Medical intelligence system and method
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, wherein the gathered encounter information includes audio-based content of the patient; generating audio-based content information via artificial intelligence, wherein the audio-based content information is based at least in part upon the audio-based content and/or the gathered encounter information and is configured to provide guidance to the medical entity concerning the audio-based content; and providing the audio-based content information to the medical entity.
1 . A computer-implemented method, executed on a computing system, comprising:
monitoring, by an ambient cooperative intelligence (ACI) system, a medical encounter between a patient and a medical entity in a clinical environment;
detecting, by one or more machine vision devices of the ACI system, a position of the patient within the clinical environment, the ACI system including discrete audio acquisition devices forming a microphone array within the clinical environment;
steering, by the ACI system, one or more audio recording beams of the one or more discrete audio acquisition devices toward the detected position of the patient within the clinical environment during the medical encounter, wherein the one or more discrete audio acquisition devices are configured to directionally record audio-based content of the patient using the one or more audio recording beams;
processing, via artificial intelligence of the ACI system without human intervention, the audio-based content to identify one or more potential conditions of the patient, wherein processing the audio-based content includes comparing the audio-based content to information associated with one or more ailments to identify the one or more potential conditions of the patient; and
providing, by the ACI system, an indication of the one or more potential conditions of the patient to the medical entity, the indication of the one or more potential conditions of the patient being provided to guide the medical entity in diagnosing the patient.
2 . The computer-implemented method of claim 1 , wherein the medical entity is a medical professional.
3 . The computer-implemented method of claim 1 , wherein the medical encounter 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 indication of the one or more potential conditions of the patient is displayed to the medical entity via a transparent overlay informational window, the transparent overlay informational window superimposed over other images or information such that the transparent overlay informational window does not obscure the other images or information.
5 . The computer-implemented method of claim 4 , wherein the transparent overlay informational window is configured as a heads up display.
6 . A computer program product residing on a computer readable medium having programming instructions stored thereon which, when executed by one or more processors of an ambient cooperative intelligence (ACI) system, cause the ACI system to perform operations comprising:
monitoring a medical encounter between a patient and a medical entity in a clinical environment;
detecting, by one or more machine vision devices of the ACI system, a position of the patient within the clinical environment, the ACI system including discrete audio acquisition devices forming a microphone array within the clinical environment;
steering one or more audio recording beams of the one or more discrete audio acquisition devices toward the detected position of the patient within the clinical environment during the medical encounter, wherein the one or more discrete audio acquisition devices are configured to directionally record audio-based content of the patient using the one or more audio recording beams;
processing, via artificial intelligence of the ACI system without human intervention, the audio-based content to identify one or more potential conditions of the patient, wherein processing the audio-based content includes comparing the audio-based content to information associated with one or more ailments to identify the one or more potential conditions of the patient; and
providing an indication of the one or more potential conditions of the patient to the medical entity, the indication of the one or more potential conditions of the patient being provided to guide the medical entity in diagnosing the patient.
7 . The computer program product of claim 6 , wherein the medical entity is a medical professional.
8 . The computer program product of claim 6 , wherein the medical encounter includes one or more of:
an intake portion;
a consultation portion; and
a follow-up portion.
9 . The computer program product of claim 6 , wherein the indication of the one or more potential conditions of the patient is displayed to the medical entity via a transparent overlay informational window, the transparent overlay informational window superimposed over other images or information such that the transparent overlay informational window does not obscure the other images or information.
10 . The computer program product of claim 9 , wherein the transparent overlay informational window is configured as a heads up display.
11 . The computer program product of claim 6 , wherein generating audio-based content information via artificial intelligence includes:
comparing a current version of the audio-based content to a previous version of the audio-based content to determine if the audio-based content has changed.
12 . An ambient cooperative intelligence (ACI) system including one or more processors and a computer readable medium having programming instructions stored thereon which, when executed by one or more processors, cause the ACI system to perform operations comprising:
monitoring a medical encounter between a patient and a medical entity in a clinical environment;
detecting, by one or more machine vision devices of the ACI system, a position of the patient within the clinical environment, the ACI system including discrete audio acquisition devices forming a microphone array within the clinical environment;
steering one or more audio recording beams of the one or more discrete audio acquisition devices toward the detected position of the patient within the clinical environment during the medical encounter, wherein the one or more discrete audio acquisition devices are configured to directionally record audio-based content of the patient using the one or more audio recording beams;
processing, via artificial intelligence of the ACI system without human intervention, the audio-based content to identify one or more potential conditions of the patient, wherein processing the audio-based content includes comparing the audio-based content to information associated with one or more ailments to identify the one or more potential conditions of the patient; and
providing an indication of the one or more potential conditions of the patient to the medical entity, the indication of the one or more potential conditions of the patient being provided to guide the medical entity in diagnosing the patient.
13 . The ACI system of claim 12 , wherein the medical entity is a medical professional.
14 . The ACI system of claim 12 , wherein the medical encounter includes one or more of:
an intake portion;
a consultation portion; and
a follow-up portion.
15 . The ACI system of claim 12 , wherein the indication of the one or more potential conditions of the patient is displayed to the medical entity via a transparent overlay informational window, the transparent overlay informational window superimposed over other images or information such that the transparent overlay informational window does not obscure the other images or information.
16 . The ACI system of claim 15 , wherein the transparent overlay informational window is configured as a heads up display.
17 . The ACI system of claim 12 , wherein generating audio-based content information via artificial intelligence includes:
comparing a current version of the audio-based content to a previous version of the audio-based content to determine if the audio-based content has changed.
18 . The ACI system of claim 12 , wherein the one or more machine vision devices of the ACI system include red, green, blue (RGB) sensors.
19 . The ACI system of claim 12 , wherein the one or more machine vision devices of the ACI system include infrared sensors.
20 . The ACI system of claim 12 , wherein the one or more machine vision devices of the ACI system include ultraviolet sensors.
21 . The ACI system of claim 12 , wherein the one or more machine vision devices of the ACI system include SONAR sensors, RADAR sensors, or thermal imaging sensors.
22 . The computer program product of claim 6 , wherein the one or more machine vision devices of the ACI system include red, green, blue (RGB) sensors.
23 . The computer program product of claim 6 , wherein the one or more machine vision devices of the ACI system include infrared sensors.
24 . The computer program product of claim 6 , wherein the one or more machine vision devices of the ACI system include ultraviolet sensors.
25 . The computer program product of claim 6 , wherein the one or more machine vision devices of the ACI system include SONAR sensors, RADAR sensors, or thermal imaging sensors.
26 . The computer-implemented method of claim 1 , wherein the one or more machine vision devices of the ACI system include red, green, blue (RGB) sensors.
27 . The computer-implemented method of claim 1 , wherein the one or more machine vision devices of the ACI system include infrared sensors.
28 . The computer-implemented method of claim 1 , wherein the one or more machine vision devices of the ACI system include ultraviolet sensors.
29 . The computer-implemented method of claim 1 , wherein the one or more machine vision devices of the ACI system include SONAR sensors, RADAR sensors, or thermal imaging sensors.