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
Medical staff or insurance adjusters manually read through complex, unstructured patient histories to find specific ICD codes, treatments, or pre-existing conditions.
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.
Parsit comprehends medical terminology, accurately extracting diagnoses, dates, and procedures from unstructured text into structured formats.
| 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
Date extraction
Patient details, dates of visit, ICD-10 diagnosis codes, prescribed medications, procedures performed, and physician notes.
Validation and checking
Validates extracted ICD codes against official medical registries and ensures chronological consistency of patient history.
Delivering results
HL7/FHIR compatible JSON or direct API integration with Electronic Health Record (EHR) systems.
Where are they used: medical records
Try automating medical records with your own files
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