US 10,096,384 B2Granted

Artificial intelligence expert system

AssigneeDisco Health, LLC

InventorJohn W. Eastman

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Abstract

Systems and methods are disclosed that access over a network a set of codes and respective code descriptions from a first data store. Course data for courses is accessed over a network from a second data store. Code descriptions and course data are compared, and the comparison is used to generate a mapping of courses to codes. The network interface is used to access codes associated with patient records for a plurality of patients from an electronic medical record system associated with a medical service provider. Relevancy values are calculated for codes using the codes associated with patient records. The calculated relevancy values and the accessed mapping of courses to codes are used to generate a first ranked presentation of recommended courses. A course selection is detected. Using the selection, a second ranked presentation of recommended courses is generated by a learning engine with updated learning engine weights.

Claims23

Dependent claims

A system, comprising:

a network interface;
a computing system;
nonvolatile memory that stores instructions configured to cause the computing system to:
access a first set of nomenclature codes and respective code descriptions from at least a first data store;
access, over a network using the network interface, course data for a first plurality of courses for medical service providers from at least a second data store;
compare nomenclature code descriptions and course data;
use the comparison of nomenclature code descriptions and course data to generate a mapping of courses to nomenclature codes in the first set of nomenclature codes;
store the mapping of courses to nomenclature codes from the first set of nomenclature codes in a third data store;
access, over a network using the network interface, nomenclature codes associated with patient records for a plurality of patients from an electronic medical record system associated with a medical service provider;
determine with respect to the accessed patient records;
a volume of nomenclature codes,
a frequency of a given nomenclature code, and
record dates of respective nomenclature codes;
calculate relevancy values for respective nomenclature codes using the determined volume of nomenclature codes, frequency of the respective nomenclature code, record dates of the respective nomenclature code;
access the stored mapping of courses to nomenclature codes;
access a first set of preferences associated with the medical service provider;
use the first set of preferences to generate a filtered set of courses from the first plurality of courses;
use the calculated relevancy values, the accessed mapping of courses to nomenclature codes, and the filtered set of courses to generate a first ranked presentation of recommended courses;
cause the first ranked presentation of recommended courses to be displayed via a user interface of the electronic medical record system associated with the medical service provider;
detect, via data received over a network using the network interface, a course selection of a course included in the first ranked presentation of recommended courses by the medical service provider;
use, by a learning engine, the detected selection to update learning engine weights;
generate a second ranked presentation of recommended courses by the medical service provider using the learning engine with the updated learning engine weights.

19 more elements

A system, comprising:

a network interface;
a computing system;
nonvolatile memory that stores instructions configured to cause the computing system to:
access a first set of codes and respective code descriptions from at least a first data store;
access, over a network using the network interface, course data for a first plurality of courses for medical service providers from at least a second data store;
compare code descriptions and course data;
use the comparison of code descriptions and course data to generate a mapping of courses to codes in the first set of codes;
store the mapping of courses to codes from the first set of codes in a third data store;
access, over a network using the network interface, codes associated with patient records for a plurality of patients from an electronic medical record system associated with a medical service provider;
identify codes in the accessed patient records for the plurality of patients;
calculate relevancy values for respective codes using the identified codes;
access the stored mapping of courses to codes;
use the calculated relevancy values and the accessed mapping of courses to codes to generate a first ranked presentation of recommended courses;
cause the first ranked presentation of recommended courses to be displayed via a user interface of the electronic medical record system associated with the medical service provider;
detect, via data received over a network using the network interface, a course selection of a course included in the first ranked presentation of recommended courses by the medical service provider;
and
enable the medical service provider to enroll in the selected course.

14 more elements

Nonvolatile media that stores instructions configured to cause the computing system to:

access a first set of codes and respective code descriptions from at least a first data store;
access course data for a first plurality of courses for medical service providers from at least a second data store;
compare code descriptions and course data;
use the comparison of code descriptions and course data to generate a mapping of courses to codes in the first set of codes;
store the mapping of courses to codes from the first set of codes in a third data store;
access codes associated with patient records for a plurality of patients from an electronic medical record system associated with a medical service provider;
identify codes in the accessed patient records for the plurality of patients;
calculate relevancy values for respective codes using the identified codes;
access the stored mapping of courses to codes;
use the calculated relevancy values and the accessed mapping of courses to codes to generate a first ranked presentation of recommended courses;
cause the first ranked presentation of recommended courses to be displayed via a user interface of the electronic medical record system associated with the medical service provider;
detect a course selection of a course included in the first ranked presentation of recommended courses by the medical service provider;
and
enable the medical service provider to enroll in the selected course.

11 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/843,813Filed 15 Dec 2017 · us provisional application
Priority: 21 Dec 2016
Published: US 2018/0174684 A121 Jun 2018
Granted: 9 Oct 2018
Term ends: Not estimatedThe source records don’t support an estimate.

Classification10 codes

G16H 50/20
ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or…: for…
G06N 20/00
Machine learning
G16H 10/60
ICT specially adapted for the handling or processing of patient-related medical or healthcare data: for patient-specific data, e.g. for electronic…
G16H 40/20
ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or…:…