# US 12,224,073 B2 · Medical intelligence system and method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,224,073 B2 - Document ID: US12224073B2 - Status: Granted - Kind: B2 - Application number: 17/666,780 - Filed: 2022-02-08 - Published: 2022-08-11 - Granted: 2025-02-11 - Earliest claimed: 2021-02-11 - Assignees: Microsoft Technology Licensing, LLC - Applicants: Microsoft Technology Licensing, LLC - Inventors: Jeremy Martin Jancsary; Joel Praveen Pinto; Uwe Helmut Jost; William F. Ganong, III - Web page: https://patentgrep.com/patent/US12224073B2 ## CPC - G16H 80/00: ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring - G16H 10/20: for electronic clinical trials or questionnaires - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 20/10: relating to drugs or medications, e.g. for ensuring correct administration to patients - G16H 30/40: for processing medical images, e.g. editing - G16H 40/20: for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms - G16H 40/63: for local operation - G16H 40/67: for remote operation - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract A method, computer program product, and computing system for: monitoring a meeting between a patient and a medical entity during a telehealth medical encounter; gathering information during the telehealth medical encounter, thus generating gathered encounter information; and rendering an informational window concerning the telehealth medical encounter for review by the patient and/or the medical entity, wherein the informational window is configured to provide supplemental information based, at least in part, upon the gathered encounter information. ## Claims ### Claim 1 A computer-implemented method, executed on a computing system, comprising: monitoring a meeting between a patient and a medical entity during a telehealth medical encounter; gathering information during the telehealth medical encounter, thus generating gathered encounter information; and rendering an informational window concerning the telehealth medical encounter for review by the patient and/or the medical entity, wherein the informational window is configured to provide supplemental information including artificial intelligence (AI) generated information including one or more of AI-generated best practices information, AI-generated medical encounter workflow information, AI-generated recommendations, and AI-generated suggested inquiry information, and wherein the supplemental information is provided as two or more notifications based, at least in part, upon the gathered encounter information, wherein the informational window is configured to present the two or more notifications concurrently and to visually distinguish between the two or more notifications based on severity, wherein the informational window is configured to visually distinguish between the two or more notifications until at least one of a predefined amount of time passes, the medical entity selects the two or more notifications, or the computing system detects that the medical entity addressed the two or more notifications during the medical encounter, wherein the supplemental information includes at least one of the following: patient allergy information known by the patient but not included within an electronic health record (EHR) of the patient, patient medication information known by the patient but not included within the EHR of the patient, or medication interaction information including known side effects/interactions of medication currently being taken by the patient and known side effects/interactions of medication being considered for the patient. ### Claim 2 (depends on 1) The computer-implemented method of claim 1 wherein the medical entity includes one or more of: a medical professional; and a medical virtual assistant. ### Claim 3 (depends on 1) 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. ### Claim 4 (depends on 1) The computer-implemented method of claim 1 further comprising: enabling the patient and/or the medical entity to adjust one or more of: the size of the informational window; the position of the informational window; the transparency of the informational window; and the content of the informational window. ### Claim 5 (depends on 1) The computer-implemented method of claim 1 further comprising: storing one or more user-defined visual preferences for the informational window for use during subsequent sessions of the informational window. ### Claim 6 (depends on 1) The computer-implemented method of claim 1 wherein the informational window is a transparent overlay informational window. ### Claim 7 (depends on 1) The computer-implemented method of claim 1 wherein the supplemental information provided within the informational window includes one of more of: patient status information; electronic health record (EHR)-provided information; and patient-provided information. ### Claim 8 (depends on 1) The computer-implemented method of claim 1 wherein the patient status information includes one or more of: current patient status information; and historic patient status information. ### Claim 9 (depends on 1) The computer-implemented method of claim 1 wherein AI-generated information further includes: AI-generated observational information. ### Claim 10 (depends on 9) The computer-implemented method of claim 9 wherein the AI-generated observational information includes one or more of: AI-generated audible observational information; and AI-generated visual observational information. ### Claim 11 A computer program product residing on 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 telehealth medical encounter; gathering information during the telehealth medical encounter, thus generating gathered encounter information; and rendering an informational window concerning the telehealth medical encounter for review by the patient and/or the medical entity, wherein the informational window is configured to provide supplemental information including artificial intelligence (AI) generated information including one or more of AI-generated best practices information, AI-generated medical encounter workflow information, AI-generated recommendations, and AI-generated suggested inquiry information, and wherein the supplemental information is provided as two or more notifications based, at least in part, upon the gathered encounter information, wherein the informational window is configured to present the two or more notifications concurrently and to visually distinguish between the two or more notifications based on severity, wherein the informational window is configured to visually distinguish between the two or more notifications until at least one of a predefined amount of time passes, the medical entity selects the two or more notifications, or the computing system detects that the medical entity addressed the two or more notifications during the medical encounter, wherein the supplemental information includes at least one of the following: patient allergy information known by the patient but not included within an electronic health record (EHR) of the patient, patient medication information known by the patient but not included within the EHR of the patient, or medication interaction information including known side effects/interactions of medication currently being taken by the patient and known side effects/interactions of medication being considered for the patient. ### Claim 12 (depends on 11) The computer program product of claim 11 wherein the medical entity includes one or more of: a medical professional; and a medical virtual assistant. ### Claim 13 (depends on 11) The computer program product of claim 11 wherein the meeting includes one or more of: an intake portion; a consultation portion; and a follow-up portion. ### Claim 14 (depends on 11) The computer program product of claim 11 further comprising: enabling the patient and/or the medical entity to adjust one or more of: the size of the informational window; the position of the informational window; the transparency of the informational window; and the content of the informational window. ### Claim 15 (depends on 11) The computer program product of claim 11 further comprising: storing one or more user-defined visual preferences for the informational window for use during subsequent sessions of the informational window. ### Claim 16 (depends on 11) The computer program product of claim 11 wherein the informational window is a transparent overlay informational window. ### Claim 17 (depends on 11) The computer program product of claim 11 wherein the supplemental information provided within the informational window includes one of more of: patient status information; electronic health record (EHR)-provided information; patient-provided information. ### Claim 18 (depends on 11) The computer program product of claim 11 wherein the patient status information includes one or more of: current patient status information; and historic patient status information. ### Claim 19 (depends on 11) The computer program product of claim 11 wherein AI-generated information further includes: AI-generated observational information. ### Claim 20 (depends on 19) The computer program product of claim 19 wherein the AI-generated observational information includes one or more of: AI-generated audible observational information; and AI-generated visual observational information. ### Claim 21 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 telehealth medical encounter; gathering information during the telehealth medical encounter, thus generating gathered encounter information; and rendering an informational window concerning the telehealth medical encounter for review by the patient and/or the medical entity, wherein the informational window is configured to provide supplemental information including artificial intelligence (AI) generated information including one or more of AI-generated best practices information, AI-generated medical encounter workflow information, AI-generated recommendations, and AI-generated suggested inquiry information, and wherein the supplemental information is provided as two or more notifications based, at least in part, upon the gathered encounter information, wherein the informational window is configured to present the two or more notifications concurrently and to visually distinguish between the two or more notifications based on severity, wherein the informational window is configured to visually distinguish between the two or more notifications until at least one of a predefined amount of time passes, the medical entity selects the two or more notifications, or the computing system detects that the medical entity addressed the two or more notifications during the medical encounter, wherein the supplemental information includes at least one of the following: patient allergy information known by the patient but not included within an electronic health record (EHR) of the patient, patient medication information known by the patient but not included within the EHR of the patient, or medication interaction information including known side effects/interactions of medication currently being taken by the patient and known side effects/interactions of medication being considered for the patient. ### Claim 22 (depends on 21) The computing system of claim 21 wherein the medical entity includes one or more of: a medical professional; and a medical virtual assistant. ### Claim 23 (depends on 21) The computing system of claim 21 wherein the meeting includes one or more of: an intake portion; a consultation portion; and a follow-up portion. ### Claim 24 (depends on 21) The computing system of claim 21 further comprising: enabling the patient and/or the medical entity to adjust one or more of: the size of the informational window; the position of the informational window; the transparency of the informational window; and the content of the informational window. ### Claim 25 (depends on 21) The computing system of claim 21 further comprising: storing one or more user-defined visual preferences for the informational window for use during subsequent sessions of the informational window. ### Claim 26 (depends on 21) The computing system of claim 21 wherein the informational window is a transparent overlay informational window. ### Claim 27 (depends on 21) The computing system of claim 21 wherein the supplemental information provided within the informational window includes one or more of: patient status information; electronic health record (EHR)-provided information; patient-provided information. ### Claim 28 (depends on 21) The computing system of claim 21 wherein the patient status information includes one or more of: current patient status information; and historic patient status information. ### Claim 29 (depends on 21) The computing system of claim 21 wherein AI-generated information further includes: AI-generated observational information. ### Claim 30 (depends on 29) The computing system of claim 29 wherein the AI-generated observational information includes one or more of: AI-generated audible observational information; and AI-generated visual observational information.