Overview

Edvak EHR incorporates an advanced suite of AI-driven and predictive modeling capabilities to deliver high-fidelity, context-aware clinical decision support at the point of care. These capabilities are embedded within Edvak's Predictive Decision Support Interventions (DSIs), which encompass:

• Diagnosis Support: Uses predictive modeling to suggest the most probable differential diagnoses and correlates them with optimal diagnostic lab or imaging evaluations.
• Adverse Interaction Alerts: AI proactively identifies and flags high-risk drug interactions, particularly in complex polypharmacy cases where the likelihood of adverse drug events is elevated.
• Interpretation of Results: Delivers automated, structured interpretations of diagnostic investigations, offering clinicians streamlined, clinically relevant summaries of lab and imaging data.
• Risk Estimation: Employs embedded clinical calculators and predictive algorithms to quantify patient-specific risks for disease onset or complications, supporting earlier intervention strategies.
• Screening Guidance: Generates tailored preventive screening recommendations—such as for colorectal or breast cancer—based on personal medical history and established clinical guidelines.
• Follow-Up & Referrals: Analyzes patient trajectory and risk to recommend optimal follow-up intervals and appropriate referrals to specialty services.
• Targeted Therapy: Integrates genomic sequencing, molecular pathology, and disease biomarkers to inform precision-based therapeutic strategies.

These DSIs are designed to enhance clinical reasoning, improve diagnostic accuracy, and promote efficiency while reinforcing adherence to clinical best practices.

Risk Analysis

Edvak applies a comprehensive Intervention Risk Management (IRM) protocol, adapted from proven industry methodologies, to assess and validate AI-generated content prior to clinical deployment. This protocol involves:

• Iterative prompt engineering and refinement through subject-matter expert collaboration
• Contextual risk stratification based on intended use, workflow integration, and sociotechnical factors including equity impact
• Multi-tier validation by clinical informaticians, data scientists, and frontline healthcare providers under authentic use conditions

Each AI module is rigorously evaluated across multiple quality dimensions, including validity, reliability, robustness, fairness, interpretability, safety, and data privacy. For high-complexity predictive models, performance drift and local relevance are continuously monitored using embedded analytic tools.

Risk Mitigation

To proactively mitigate clinical and operational risks, Edvak enforces stringent engineering, testing, and review protocols during the development lifecycle:

• Expert stakeholder review and risk-benefit analysis during design and pre-release stages
• User-centric interface design and workflow integration strategies to support adoption and minimize errors
• Post-implementation surveillance tools to monitor performance, detect anomalies, and enable real-time configuration adjustments

Ongoing feedback is harvested from system users via structured support channels, embedded reporting mechanisms, and periodic utilization audits. Identified risks or deviations from expected behavior initiate formal triage, root cause analysis, and corrective action workflows.

Governance

Edvak’s AI governance is guided by foundational principles: Non-Maleficence, Transparency, Equity, and Data Stewardship. These principles are operationalized through a governance model that incorporates:

• Scheduled quarterly evaluations of DSI performance, audit logs, and user feedback
• Defined escalation pathways for urgent clinical risks or workflow disruptions
• Clear versioning, documentation, and dissemination protocols for model updates and deprecations

All handling of PHI and sensitive data complies with strict privacy regulations and security frameworks. When feasible, AI validation and model adaptation are performed in secure, on-premise environments, limiting data transmission and maintaining institutional control.

Continuous Innovation

Edvak maintains a commitment to iterative refinement and evidence-based innovation. Product enhancements are driven by real-world feedback loops, longitudinal performance analytics, emerging clinical standards, and regulatory developments. Collaboration with clinical practitioners, academic researchers, and industry leaders ensures Edvak’s AI infrastructure remains clinically relevant, scientifically sound, and ethically aligned.