Wisedocs makes reviews easy, searchable, and smart with a structured AI medical chronology

Yes, Wisedocs allows uploads of medical records from various sources such as web interfaces, APIs, cloud storage, and email.

Yes, Wisedocs processes a wide range of document types, including complex medical records and legal documents.

No, Wisedocs does not limit the page count on your file. For individual uploads, Wisedocs supports up to 1GB for each file upload, and you can upload multiple files per case.

A medical chronology is a structured, organized document by date that lists a patient’s medical events (diagnoses, treatments, hospitalizations, provider visits) in chronological order. It differs from a simple medical summary because it emphasizes when medical events occurred, providing a clear timeline of care that is critical in claims, litigation and insurance processes.

AI-driven claims documentation platforms like Wisedocs ingest large volumes of unstructured medical records (PDFs, faxes, handwritten notes, Word docs, TIFFs), apply our proprietary AI algorithms consisting of intelligent OCR and natural-language processing to extract key data (dates, providers, event types), to organize the data into a clean, searchable timeline of events for further review.

Speed & scale: What traditionally could take many hours or days can often be processed in a fraction of the time.
Searchability: Medical chronologies become indexed and filterable (by date, provider, event, treatment) rather than buried in stacks of pages.
Gap-identification: Timelines help spot missing treatments, inconsistent care or documentation gaps that may affect claims or litigation outcomes.
Defensible output: With structured data and traceable citations linking back to source documents, the chronology supports defensible legal, insurance and claims review.

Typical users include:
Legal firms handling insurance defense, malpractice or disability cases
Insurance carriers and third-party administrators (TPAs) outsourced for claim case review
Healthcare and IME (independent medical evaluation) providers needing streamlined medical record review workflows
Case-management teams requiring searchable and defensible chronologies
Wisedocs is a solution built for every claims stakeholder, including defence lawyers, claims adjusters, medical evaluators.

Yes - Wisedocs offers configurable workflows where you can tailor the chronology to the case type (e.g., workers’ compensation, insurance defense, medical expertise), customise filters (by date range, provider, treatment type), and include or exclude specific document types or event categories. This ensures the medical chronology aligns with your legal or claims-review objectives.

Wisedocs supports uploads of many formats including PDFs, Word docs, TIFFs, JPEGs, faxes and handwritten notes (scanned documents). It applies handwritten-note detection, deduplication and co-mingled-record separation to ensure the chronology is searchable and accurate.

Because medical chronologies often involve sensitive patient data and claims documentation, robust security is critical. Wisedocs emphasizes enterprise-grade security, HIPAA and PIPEDA compliance, and audit-capable workflows. Wisedocs ensures that uploaded documents, extracted data and final outputs are handled under appropriate compliance frameworks according to SOC 2 Type II protocols.

While timing depends on document volume, complexity and case-specific requirements, AI-powered chronologies reduce turnaround from days/weeks to a fraction of the time saving up to 70% of record review time.

By providing a structured timeline:
Reviewers spend less time navigating unorganised documents and more time analyzing the claim case
Teams can identify treatment gaps, inconsistent care or key events sooner, which may influence settlement strategy or litigation outcomes
Case documentation becomes more defensible in audits or court proceedings thanks to structured outputs and citation traceability to source documents
All of which can lead to lower review costs, faster decision-making and higher throughput.