Health Harbor

Analyzes historical patient data and clinical patterns to identify individuals at high risk for adverse health events, readmissions, or complications. Uses machine learning models to score and rank patients by risk level.

Automatically processes prior authorization requests by extracting clinical information from patient records, matching against payer requirements, and submitting authorization requests with minimal manual intervention. Tracks approval status and alerts on denials.

Generates required healthcare regulatory reports including HIPAA compliance documentation, FDA medical device reporting, quality metrics, and audit trails. Maintains compliance evidence for inspections.

Continuously monitors the performance of predictive models in production, tracking accuracy, sensitivity, specificity, and other metrics. Alerts when model performance degrades and recommends retraining.

Automates the submission, validation, and status tracking of insurance claims by extracting billing data from clinical encounters, validating against payer requirements, and submitting electronically. Identifies and flags claim errors before submission to reduce rejections.

Predicts which recently discharged patients are at highest risk of returning to the hospital within 30 days based on clinical, social, and demographic factors. Generates actionable alerts for care coordination teams.

Forecasts which patients are likely to use emergency department services in the near future based on clinical patterns, chronic conditions, and historical utilization. Enables proactive primary care interventions.

Connects to existing EHR systems to extract, normalize, and ingest clinical and administrative data without requiring platform migration. Maintains data synchronization and handles multiple EHR vendor formats.

Continuously monitors predictive models for bias and fairness issues across demographic groups, generating reports on model performance disparities and recommending mitigation strategies.

Generates real-time or near-real-time alerts for clinicians based on patient data analysis, highlighting high-risk situations, drug interactions, or recommended interventions. Integrates with EHR workflows.

Automates routine administrative tasks such as appointment scheduling, patient eligibility verification, insurance verification, and documentation routing. Reduces manual data entry and improves process efficiency.

Identifies and analyzes specific patient cohorts based on clinical, demographic, and social criteria. Generates cohort-level insights on disease prevalence, treatment patterns, and outcomes.