Halo-safe ai and methods of making and using same
OwnerMark T. McBride, John Roughneen +1inventors
InventorsMark T. McBride, John Roughneen, Glenn Butler
Life of this patent
Estimating the term…
Abstract
Systems, methods, and other embodiments for a novel analyzing operating condition parameters for medical devices, and more specifically, to a system and method that can analyze operating condition parameters of medical devices and determine if there is a correlation between the various operating condition parameters of a medical device and how the medical device is operating and provide (or predict) a recommended corrective action to correct the operating conditions of the medical device.
Claims20
A computer-implemented method for predicting a recommended corrective action to correct an operating condition of a medical device performed by a computing device, where the computing device includes at least a processor for executing instructions from a memory, the method comprising:
- providing a surgical gown;
- providing a surgical hood operatively connected to the surgical gown, wherein the hood is configured to be located over a head and neck area of a wearer such that the head and neck area of the wearer are substantially enclosed within the hood;
- providing a medical device located within the surgical gown and the surgical hood, wherein the medical device includes a ventilation system that is configured to be retained by shoulders of the wearer of the ventilation system in order to provide ventilation air within the surgical gown and surgical hood;
- training, using a machine learning model, a recommended corrective action predictor associated with correcting an operating condition of the ventilation system, wherein the recommended corrective action predictor implements machine learning techniques comprising a neural network, wherein the recommended corrective action predictor was trained using data obtained from a sensor associated with the ventilation system, wherein the data is related to known operating conditions of the ventilation system;
- and wherein the data related to known operating conditions of the ventilation system is stored in a database;
- determining, by the recommended corrective action predictor, if the data related to known operating conditions of the ventilation system is related to a known operating condition that exceeded an operating condition parameter threshold;
- providing, from the processor to the recommended corrective action predictor, known corrective actions that have previously been used to correct known operating conditions of the ventilation system that exceeded desired thresholds, wherein the known corrective actions are stored in a database;
- providing, to the recommended corrective action predictor, at least one current operating condition of the ventilation system;
- determining, by the recommended corrective action predictor, if the at least one current operating condition of the ventilation system is exceeding an operating condition parameter threshold;
- determining, by the recommended corrective action predictor, if the current operating condition of the ventilation system is exceeded an operating condition parameter threshold that is similar to at least one of the known operating condition parameter thresholds;
- upon determining, by the recommended corrective action predictor, that the current operating condition of the ventilation system is exceeded an operating condition parameter threshold that is similar to at least one of the known operating condition parameter thresholds, querying, by the recommended corrective action predictor, the database for known corrective actions that have been used to correct a similar medical device operating condition that exceeded the operating condition parameter threshold;
- upon finding known corrective actions, by the recommended corrective action predictor, retrieving the known corrective actions from the database;
- correlating, by the recommended corrective action predictor, the known corrective action with the current operating condition of the ventilation system that is exceeded an operating condition parameter threshold to create a recommended corrective action;
- generating, by the recommended corrective action predictor, an electronic message, wherein the electronic message includes a data structure which includes the recommended corrective action;
- transmitting, by the recommended corrective action predictor, the electronic message to a remote computer associated with the a user;
- and
- in response to receiving the electronic message, completing the corrective action on the ventilation system.
A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a computer including a processor, cause the computer to perform functions configured by the computer-executable instructions for predicting a recommended corrective action to correct an operating condition of a medical device, wherein the instructions comprise:
- providing a surgical gown;
- providing a surgical hood operatively connected to the surgical gown, wherein the hood is configured to be located over a head and neck area of a wearer such that the head and neck area of the wearer are substantially enclosed within the hood;
- providing a medical device located within the surgical gown and the surgical hood, wherein the medical device includes a ventilation system that is configured to be retained by shoulders of the wearer of the ventilation system in order to provide ventilation air within the surgical gown and surgical hood;
- training, using a machine learning model, a recommended corrective action predictor associated with correcting an operating condition of the ventilation system, wherein the recommended corrective action predictor implements machine learning techniques comprising a neural network, wherein the recommended corrective action predictor was trained using data obtained from a sensor associated with the ventilation system, wherein the data is related to known operating conditions of the ventilation system;
- and wherein the data related to known operating conditions of the ventilation system is stored in a database;
- determining, by the recommended corrective action predictor, if the data related to known operating conditions of the ventilation system is related to a known operating condition that exceeded an operating condition parameter threshold;
- providing, from the processor to the recommended corrective action predictor, known corrective actions that have previously been used to correct known operating conditions of the ventilation system that exceeded desired thresholds, wherein the known corrective actions are stored in a database;
- providing, to the recommended corrective action predictor, at least one current operating condition of the ventilation system;
- determining, by the recommended corrective action predictor, if the at least one current operating condition of the ventilation system is exceeding an operating condition parameter threshold;
- determining, by the recommended corrective action predictor, if the current operating condition of the ventilation system is exceeded an operating condition parameter threshold that is similar to at least one of the known operating condition parameter thresholds;
- upon determining, by the recommended corrective action predictor, that the current operating condition of the ventilation system is exceeded an operating condition parameter threshold that is similar to at least one of the known operating condition parameter thresholds, querying, by the recommended corrective action predictor, the database for known corrective actions that have been used to correct a similar medical device operating condition that exceeded the operating condition parameter threshold;
- upon finding known corrective actions, by the recommended corrective action predictor, retrieving the known corrective actions from the database;
- correlating, by the recommended corrective action predictor, the known corrective action with the current operating condition of the ventilation system that is exceeded an operating condition parameter threshold to create a recommended corrective action;
- generating, by the recommended corrective action predictor, an electronic message, wherein the electronic message includes a data structure which includes the recommended corrective action;
- transmitting, by the recommended corrective action predictor, the electronic message to a remote computer associated with the a user;
- and
- in response to receiving the electronic message, completing the corrective action on the ventilation system.
A system for predicting a recommended corrective action to correct an operating condition of a medical device, comprising:
- a surgical gown;
- a surgical hood operatively connected to the surgical gown, wherein the hood is configured to be located over a head and neck area of a wearer such that the head and neck area of the wearer are substantially enclosed within the hood;
- a medical device located within the surgical gown and the surgical hood, wherein the medical device includes a ventilation system that is configured to be retained by shoulders of the wearer of the ventilation system in order to provide ventilation air within the surgical gown and surgical hood;
- at least one processor connected to at least one memory;
- and
- a non-transitory computer readable medium including instructions stored thereon that, when executed by the at least one processor, cause the at least one processor to:
- train, using a machine learning model, a recommended corrective action predictor associated with correcting an operating condition of the ventilation system, wherein the recommended corrective action predictor implements machine learning techniques comprising a neural network, wherein the recommended corrective action predictor was trained using data obtained from a sensor associated with the ventilation system, wherein the data is related to known operating conditions of the ventilation system;
- and wherein the data related to known operating conditions of the ventilation system is stored in a database;
- determine, by the recommended corrective action predictor, if the data related to known operating conditions of the ventilation system is related to a known operating condition that exceeded an operating condition parameter threshold;
- provide, from the processor to the recommended corrective action predictor, known corrective actions that have previously been used to correct known operating conditions of the ventilation system that exceeded desired thresholds, wherein the known corrective actions are stored in a database;
- provide, to the recommended corrective action predictor, at least one current operating condition of the ventilation system;
- determine, by the recommended corrective action predictor, if the at least one current operating condition of the ventilation system is exceeding an operating condition parameter threshold;
- determine, by the recommended corrective action predictor, if the current operating condition of the ventilation system is exceeded an operating condition parameter threshold that is similar to at least one of the known operating condition parameter thresholds;
- upon determining, by the recommended corrective action predictor, that the current operating condition of the ventilation system is exceeded an operating condition parameter threshold that is similar to at least one of the known operating condition parameter thresholds, query, by the recommended corrective action predictor, the database for known corrective actions that have been used to correct a similar medical device operating condition that exceeded the operating condition parameter threshold;
- upon finding known corrective actions, by the recommended corrective action predictor, retrieve the known corrective actions from the database;
- correlate, by the recommended corrective action predictor, the known corrective action with the current operating condition of the ventilation system that is exceeded an operating condition parameter threshold to create a recommended corrective action;
- generate, by the recommended corrective action predictor, an electronic message, wherein the electronic message includes a data structure which includes the recommended corrective action;
- transmit, by the recommended corrective action predictor, the electronic message to a remote computer associated with the a user;
- and
- in response to receiving the electronic message, complete the corrective action on the ventilation system.
Dependencies are inferred from the claim text.