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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Hindsait, Inc.
Hindsait, Inc.

Hindsait, Inc.

Founded 2013

Automate prior authorization reviews and clinical decision workflows by extracting data from medical records

You can use Hindsait to convert unstructured medical charts and clinical documents into structured data for administrative healthcare decisions. It analyzes patient records to automate prior authorization approvals where criteria are conclusively met, while flagging complex cases for human clinical review. The system monitors CMS guidelines and payer policies to ensure determinations stay compliant. Healthcare organizations also use it to audit medical necessity, identify coding gaps in risk adjustment workflows, detect billing anomalies, and reduce administrative review times across utilization management departments.

What Hindsait, Inc. does

Extract clinical entities from unstructured medical recordsMatch patient records against prior authorization guidelinesRoute complex medical reviews to clinical staffAudit claims for fraud, waste, and abuseCrosswalk ICD-10 codes to appropriate HCC categoriesMonitor CMS policy updates for coverage determination changesGenerate structured clinical audit summariesAutomated evidence matching for clinically clear prior authorization requestsClinical natural language processing to extract data from unstructured medical recordsAutomated policy tracking to monitor updates across CMS and payer guidelinesHuman-in-the-loop workflows for routing complex medical reviews to cliniciansFlexible deployment on premises or across AWS, Google Cloud, and Microsoft AzureRisk adjustment gap identification and HCC coding crosswalksPayment integrity checks to spot claims anomalies and billing issues

Frequently asked

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Hindsait, prior authorization, clinical natural language processing, healthcare decision intelligence, medical record review, utilization management, payment integrity, risk adjustment, HCC coding, intelligent document processing, CMS compliance, health plans, clinical review automation, medical necessity, health data extraction