IP Library Granted Patent US 12,211,626
Granted Patent B2
US 12,211,626 · App. 17/666,854 · Granted Jan 28, 2025

Medical intelligence system and method

Inventors: Jeremy Martin Jancsary (Vienna, AT); Joel Praveen Pinto (Aachen, DE); Uwe Helmut Jost (Groton, MA); William F. Ganong, III (Brookline, MA)
Assignee: Microsoft Technology Licensing, LLC
G16H80/00G16H10/60G16H20/10G16H30/40G16H40/20G16H40/63G16H40/67G16H50/20
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Quick Facts
Patent No.
US 12,211,626
App. No.
17/666,854
Granted
Jan 28, 2025
Kind
B2
Abstract

A method, computer program product, and computing system for: monitoring a meeting between a patient and a medical entity during a medical encounter; gathering information during the medical encounter, thus generating gathered encounter information; generating medical encounter topical information via artificial intelligence, wherein the medical encounter topical information is based at least in part upon the gathered encounter information and is configured to provide guidance to the medical entity concerning one or more topics to be discussed during the medical encounter; and providing the medical encounter topical information to the medical entity.

Claims (72)

1. A computer-implemented method, executed on a computing system, comprising:

monitoring a meeting between a patient and a medical entity during a medical encounter;

gathering information during the medical encounter, thus generating gathered encounter information;

generating medical encounter topical information via artificial intelligence, wherein the medical encounter topical information is based at least in part upon the gathered encounter information and is configured to provide guidance to the medical entity concerning one or more topics to be discussed during the medical encounter;

providing the medical encounter topical information to the medical entity; and

processing performance feedback concerning the medical encounter topical information provided by the medical entity, wherein the performance feedback includes one or more of an active component configured to prompt the medical entity to confirm whether or not the medical encounter topical information provided was helpful, and a passive component configured to monitor and compare actions taken by the medical entity with the guidance provided to the medical entity to determine a degree of compliance by the medical entity with the guidance provided.

2. The computer-implemented method of claim 1 wherein the medical entity includes one or more of:

a medical professional; and

a medical virtual assistant.

3. The computer-implemented method of claim 1 wherein the meeting includes one or more of:

an intake portion;

a consultation portion; and

a follow-up portion.

4. The computer-implemented method of claim 1 wherein the medical encounter includes one or more of:

an in-person medical encounter; and

a telehealth medical encounter.

5. The computer-implemented method of claim 1 wherein providing the medical encounter topical information to the medical entity includes:

providing the medical encounter topical information to the medical entity via an informational window.

6. The computer-implemented method of claim 5 wherein the informational window is a transparent overlay informational window.

7. The computer-implemented method of claim 1 wherein generating medical encounter topical information via artificial intelligence includes:

generating initial medical encounter topical information in response to initial information gathered during the medical encounter; and

generating supplemental medical encounter topical information in response to supplemental information gathered during the medical encounter.

8. The computer-implemented method of claim 1 wherein the medical encounter topical information is based upon one or more best practices.

9. The computer-implemented method of claim 8 wherein the one or more best practices are definable by one or more medical organizations/institutions.

10. A non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:

monitoring a meeting between a patient and a medical entity during a medical encounter;

gathering information during the medical encounter, thus generating gathered encounter information;

generating medical encounter topical information via artificial intelligence, wherein the medical encounter topical information is based at least in part upon the gathered encounter information and is configured to provide guidance to the medical entity concerning one or more topics to be discussed during the medical encounter;

providing the medical encounter topical information to the medical entity; and

processing performance feedback concerning the medical encounter topical information provided by the medical entity, wherein the performance feedback includes one or more of an active component configured to prompt the medical entity to confirm whether or not the medical encounter topical information provided was helpful, and a passive component configured to monitor and compare actions taken by the medical entity with the guidance provided to the medical entity to determine a degree of compliance by the medical entity with the guidance provided.

11. The non-transitory computer readable medium of claim 10 wherein the medical entity includes one or more of:

a medical professional; and

a medical virtual assistant.

12. The non-transitory computer readable medium of claim 10 wherein the meeting includes one or more of:

an intake portion;

a consultation portion; and

a follow-up portion.

13. The non-transitory computer readable medium of claim 10 wherein the medical encounter includes one or more of:

an in-person medical encounter; and

a telehealth medical encounter.

14. The non-transitory computer readable medium of claim 10 wherein providing the medical encounter topical information to the medical entity includes:

providing the medical encounter topical information to the medical entity via an informational window.

15. The non-transitory computer readable medium of claim 14 wherein the informational window is a transparent overlay informational window.

16. The non-transitory computer readable medium of claim 10 wherein generating medical encounter topical information via artificial intelligence includes:

generating initial medical encounter topical information in response to initial information gathered during the medical encounter; and

generating supplemental medical encounter topical information in response to supplemental information gathered during the medical encounter.

17. The non-transitory computer readable medium of claim 10 wherein the medical encounter topical information is based upon one or more best practices.

18. The non-transitory computer readable medium of claim 17 wherein the one or more best practices are definable by one or more medical organizations/institutions.

19. A computing system including a processor and memory configured to perform operations comprising:

monitoring a meeting between a patient and a medical entity during a medical encounter;

gathering information during the medical encounter, thus generating gathered encounter information;

generating medical encounter topical information via artificial intelligence, wherein the medical encounter topical information is based at least in part upon the gathered encounter information and is configured to provide guidance to the medical entity concerning one or more topics to be discussed during the medical encounter;

providing the medical encounter topical information to the medical entity; and

processing performance feedback concerning the medical encounter topical information provided by the medical entity, wherein the performance feedback includes one or more of an active component configured to prompt the medical entity to confirm whether or not the medical encounter topical information provided was helpful, and a passive component configured to monitor and compare actions taken by the medical entity with the guidance provided to the medical entity to determine a degree of compliance by the medical entity with the guidance provided.

20. The computing system of claim 19 wherein the medical entity includes one or more of:

a medical professional; and

a medical virtual assistant.

21. The computing system of claim 19 wherein the meeting includes one or more of:

an intake portion;

a consultation portion; and

a follow-up portion.

22. The computing system of claim 19 wherein the medical encounter includes one or more of:

an in-person medical encounter; and

a telehealth medical encounter.

23. The computing system of claim 19 wherein providing the medical encounter topical information to the medical entity includes:

providing the medical encounter topical information to the medical entity via an informational window.

24. The computing system of claim 23 wherein the informational window is a transparent overlay informational window.

25. The computing system of claim 19 wherein generating medical encounter topical information via artificial intelligence includes:

generating initial medical encounter topical information in response to initial information gathered during the medical encounter; and

generating supplemental medical encounter topical information in response to supplemental information gathered during the medical encounter.

26. The computing system of claim 19 wherein the medical encounter topical information is based upon one or more best practices.

27. The computing system of claim 26 wherein the one or more best practices are definable by one or more medical organizations/institutions.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 14, 2023
From: NUANCE COMMUNICATIONS, INC.
To: MICROSOFT TECHNOLOGY LICENSING, LLC
Reel/Frame 065578/0676 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 26, 2022
From: JANCSARY, JEREMY MARTIN; PINTO, JOEL PRAVEEN; JOST, UWE HELMUT; GANONG, WILLIAM F., III
To: NUANCE COMMUNICATIONS, INC.
Reel/Frame 060913/0986 →
Continuity (2)
Provisional Application 63148458 · Feb 11, 2021
Related Publication 20220254517A1 · Aug 11, 2022
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