Vehicular medical assistant

1. A computer-implemented method for mitigating a medical event in a vehicle, the method comprising:

downloading instructions to the vehicle from a server data processing system to provide vehicular medical assistant functionality to the vehicle;

accessing a medical data store comprising diagnostic data, medical conditions, and mitigation actions, wherein the diagnostic data, medical conditions, and mitigation actions are interrelated using machine learning algorithms;

detecting a medical event based on a set of data associated with a passenger in the vehicle and the medical data store, wherein the set of data associated with the passenger is received from a plurality of sensors in the vehicle, wherein the plurality of sensors comprises a biometric sensor collecting biometric data from the passenger, an aural sensor collecting aural data from the passenger, a visual sensor collecting visual data from the passenger, and an environmental sensor collecting environmental data from the vehicle, wherein the set of data associated with the passenger comprises the aural data, the biometric data, the visual data, and the environmental data;

implementing a mitigation action in response to detecting the medical event, wherein the mitigation action comprises an interaction with the passenger and a modification to the vehicle;

metering use of the vehicular medical assistant functionality in the vehicle; and

generating an invoice in response to metering use of the vehicular medical assistant functionality.

2. The method according to claim 1 , wherein accessing the medical data store further comprises:

retrieving a corpus of medical data, wherein the corpus of medical data comprises diagnostic data, medical condition data, and mitigation data;

performing cognitive learning on the corpus of medical data; and

generating a medical event index based on performing cognitive learning on the corpus of medical data, wherein the medical event index interrelates medical risk assessment values, notifications, and mitigation actions.

3. The method according to claim 2 , wherein detecting a medical event further comprises:

calculating a first medical risk assessment value based on the aural data, the biometric data, the visual data, and the environmental data; and

identifying a medical condition based on the aural data, the biometric data, the visual data, and the environmental data.

4. The method according to claim 3 , wherein implementing a mitigation action further comprises:

identifying a first mitigation action based on the first medical risk assessment value and the medical event index;

implementing the first mitigation action; and

notifying the passenger of the medical condition and the first mitigation action.

5. The method according to claim 1 , wherein implementing a mitigation action further comprises:

communicating with the passenger regarding the medical event; and

dispensing a medical aid to the passenger.

6. The method according to claim 1 , wherein implementing a mitigation action further comprises:

modifying a route of the vehicle, using autonomous driving features, to an emergency center using a first route.

7. The method according to claim 6 , wherein modifying a route of the vehicle to an emergency center further comprises:

communicating with a traffic service to identify the first route and determine an estimated arrival time; and

notifying the emergency center of the medical event, the first route, and the estimated arrival time.

8. The method according to claim 1 , wherein implementing a mitigation action further comprises:

altering a temperature of the vehicle by modifying a temperature control and a fan speed control of the vehicle.

9. The method according to claim 1 , wherein implementing a mitigation action further comprises:

notifying an emergency authority of the medical event and a location of the vehicle.

10. A system for mitigating a medical event in a vehicle, the system comprising:

a processor; and

a computer-readable storage medium storing instructions, which, when executed by the processor, are configured to cause the processor to perform a method, wherein the computer readable storage medium storing the instructions is located in a server data processing system, and wherein the instructions are downloaded over a network to the vehicle to provide vehicular medical assistant functionality to the vehicle, the method comprising:

accessing a medical data store comprising diagnostic data, medical conditions, and mitigation actions, wherein the diagnostic data, medical conditions, and mitigation actions are interrelated using machine learning algorithms;

detecting a medical event based on a set of data associated with a passenger in the vehicle and the medical data store, wherein the set of data associated with the passenger is received from a plurality of sensors in the vehicle, wherein the plurality of sensors comprises a biometric sensor collecting biometric data from the passenger, an aural sensor collecting aural data from the passenger, a visual sensor collecting visual data from the passenger, and an environmental sensor collecting environmental data from the vehicle, wherein the set of data associated with the passenger comprises the aural data, the biometric data, the visual data, and the environmental data;

implementing a mitigation action in response to detecting the medical event, wherein the mitigation action comprises an interaction with the passenger and a modification to the vehicle;

metering use of the vehicular medical assistant functionality in the vehicle; and

generating an invoice in response to metering use of the vehicular medical assistant functionality.

11. The system according to claim 10 , wherein accessing the medical data store further comprises:

retrieving a corpus of medical data, wherein the corpus of medical data comprises diagnostic data, medical condition data, and mitigation data;

performing cognitive learning on the corpus of medical data; and

generating a medical event index based on performing cognitive learning on the corpus of medical data, wherein the medical event index interrelates medical risk assessment values, notifications, and mitigation actions.

12. The system according to claim 11 , wherein implementing a mitigation action further comprises:

identifying a first mitigation action based on the aural data, the biometric data, the visual data, the environmental data, and the medical event index;

implementing the first mitigation action; and

notifying the passenger of the first mitigation action.

13. The system according to claim 10 , wherein implementing a mitigation action further comprises:

communicating with the passenger regarding the medical event;

dispensing a medical aid to the passenger;

storing a recording of the passenger using the medical aid; and

sending the recording, first information regarding the medical event, and second information regarding the medical aid to an emergency authority.

14. The system according to claim 10 , wherein implementing a mitigation action further comprises:

modifying a route of the vehicle, using autonomous driving features, to an emergency center using a first route.

15. The system according to claim 10 , wherein implementing a mitigation action further comprises:

altering the vehicle by modifying an environmental control of the vehicle.

16. A computer program product for mitigating a medical event in a vehicle, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, wherein the computer readable storage medium storing the program instructions is located in a server data processing system, and wherein the instructions are downloaded over a network to the vehicle to provide vehicular medical assistant functionality to the vehicle, the program instructions executable by a processor to cause the processor to perform a method comprising:

accessing a medical data store comprising diagnostic data, medical conditions, and mitigation actions, wherein the diagnostic data, medical conditions, and mitigation actions are interrelated using machine learning algorithms;

detecting a medical event based on a set of data associated with a passenger in the vehicle and the medical data store, wherein the set of data associated with the passenger is received from a plurality of sensors in the vehicle, wherein the plurality of sensors comprises a biometric sensor collecting biometric data from the passenger, an aural sensor collecting aural data from the passenger, a visual sensor collecting visual data from the passenger, and an environmental sensor collecting environmental data from the vehicle, wherein the set of data associated with the passenger comprises the aural data, the biometric data, the visual data, and the environmental data;

implementing a mitigation action in response to detecting the medical event, wherein the mitigation action comprises an interaction with the passenger and a modification to the vehicle;

metering use of the vehicular medical assistant functionality in the vehicle; and

generating an invoice in response to metering use of the vehicular medical assistant functionality.

17. The computer program product according to claim 16 , wherein computer readable storage medium storing the program instructions is located in the vehicle, and wherein the program instructions were downloaded over a network from a remote data processing system.

18. The computer program product according to claim 16 , wherein the biometric sensor comprises a directional thermometer and an odor sensor, wherein the aural sensor comprises a microphone, wherein the visual sensor comprises a camera, and wherein the environmental sensor comprises an accelerometer.