IP Library Granted Patent US 10,706,008
Granted Patent B2
US 10,706,008 · App. 15/595,216 · Granted Jul 7, 2020

Data capturing and structuring method and system

Inventor: Therasa Bell (Boise, ID)
Assignee: KNO2 LLC
G06F16/10G06F16/14G06F16/258G06F16/93G06F19/00G16H10/60
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Quick Facts
Patent No.
US 10,706,008
App. No.
15/595,216
Granted
Jul 7, 2020
Kind
B2
Abstract

A method for a data capturing and structuring includes determining at least one data capture mode for processing a non-electronic data record into an electronic data record and selecting a record owner having a plurality of existing data records to be associated with the electronic data record. The method also includes capturing the non-electronic data record into the electronic data record and collecting metadata from data associated with the record owner and the electronic data record and data generated during the capturing. Further, the method includes creating structured data records by combining the electronic data record and the metadata and exporting the structured data records.

Claims (79)

1. A method for capturing and structuring data, comprising:

determining, using a processor in a data processing environment, a data capture mode for creating a structured document from an unstructured document that lacks a format to configure the data processing environment to recognize the content of the unstructured document;

capturing the unstructured document under the data capture mode using the processor;

automatically determining, using-the data capture mode, a record owner having a plurality of existing data records to be associated with the unstructured document by comparing the plurality of existing data records with the unstructured document;

collecting metadata from data associated with the record owner, the unstructured document, and data generated during the capturing;

selecting automatically detected metadata that includes data from real-time messaging or other communications;

creating the structured document using the metadata and automatically detected metadata;

generating from the structured document multiple structured formats designed to configure the structured document to be used by multiple systems through standardized transport protocols;

converting the structured document to a file format having one of the structured formats based on a document type and a healthcare facility system;

exporting the structured document; and

importing the structured document by a receiving application.

2. The method according to claim 1 , wherein:

the existing data records are electronic medical records; and

the record owner is a patient.

3. The method according to claim 2 , wherein the data capture mode includes;

a proximity-based capture mode, an event-based capture mode, a schedule-based capture mode, an inquiry-based capture mode, or a transaction-based capture mode.

4. The method according to claim 2 , wherein collecting metadata includes:

collecting both static metadata and dynamic metadata.

5. The method according to claim 2 , wherein creating structured documents further includes:

creating the structured documents in one of a health level seven (HL7) format, a cross enterprise document sharing (XDS) format, an extensible markup language (XML) format, and a clinical document architecture (CDA) format.

6. The method according to claim 2 , wherein creating structured further includes:

creating multiple structured documents in two formats from a health level seven (HL7) format, a cross enterprise document sharing (XDS) format, an extensible markup language (XML) format, and a clinical document architecture (CDA) format.

7. The method according to claim 2 , wherein:

the metadata is collected from an HL7 message received by the processor.

8. The method according to claim 2 , wherein exporting the structured documents further includes:

exporting the structured documents to multiple recipients in multiple formats, selected based on the recipients.

9. The method according to claim 1 , further including:

updating the metadata dynamically based on data received from a messaging network.

10. The method according to claim 9 , wherein the proximity-based capture mode uses a proximity between the processor and a plurality of patients to select a list of patients within the proximity, and selects the record owner from the plurality of patients.

11. The method according to claim 9 , wherein the event-based capture mode uses events associated with a plurality of patients that happen within a preset period of time to select a list of patients, and selects the record owner from the plurality of patients.

12. The method according to claim 9 , wherein the schedule-based capture mode uses scheduled visits of a plurality of patients to select a list of patients, and

selects the record owner from the plurality of patients.

13. The method according to claim 9 , wherein the inquiry-based capture mode uses an inquiry made by a user of the processor to select a plurality of patients satisfying the inquiry, and selects the record owner from the plurality of patients.

14. The method according to claim 9 , wherein the transaction-based capture mode uses a transaction associated with the existing data records of the record owner to select an existing data record to be associated with the unstructured document.

15. A non-transitory computer storage medium storing computer executable programs for, when being executed by a processor in a data capturing and structuring device in a data processing environment, performing a data management method comprising:

determining a data capture mode for processing an unstructured document into a structured document, the unstructured document lacking a format that configures the data processing environment to recognize the content of the unstructured document;

capturing the unstructured document under the data capture mode;

automatically selecting, based on the data capture mode, a record owner having a plurality of existing data records to be associated with the unstructured document by comparing the plurality of existing data records with the unstructured document;

collecting metadata from data associated with the record owner, the unstructured document, and data generated during the capturing;

selecting automatically detected metadata that includes data from real-time messaging or other communications;

creating the structured document using the metadata and automatically detected metadata;

generating multiple structured formats from the structured document such that the structured document is submitted to and used by multiple systems through standardized transport protocols;

converting the structured document to a file format based on a document type and a healthcare facility system;

exporting the structured document; and

importing the structured document by a receiving application.

16. The non-transitory computer storage medium according to claim 15 , wherein:

the existing data records are electronic medical records, and

the record owner is a patient.

17. The non-transitory computer storage medium according to claim 15 , wherein the method further includes:

updating the metadata dynamically based on data received from a messaging network.

18. The non-transitory computer storage medium according to claim 15 , wherein collecting metadata includes:

collecting both static metadata and dynamic metadata.

19. The non-transitory computer storage medium according to claim 16 , wherein:

the data capture mode includes of a proximity-based capture mode, an event-based capture mode, a schedule-based capture mode, an inquiry-based capture mode, or a transaction-based capture mode; and

wherein the method includes

using proximity between the device and a plurality of patients in the proximity-based capture mode to select a list of patients within the proximity, and selecting the record owner from the plurality of patients,

using events associated with a plurality of patients happened within a preset period of time in the event-based capture mode to select a list of patients, and selecting the record owner from the plurality of patients,

selecting scheduled visits of a plurality of patients to select a list of patients in the schedule-based capture mode, and selecting the record owner from the plurality of patients,

using an inquiry made by a user of the device to select a plurality of patients satisfying the inquiry in the inquiry-based capture mode, and selecting the record owner is selected from the plurality of patients, and

using a transaction associated with the existing data records of the record owner in the transaction-based capture mode to select an existing data record to be associated with the unstructured document.

20. The non-transitory computer storage medium according to claim 16 , wherein creating structured documents further includes:

creating the structured documents in one of a health level seven (HL7) format, a cross enterprise document sharing (XDS) format, an extensible markup language (XML) format, and a clinical document architecture (CDA) format.

21. The non-transitory computer storage medium according to claim 16 , wherein creating structured documents further includes:

creating multiple structured documents in two or more formats from a health level seven (HL7) format, a cross enterprise document sharing (XDS) format, an extensible markup language (XML) format, and a clinical document architecture (CDA) format.

22. The non-transitory computer storage medium according to claim 16 , wherein:

the metadata is collected from an HL7 message received by the device.

23. The non-transitory computer storage medium according to claim 16 , wherein exporting the structured documents further includes:

exporting the structured documents to multiple recipients in multiple formats, wherein the metadata is selected based on the recipients and the multiple formats are generated based on the recipients.

24. A method for data capturing and structuring, comprising:

determining, using a processor, a data capture mode for creating a structured document from an unstructured document that lacks a format to configure a data processing environment including the processor to recognize the content of the unstructured document, wherein the data capture mode is selected from a plurality of predetermined data capture modes including a proximity-based capture mode, an event-based capture mode, a schedule-based capture mode, and a transaction-based capture mode and wherein the data capture mode further includes an inquiry-based capture mode;

capturing the unstructured document under the data capture mode using the processor;

determining, using the processor and based on the data capture mode, a record owner having a plurality of existing data records to be associated with the unstructured document by comparing the plurality of existing data records with the captured unstructured document;

collecting metadata from data associated with the record owner, the unstructured document, and data generated during the capturing;

selecting automatically detected metadata that includes data from real-time messaging or other communications;

creating the structured document using the metadata;

generating from the structured document multiple structured formats that configure the structured document to be used by multiple systems through standardized transport protocols;

converting the structured document to a file format based on a document type and a healthcare facility system;

exporting the structured document; and

importing the structured document by a receiving application.

Assignments (4)
SECURITY INTEREST Recorded Jun 18, 2026
From: KNO2 LLC
To: FIFTH THIRD BANK, N.A., SUCCESSOR IN INTEREST TO COMERICA BANK
Reel/Frame 075003/0255 →
SECURITY INTEREST Recorded Jul 31, 2025
From: KNO2 LLC
To: COMERICA BANK
Reel/Frame 071898/0570 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 6, 2021
From: BELL, THERASA
To: INOFILE LLC
Reel/Frame 056765/0847 →
CHANGE OF NAME Recorded Jul 6, 2021
From: INOFILE, LLC
To: KNO2 LLC
Reel/Frame 056770/0490 →
Continuity (2)
Continuation 13399581 · Feb 17, 2012
Related Publication 20170249427A1 · Aug 31, 2017