System and method for the visualization of medical data

• US 9,679,105 B2
• Filed: 06/03/2013
• Issued: 06/13/2017
• Est. Priority Date: 06/06/2012
• Status: Active Grant

• Current Assignee: Forward Health Group, Inc.
• Original Assignee: Forward Health Group, Inc.
• Inventors: Barbouche, Michael, May, Joel, Studebaker, John, Thomas, Sean, Walker, Joel
• Primary Examiner(s): BEUTEL, WILLIAM A
• Application Number:
  US13/908,413
• Publication Number:
  US 20140022255A1
• Time in Patent Office: 1,471 Days
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

The systems and methods of the present application includes embodiments that allow users to more easily and efficiently compare medical data in an automated, computerized system using a variety of visualization tools, by operation on datasets sourced from a variety of entities.

Claims

1. A computer-implemented method for the automated visualization of patient medical information and medical data over an Internet network, comprising:

storing medical data of patients for each of at least one medical provider and at least one payor organization in a plurality of datasets, wherein each of the datasets in the plurality of datasets is stored in a computer memory accessible over the Internet network separately from each of the other datasets, each of the plurality of datasets including at least an electronic medical record and a secondary healthcare record, the electronic medical record and the secondary healthcare record stored separately and having at least one common key;

normalizing the medical data by executing database-specific calls to each of the datasets over the Internet network and retrieving at least some of the medical data from the plurality of datasets by a normalizer, the normalizer configured to generate a set of metadata based on at least one quality measure of the medical data and generate normalized medical data for the set of metadata using a denominator to define a patient population having the at least one quality measure;

populating a database with the normalized medical data, the database operably coupled to the Internet network, wherein the normalized medical data is stored separately from the plurality of datasets to create a medical data superset for each patient including medical data common to each patient stored among the plurality of datasets;

configuring an application layer operably coupled to the Internet network to enable communication between the database of the medical data superset for each patient and a dashboard over the Internet network;

displaying an output of normalized medical data on the dashboard, the dashboard displayed on a user device operably coupled to the Internet, the dashboard configured to display medical data for the patient population captured by the at least one quality measure of a given practice group within a medical provider or all practice groups for a medical provider or payor organization.

2. The computer-implemented method of claim 1, comprising displaying medical data in an output form using a Venn-diagram-type output on the dashboard.

3. The computer-implemented method of claim 2, wherein displaying medical data comprises:

selecting the Venn tool diagram via the dashboard;

querying the database to obtain the patients in selected panels and populations;

packaging patient data to transmit to the dashboard;

showing a list of populations on the dashboard;

selecting populations and graphically displaying the union of populations and non-union of populations with other chosen populations;

selecting patient criteria via intersections or excluded areas;

querying the database to obtain and return the list of patients meeting the criteria; and

displaying the patient list meeting the criteria.

4. The computer-implemented method of claim 1, comprising displaying medical data in an output form using a scatter plot-type output on the dashboard.

5. The computer-implemented method of claim 4, wherein displaying medical data comprises:

selecting the Scatter tool diagram via the dashboard;

querying the database to obtain a panel of patients and patient demographic and clinical observation data;

packaging patient data to transmit to the dashboard;

selecting categorical characteristics for each patient;

selecting continuous characteristics for each patient;

displaying an individual point on the dashboard, each point designating a patient;

displaying categorical characteristics via color or shape on the dashboard;

displaying continuous data on x and y axes via the position of the individual point;

selecting groups of patients;

showing the number of patients in the current selection;

querying the database to obtain and return the list of patients; and

displaying the patient list.

6. The computer-implemented method of claim 1, comprising displaying medical data in an output form using an orbit plot-type output on the dashboard.

7. The computer-implemented method of claim 6, wherein displaying medical data comprises:

selecting the patient;

querying the database to obtain patient event information;

displaying a circle on the dashboard, the circle depicting the patient;

selecting a time frame to view via two slider on a timeline;

displaying all patient events and relationships within the selected time frame.

8. A computer-implemented system for the automated visualization of patient medical information and medical data over an Internet network, comprising:

a plurality of datasets, each dataset comprised of medical data of patients for each of at least one medical provider and at least one payor organization, wherein each of the datasets in the plurality of datasets is stored in a computer memory accessible over the Internet network separately from each of the other datasets, each of the plurality of datasets including at least an electronic medical record and a secondary healthcare record, the electronic medical record and the secondary healthcare record stored separately and having at least one common key;

a normalizer engine stored in non-volatile memory, executable by a processor and configured to execute database-specific calls to each of the datasets over the Internet network and retrieve at least some of the medical data from the plurality of datasets, the normalizer configured to generate a set of metadata based on at least one quality measure of the medical data and generate normalized medical data for the set of metadata using a denominator to define a patient population having the at least one quality measure;

a database populated with the normalized medical data obtained from the normalizer, the database operably coupled to the Internet network, wherein the normalized medical data is stored separately from the plurality of datasets to create a medical data superset for each patient including medical data common to each patient stored among the plurality of datasets;

an application layer operably coupled to the Internet network and configured to enable communication between the database of the medical data superset for each patient and a dashboard over the Internet network;

the dashboard configured to display an output of normalized medical data, the dashboard displayed on a user device operably coupled to the Internet, the dashboard configured to display medical data for the patient population captured by the at least one quality measure of a given practice group within a medical provider or all practice groups for a medical provider or payor organization.

9. The computer-implemented system of claim 8, wherein the database is an SQL database.

10. The computer-implemented system of claim 8, wherein the database is a general purpose database management storage system.

11. The computer-implemented system of claim 8, wherein the database comprises a flat file or a series of files.

12. The computer-implemented system of claim 8, wherein the database comprises non-volatile memory residing in a computer.

13. The computer-implemented system of claim 8, wherein the database comprises a relational database or a series of databases.

14. The computer-implemented system of claim 8, wherein the system is selected from the group consisting of a cloud computing system, client-server system, standalone computer processing environment, and any combination thereof.

15. The computer-implemented system of claim 8, wherein the normalized medical data contains consolidated data.

16. The computer-implemented system of claim 8, wherein the normalized medical data is a patient data superset.

17. The computer-implemented system of claim 8, wherein the dashboard is configured to display medical data in an output form using a of Venn-diagram-type output, the dashboard configured to graphically display the medical data as overlapping circles wherein the intersections of the circles contain specific patient populations.

18. The computer-implemented system of claim 8, wherein the dashboard is configured to display medical data in an output form using a scatter plot-type output, the dashboard configured to graphically display patient data based on categorical characteristics and continuous characteristics, wherein the characteristics are displayed in the form of a point, letter, shape, symbol or color.

19. The computer-implemented system of claim 8, wherein the dashboard is configured to display medical data in an output form using an orbit plot-type output, the dashboard configured to display medical data of a particular patient, the patient graphically depicted as a circle or orbit and patient events depicted as additional circles or orbits.