Medrecords AI

Medrecords AI is an AI-powered medical record analysis platform addressing one of the more time-intensive tasks in legal and insurance workflows: reviewing and synthesizing voluminous medical records. Litigators, claims adjusters, and IME physicians routinely face record sets spanning thousands of pages across multiple providers, in inconsistent formats, with duplicated and disorganized content.

Key features and functions include:

Record Ingestion and Structuring
Processes complete medical record sets, including PDFs, scanned images, and DICOM imaging files, applying a multi-stage AI pipeline to deduplicate, sort, and structure the content.

Chronologies and Issue-Focused Analysis
Produces chronological medical timelines, provider-organized summaries, treatment and medication histories, and analyses tailored to specific legal issues such as causation, pre-existing conditions, and treatment gaps.

Verifiable Citations
Links every statement in a generated summary or chronology to the exact source page in the original record, allowing physicians and attorneys to audit AI output rather than rely on it without review. This citation-first approach supports use in formal contexts such as IME reports and litigation work product.

Integrated DICOM Viewer
Allows medical imaging to be reviewed alongside the written record within a single workspace.

Collaboration and Access Controls
Supports role-based, case-scoped access appropriate for law firm, TPA, and IME panel environments, with multi-factor authentication and auditable access logging.

Multi-Model Verification
Routes analysis across multiple AI models to cross-check extracted data and flag contradictions, applying confidence scoring to support accuracy on medical-legal content.

Security and Hosting
Operates under HIPAA-compliant practices, including executed Business Associate Agreements, on Amazon Web Services infrastructure with encryption in transit and at rest.