Methods and systems for cryptographically secured outputs from telemedicine sessions

1. A system for telemedicine prescription through remote sensing, the system comprising a computing device at a first location, the computing device configured to:

initiate a secure communication interface between the computing device and a client device associated with a human subject and at a second location, wherein initiating the secure communication interface comprises transmitting to the client device a configuration packet uniquely identifying the computing device;

receive, from at least a remote sensor at the second location, a plurality of current physiological data associated with the human subject;

input, using the secure communication interface, an identifier of a pharmaceutical element, wherein inputting further comprises:

identifying a plurality of pharmaceutical elements as a function of the plurality of current physiological data, wherein identifying the plurality of pharmaceutical elements further comprises:

receiving pharmaceutical training data correlating physiological data elements to pharmaceutical data elements;

training, iteratively, a pharmaceutical classifier as a function of the pharmaceutical training data; and

identifying the plurality of pharmaceutical elements as a function of the pharmaceutical classifier and the plurality of current physiological data;

displaying the plurality of pharmaceutical elements to a user of the computing device; and

receiving a command from a user of the computing device selecting a pharmaceutical element of the plurality of pharmaceutical elements;

determine, as a function of the plurality of current physiological data, a tolerability of the pharmaceutical element; and

generate a digitally signed prescription as a function of the determination.

2. The system of claim 1 , wherein the computing device is configured to

determine the tolerability of the pharmaceutical element by:

retrieving stored physiological data as a function of current physiological data; and

determining the tolerability of the pharmaceutical element as a function of the stored physiological data.

3. The system of claim 2 , wherein the computing device is configured to:

generate at least a biometric identification signature of the human subject, wherein

generating further comprises:

receiving subject signature training data, including a plurality of category descriptors and correlated physiological data entries;

training a biometric signature model as a function of the subject signature training data and a machine-learning process; and

generating the biometric identification signature as a function of the biometric signature model;

determine a degree of similarity between the stored physiological data and the at least a biometric signature; and

authenticate the stored physiological data as a function of the degree of similarity.

4. The system of claim 1 , wherein the computing device is configured to:

generate at least a biometric identification signature of the human subject, wherein

generating further comprises:

receiving subject signature training data, including a plurality of category descriptors and correlated physiological data entries;

training a biometric signature model as a function of the subject signature training data and a machine-learning process; and

generating the biometric identification signature as a function of the biometric signature model;

determine a degree of similarity between the current physiological data and the at least a biometric signature; and

authenticate the current physiological data as a function of the degree of similarity.

5. The system of claim 1 , wherein the digitally signed prescription includes a timestamp indicating a time of initiation.

6. The system of claim 1 , wherein the digitally signed prescription includes an expiration period.

7. The system of claim 1 , wherein the computing device is further configured to post the digitally signed prescription to a distributed data structure.

8. The system of claim 7 , wherein the distributed data structure includes an immutable sequential listing.

9. The system of claim 1 , wherein the computing device is further configured to transmit a prescription identifier to client device.

10. A method of telemedicine prescription through remote sensing, the method comprising:

initiating, by a computing device at a first location, a secure communication interface between the computing device and a client device associated with a human subject and at a second location, wherein initiating the secure communication interface comprises transmitting to the client device a configuration packet uniquely identifying the computing device;

receiving, by the computing device and from at least a remote sensor at the second location, a plurality of current physiological data associated with the human subject;

inputting, by the computing device and using the secure communication interface, an identifier of a pharmaceutical element, wherein inputting further comprises:

identifying a plurality of pharmaceutical elements as a function of the plurality of current physiological data, wherein identifying the plurality of pharmaceutical elements further comprises:

receiving pharmaceutical training data correlating physiological data elements to pharmaceutical data elements;

training, iteratively, a pharmaceutical classifier as a function of the pharmaceutical training data; and

identifying the plurality of pharmaceutical elements as a function of the pharmaceutical classifier;

displaying the plurality of pharmaceutical elements to a user of computing device; and

receiving a command from a user of the computing device selecting a pharmaceutical element of the plurality of pharmaceutical elements;

determining, by the computing device and as a function of the plurality of current physiological data, a tolerability of the pharmaceutical element; and

generating a digitally signed prescription as a function of the determination.

11. The method of claim 10 , wherein determining the tolerability of the pharmaceutical element further comprises:

retrieving stored physiological data as a function of current physiological data; and

determining the tolerability of the pharmaceutical element as a function of the stored physiological data.

12. The method of claim 11 further comprising:

generating at least a biometric identification signature of the human subject, wherein generating further comprises:

receiving subject signature training data, including a plurality of category descriptors and correlated physiological data entries;

training a biometric signature model as a function of the subject signature training data and a machine-learning process; and

generating the biometric identification signature as a function of the biometric signature model;

determining a degree of similarity between the stored physiological data and the at least a biometric signature; and

authenticating the stored physiological data as a function of the degree of similarity.

13. The method of claim 10 further comprising:

generating at least a biometric identification signature of the human subject, wherein generating further comprises:

receiving subject signature training data, including a plurality of category descriptors and correlated physiological data entries;

training a biometric signature model as a function of the subject signature training data and a machine-learning process; and

generating the biometric identification signature as a function of the biometric signature model;

determining a degree of similarity between the current physiological data and the at least a biometric signature; and

authenticating the current physiological data as a function of the degree of similarity.

14. The method of claim 10 , wherein the digitally signed prescription includes a timestamp indicating a time of initiation.

15. The method of claim 10 , wherein the digitally signed prescription includes an expiration period.

16. The method of claim 10 further comprising posting the digitally signed prescription to a distributed data structure.

17. The method of claim 16 , wherein the distributed data structure includes an immutable sequential listing.

18. The method of claim 10 further comprising transmitting a prescription identifier to client device.