PrecisionOCR leverages proprietary computer vision denoising algorithms to reduce visual artifacts and improve OCR.  It provides auto rotation, date and timeline analysis, and machine learning based spellcheck using MIMIC-III data set. The contents of the document can easily be searched to identify, understand and extract data from forms and tables.

Quickly surface a list of medications, conditions, procedures and observations within a large document. Once detected, PrecisionOCR can turn these observations and procedures into medical codes using public ontologies like LOINC and SNOMED that can be exported or used within the Precision Health Cloud.

PrecisionOCR can mask all HIPAA protected Patient Health Information. This allows you to focus on the information you need most while protecting subject privacy.

Create an account today that includes a BAA (Business Associate Agreement) with no upfront costs. With PrecisionOCR you can simply upload documents via your web browser for a low per-page price. No software to install. It can also be fully integrated into the Precision Health Cloud so data from these documents can be combined and analyzed with your other data sources.

Using a hybrid machine learning and rules-based system, search and filter across all documents by keyword as well as define and maintain domain specific keywords to be surfaced within the document or clinical note. FHIR resources will be intelligently suggested based on keywords for indexing data from the document, making search functionality more robust and flexible.

Organize documents in folders by patient (name or MRN) or by custom category. PrecisionOCR is machine learning based document classifier trained using the MIMIC-III data set. With this function you can get insight into what each page consists of without looking at it yourself and sort to your preference.