OUR PRODUCT SOLUTIONS
Automating EHR tasks and streamlining clinical workflows. It boosts revenue from optimized medical coding by consolidating patient histories, improving clinical notes, and denial management with proprietary algorithms.
EFFICIENT PATIENT HISTORY MANAGEMENT
CortexHistory
The CortexHistory module accesses comprehensive patient histories from various sources via the Carequality Network (CEQ)
AUTOMATED CLINICAL NOTE-TAKING
CortexNotes
Captures & processes detailed patient-provider interaction
seamlessly integrated into the Electronic Health Record (EHR), Official Partnership with AthenaHealth and Integrated with EPIC
AUTOMATED EVIDENCE-BASED CDSS
CortexEvidence
Provides direct, up-to-date, evidence-based guidelines within the EHR, making clinical decisions easier without interrupting physician workflows.
Powered by Neuroreef Labs' innovative BooksMed algorithm from MedAura.ai for reliable, state-of-the-art decision support.
Clinically validated across four specialties: Internal Medicine, Pediatrics, Neurology, and Psychiatry.
Strategic partnerships are conducting additional clinical validation in Gastroenterology, Family Medicine, and Obstetrics & Gynecology.
ADVANCED MEDICAL CODING OPTIMIZATION
CortexCode
Utilizes a diverse set of data sources to optimize medical coding, including
Past Medical Histories
HPI (History of Present Illness)
Provider-Payer Legal Contracts
Chargemaster
Evidence-based Clinical Recommendations & Guidelines Backed By CortexEvidence
ADVANCED MEDICAL CODING OPTIMIZATION
Prior-Authorization & Patient Scheduling
This step involves obtaining approval for medical procedures and organizing patient appointments.
EFFECTIVE DENIAL MANAGEMENT
CortexDenial Manager
By using an upstream evidence-based Clinical Decision Support System CortexEvidence & Coding System CortexCode, the CortexDenialManager platform automates the analysis of the denials and generates client denial reports
Implementation
Our Clinically Validated Primary Model
State-of-the-art LLM framework emulating human cognitive processes for evidence-based responses
Powered by GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) for quantifying evidence strength
Provides reliable and evidence-based responses
Extensively validated by physicians across four specialties and seven countries