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Summarize medical records
in seconds.

Generative AI and machine learning condense a patient’s detailed medical history into a concise, clear summary — so clinicians and reviewers see what matters, fast.

Electronic health recordsModality dataDatabasesHealthcare formatsRemote monitoringVitals & biometricsLaboratoryUnstructured data
Generative AI
+ ML
Patient summary

Patient information

Medical history

Medications

Immunizations

Clinical findings

What a summary covers

The most critical
information first.

01

Patient information

Demographics — name, age, gender, date of birth and contact details.

02

Medical history

Past conditions, surgeries, hospitalizations, chronic diseases and family history.

03

Medications

Current medications with dosage and frequency, allergies and adverse reactions.

04

Immunizations

Vaccination history.

05

Clinical findings

Recent examination results, vital signs and test results.

06

Diagnoses

Current and differential diagnoses.

07

Treatment plan

Ongoing therapies, procedures and future options.

08

Social history

Smoking, alcohol, exercise and other lifestyle factors.

09

Lab & imaging results

Recent results that affect diagnosis or treatment.

10

Progress notes

Significant changes, responses to treatment and observations from recent visits.

Insurance

Digital health-record summaries

With Paramed — one of the largest health-records aggregators — an LLM/RAG pipeline that generates digital summaries from complex structured and unstructured health documents.

Seconds to summarize documents that took hours to review
Sample summary

See a summary
for yourself.

Tell us about your records and we’ll send a sample summary, then walk you through the pipeline.

Emailsales@squareml.ai Prefer to pick a time?Book on Calendly
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