US 12,009,076 B1Granted

Electronic medical record transfer systems and methods

AssigneeUnited Services Automobile Association (USAA)

InventorsSteven K. Dunlap, Michael Belko, Sharon Kay Haverlah, Wesley Allen Arnold

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Abstract

In one embodiment, one or more non-transitory, computer-readable mediums store computer instructions that, when executed by a processor, cause the processor to receive inputs from one or more request sources. The inputs include user credentials to an electronic medical record (EMR) source provider system. The computer instructions, when executed by the processor, also cause the processor to validate the credentials via communication with the EMR source provider system without an external authorization process, retrieve one or more EMRs from the EMR source provider system after the credentials are validated by the EMR source provider system, and store the one or more EMRs in a single data repository.

Claims19

Dependent claims

One or more non-transitory, computer-readable mediums storing computer instructions that, when executed by a processor, cause the processor to:

receive one or more inputs from one or more sources, wherein the one or more inputs comprise one or more user credentials to provide to an electronic medical record (EMR) source provider system;
validate the one or more user credentials via communication with the EMR source provider system without an external authorization process;
retrieve one or more EMRs from the EMR source provider system after the one or more user credentials are validated by the EMR source provider system;
receive a request from a receiving provider system for the one or more EMRs;
reformat the one or more EMRs into a common format to be compatible with both a receiving provider system and the processor;
transmit the one or more reformatted EMRs to the receiving provider system;
receive a first set of data related to a first set of health characteristics of a user from a first device associated with the user, wherein the first device comprises an automobile, and wherein the first set of health characteristics comprises an amount of time that the user is in the automobile over a period of time;
receive a second set of data related to a second set of health characteristics of the user from a second device associated with the user, wherein the second set of data is received via one or more inputs provided to the second device by the user, wherein the second device is different from the first device, and wherein the first set of data is associated with a first weight and the second set of data is associated with a second weight, wherein the first weight is greater than the second weight;
apply the first weight to the first set of data to generate a first weighted set of data;
apply the second weight to the second set of data to generate a second weighted set of data;
determine one or more correlations between the one or more reformatted EMRs, the first weighted set of data, the second weighted set of data, and a set of EMRs for similarly situated users, wherein the one or more correlations are indicative of a medical performance of the user relative to the similarly situated users;
generate one or more recommendations for the user in response to the one or more correlations;
and
generate one or more visualizations representative of the one or more recommendations for display via an electronic display.

11 more elements

A method, comprising:

receiving one or more inputs, via a processor, from one or more request sources, wherein the one or more inputs comprise one or more user credentials to provide to an electronic medical record (EMR) source provider system and a selection of a receiving provider system, and the one or more request sources comprise a patient portal or an electronic record source;
retrieving, via the processor, one or more EMRs from the EMR source provider system in response to the one or more user credentials being validated by the EMR source provider system without a separate authorization process;
receiving, via the processor, a request from a receiving provider system for the one or more EMRs;
reformatting, via the processor, the one or more EMRs into a common format compatible with the receiving provider system and the EMR source provider system in response to receiving the request;
transmitting, via the processor, the one or more reformatted EMRs to the receiving provider system;
receiving, via the processor, a first set of data related to a first set of health characteristics from a first device associated with a user, wherein the first device comprises an automobile, and wherein the first set of health characteristics comprises an amount of time that the user is in the automobile over a period of time;
receiving, via the processor, a second set of data related to a second set of health characteristics of the user from a second device associated with the user, wherein the second set of data is received via one or more inputs provided to the second device by the user, wherein the second device is different from the first device, and wherein the first set of data is associated with a first weight and the second set of data is associated with a second weight, wherein the first weight is greater than the second weight;
applying the first weight to the first set of data to generate a first weighted set of data and the second weight to the second set of data to generate a second weighted set of data;
determining, via the processor, one or more correlations between the one or more reformatted EMRs, the first weighted set of data, the second weighted set of data, and a set of EMRs for individuals having similar properties to the user wherein the one or more correlations are indicative of a medical performance of the user relative to the individuals having similar properties to the user;
generating, via the processor, one or more recommendations for the user in response to the one or more correlations;
and
generating, via the processor, one or more visualizations representative of the one or more recommendation for display via an electronic display.

9 more elements

A system, comprising:

a processor configured to perform operations comprising:
receiving one or more inputs from one or more request sources, wherein the one or more inputs comprise one or more user credentials of a user to provide to an electronic medical record (EMR) source provider system and one or more receiving provider systems, wherein the one or more request sources comprise a patient portal or an electronic record source;
retrieving one or more EMRs from the EMR source provider system in response to the one or more user credentials being validated by the EMR source provider system;
receiving a request from a receiving provider system for the one or more EMRs;
reformatting the one or more EMRs into a common format compatible with the receiving provider system and the EMR source provider system in response to receiving the request;
transmitting the one or more reformatted EMRs to the receiving provider system;
transmitting the one or more reformatted EMRs to the receiving provider systems;
receiving a first set of data related to a first set of health characteristics of the user from a first device associated with a user, wherein the first device comprises an automobile, and wherein the first set of health characteristics comprises an amount of time that the user is in the automobile over a period of time;
receiving a second set of data related to a second set of health characteristics of the user from a second device associated with the user, wherein the second set of data is received via one or more inputs provided to the second device by the user, wherein the second device is different from the first device, and wherein the first set of data is associated with a first weight and the second set of data is associated with a second weight, wherein the first weight is greater than the second weight;
applying the first weight to the first set of data to generate a first weighted set of data and the second weight to the second set of data to generate a second weighted set of data;
determine one or more correlations between the one or more reformatted EMRs, the first weighted set of data, the second weighted set of data, and a set of EMRs for similarly situated users, wherein the one or more correlations are indicative of a medical performance of the user relative to the similarly situated users;
generating one or more recommendations for the user in response to the one or more correlations;
and
generating one or more visualizations representative of the one or more recommendations for display via an electronic display.

11 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/884,374Filed 9 Aug 2022 · continuation
Priority: 6 Jan 2016
Granted: 11 Jun 2024
Term ends: Not estimatedThe source records don’t support an estimate.

Classification4 codes

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 10/20
ICT specially adapted for the handling or processing of patient-related medical or healthcare data: for electronic clinical trials or questionnaires
G16H 50/70
ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or…: for…
G16H
Healthcare informatics, i.e. information and communication technology [ict] specially adapted for the

Family

Application14/989,702Parent of this continuation · filed 6 Jan 2016
Application16/841,194Parent of this continuation · filed 6 Apr 2020
US 10,622,101 B1Parent of this continuation · filed 14 Apr 2020
US 11,424,014 B1Parent of this continuation · filed 23 Aug 2022
US 12,009,076 B1This patent

From the US filing history. Foreign family members aren’t listed.

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