IP Library Granted Patent US 11,558,512
Granted Patent B2
US 11,558,512 · App. 17/482,159 · Granted Jan 17, 2023

Automated system and method for electronic health record indexing

Inventors: Kevin C. Frank (High Ridge, MO); Patrick J. Karpen (Webster Groves, MO)
Assignee: Document Imaging Systems Corp.
H04N1/00236G06F16/22G06F16/285G06F16/93G06Q10/10G16H10/60G16H15/00H04N1/00209H04N1/00244H04N2201/0079H04N2201/0081H04N2201/0093
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Quick Facts
Patent No.
US 11,558,512
App. No.
17/482,159
Granted
Jan 17, 2023
Kind
B2
Abstract

A system includes one or more processors to receive a representation of a document from a client computing device, the document comprising one of a scanned document, a faxed document, and an electronic document, determine a document type of the document based at least on the representation of the document, index the document using a classification and index processing engine based on the document type, the document type comprising at least one of a plurality of document types used by an electronic health record (EHR) system, extract index data from the document based on the document type using the classification and index processing engine, and match the document with a patient from a database of the EHR system using the index data when the classification and index processing engine successfully indexes the document and extracts index data from the document.

Claims (39)

1. A system, comprising:

at least one processor to:

transmit at least one barcode to a client computing device;

receive a representation of a document from the client computing device, the document comprising one of a scanned document, a faxed document, and an electronic document;

determine a document type of the document based on one of the at least one barcode and the representation of the document;

index the document using a classification and index processing engine based on the document type, the document type comprising at least one of a plurality of document types used by an electronic health record (EHR) system;

extract index data from the document based on the document type using the classification and index processing engine; and

match the document with a patient from a database of the EHR system using the index data when the classification and index processing engine successfully indexes the document and extracts index data from the document.

2. The system of claim 1 , wherein the at least one barcode comprises a unique optical machine-readable representation of data.

3. The system of claim 1 , wherein the at least one barcode comprises one of a linear barcode and a two-dimensional matrix barcode.

4. The system of claim 1 , wherein the at least one barcode is affixed to a paper document and scanned by a scanner to generate the scanned document.

5. The system of claim 1 , wherein the at least one barcode comprises a sticker affixed to a paper document and is scanned by a scanner to generate the scanned document.

6. The system of claim 1 , wherein the at least one barcode is an electronic barcode added to the representation of the document.

7. The system of claim 1 , wherein the at least one barcode is affixed to a paper document and sent via facsimile hardware that generates the faxed document.

8. The system of claim 1 , wherein the at least one barcode comprises a sticker affixed to a paper document and is sent via facsimile hardware that generates the faxed document.

9. The system of claim 1 , the at least one processor further to determine that the representation of the document does not have the at least one barcode and automatically attach the at least one barcode to the representation of the document.

10. A method, comprising:

transmitting, by at least one processor, at least one barcode to a client computing device;

receiving, by the at least one processor, a representation of a document from the client computing device, the document comprising one of a scanned document, a faxed document, and an electronic document;

determining, by the at least one processor, a document type of the document based on one of the at least one barcode and the representation of the document;

indexing, by the at least one processor, the document using a classification and index processing engine based on the document type, the document type comprising at least one of a plurality of document types used by an electronic health record (EHR) system;

extracting, by the at least one processor, index data from the document based on the document type using the classification and index processing engine; and

matching, by the at least one processor, the document with a patient from a database of the EHR system using the index data when the classification and index processing engine successfully indexes the document and extracts index data from the document.

11. The method of claim 10 , wherein the at least one barcode comprises a unique optical machine-readable representation of data.

12. The method of claim 10 , wherein the at least one barcode comprises one of a linear barcode and a two-dimensional matrix barcode.

13. The method of claim 10 , wherein the at least one barcode is affixed to a paper document and scanned by a scanner to generate the scanned document.

14. The method of claim 10 , wherein the at least one barcode comprises a sticker affixed to a paper document and is scanned by a scanner to generate the scanned document.

15. The method of claim 10 , wherein the at least one barcode is an electronic barcode added to the representation of the document.

16. The method of claim 10 , wherein the at least one barcode is affixed to a paper document and sent via facsimile hardware that generates the faxed document.

17. The method of claim 10 , wherein the at least one barcode comprises a sticker affixed to a paper document and is sent via facsimile hardware that generates the faxed document.

18. The method of claim 10 , further comprising determining that the representation of the document does not have the at least one barcode and automatically attaching the at least one barcode to the representation of the document.

19. A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

transmitting at least one barcode to a client computing device;

receiving a representation of a document from the client computing device, the document comprising one of a scanned document, a faxed document, and an electronic document;

determining a document type of the document based on one of the at least one barcode and the representation of the document;

indexing the document using a classification and index processing engine based on the document type, the document type comprising at least one of a plurality of document types used by an electronic health record (EHR) system;

extracting index data from the document based on the document type using the classification and index processing engine; and

matching the document with a patient from a database of the EHR system using the index data when the classification and index processing engine successfully indexes the document and extracts index data from the document.

20. The non-transitory computer-readable medium of claim 19 , wherein the at least one barcode comprises a unique optical machine-readable representation of data.

Assignments (3)
SECURITY INTEREST Recorded Jun 3, 2024
From: DOCUMENT IMAGING SYSTEMS CORP.
To: ANTARES CAPITAL LP, AS COLLATERAL AGENT
Reel/Frame 067594/0171 →
RELEASE OF SECURITY INTEREST Recorded Jun 3, 2024
From: WEBSTER BANK, NATIONAL ASSOCIATION
To: DOCUMENT IMAGING SYSTEMS CORP.
Reel/Frame 067602/0667 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 27, 2021
From: FRANK, KEVIN C.; KARPEN, PATRICK J.
To: DOCUMENT IMAGING SYSTEMS CORP.
Reel/Frame 057611/0805 →
Continuity (5)
Continuation 16885756 · May 28, 2020
Continuation 15938738 · Mar 28, 2018
Continuation 14536409 · Nov 7, 2014
Provisional Application 61901933 · Nov 8, 2013
Related Publication 20220013204A1 · Jan 13, 2022