US 11,705,231 B2
System and method for computerized synthesis of simulated health data
Jeffrey Nathan Graham, Sunbury, OH (US)
Assigned to CARDINAL HEALTH COMMERICAL TECHNOLOGIES, LLC, Dublin, OH (US)
Filed by Cardinal Health Commercial Technologies, LLC, Dublin, OH (US)
Filed on Dec. 13, 2021, as Appl. No. 17/644,063.
Application 17/644,063 is a continuation of application No. 16/226,368, filed on Dec. 19, 2018, granted, now 11,205,504.
Prior Publication US 2022/0101970 A1, Mar. 31, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 10/60 (2018.01); G16H 50/20 (2018.01); G06N 7/01 (2023.01)
CPC G16H 10/60 (2018.01) [G06N 7/01 (2023.01); G16H 50/20 (2018.01)] 16 Claims
OG exemplary drawing
 
1. A computerized method, comprising:
creating, by a computing device, a state transition machine based upon data representing a clinical pathway that represents a sequence of health related events, wherein:
a state of the state transition machine represents a health related event; and
a probability of transitioning from a first state to a second state is based on a health attribute;
generating a synthetic health data set comprised of a synthetic electronic health record (EHR) for each synthetic person in a synthetic population, wherein a select synthetic EHR for an associated synthetic person is generated by calculating health related events that follow corresponding states of the state transition machine for each time step in a synthetic life of that associated synthetic person, and wherein the health related events are determined at least in part by health attributes associated with that synthetic person at each time step;
calculating, by the computing device, a similarity score by comparing the generated synthetic health data set to an actual health data set including an actual EHR; and
tuning, by the computing device, at least one of the data representing the clinical pathway or the state transition machine, based on the computed similarity score indicating similarity falling below a threshold similarity, to create updated clinical pathways for use in the state transition machine.