Anonymous ID: de6658 Oct. 16, 2021, 2:02 a.m. No.14795751   🗄️.is 🔗kun   >>5760 >>5823 >>5845 >>5938 >>5986

>>14794650 (PB notable)

Used "treatments" AND "vaccinations" as search terms in the US patents database to find the original patent which is here: https://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=27&f=G&l=50&co1=AND&d=PTXT&s1=treatments&s2=vaccinations&OS=treatments+AND+vaccinations&RS=treatments+AND+vaccinations

 

Pokin' around on the first 50 of 2797 'hits', found another one which can kiss your HIPPA goodbye.

" Longitudinal condition tracking system and method" submitted by Dan Murica of Health Vector.

https://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=1&f=G&l=50&co1=AND&d=PTXT&s1=treatments&s2=vaccinations&OS=treatments+AND+vaccinations&RS=treatments+AND+vaccinations

 

The invention integrates medical and healthcare records, symptoms input from a user, symptom and medical data generally, diagnostic data from a diagnosis acquisition device, and/or institutional data, as well as organizing human activity, providing a practical application wherein the additional elements recite a specific improvement over prior art systems by allowing remote users to share information in real time in a standardized format regardless of the format in which the information was input by the user.

 

The additional elements further include linking and making accessible data that was previously unavailable to certain users or participants by securing access to updateable but immutable records that are encrypted and restricted while able to be integrated and aggregated to provide pathology collections and digital health records for a patient lifetime health record where events from birth to end of life are stored in an integrated and comprehensive fashion along with additional data such as timestamp and time scale data that can be used to organize and track the event data.

 

The systems and methods empower the user by providing control and information in a technologically implemented improvement to existing processes for record generation, access, management, and transformation, specifically integrated longitudinal secure chain data tracking that provides multiple layers of data encryption, that is traditionally controlled by external parties, namely various health care providers that cannot or do not cooperate efficiently.

 

"Data that was previously unavailable to certain users" and "Health care providers that cannot or do not cooperate efficiently" - all your data are belong to a central database controlled by a "gatekeeper". What could possibly go wrong?

 

Health Vector website: https://www.healthvector.world/news

Anonymous ID: de6658 Oct. 16, 2021, 2:10 a.m. No.14795760   🗄️.is 🔗kun

>>14795751 (me)

 

Another patent which uses individual's mobile devices:

https://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=13&f=G&l=50&co1=AND&d=PTXT&s1=treatments&s2=vaccinations&OS=treatments+AND+vaccinations&RS=treatments+AND+vaccinations

 

A method performed by one or more computers, the method comprising:

-receiving monitoring data for a community generated using mobile devices of individuals in the community,

-the monitoring data comprising location tracking data that indicates locations visited by the individuals;

-accessing community data for the community that describes characteristics of the community and a geographic region associated with the community;

-training one or more machine learning models to evaluate regions for potential for transmission of a disease based on travel patterns of individuals in the community, the one or more machine learning models being trained based on training data describing (i) characteristics of a plurality of different communities,

-(ii) travel patterns of individuals in the communities, and

-(iii) disease outcomes of individuals in the different communities over time; generating, using the one or more machine learning models, an indication of one or more regions of elevated potential for disease transmission based on the one or more machine learning models processing input data comprising

(i) community characteristics for the community and

(ii) travel pattern data, derived from the monitoring data for the community, that is indicative of travel patterns of the individuals in the community; and providing, to one or more devices over a communication network, output indicating the one or more regions identified using the one or more trained machine learning models.

 

So tracking not just you as an individual, but your "community" as well… If you step out of line, the entire community is implicated.