Healthcare
AI AGENTS FOR HEALTHCARE

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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Problem
Mountains of unstructured data. Hours of manual review. Lengthy process that slows down decision-making.
Solution
An AI solution that can streamline a time-consuming and costly process, with greater speed and accuracy. 

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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. 

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Available HOW IT WORKS

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.

How does WRITER ensure the summaries are clinically accurate?

WRITER LLMs are pre-trained on a vast corpus of clinical data. All outputs include direct citations and links back to the source document, allowing a human reviewer, like an RN, to quickly validate the AI-generated summary in a final, efficient human-in-the-loop step. This ensures 100% accuracy and clinical oversight.

How is this agent different from tools embedded in our EMR?

WRITER provides a holistic, system-agnostic layer that works across your entire data ecosystem. Instead of being locked into a single EMR, our agent can ingest and synthesize data from multiple sources, faxes, provider portals, different EMRs, to create a single, unified summary. For a reviewer, it’s as simple as opening a case and letting WRITER go to work for you.

Reimagine work with AI agents for medical record summarization