US 11,735,324 B2
Two-way questionnaire generation for medical communication
Sunil K. Mishra, Morrisville, NC (US); and Arvin Bhatnagar, Cary, NC (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Sep. 23, 2020, as Appl. No. 17/29,106.
Prior Publication US 2022/0093278 A1, Mar. 24, 2022
Int. Cl. G16H 80/00 (2018.01); G16H 10/60 (2018.01); G16H 10/20 (2018.01); G06F 40/103 (2020.01); G06Q 10/10 (2023.01); G06N 20/00 (2019.01); G16H 50/70 (2018.01)
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
OG exemplary drawing
 
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.