AI-powered clinical decision support and diagnostic accuracy verification
SynThera's Diagnostic Auditor provides comprehensive AI-powered verification of clinical decisions, ensuring diagnostic accuracy and adherence to evidence-based guidelines. Our system continuously monitors clinical workflows, identifies potential diagnostic errors, and provides real-time feedback to improve patient safety and clinical outcomes while supporting quality assurance and regulatory compliance initiatives.
Continuous monitoring of diagnostic decisions with instant feedback
Automated verification against clinical practice guidelines
Advanced algorithms to identify potential diagnostic mistakes
Comprehensive reporting and analytics for quality improvement
96.8% diagnostic error detection
0.5% false positive rate
<500ms real-time analysis
Instant alert delivery
25+ medical specialties
1000+ clinical guidelines
All major EHR systems
HL7 FHIR compliant
Proactive identification of potential diagnostic errors before patient harm
Continuous monitoring of compliance with evidence-based practices
Detailed reporting and trend analysis for continuous improvement
// Diagnostic Auditor Integration const auditor = new SynTheraAuditor({ apiKey: 'your-api-key', specialty: 'internal-medicine' }); // Real-time diagnostic audit auditor.auditDiagnosis({ patientData: { demographics: patient.demographics, symptoms: patient.symptoms, labResults: patient.labs, imagingResults: patient.imaging }, proposedDiagnosis: 'acute-myocardial-infarction', clinicalContext: { setting: 'emergency-department', urgency: 'high' }, onAuditComplete: (auditResult) => { if (auditResult.hasIssues) { displayAlert({ level: auditResult.severity, message: auditResult.findings, recommendations: auditResult.suggestions, guidelines: auditResult.relevantGuidelines }); } // Log for quality metrics qualityDashboard.recordAudit(auditResult); } });
Verification of diagnosis consistency with clinical evidence
Assessment of therapeutic decisions against best practices
Evaluation of patient safety and potential adverse outcomes
Improve diagnostic accuracy and patient safety with intelligent clinical decision support