POPULATION HEALTH MANAGEMENT SYSTEM UTILIZING NATURAL LANGUAGE PROCESSING ENHANCED STRATIFICATION

• US 20150095066A1
• Filed: 09/30/2014
• Published: 04/02/2015
• Est. Priority Date: 10/01/2013
• Status: Abandoned Application

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Inventors: Ryan, Hugh H., Ruoff, Chad Barrett
• Application Number:
  US14/502,286
• Publication Number:
  US 20150095066A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06Q 30/0204 Market segmentation
• 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 20/13 delivered from dispensers
• 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

Abstract

Methods, systems, computer storage media, and graphical user interfaces for population health management are disclosed. The population health management system may allow for cross-continuum tracking and subsequent interactions with transactional systems, providers, and/or patients. The population health management system may include utilizing clinically relevant algorithms to populate registries to enable healthcare providers to better facilitate care for a population of patients. The population health management system may consolidate and provide comprehensive condition-specific and/or patient situation specific information that is accessible and updatable across venues. The population health management system may create cross venue antibiograms based on medications information and susceptibility results which can be filtered for selected demographics. The population health management system may be utilized to provide multiple medication options including dosing, generic alternatives, cost, availability, and susceptibility information. Inappropriate trends may be flagged and monitored and medication stewards may be alerted or notified to intervene.

Claims

1. One or more computer storage media storing computer-executable instructions that, when executed by one or more computing devices, cause the one or more computing devices to perform a method for stratifying one or more patients into one or more groups, the method comprising:

receiving, at a population health server, healthcare data, wherein the healthcare data comprises clinical impressions and/or clinical narratives from one or more healthcare providers;

utilizing the population health server for natural language processing to extract one or more clinical indicators from the healthcare data;

utilizing the population health server to stratify one or more patients into one or more groups based on at least a portion of the one or more clinical indicators; and

utilizing the population health server to create at least one registry comprising the one or more groups, wherein the at least one registry accounts for one or more of;

resources available to a patient;

lifestyle and prognostic assets that can be used for prediction; and

assets necessary for attribution, allocation, or measurement.

2. The media of claim 1, wherein the method further comprises utilizing the at least one registry to provide a proposed plan of care for at least one patient of the one or more patients.

3. The media of claim 1, wherein the method further comprises providing a relevance rating to each of the one or more clinical indicators.

4. The media of claim 3, wherein each of the relevance ratings is based on the expertise of a healthcare provider of the one or more healthcare providers that is associated with each of the one or more clinical indicators.

5. The media of claim 1, wherein at least a portion of the clinical indicators are associated with one or more chronic conditions.

6. The media of claim 5, wherein the one or more chronic conditions comprises heart failure, acute kidney injury, chronic kidney disease, malnutrition, COPD, asthma, musculoskeletal diseases, cancer, acute infections, HIV, and/or autoimmune diseases.

7. The media of claim 6, wherein the one or more groups comprise one or more clinical stages of the one or more chronic conditions.

8. The media of claim 1, wherein the clinical impressions and/or clinical narratives are associated with one or more of:

a patient'"'"'s condition, a course of treatment for a patient, a plan of treatment for a patient, diagnostic tests, specialty studies, pathology reports, and operative reports.

9. The media of claim 1, wherein at least a portion of the healthcare data is from disparate sources, wherein the disparate sources include a plurality of EMRs, wherein the plurality of EMRs are associated with at least one of:

a plurality of healthcare providers, a plurality of patients, a plurality of medical conditions, a plurality of healthcare venues and/or facilities, a plurality of organizations, and a plurality of communities.

10. A computer system that stratifies one or more patients into one or more groups, the computer system comprising a processor coupled to a computer storage medium, the computer storage medium having stored thereon a plurality of computer software components executable by the processor, the computer software components comprising:

a receiving component that receives healthcare data, wherein the healthcare data comprises clinical impressions and/or clinical narratives from one or more healthcare providers;

a natural language processing component that extracts one or more clinical indicators from the healthcare data;

a stratifying component that utilizes one or more algorithms to stratify one or more patients into one or more groups based on at least a portion of the one or more clinical indicators; and

a creating component that creates at least on registry, the at least one registry comprising at least a portion of the one or more groups, wherein the at least one registry accounts for one or more of;

resources available to a patient;

lifestyle and prognostic assets that can be used for prediction; and

assets necessary for attribution, allocation, or measurement.

11. The computer system of claim 10, further comprising a relevance rating component is configured to provide a relevance rating to each of the one or more clinical indicators.

12. The computer system of claim 11, wherein each relevance rating is based on the expertise of a healthcare provider of the one or more healthcare providers that is associated with each of the one or more clinical indicators.

13. The computer system of claim 10, wherein at least a portion of the clinical indicators are associated with one or more chronic conditions.

14. The computer system of claim 10, wherein at least a portion of the healthcare data is from disparate sources, wherein the disparate sources include a plurality of EMRs, wherein the plurality of EMRs are associated with at least one of:

a plurality of healthcare providers, a plurality of patients, a plurality of medical conditions, a plurality of healthcare venues and/or facilities, a plurality of organizations, and a plurality of communities.

15. One or more computer storage media storing computer-executable instructions that, when executed by one or more computing devices, cause the one or more computing devices to perform a method for stratifying one or more patients into one or more groups, the method comprising:

receiving, at a population health server, healthcare data from disparate sources, wherein the healthcare data comprises clinical impressions and/or clinical narratives from one or more healthcare providers;

utilizing the population health server for natural language processing to extract one or more clinical indicators from the healthcare data, wherein the one or more clinical indicators are associated with one or more chronic conditions;

providing a relevance rating to each of the one or more clinical indicators;

utilizing the population health server to stratify one or more patients into one or more groups based on at least a portion of the one or more clinical indicators; and

utilizing the population health server to create at least one registry comprising the one or more groups, wherein the at least one registry accounts for one or more of;

resources available to a patient;

lifestyle and prognostic assets that can be used for prediction; and

assets necessary for attribution, allocation, or measurement.

16. The media of claim 15, wherein the disparate sources include a plurality of EMRs, wherein the plurality of EMRs are associated with at least one of:

a plurality of healthcare providers, a plurality of patients, a plurality of medical conditions, a plurality of healthcare venues and/or facilities, a plurality of organizations, and a plurality of communities.

17. The media of claim 15, wherein each relevance rating is based on the expertise of a healthcare provider of the one or more healthcare providers that is associated with each of the one or more clinical indicators.

18. The media of claim 15, wherein the one or more chronic conditions comprises heart failure, acute kidney injury, chronic kidney disease, malnutrition, COPD, asthma, musculoskeletal diseases, cancer, acute infections, HIV, and/or autoimmune diseases.

19. The media of claim 15, wherein the clinical impressions and/or clinical narratives are associated with one or more of:

a patient'"'"'s condition, a course of treatment for a patient, a plan of treatment for a patient, diagnostic tests, specialty studies, pathology reports, and operative reports.

20. The media of claim 15, wherein the method further comprises utilizing the at least one registry to provide a proposed plan of care for at least one patient of the one or more patients.