METHOD AND SYSTEM FOR INTELLIGENT COMPLETION OF MEDICAL RECORD BASED ON BIG DATA ANALYTICS

• US 20170177796A1
• Filed: 12/17/2015
• Published: 06/22/2017
• Est. Priority Date: 12/17/2015
• Status: Active Grant

• Current Assignee: DrFirst.com, Incorported
• Original Assignee: DrFirst.com, Incorported
• Inventors: Sellars, David Andrew
• Granted Patent: US 10,546,654 B2
• Time in Patent Office: Days
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The present teaching relates to medical record completion. In one example, a medical record of a patient is received. The medical record is associated with a plurality of components comprising a first component with a populated value and a second component with an unpopulated value. The unpopulated value of the second component is estimated based on the populated value of the first component in accordance with a first model. Information associated with the medical record and/or the patient is obtained. The values of the first and second components are validated based on the obtained information in accordance with a second model. The first and second models are dynamically updated based on data related to medical transactions of a plurality of patients.

Claims

1. A method, implemented on at least one computing device each of which has at least one processor, storage, and a communication platform connected to a network for completing a medical record, the method comprising:

receiving a medical record of a patient, wherein the medical record is associated with a plurality of components comprising a first component with a populated value and a second component with a unpopulated value;

estimating the unpopulated value of the second component based on the populated value of the first component in accordance with a first model;

obtaining information associated with the medical record and/or the patient; and

validating the values of the first and second components based on the obtained information in accordance with a second model, wherein

the first and second models are dynamically updated based on data related to medical transactions of a plurality of patients.

2. The method of claim 1, further comprising:

normalizing the medical record to generate a normalized medical record having the plurality of components comprising the first component with the populated value and the second component with the unpopulated value.

3. The method of claim 1, further comprising:

obtaining a medical record format associated with a user;

converting the normalized medical record into the medical record format; and

sending the converted normalized medical record to the user.

4. The method of claim 1, further comprising:

if the value of at least one of the first and second components is invalid, notifying a user to whom the normalized medical record is sent and/or a user from whom the medical record is received about the invalid value.

5. The method of claim 1, wherein the first model includes a plurality of medical records, each of which being associated with rankings with respect to the plurality of components.

6. The method of claim 1, wherein the second model includes a plurality of medical records, each of which being associated with rankings with respect to dimensions of the information.

7. The method of claim 2, wherein the medical record is normalized based on a third model that is dynamically updated based on data related to medical transactions of a plurality of patients.

8. The method of claim 7, wherein the third model includes a mapping from a plurality of permutations to a term.

9. The method of claim 1, wherein the information includes at least one of:

doctor specialty;

disease diagnosis;

symptoms; and

patient profile.

10. The method of claim 1, wherein the medical record is in a natural language.

19. The system of claim 10, wherein the information includes at least one of:

doctor specialty;

disease diagnosis;

symptoms; and

patient profile.

11. A system for completing a medical record, comprising:

a missing component completing module configured for receiving a medical record of a patient, wherein the medical record is associated with a plurality of components comprising a first component with a populated value and a second component with a unpopulated value, and estimating the unpopulated value of the second component based on the populated value of the first component in accordance with a first model; and

a medical record validating module configured for obtaining information associated with the medical record and/or the patient, and validating the values of the first and second components based on the obtained information in accordance with a second model, wherein

the first and second models are dynamically updated based on data related to medical transactions of a plurality of patients.

12. The system of claim 11, further comprising:

a medical record normalization engine configured for normalizing the medical record to generate a normalized medical record having the plurality of components comprising the first component with the populated value and the second component with the unpopulated value.

13. The system of claim 11, further comprising a medical record formation engine configured for:

obtaining a medical record format associated with a user;

converting the normalized medical record into the medical record format; and

sending the converted normalized medical record to the user.

14. The system of claim 11, further comprising a medical record correction engine configured for, if the value of at least one of the first and second components is invalid, notifying a user to whom the normalized medical record is sent and/or a user from whom the medical record is received about the invalid value.

15. The system of claim 11, wherein the first model includes a plurality of medical records, each of which being associated with rankings with respect to the plurality of components.

16. The system of claim 11, wherein the second model includes a plurality of medical records, each of which being associated with rankings with respect to dimensions of the information.

17. The system of claim 12, wherein the medical record is normalized based on a third model that is dynamically updated based on data related to medical transactions of a plurality of patients.

18. The system of claim 17, wherein the third model includes a mapping from a plurality of permutations to a term.

20. A non-transitory machine readable medium having information recorded thereon for completing a medical record, wherein the information, when read by a machine, causes the machine to perform the steps of:

receiving a medical record of a patient, wherein the medical record is associated with a plurality of components comprising a first component with a populated value and a second component with a unpopulated value;

estimating the unpopulated value of the second component based on the populated value of the first component in accordance with a first model;

obtaining information associated with the medical record and/or the patient; and

validating the values of the first and second components based on the obtained information in accordance with a second model, wherein

the first and second models are dynamically updated based on data related to medical transactions of a plurality of patients.