Extract provides software that not only saves your HIM department time and money, but also delivers more complete and accurate data to your clinicians. Our HealthyData software multiplies the value of your workers so you can reassign workers to higher value tasks and navigate staffing or volume fluctuations easily.
With an impressive list of customers that includes Mayo Clinic, Stanford, Cedars-Sinai, Northwestern, and many more, Extract is trusted by some of the largest and most respected healthcare institutions in the country.
HealthyData is an automated document classification and indexing application for the abstraction of scanned medical records and HIM workflow automation. The software uses optical character recognition (OCR) software to convert scanned images to text. HealthyData’s capture engine leverages artificial intelligence, machine learning, natural language processing, and traditional data extraction methods to obtain the document type, patient demographic data, date of service, and other related index data from the document. The patient information from the scanned image is matched with the patient record via an ADT feed to validate the correct patient and automatically populate the correct MRN.
HealthyData automates HIM workflows by indexing and routing all formats of incoming documents to the desired downstream destination. HealthyData monitors a file share and upon receipt of a document will OCR and automatically classify, extract the index fields, match patient names, and queue the data and document for verification. Depending upon business rules, each document type will be handled as a single document with optional data extraction (name, DOB, gender, lab results, etc.) for indexing and linking to the EMR. Paper, scans, and other types of documents can be added to the HealthyData workflow by dropping them into the same network folder.
The software has a variety of use cases that includes release of information and referral packet creation. It’s flexible enough to identify discrete data in documents as disparate as lab reports and invoices.
Some features of the software include:
Auto Release – Send data from high-confidence documents along with the document image directly to the EMR or other downstream systems as they are processed.
Data Standardization/Normalization – Map incoming data from disparate sources to the standard naming convention and data format of the EMR or other downstream systems.
Document Prioritization – Based on agreed-upon business logic, critical departments or document types are prioritized and moved to the top of the verification queue for quick turnaround.
Duplicate Detection – Automated duplicate detection. Alerts users to discard a duplicate document or merge near duplicate documents.
File Routing – Automatically route files to various users, a print queue or to specific network locations based on user-defined criteria. HealthyData can automatically route documents to downstream workflows (such as to receive a physician’s signature).
Order Matching – Information coming through an HL7 ORM interface allows the software to select the correct order, matching the patient and appropriate procedure based on the document type and other index data.
Pagination – The software automatically suggests which documents should be separated and the specific page where the separations should occur, including recognizing extraneous cover pages and removing them from a batch to speed the workflow and to eliminate storage of unnecessary pages. All of this occurs without the need for separator sheets.
Unsolicited Result DMS Integration – If the organization is using a DMS such as OnBase, unsolicited results require the creation of an order in the EMR, followed by sending that order number to the DMS to facilitate linking the document to the order. If the organization is filing documents directly into the EMR’s blob server, this integration is handled natively.
Whether your organization is trying to hit HIMSS 7 documentation speeds or you’re looking for a project with an impressive return on investment, stop by booth 819 and we’d be happy to show you how it all works.