Conflict resolution of originally paper based data entry

• US 10,114,808 B2
• Filed: 05/07/2014
• Issued: 10/30/2018
• Est. Priority Date: 05/07/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bhagwan, Varun, Gruhl, Daniel F., Lewis, Neal R., Welch, Steven R.
• Primary Examiner(s): Paula, Cesar B
• Assistant Examiner(s): Huang, Jian
• Application Number:
  US14/271,478
• Publication Number:
  US 20150324341A1
• Time in Patent Office: 1,637 Days
• Field of Search: 715230, 382321, 600407
• CPC Class Codes: G06F 40/106 Display of layout of documents; Previewing
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes

Abstract

A method for updating automated annotations for a paper-based document is provided. The method may include receiving an image of the paper-based document, the image of the paper-based document including a plurality of highlighted annotations having at least one edited annotation. The method may also include extracting the at least one edited annotation from the received image of the paper-based document. The method may further include adding the extracted at least one edited annotation of the paper-based document to a data retention system.

Claims

1. A method for updating automated annotations for a paper based document, the method comprising:

identifying, by an automated system utilizing optical character recognition, ambiguous content within a paper-based medical record, wherein the ambiguous content includes one or more terms that each correspond to a same acronym, wherein the automated system is located on one or more client devices and on a server that is communicatively coupled to the one or more client devices over a communications network;

highlighting, by the automated system, the ambiguous content, wherein the highlighted ambiguous content within the paper-based document comprises information corresponding to automated entity extraction;

including, by the automated system, an area of text that links to a choice box within a margin of the paper-based document;

transmitting, by the automated system and to the SME, an electronically transmitted image of the paper-based document;

receiving, by the automated system, an edited image of the paper-based document that includes;

at least one edited annotation made by the SME that clarifies the ambiguous content, wherein the edited at least one annotation comprises a manual edit using a pen on the paper-based document including the plurality of highlighted ambiguous content, wherein the manual edit using the pen comprises at least one of an approval of an annotation, a disapproval of an annotation, a clarification of an annotation, and an addition of an annotation, wherein the disapproval of the annotation comprises placing an “

X”

through the annotation, and wherein the approval of the annotation comprises placing a “

check mark”

through the annotation, and wherein the clarification of the annotation comprises placing a “

check mark”

in an appropriate check box, wherein the addition of the annotation comprises circling or underlining a non-annotated area of the paper-based document; and

an approval, by the SME filing in the choice box, of the at least one edited annotation;

extracting the at least one edited annotation from the received image of the paper-based document, wherein only the at least one edited annotation is identified while the remainder of the paper-based document is subtracted;

in response to determining the extracted at least one edited annotation is approved by the SME, adding the extracted at least one edited annotation of the paper-based document to a data retention system, wherein the data retention system is a structured data system located on the server and includes a plurality of electronic medical records (EMR), wherein the plurality of electronic medical records are an electronic representation of the medical record;

retrieving the approved added extracted at least one edited annotation to identify and update the plurality of EMR within the data retention system that include the highlighted ambiguous content by replacing the highlighted ambiguous content with the approved at least one edited annotation;

updating previously stored ambiguous content that was highlighted within the data retention system with the approved at least one edited annotation, and wherein updating the previously stored highlighted ambiguous content within the data retention system includes updating the previously stored highlighted ambiguous content within the one or more client devices; and

rescanning the paper-based document back into the automated system;

removing original text from the rescanned paper-based document; and

utilizing acronym token boundaries to identify any acronym tokens within the paper-based that are needed to be updated for future use in previously saved EMRs.

14. The method of claim 1, further comprising:

modifying a template form that is used in the future based on the approved added extracted at least one edited annotation; and

determining which data retention system to add the extracted at least one edited annotation.

15. The method of claim 1, further comprising:

generating, by the automated system, two different interpretations of the ambiguous content;

adding, by the automated system, the two different interpretations to the electronically transmitted image, wherein the two different interpretations each have their own choice box; and

receiving, by the automated system and from the SME, a selection of one of the two different interpretations.

2. A system for updating automated annotations for a paper based document, the system comprising:

a memory having computer readable computer instructions; and

a processor for executing the computer readable instructions, the instructions including;

identify, by an automated system utilizing optical character recognition, ambiguous content within a paper-based medical record, wherein the ambiguous content includes one or more terms, wherein the automated system is located on one or more client devices and on a server that is communicatively coupled to the one or more client devices over a communications network;

highlight, by the automated system, the ambiguous content;

include, by the automated system, an area of text that links to a choice box within a margin of the paper-based document;

transmit, by the automated system and to the SME an electronically transmitted image of the paper-based document;

receive, by the automated system, an edited image of the paper-based document that includes;

at least one edited annotation made by the SME that clarifies the ambiguous content; and

an approval, by the SME filing in the choice box, of the at least one edited annotation;

extract the at least one edited annotation from the received image of the paper-based document, wherein only the at least one edited annotation is identified while the remainder of the paper-based document is subtracted;

in response to determining the extracted at least one edited annotation is approved by the SME, adding the extracted at least one edited annotation of the paper-based document to a data retention system, wherein the data retention system is a structured data system located on the server and includes a plurality of electronic medical records (EMR), wherein the plurality of electronic medical records are an electronic representation of the medical record;

retrieve the approved added extracted at least one edited annotation to identify and update the plurality of EMR within the data retention system that include the highlighted ambiguous content by replacing the highlighted ambiguous content with the approved at least one edited annotation;

update previously stored ambiguous content that was highlighted within the data retention system with the approved at least one edited annotation, and wherein updating the previously stored highlighted ambiguous content within the data retention system includes updating the previously stored highlighted ambiguous content within the one or more client devices;

rescan the paper-based document back into the automated system;

remove original text from the rescanned paper-based document; and

utilize acronym token boundaries to identify any acronym tokens within the paper-based that are needed to be updated for future use in previously saved EMRs.

3. The system of claim 2, wherein the plurality of highlighted ambiguous content within the paper-based document comprises information corresponding to automated entity extraction.

4. The system of claim 2, wherein the edited at least one annotation comprises a manual edit using a pen on the paper-based document including the plurality of highlighted ambiguous content.

5. The system of claim 4, wherein the manual edit using a pen comprises at least one of an approval of an annotation, a disapproval of an annotation, a clarification of an annotation, and an addition of an annotation.

6. The system of claim 5, wherein the disapproval of an annotation comprises placing an “

X”

through the annotation, and wherein the approval of an annotation comprises placing a “

check mark”

through the annotation, and wherein the clarification of an annotation comprises placing a “

check mark”

in an appropriate check box.

7. The system of claim 5, wherein the addition of an annotation comprises circling or underlining a non-annotated area of the paper-based document.

8. A computer program product for updating automated annotations for a paper-based document, the computer program product comprising:

a non-transitory computer readable storage medium having program code embodied therewith, the program code is executable by a processor to;

identify, by an automated system utilizing optical character recognition, ambiguous content within a paper-based medical record, wherein the ambiguous content includes one or more terms, wherein the automated system is located on one or more client devices and on a server that is communicatively coupled to the one or more client devices over a communications network;

highlight, by the automated system, the ambiguous content;

include, by the automated system, an area of text that links to a choice box within a margin of the paper-based document;

transmit, by the automated system and to a subject matter expert (SME), an electronically transmitted image of the paper-based document;

receive, by the automated system, an edited image of the paper-based document that includes;

at least one edited annotation made by the SME that clarifies the ambiguous content; and

an approval, by the SME filing in the choice box, of the at least one edited annotation;

extract the at least one edited annotation from the received image of the paper-based document, wherein only the at least one edited annotation is identified while the remainder of the paper-based document is subtracted;

in response to determining the extracted at least one edited annotation is approved by the SME, adding the extracted at least one edited annotation of the paper-based document to a data retention system, wherein the data retention system is a structured data system located on the server and includes a plurality of electronic medical records (EMR), wherein the plurality of electronic medical records are an electronic representation of the medical record;

retrieve the approved added extracted at least one edited annotation to identify and update the plurality of EMR within the data retention system that include the highlighted ambiguous content by replacing the highlighted ambiguous content with the approved at least one edited annotation;

update previously stored ambiguous content that was highlighted within the data retention system with the approved at least one edited annotation, and wherein updating the previously stored highlighted ambiguous content within the data retention system includes updating the previously stored highlighted ambiguous content within the one or more client devices;

rescan the paper-based document back into the automated system;

remove original text from the rescanned paper-based document; and

utilize acronym token boundaries to identify any acronym tokens within the paper-based that are needed to be updated for future use in previously saved EMRs.

9. The program product of claim 8, wherein the plurality of highlighted ambiguous content within the paper-based document comprises information corresponding to automated entity extraction.

10. The program product of claim 8, wherein the edited at least one annotation comprises a manual edit using a pen on the paper-based document including the plurality of highlighted ambiguous content.

11. The program product of claim 10, wherein the manual edit using a pen comprises at least one of an approval of an annotation, a disapproval of an annotation, a clarification of an annotation, and an addition of an annotation.

12. The program product of claim 11, wherein the manual edit using a pen comprises an overall approval of the edited at least one annotation.

13. The program product of claim 11, wherein the disapproval of an annotation comprises placing an “

X”

through the annotation, and wherein the approval of an annotation comprises placing a “

check mark”

through the annotation, and wherein the clarification of an annotation comprises placing a “

check mark”

in an appropriate check box, wherein the addition of an annotation comprises circling or underlining a non-annotated area of the paper-based document.