
Streamline medical record summarization
Transform manual medical record reviews by generating structured, clinically accurate summaries for case management, workers' comp, RWE, and claims evaluations. Ease the administrative burden and speed up decision-making for critical claim and coverage decisions, as well as research insights.
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See how healthcare organizations use WRITER to aggregate medical records, extract relevant information, and organize it all into a structured, clinically accurate summary.
How WRITER summarizes medical records into structured health summaries
Ingest length, complex records
Aggregate and analyze medical records from multiple hundred-page PDFs, from EHR printouts to handwritten notes.
Automatically extract clinical details
Extract relevant information, such as conditions, treatments, diagnostics, and timelines.
Get clinically accurate summaries
Organize into a structured, clinically accurate summary, highlighting key findings, relevant details, and recommendations.
Empower clinicians with final reviews
Clinicians review and validate the summary and recommendations, ensuring accuracy and completeness.
FAQs
What are the benefits of using AI for medical records in claims and case preparation?
AI significantly cuts down the time it takes to prepare claims and cases by automatically finding critical information in massive volumes of medical records. This frees up your team from hours of manual reading so they can focus on making faster, more informed, and even more accurate decisions.
Can AI medical record tools extract conditions, treatments, and diagnostic histories?
Yes, an LLM that powers AI medical record tools can be specifically designed to read and understand clinical documents, allowing accurate extraction of key details like conditions, treatments, and diagnostic histories. From there, it can create a structured timeline of the patient's journey from multiple PDFs and/or unstructured notes.
How does an AI health summary improve accuracy and consistency compared to manual reviews?
Manual reviews can sometimes miss key details. An AI solution can digest 1000s of pages of documents, extract key details, while allowing a human reviewer to trace back details to the precise location in a document. It also ensures every summary is created using the same consistent format, eliminating the natural variations that occur when different people summarize information.