PERSONALIZED MANAGEMENT AND COMPARISON OF MEDICAL CONDITION AND OUTCOME BASED ON PROFILES OF COMMUNITY PATIENTS

• US 20090125333A1
• Filed: 10/14/2008
• Published: 05/14/2009
• Est. Priority Date: 10/12/2007
• Status: Active Grant

• Current Assignee: PatientsLikeMe LLC (UnitedHealth Group Incorporated)
• Original Assignee: PatientsLikeMe, Inc. (UnitedHealth Group Incorporated)
• Inventors: Cole, Jeff, Heywood, James, Heywood, Benjamin
• Granted Patent: US 8,160,901 B2
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/4824 Touch or pain perception evaluation A61B5/4821 takes precedence
• CPC Class Codes: A61B 5/4833 Assessment of subject's compliance to treatment
• CPC Class Codes: G06Q 50/22 Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• 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 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/60 relating to pathologies
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The invention can be directed toward a method for personalized management and comparison of medical condition and outcome based on patient profiles of a community of patients. The method can include the steps of providing a database of patient profiles, providing a user interface for inputting a query of the database from a user, generating a query result including one or more matching patient profiles from the database, and displaying the query result as a correlation medical condition parameters of the user with a medical outcome.

Claims

1. A method of studying the efficacy of an intervention, the method comprising:

providing a graphical user interface allowing one or more patients to input information regarding their diseases, symptoms, and remedies;

collecting information from a plurality of patients before each of the patients employs a remedy to treat a disease;

collecting information about the remedy;

collecting information from the plurality of patients after a subset of the patients employs a remedy to treat the disease; and

determining the efficacy of the remedy in treating the disease.

2. The method of claim 1, further comprising:

comparing the efficacy of the remedy with data from one or more control patients.

3. The method of claim 1, wherein determining the efficacy of the remedy includes comparing the pre-remedy information with post-remedy information.

7. The method of claim 1, wherein the alternative interventions are the most recent interventions employed by the other patients.

15. The method of claim 1, further comprising:

processing a request from the patient to modify a composition of the set of other patients.

16. The method of claim 15, wherein the composition of the set of other patients is defined by fuzzy logic.

17. The method of claim 15, wherein modifying the composition of the set of other patients includes modifying the range of attributes of patients within the set.

18. The method of claim 15, wherein modifying the composition of the set of other patients includes modifying the importance of attributes of patients in composing the set.

19. The method of claim 15, wherein the composition of the set of other patients is defined by an optimal matching algorithm on a graph of attribute similarity metrics.

20. The method of claim 15, wherein the composition of the set of other patients is defined by a scalar-vector decomposition on a matrix of similarities of attributes of the set of other patients.

21. The method of claim 1, further comprising:

conducting a multivariate pattern matching search of data related to the other patients.

4. A method of identification of a possible personalized intervention for a patient experiencing at least one complication or dissatisfaction with outcomes from a present intervention comprising:

providing a database containing patient information for a plurality of patients including one or more attributes for each patient in the database;

providing a graphical user interface displaying allowing a patient to formulate a request specifying one or more attributes of the patient including;

one or more diseases affecting the patient;

one or more interventions employed by patient; and

one or more side effects experienced by the patient;

searching the database of patient information for patients having the specified one or more attributes including at least one of the specified side effects; and

returning one or more alternative interventions that were employed by other patients that experienced the one or more specified side effects when employing the one or more interventions.

5. The method of claim 4, wherein the one or more attributes includes at least one selected from the group consisting of:

age, race, ethnicity, gender, height, weight, body mass index (BMI), body volume index (BVI), genotype, phenotype, disease, disease severity, disease progression rate, measures of functional ability, quality of life, interventions, and remedies.

6. The method of claim 4, wherein the disease includes at least one selected from the group consisting of:

neurological diseases, Amytrophric Lateral Sclerosis (ALS), Multiple Sclerosis (MS), Parkinson'"'"'s Disease, Human Immunodeficiency Virus (HIV), Acquired Immune Deficiency Syndrome (AIDS), depression, mood disorders, cancer blood cancer, fibromyalgia, epilepsy, post traumatic stress disorder, traumatic brain injury, cardiovascular disease, osteoporosis, chronic obstructive pulmonary disease, arthritis, allergies, autoimmune diseases, and lupus.

8. A method for providing personalized medical information comprising:

providing a database containing patient information for a plurality of patients including one or more attributes for each patient in the database;

providing a graphical user interface displaying one or more attributes of a patient, the graphical user interface allowing the patient to formulate a search request specifying at least one of the attributes;

searching the database of patient information for patients having the specified one or more attributes; and

returning data to the patient identifying a set of other patients having the specified one or more attributes.

9. The method of claim 8, wherein the one or more attributes includes at least one selected from the group consisting of:

age, race, ethnicity, gender, height, weight, body mass index (BMI), body volume index (BVI), genotype, phenotype, disease, disease severity, disease progression rate, measures of functional ability, quality of life, interventions, and remedies.

10. The method of claim 9 where the database includes correlation between an attribute and at least one secondary attribute selected from the group consisting of:

quality of life, functional ability, pain, and treatment intensity.

11. The method of claim 9, wherein the disease includes at least one selected from the group consisting of:

neurological diseases, Amytrophric Lateral Sclerosis (ALS), Multiple Sclerosis (MS), Parkinson'"'"'s Disease, Human Immunodeficiency Virus (HIV), Acquired Immune Deficiency Syndrome (AIDS), depression, mood disorders, cancer blood cancer, fibromyalgia, epilepsy, post traumatic stress disorder, traumatic brain injury, cardiovascular disease, osteoporosis, chronic obstructive pulmonary disease, arthritis, allergies, autoimmune diseases, and lupus.

12. The method of claim 8, wherein the data returned includes individual data for one or more members of the set of other patients.

13. The method of claim 8, wherein the data returned includes aggregate data for one or more members of the set of other patients.

14. The method of claim 13, further comprising:

processing a request from the patient to view individual data.

22. A computer-readable medium whose contents cause a computer to perform a method for providing personalized medical information comprising:

providing a database containing patient information for a plurality of patients including one or more attributes for each patient in the database;

providing a graphical user interface displaying one or more attributes of a patient, the graphical user interface allowing the patient to formulate a search request specifying at least one of the attributes;

searching the database of patient information for patients having the specified one or more attributes; and

returning data to the patient identifying a set of other patients having the specified one or more attributes.