CPC G16H 80/00 (2018.01) [G06F 40/103 (2020.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); G16H 10/20 (2018.01); G16H 10/60 (2018.01); G16H 50/70 (2018.01)] | 19 Claims |
1. A computer-implemented method comprising:
training, via the one or more processors, a machine learning model in a supervised manner by providing to the machine learning model gathered medical information and sample sets of generated patient documents and medical services provider data documents based on certain input data;
receiving, via one or more processors, patient data from a patient and medical services provider data from a medical services provider;
crawling, via the one or more processors, the Internet to gather first temporal data that pertains to chronic issues for workers of different types of work;
matching, via the one or more processors, the gathered first temporal data to a type of work that the patient performs as indicated from the patient data;
running, via the one or more processors, the patient data and the medical services provider data through the trained machine learning model so that the trained machine learning model produces a first document comprising the matched first temporal data and a second document;
transmitting the first document to a first computer for presentation to the patient; and
transmitting the second document to a second computer for presentation to the medical services provider.
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