SYSTEMS AND METHODS FOR REAL-TIME DATA INGESTION TO A CLINICAL ANALYTICS PLATFORM

• US 20110077973A1
• Filed: 09/24/2010
• Published: 03/31/2011
• Est. Priority Date: 09/24/2009
• Status: Active Grant

• Current Assignee: Humedica Incorporated (UnitedHealth Group Incorporated)
• Original Assignee: Humedica Incorporated (UnitedHealth Group Incorporated)
• Inventors: Pettini, Donald, Bleicher, Paul, Breitenstein, Agneta, Scharer, Ryan, Huang, Stanley, Ye, Hua
• Granted Patent: US 8,731,966 B2
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/22 Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

The clinical analytics platform automates the capture, extraction, and reporting of data required for certain quality measures, provides real-time clinical surveillance, clinical dashboards, tracking lists, and alerts for specific, high-priority conditions, and offers dynamic, ad-hoc quality reporting capabilities. The clinical informatics platform may include a data extraction facility that gathers clinical data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the clinical data and, optionally, de-identify the data, a flexible data warehouse for storing raw clinical data or longitudinal patient data, a clinical analytics facility for data mining, analytic model building, patient risk identification, benchmarking, performing quality assurance, and patient tracking, and a graphical user interface for presenting clinical analytics in an actionable format.

Claims

1. A method of ingesting and analyzing healthcare data from a plurality of data sources in real-time, comprising:

connecting to at least one data source;

retrieving data from the data source on a periodic basis to a database;

synchronizing data between the at least one data source and the database;

processing the data to identify data elements, map data elements, and normalize data elements, wherein the data elements are stored in a database,

wherein the mapping comprises assigning data to a field of a database according to a hierarchically organized lexicon of healthcare data elements, wherein multiple data element entries in the lexicon are mapped to a single field for at least one field;

linking the data elements over time to form a longitudinal data record, wherein the longitudinal data records are stored in a longitudinal data warehouse; and

analyzing the at least one of the data elements and data records to obtain at least one of actionable clinical analytics, a patient risk identification, a disease-specific analytic model, a predictive model, a benchmark and a quality measure.

2. The method of claim 1, wherein the periodic basis on which data are retrieved is in real-time.

3. The method of claim 2, wherein realtime is at least as frequent as every five minutes.

4. The method of claim 1, wherein the at least one data source comprises doctor'"'"'s notes from which data are retrieved using natural processing language.

5. The method of claim 1, wherein the at least one data source comprises at least one of an electronic medical record, an electronic health record, ambulatory clinical data, claims data, paid claims data, adjudicated claims data, inpatient clinical data, pharmacy data, doctor'"'"'s notes, self-reported data, census data, telemetry data, a networked monitor, a home blood pressure device, a home health monitoring device, a sensor device, mortality data, an internal management system, a hospital inventory system, a clinical inventory system, a clinical guideline, a specialty management system and an order set.

6. The method of claim 1, wherein processing the healthcare data also comprises validating the healthcare data elements.

7. The method of claim 1, wherein the at least one of actionable clinical analytics, a patient risk identification, a disease-specific analytic model, a predictive model, a benchmark and a quality measure is presented in a graphical user interface via a software-as-a-service architecture.

8. A clinical informatics platform, comprising:

a data extraction facility that gathers clinical data from numerous sources on a periodic basis;

a data mapping facility that identifies and maps key data elements and links data over time, wherein the mapping comprises assigning data to a field of a database according to a hierarchically organized lexicon of healthcare data elements, wherein multiple data element entries in the lexicon are mapped to a single field for at least one field;

a data normalization facility to normalize the clinical data;

a flexible data warehouse for storing at least one of the raw clinical data and longitudinal patient data;

a clinical analytics facility for data mining, analytic model building, patient risk identification, and patient tracking; and

a graphical user interface for presenting clinical analytics in an actionable format.

9. The method of claim 8, wherein the periodic basis on which data are gathered is in real-time.

10. The method of claim 9, wherein real-time is at least as frequent as every five minutes.

11. The method of claim 8, wherein the numerous sources comprise doctor'"'"'s notes from which data are retrieved using natural processing language.

12. The method of claim 8, wherein the numerous sources comprise at least one of an electronic medical record, an electronic health record, ambulatory clinical data, claims data, paid claims data, adjudicated claims data, inpatient clinical data, pharmacy data, doctor'"'"'s notes, self-reported data, census data, telemetry data, a networked monitor, a home blood pressure device, a home health monitoring device, a sensor device, mortality data, an internal management system, a hospital inventory system, a clinical inventory system, a clinical guideline, a specialty management system and an order set.

13. The method of claim 8, wherein the data normalization facility de-identifies the data.

14. The method of claim 8, further comprising validating the clinical data.

15. The method of claim 8, wherein the graphical user interface is presented via a software-as-a-service architecture.