For Healthcare Providers

Optimize Your Clinical Workflows

Turnkey Solution for the Non-Technical Clinical Team

PrecisionOCR is a drag-and-drop solution for the non-technical clinical team to turn unstructured documents into medical meaning to inform patient care. Harness our tool to automate the transformation of source material into structured data records that can be integrated with EMR data using HL7’s FHIR standards.

Want to Take It For a Spin? The First 10 Pages Are Free!

What you can do with Precision OCR

Streamline manual patient chart intake and reviews

Extract Quality Measures from clinical documents

Extract laboratory testing values and phenotype details

Classify data related to Adverse Events (AEs)

No Data Scientist Required

Bulk upload or ingest files (PDF, JPG and PNG) via API files to uncover medications, observations, conditions and procedures using AI. 

PrecisionOCR leverages many data types with FHIR, including:

  • Lab Values
  • Medications and Dosages
  • Medical Conditions
  • Medical Procedures
  • Associated Dates
  • Identifiable PHI

PrecisionOCR supports RxNORM, ICD-10-CM, LOINC, SNOMED.  It also supports the ability to upload custom ontologies

Automate Lab Report Data Extraction

Never start from scratch by using PrecisionOCR’s library of pre-built Lab Report Extractors to accelerate your workflow to pull relevant lab values.

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Classify Your Documents With Ease

PrecisionOCR is machine-learning based document classifier trained using the MIMIC-III data set. Easily classify documents based on patient or custom category without looking at each document yourself.

Beyond the Basics: From Paper to Intelligent Visualizations in Minutes

PrecisionOCR is an entry point for ongoing analysis and visualization tools within the LifeOmic Precision Health Cloud (PHC) that can operate on FHIR resources of any type and shape, so you can answer questions about your data regardless of the data source.

The PHC can integrate genomic, EHR, imaging, demographic and any other data set. It indexes all of this data so you can effortlessly combine and visualize it either as part of ad hoc exploration or within applications such as clinical decision support.

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Note: All data is synthetic and does not contain protected health data