Patient information
Demographics — name, age, gender, date of birth and contact details.
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.
Patient information
Medical history
Medications
Immunizations
Clinical findings
Demographics — name, age, gender, date of birth and contact details.
Past conditions, surgeries, hospitalizations, chronic diseases and family history.
Current medications with dosage and frequency, allergies and adverse reactions.
Vaccination history.
Recent examination results, vital signs and test results.
Current and differential diagnoses.
Ongoing therapies, procedures and future options.
Smoking, alcohol, exercise and other lifestyle factors.
Recent results that affect diagnosis or treatment.
Significant changes, responses to treatment and observations from recent visits.
With Paramed — one of the largest health-records aggregators — an LLM/RAG pipeline that generates digital summaries from complex structured and unstructured health documents.
Tell us about your records and we’ll send a sample summary, then walk you through the pipeline.