System and method for generating a medical history

• US 8,165,898 B2
• Filed: 03/09/2011
• Issued: 04/24/2012
• Est. Priority Date: 10/27/2008
• Status: Active Grant

• Current Assignee: Medsleuth Incorporated
• Original Assignee: Medsleuth Incorporated
• Inventors: Kalamas, Alicia Gruber
• Primary Examiner(s): Gilligan, Luke
• Assistant Examiner(s): BURGESS, JOSEPH D
• Application Number:
  US13/043,909
• Publication Number:
  US 20110161114A1
• Time in Patent Office: 412 Days
• Field of Search: 705 2- 3
• US Class Current: 705/2
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 70/40 relating to drugs, e.g. their side effects or intended usage

Abstract

A system and method for generating a medical history that is determined based on the patient'"'"'s medication list. Medications are taken for specific indications, i.e., disease and/or symptom, and the system includes a knowledge base of all known medications and associated indications. Preferably, an expert system allows the patient, nurse or other user, to enter all or part of the name of the patient'"'"'s medications, and creates a list of probable medications by determining which of the known medications the patient most likely takes. Based on a user selected probable medication, the system creates a list of probable medical indications associated with the selected medication. Based on a user selected probable indication, the system generates a medical history for the patient. The probable medications and probable medical indications are determined preferably based on the patient'"'"'s demographic data, historical data for other patients, and responses to follow-up questions generated by the system.

Claims

1. A method for generating a medical history for a patient, comprising:

obtaining from a user an identification of each of the medications the patient is taking;

obtaining demographic data for the patient;

creating a list of probable additional medications using a computer processor, including determining which known medications are the probable medications that are more likely taken by the patient based on the medication identifications received from the user, a first knowledge base of medications, and based on the patient'"'"'s demographic data;

displaying the list of probable medications to the user; and

receiving a selection from the user of one of the probable medications on the list of probable medications;

for each one of the selected probable medications;

(i) creating a list of probable medical indications associated with the respective medication, wherein the probable medical indications are diseases or symptoms, including determining which known medical indications are probable medical indications for which the patient most likely takes the identified medication based on a second knowledge base of known medical indications for the respective medication;

(ii) displaying the list of medical indications to the user; and

(iii) receiving a selection from the user of one or more of the probable medical indications on the list; and

generating a medical history for the patient based on the user selected probable medical indications and respective medications.

2. The method of claim 1, further comprising obtaining historical data for other users of the method;

and wherein the determining of both the probable medications and the probable medical indications are further based on the patient'"'"'s demographic data and the historical data.

3. The method of claim 2, wherein the historical data from other users of the method comprises data for other patients who match at least a portion of the demographic data of the patient.

4. The method of claim 1, further comprising ordering the list of probable medications starting with the known medications most likely taken by the patient.

5. The method of claim 1, wherein the list of probable medical indications is ordered from the most likely probable medical indications sequentially followed by less likely probable medical indications, with the most likely probable medical indications displayed at the top of the list.

6. The method of claim 1, wherein the determining of both the probable medications and the probable medical indications are further based on the patient'"'"'s demographic data.

7. The method of claim 1, further comprising obtaining historical data for other patients who have used the method;

and wherein the determining of both the probable medications and the probable medical indications are further based on the historical data.

8. The method of claim 7, wherein the historical data comprises historical data for other patients who match at least a portion of the demographic data of the patient.

9. The method of claim 1, further comprising:

selectively for each one of the selected probable medications, displaying a question to the user, wherein the question is based at least on the selected probable medication, demographic data for the patient, and historical data for other patients from other users of the method.

10. The method of claim 9, wherein the displaying of the list of probable medical indications to the user includes ordering of the probable medical indications on the list based on a response received from the user to the question.

11. The method of claim 1, further comprising dynamically generating questions in response to previous responses received from the user, to generate additional information for inclusion in the patient'"'"'s medical history.

12. The method of claim 2, wherein the determining is further based on historical data for the patient.

13. The method of claim 1, wherein the user selected probable medical indications and respective medications are provided in the medical history using widely accepted medical terminology.

14. The method of claim 2, wherein the historical data from other users of the method includes inputs provided using the method.

15. The method of claim 2, wherein the demographic data includes at least one of the patient'"'"'s age, gender, diseases, and symptoms.

16. The method of claim 1, wherein the list of medical indications is presented to the user using lay person terminology.

17. The method of claim 1, wherein the at least a portion of the name of the medication used by the patient comprises at least the first two letters of the name.

18. The method of claim 1, further comprising enabling secure viewing of the generated medical history via a network using password access.

19. The method of claim 1, further comprising entering the generated medical history into an electronic medical record.

20. The method of claim 1, wherein the medical history is generated via an expert system and machine learning.

21. The method of claim 1, further comprising presenting one or more questions to the user regarding medical conditions, symptoms, and past surgical history for the patient for which the patient uses no medications;

and wherein the medical history includes information based on user responses to the one or more questions.

22. The method of claim 1, wherein the step of obtaining from a user an identification of each of the medications the patient is taking comprises receiving input from the user of at least a portion of the name of each of the medications the patient is taking, and wherein the step of creating a list of probable medications further includes determining which known medications are the probable medications that are more likely taken by the patient based on the at least a portion of the medication name received from the user.

23. A system for generating an automated medical history of a patient, comprising:

a first database comprising demographic data for the patient;

a user interface for receiving from the user at least a portion of the names of each of the medications;

a second database for storing a library of known medications;

a third database for storing a library of the known medications and their respective indications;

an expert system for creating a list of probable medications based on a determination of which known medications are probable medications based on the at least a portion of the medication name received from the user, the known medications in the second database, and the patient'"'"'s demographic data in the first database;

wherein the user interface is further for displaying the list of probable medications to the user, and for receiving selection from the user of one of the probable medications from the list of probable medications;

the expert system is further for creating a list of probable medical indications associated with the selected probable medication based on a determination of which known medical indications are probable medical indications for which the patient most likely takes the selected medication based on the patient'"'"'s demographic data stored in the first database and the known medications and their respective medical indications stored in the third database;

the user interface is further for displaying the list of probable medical indications to the user and for receiving selection from the user one or more of the probable medical indications on the list of probable medical indications; and

using the expert system, generating a medical history for the patient that includes at least the selected probable medication and the selected one or more probable medical indications.

24. The system of claim 23, further comprising a fourth database for storing questions for capturing medical conditions, symptoms, and past surgical history for the patient for which the patient uses no medications.

25. The system of claim 24, wherein the expert system is further for facilitating the input of information via the user interface by dynamically generating additional questions in response to previous responses provided by the user.

26. The system of claim 23, wherein the expert system includes machine learning capabilities.