SENIOR CARE NAVIGATION SYSTEMS AND METHODS FOR USING THE SAME

• US 20100324927A1
• Filed: 06/17/2010
• Published: 12/23/2010
• Est. Priority Date: 06/17/2009
• Status: Abandoned Application

• Current Assignee: My Health Care Manager, Inc.
• Original Assignee: My Health Care Manager, Inc.
• Inventors: Tinsley, Eric C.
• Application Number:
  US12/817,329
• Publication Number:
  US 20100324927A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Senior care navigation systems and methods for using the same. In at least one exemplary system for utilizing and analyzing information to provide a desired outcome of the present disclosure, the system comprises an evidence repository comprising at least one item of evidence from each of at least two evidentiary sources, and a knowledge management and decision support system in communication with the evidence repository, the knowledge management and decision support system operable to retrieve the at least one item of evidence from the evidence repository and process the at least one item of evidence according to at least one reasoning approach, the knowledge management and decision support system further operable to generate at least one outcome.

Claims

1. A system for utilizing and analyzing information to provide a desired outcome, the system comprising:

an evidence repository comprising at least one item of evidence from each of at least two evidentiary sources; and

a knowledge management and decision support system in communication with the evidence repository, the knowledge management and decision support system operable to retrieve the at least one item of evidence from the evidence repository and process the at least one item of evidence according to at least one reasoning approach, the knowledge management and decision support system further operable to generate at least one outcome.

2. The system of claim 1, wherein the at least two evidentiary sources are selected from the group consisting of standards of care, clinical expertise, and member records.

3. The system of claim 1, wherein at least one of the at least two evidentiary sources comprises standards of care, and wherein the standards of care comprise the at least one item of evidence selected from the group consisting of research reports, care guidelines, and practice standards.

4. The system of claim 1, wherein at least one of the at least two evidentiary sources comprises clinical expertise, and wherein the clinical expertise comprises field evidence.

5. The system of claim 1, wherein at least one of the at least two evidentiary sources comprises member records, and wherein the member records comprise internal research evidence from at least one member record source.

6. The system of claim 1, wherein the at least one item of evidence within the evidence repository was extracted and provided to the evidence repository by establishing patterns for translation from text from at least one of the at least two evidentiary sources to at least one medical ontology by observing regularities in the text and mapping the irregularities to control structures in the at least one medical ontology.

7. The system of claim 1, wherein the at least one reasoning approach is selected from the group consisting of rule-based reasoning, a Semantic Web inference engine, a Bayesian network model, a neural network, and case-based reasoning.

8. The system of claim 1, wherein the at least one reasoning approach comprises two reasoning approaches comprising rule-based reasoning and a Bayesain network model.

9. The system of claim 1, wherein the at least one outcome is selected from the group consisting of a member outcome, a case manager outcome, a cost/utility return-on-investment data, and a documented report.

10. The system of claim 1, wherein the at least one item of evidence within the evidence repository was extracted and provided to the evidence repository by abstracting the at least one item of evidence into one or more evidence tables, linking the one or more evidence tables in a knowledge base using an algorithm, and utilizing an ontology-driven extraction of linguistic patterns to reconstruct knowledge from at least one of the at least two evidentiary sources.

11. The system of claim 10, wherein the algorithm is selected from the group consisting of a concatenation algorithm and an unsupervised decision list algorithm, the unsupervised decision list algorithm operable to learn extraction patterns and based upon Population, Intervention or interest, Comparison intervention or group, and Outcome (PICO) search settings.

12. A method for utilizing and analyzing information to provide a desired outcome, the method comprising the steps of:

operating a system for utilizing and analyzing information to generate at least one outcome, the system comprising;

an evidence repository comprising at least one item of evidence from each of at least two evidentiary sources, and

a knowledge management and decision support system in communication with the evidence repository, the knowledge management and decision support system operable to retrieve evidence from the evidence repository and process the at least one item of evidence according to at least one reasoning approach, the knowledge management and decision support system further operable to generate at least one outcome; and

utilizing the at least one outcome to provide at least one service to a client.

13. A system for preparing a care plan, the system comprising:

a database capable of receiving client data; and

a processor operably connected to the database, the processor having and executing a program and operational to;

access one or more primary categories, one or more secondary categories within the one or more primary categories, and one or more tertiary categories within the one or more secondary categories;

access one or more findings, each of the one or more findings relating to one or more recommendations;

access one or more tools, the one or more tools capable of addressing one or more of the one or more recommendations;

display the one or more findings, the one or more recommendations, and the one or more tools in a desired order; and

create a care plan containing the one or more findings, the one or more recommendations, and the one or more tools, the care plan comprising data fields pertaining to the status of the one or more recommendations, the responsibility for addressing the one or more recommendations, and the completion of the one or more recommendations.

14. The system of claim 13, wherein the created care plan is stored within a storage medium operably connected to the processor, the storage medium capable of storing multiple care plans.

15. The system of claim 13, wherein the processor is further operational to execute the program to display multiple care plans.

16. A method for preparing a care plan, the method comprising the steps of:

entering assessment data into a case management system;

obtaining an assessment summary based upon the assessment date from the case management system;

creating a new care plan in a knowledge management and decision support system;

transferring the new care plan to the case management system; and

finalizing the new care plan in the case management system.

17. A system for managing the health care of a client, the system comprising:

a case management system operable to receive at least one of assessment data, case notes, and/or outcomes; and

a knowledge management and decision support system operable to receive case data from the case management system, the case data relating to the at least one of assessment data, case notes, and/or outcomes, the knowledge management and decision support system further operable to generate one or more care plans and to provide the one or more care plans to the ease management system.

18. The system of claim 17, wherein the generated one or more care plans facilitate client health care management.

19. The system of claim 17, wherein the knowledge management and decision support system is further operable to generate one or more tools and to provide the one or more tools to the case management system.

20. A method for managing health care of a client, the method comprising the steps of:

providing assessment data from at least one of a client, a client'"'"'s family, and/or a client'"'"'s spouse to a health care manager;

providing at least one of the assessment data, case notes, and/or outcomes from the health care manager to a case management system;

operating the case management system to compile case data and to provide the case data to a knowledge management and decision support system;

operating the knowledge management and decision support system to generate one or more care plans and to provide the one or more care plans to the case management system; and

providing at least one of the one or more care plans from the knowledge management and decision support system and additional client tools to at least one of the client, the client'"'"'s family, and/or the client'"'"'s spouse to manage the client'"'"'s health care.

21. A system for mining information from various knowledge sources, the system comprising:

one or more knowledge sources;

a text mining mechanism operable to mine text from the one or more knowledge sources; and

a knowledge management and decision support system operable to;

obtain mined text from the text mining mechanism,

obtain information from the one or more knowledge sources either directly or by way of an intermediate expert, and

generate one or more plans comprising data based upon the information.

22. The system of claim 21, whereby the case data within the generated one or more plans becomes at least one of the one or more knowledge sources.

23. The system of claim 22, wherein the one or more plans comprises one or more care plans, and wherein the data comprises case data.

24. An architecture for mining literature, the architecture comprising:

one or more literature databases accessible by an object tagging mechanism;

one or more medical dictionaries in communication with an object identification mechanism, wherein the object identification mechanism utilizes one or more learning algorithms useful for at least one of concept tagging, identification, and/or association discovery;

one or more healthcare-specific knowledge bases in communication with the object tagging mechanism and the object identification mechanism;

a system interface;

a relationship identification; and

a user interface in communication with various dynamic user specific knowledge networks to allow a user to access said networks and portions of said architecture.

25. A method for generating terms using a term extraction algorithm, the method comprising the steps of:

identifying unique tokens appearing in each document of a training corpus;

calculating a frequency of each unique token in each document, the total number of documents in which each unique token appears, and a total number of documents in a training set;

converting the frequency of each unique token to a weight; and

ranking a list of each unique tokens by its weight.