison: 'year_over_year'
}
},
// Financial Performance
financialPerformance: {
name: 'Cost Per Case',
description: 'Total cost divided by case volume',
calculation: {
numerator: 'SUM(direct_costs + indirect_costs)',
denominator: 'COUNT(DISTINCT case_id)',
groupBy: ['service_line', 'drg_code']
},
benchmarking: {
peerGroup: 'similar_hospitals',
percentile: 50
}
}
};
// Create metric tracking
const createMetricTracker = (metricId) => {
return analytics.createMetric({
id: metricId,
definition: customMetrics[metricId],
schedule: {
calculation: 'hourly',
reporting: 'daily',
retention: '2_years'
},
alerts: {
enabled: true,
channels: ['email', 'slack', 'dashboard'],
recipients: ['quality_team@hospital.com']
}
});
};
// Real-time metric monitoring
analytics.onMetricUpdate((metric) => {
console.log(`Metric ${metric.name} updated: ${metric.value}`);
// Check thresholds
if (metric.value < metric.target) {
sendAlert({
type: 'metric_below_target',
metric: metric.name,
value: metric.value,
target: metric.target
});
}
// Update dashboards
updateDashboardMetric(metric.id, metric.value);
});High-level KPIs and strategic metrics for leadership.
Detailed quality metrics and compliance tracking.
Service line and department-specific analytics.
// Configure automated reports
const reportSchedules = {
// Daily operational report
daily_ops: {
template: 'operational_dashboard',
schedule: {
frequency: 'daily',
time: '07:00',
timezone: 'America/New_York'
},
recipients: [
'cno@hospital.com',
'cmo@hospital.com',
'operations_team@hospital.com'
],
format: 'pdf',
delivery: 'email'
},
// Weekly quality report
weekly_quality: {
template: 'quality_metrics',
schedule: {
frequency: 'weekly',
day: 'monday',
time: '08:00'
},
parameters: {
date_range: 'last_7_days',
include_trends: true,
benchmark_comparison: true
},
recipients: [
'quality_team@hospital.com',
'medical_staff@hospital.com'
],
format: 'interactive_html'
},
// Monthly executive summary
monthly_executive: {
template: 'executive_summary',
schedule: {
frequency: 'monthly',
day_of_month: 1,
time: '06:00'
},
parameters: {
date_range: 'last_month',
include_forecasts: true,
peer_benchmarking: true
},
recipients: [
'ceo@hospital.com',
'board@hospital.com',
'finance_team@hospital.com'
],
format: 'powerpoint'
}
};
// Create and schedule reports
Object.entries(reportSchedules).forEach(([reportId, config]) => {
analytics.scheduleReport({
id: reportId,
...config,
onError: (error) => {
console.error(`Report ${reportId} failed:`, error);
notifyAdministrators(reportId, error);
},
onSuccess: (report) => {
console.log(`Report ${reportId} generated successfully`);
trackReportDelivery(reportId, report.metadata);
}
});
});// Build custom reports programmatically
const buildCustomReport = async (reportConfig) => {
const report = analytics.createReport({
title: reportConfig.title,
description: reportConfig.description,
// Data sources
dataSources: reportConfig.dataSources,
// Filters and parameters
filters: {
dateRange: {
start: reportConfig.startDate,
end: reportConfig.endDate
},
departments: reportConfig.departments,
providers: reportConfig.providers,
locations: reportConfig.locations
},
// Report sections
sections: [
{
type: 'summary',
title: 'Key Performance Indicators',
widgets: [
{ type: 'metric_card', metric: 'patient_volume' },
{ type: 'metric_card', metric: 'average_los' },
{ type: 'metric_card', metric: 'readmission_rate' },
{ type: 'metric_card', metric: 'patient_satisfaction' }
]
},
{
type: 'charts',
title: 'Trend Analysis',
widgets: [
{
type: 'line_chart',
title: 'Patient Volume Trend',
metric: 'daily_admissions',
timeRange: 'last_30_days'
},
{
type: 'bar_chart',
title: 'Top Diagnoses',
metric: 'diagnosis_frequency',
groupBy: 'icd10_code',
limit: 10
}
]
},
{
type: 'tables',
title: 'Detailed Data',
widgets: [
{
type: 'data_table',
title: 'Provider Performance',
columns: ['provider_name', 'patient_count', 'avg_los', 'satisfaction_score'],
sortBy: 'patient_count',
pagination: true
}
]
}
],
// Output format
output: {
format: reportConfig.format || 'pdf',
orientation: 'landscape',
includeToc: true,
includeFooter: true,
branding: {
logo: 'hospital_logo.png',
colors: {
primary: '#1e40af',
secondary: '#64748b'
}
}
}
});
return await report.generate();
};
// Example usage
const quarterlyReport = await buildCustomReport({
title: 'Q1 2024 Clinical Performance Report',
description: 'Comprehensive analysis of clinical and operational metrics',
startDate: '2024-01-01',
endDate: '2024-03-31',
departments: ['cardiology', 'internal_medicine', 'emergency'],
format: 'pdf'
});Monitor critical metrics in real-time with instant alerts and automated responses.
// Configure real-time alerts
const alertRules = {
// Critical patient alerts
critical_patient: {
name: 'Critical Patient Alert',
condition: {
metric: 'patient_early_warning_score',
operator: 'greater_than',
threshold: 7,
duration: '5m'
},
actions: [
{
type: 'notify',
channels: ['sms', 'pager', 'mobile_app'],
recipients: ['rapid_response_team', 'attending_physician']
},
{
type: 'create_task',
task: 'bedside_assessment',
priority: 'urgent',
assignee: 'charge_nurse'
}
]
},
// Capacity management
capacity_alert: {
name: 'ED Overcrowding Alert',
condition: {
metric: 'ed_occupancy_rate',
operator: 'greater_than',
threshold: 0.95,
duration: '15m'
},
actions: [
{
type: 'escalate',
to: 'bed_management_team',
message: 'ED at 95% capacity - initiate surge protocols'
},
{
type: 'dashboard_highlight',
widget: 'ed_status',
color: 'red'
}
]
},
// Quality indicators
quality_alert: {
name: 'Sepsis Bundle Compliance',
condition: {
metric: 'sepsis_bundle_compliance_rate',
operator: 'less_than',
threshold: 0.80,
timeWindow: '1h'
},
actions: [
{
type: 'notify',
channels: ['email'],
recipients: ['quality_team@hospital.com'],
template: 'sepsis_compliance_alert'
}
]
}
};
// Set up real-time monitoring
const monitoringSystem = analytics.createMonitor({
rules: alertRules,
checkInterval: 60000, // Check every minute
onAlert: (alert) => {
console.log(`Alert triggered: ${alert.rule.name}`);
// Log alert to database
logAlert({
ruleId: alert.rule.id,
timestamp: alert.timestamp,
value: alert.value,
threshold: alert.threshold
});
// Execute alert actions
alert.actions.forEach(action => {
executeAlertAction(action, alert);
});
},
onResolve: (alert) => {
console.log(`Alert resolved: ${alert.rule.name}`);
// Notify resolution
notifyAlertResolution(alert);
}
});All analytics operations maintain strict HIPAA compliance with comprehensive audit trails.
End-to-End Encryption
AES-256 encryption for data at rest and in transit
Role-Based Access Control
Granular permissions based on user roles and responsibilities
Data De-identification
Automatic PHI removal and anonymization
Audit Logging
Comprehensive tracking of all data access and modifications
// Configure compliance settings
const complianceConfig = {
// HIPAA compliance
hipaa: {
enabled: true,
auditLevel: 'comprehensive',
dataRetention: {
phi: '6_years',
auditLogs: '6_years',
reports: '6_years'
},
deidentification: {
method: 'safe_harbor',
dateShifting: true,
zipCodeTruncation: true
}
},
// Access controls
accessControl: {
authentication: {
method: 'saml_sso',
mfa: true,
sessionTimeout: 1800 // 30 minutes
},
authorization: {
model: 'rbac',
minimumPrivilege: true,
dynamicPermissions: true
}
},
// Data governance
dataGovernance: {
classification: {
phi: 'restricted',
clinical: 'sensitive',
operational: 'internal'
},
retention: {
automated: true,
policies: {
'patient_data': '7_years',
'financial_data': '7_years',
'operational_data': '3_years'
}
}
}
};
// Audit trail implementation
const auditTrail = {
logAccess: (userId, resource, action) => {
analytics.audit.log({
timestamp: new Date().toISOString(),
userId: userId,
resource: resource,
action: action,
ipAddress: getClientIP(),
userAgent: getUserAgent(),
sessionId: getSessionId()
});
},
generateComplianceReport: async (startDate, endDate) => {
return await analytics.compliance.generateReport({
type: 'hipaa_audit',
dateRange: { start: startDate, end: endDate },
includeMetrics: [
'data_access_frequency',
'user_activity_summary',
'security_violations',
'data_export_tracking'
]
});
}
};Widgets show loading state but no data appears.
// Check data source connections
analytics.dataSources.test()
.then(results => {
results.forEach(source => {
console.log(`${source.name}: ${source.status}`);
if (source.status === 'failed') {
console.error(`Error: ${source.error}`);
}
});
});
// Verify API connectivity
fetch('/api/analytics/health')
.then(response => {
if (!response.ok) {
throw new Error(`HTTP ${response.status}: ${response.statusText}`);
}
return response.json();
})
.then(data => console.log('API Health:', data))
.catch(error => console.error('API Error:', error));Slow query performance or dashboard timeouts.
// Monitor query performance
analytics.performance.monitor({
onSlowQuery: (query, duration) => {
console.warn(`Slow query detected: ${duration}ms`);
console.log('Query:', query);
// Suggest optimizations
const suggestions = analytics.performance.optimize(query);
console.log('Optimization suggestions:', suggestions);
},
threshold: 5000 // 5 seconds
});
// Check resource usage
analytics.system.getResourceUsage()
.then(usage => {
console.log('CPU Usage:', usage.cpu);
console.log('Memory Usage:', usage.memory);
console.log('Database Connections:', usage.dbConnections);
});Analytics show different values than source systems.
// Data validation checks
const validateData = async (metric, dateRange) => {
const analyticsValue = await analytics.getMetric(metric, dateRange);
const sourceValue = await dataSource.queryDirect(metric, dateRange);
const variance = Math.abs(analyticsValue - sourceValue) / sourceValue;
if (variance > 0.05) { // 5% variance threshold
console.warn(`Data discrepancy detected for ${metric}`);
console.log(`Analytics: ${analyticsValue}`);
console.log(`Source: ${sourceValue}`);
console.log(`Variance: ${(variance * 100).toFixed(2)}%`);
// Trigger data reconciliation
await analytics.reconcile(metric, dateRange);
}
};
// Check data pipeline status
analytics.pipeline.getStatus()
.then(status => {
status.stages.forEach(stage => {
console.log(`${stage.name}: ${stage.status}`);
if (stage.errors.length > 0) {
console.error('Errors:', stage.errors);
}
});
});// Performance optimization strategies
const optimizationStrategies = {
// Caching configuration
caching: {
enabled: true,
layers: {
browser: {
ttl: 300, // 5 minutes
maxSize: '50MB'
},
application: {
ttl: 1800, // 30 minutes
maxSize: '500MB'
},
database: {
queryCache: true,
resultCache: true,
ttl: 3600 // 1 hour
}
}
},
// Query optimization
queryOptimization: {
// Pre-aggregate frequently accessed metrics
materialization: {
enabled: true,
refreshInterval: '1h',
metrics: [
'daily_patient_volume',
'hourly_bed_occupancy',
'monthly_quality_scores'
]
},
// Index recommendations
indexing: {
autoCreate: true,
suggestions: [
'patient_id, encounter_date',
'department, admission_timestamp',
'provider_id, service_date'
]
}
},
// Data partitioning
partitioning: {
strategy: 'date_based',
interval: 'monthly',
retention: '24_months',
archiving: {
enabled: true,
destination: 's3_glacier'
}
}
};