SYSTEMS AND METHODS FOR DELIVERING ANALYSIS TOOLS IN A CLINICAL PRACTICE

• US 20140081650A1
• Filed: 09/09/2013
• Published: 03/20/2014
• Est. Priority Date: 09/07/2012
• Status: Abandoned Application

• Current Assignee: Gary Sachs
• Original Assignee: Gary Sachs
• Inventors: Sachs, Gary
• Application Number:
  US14/021,328
• Publication Number:
  US 20140081650A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

Provided are systems and methods for capturing and analyzing medical information. In one embodiment, the system includes an interface component configured to accept user responses to medical survey questions, a transformation component configured to transform survey responses associated with a plurality of analysis metrics into a common scale, an evaluation component configured to evaluate the survey responses from the plurality of analysis metrics against a predefined diagnostic threshold, and a display component configured to generate a summary view. Further provided are evidence-based systems and methods that facilitate collection and appreciation of patient information. The systems and methods include any one or more of: (1) shifting routine information collection outside the visit; (2) providing an intuitive system with minimal training requirements; (3) delivering high quality inputs to prepare and inform clinical decision makers; and (4) minimizing information overload, for example, by automatically identifying clinical indicators most relevant to potential issues.

Claims

1. A system for capturing and analyzing medical information, the system comprising:

at least one processor operatively connected to a memory, wherein the processor is configured to execute system components from the memory;

an interface component configured to accept user responses to medical survey questions;

a transformation component configured to transform survey responses associated with a plurality of analysis metrics into a common scale;

an evaluation component configured to evaluate the survey responses from the plurality of analysis metrics against a predefined diagnostic threshold, wherein the evaluation component is further configured to identify any medical characteristics that exceed the diagnostic threshold; and

a display component configured to generate a summary view including at least the medical characteristics that exceed the diagnostic threshold and the diagnostic threshold applied.

2. The system according to claim 1, wherein the medical survey questions are configured to assess mood disorder information, and wherein the interface component is further configured to present questions directed to a plurality of mood disorder rating scales.

3. The system according to claim 2, wherein the transformation component is further configured to transform survey responses into a common severity rating of a mood disorder symptom.

4. The system according to claim 2, wherein the diagnostic threshold is defined against criteria for establishing a formal clinical diagnosis of a mood disorder.

5. The system according to claim 3, wherein the display component is configured to generate a graphical view of the results of answered questions directed to a plurality of mood disorder rating scales;

and highlight scores exceeding the diagnostic threshold.

6. The system according to claim 3, wherein the display component is configured to generate a tabular view of the results of answered questions directed to a plurality of mood disorder rating scales.

7. The system according to claim 3, wherein the display component is configured to display diagnostic scores from multiple scoring systems organized by category.

8. The system according to claim 7, wherein the display component is further configured to highlight diagnostic scores exceeding threshold obtained from multiple score systems for a respective category.

9. The system according to claim 1, wherein the evaluation component is further configured to auto-generate clinician notes by aggregating patient data and pre-existing evidenced-based treatment information.

10. The system according to claim 9, wherein the evaluation component is further configured to match a current patient with an existing patient having similar mood disorder characteristics, and present any notes for the existing patient as candidates for including in a current note.

11. The system according to claim 9, wherein the auto-generated clinician notes generated by the evaluation component are configured for editing by a user with permissions for editing the notes.

12. The system according to claim 4, wherein the evaluation component is further configured to generate a recommended course of patient treatment based on aggregated patient data identifying medical characteristics that exceed the predefined diagnostic threshold.

13. The system according to claim 12, wherein the evaluation component is configured to match a current patient with at least one existing patient having similar mood disorder characteristics, and identify treatment options for the at least one existing patient as candidate treatment options.

14. The system according to claim 12, wherein the evaluation component is further configured to generate a recommended course of patient treatment based on a formal diagnosis of a patient'"'"'s condition.

15. The system according to claim 14, wherein the evaluation component is configured to match the formal diagnosis to at least one existing patient, and identify treatment options for the at least one existing patient as candidate treatment options.

16. A computer implemented method for capturing and analyzing medical information, the method comprising the acts of:

accepting, from a user interface, user responses to medical survey questions;

transforming, by a computer system, responses associated with a plurality of analysis metrics into a common scale;

evaluating, by the computer system, survey responses from the plurality of analysis metrics against a predefined diagnostic threshold, wherein the act of evaluating includes identifying any medical characteristics that exceed the diagnostic threshold; and

generating, by the computer system, a summary view for display on a host computer system including at least the medical characteristics that exceed the diagnostic threshold and the diagnostic threshold applied.

17. The method according to claim 16, wherein the medical survey questions are directed to assessing mood disorder information, and wherein the act of accepting includes an act of presenting to a host computer system questions directed to a plurality of mood disorder rating scales.

18. The method according to claim 17, wherein the act of transforming includes transforming survey responses into a common severity rating of a mood disorder symptom.

19. The method according to claim 17, wherein the diagnostic threshold is defined against criteria for establishing a formal clinical diagnosis of a mood disorder.

20. The method according to claim 18, wherein the act of generating a summary view further comprises displaying in graphical form the results of answered questions directed to a plurality of mood disorder rating scales.

21. The method according to claim 20, wherein the act of generating a summary view further comprises displaying in graphical form a visual indication highlighting diagnostic scores that exceed the diagnostic threshold.

22. The method according to claim 18, wherein the act of generating a summary view further comprises displaying in tabular form the results of answered questions directed to a plurality of mood disorder rating scales.

23. The method according to claim 16, wherein the act of evaluating survey responses further comprises auto-generating clinician notes by aggregating patient data and pre-existing evidenced-based treatment information.

24. The method according to claim 23, wherein auto-generating includes matching a current patient with an existing patient having similar mood disorder characteristics, and presenting any notes for the existing patient as candidates for including in a current note.

25. The method according to claim 23, wherein the auto-generating of notes further comprises providing functionality for manually editing the auto-generated notes by a user with appropriate permissions for editing.

26. The method according to claim 16, wherein the act of evaluating survey responses further comprises generating a recommended course of patient treatment based on aggregated patient data identifying medical characteristics that exceed the predefined threshold.

27. The method according to claim 17, wherein the act of evaluating survey responses further comprises generating a recommended diagnosis based on aggregated patient data identifying medical characteristics that exceed the predefined threshold.

28. The method according to claim 23, wherein the act of evaluating survey responses further comprises generating a recommended course of patient treatment based on a formal diagnosis of a patient'"'"'s condition.