Medical Records & Extracts

Automated Medical Record processing

Medical Records require extracting diagnosis codes and patient history. Parsit does this automatically — faster, more accurately, and without errors.

Medical Records: before and after Parsit

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Before

Medical staff or insurance adjusters manually read through complex, unstructured patient histories to find specific ICD codes, treatments, or pre-existing conditions.

MEDICINOS DOKUMENTŲ IŠRAŠAS / EPICRISIS
Patient: Vardenis Pavardenis
Gim. data: 1980-01-01

Nusiskundimai: Patient skundžiasi stipriu skausmu dešiniajame kelio sąnaryje, atsandadusiu po traumos sportuojant.

Objektyvi būklė: Kelio sąnarys patinęs, judesiai riboti. Atliktas MRT tyrimas rodo vidinio menisko plyšimą.

Clinical diagnosis: Dešinio kelio vidinio menisko plyšimas (S83.2). Paskandta artroskopinė operacija.

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After

Parsit comprehends medical terminology, accurately extracting diagnoses, dates, and procedures from unstructured text into structured formats.

table_chart ehr_import.xlsx
Synchronized
A B C D E
1 Patient Gim. data Diagnosis (Tekstas) TLK-10 Kodas Paskandta procedūra
2 Vardenis Pavardenis 1980-01-01 Dešinio kelio vidinio menisko plyšimas S83.2 Artroskopinė operacija
3

How Parsit processes medical records

data_object

Date extraction

Patient details, dates of visit, ICD-10 diagnosis codes, prescribed medications, procedures performed, and physician notes.

fact_check

Validation and checking

Validates extracted ICD codes against official medical registries and ensures chronological consistency of patient history.

output

Delivering results

HL7/FHIR compatible JSON or direct API integration with Electronic Health Record (EHR) systems.

Try automating medical records with your own files

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