Personalized management and comparison of medical condition and outcome based on profiles of community patients

• US 8,160,901 B2
• Filed: 10/14/2008
• Issued: 04/17/2012
• Est. Priority Date: 10/12/2007
• Status: Active Grant

• Current Assignee: PatientsLikeMe LLC (UnitedHealth Group Incorporated)
• Original Assignee: PatientsLikeMe, Inc. (UnitedHealth Group Incorporated)
• Inventors: Heywood, Benjamin, Cole, Jeff, Heywood, James
• Primary Examiner(s): O'Connor, Gerald J.
• Assistant Examiner(s): PAULS, JOHN A
• Application Number:
  US12/251,031
• Publication Number:
  US 20090125333A1
• Time in Patent Office: 1,281 Days
• Field of Search: 705/2, 705/3, 707/100, 707/5
• 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 facilitating a user-initiated clinical study to determine the efficacy of an intervention, the method comprising:

receiving a request from one or more of the patients to initiate the clinical study to determine the efficacy of the intervention;

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

collecting information regarding diseases and symptoms on a server computer from the one or more patients via the graphical user interface on the client computer before each of the patients employs the intervention to treat a disease;

collecting information on the server computer from the graphical user interface about the intervention employed by the one or more patients;

collecting information on the server computer from the plurality of patients regarding experienced symptoms via the graphical user interface after a subset of the patients employs the intervention to treat the disease; and

analyzing the collected information regarding diseases, symptoms, and intervention to determine the efficacy of the intervention in treating the disease on the server computer;

wherein the intervention is selected from the group consisting of;

administration of a medication, administration of a remedy, administration of a nutritional supplement, administration of a vitamin, exercise, physical therapy, massage, stretching, consumption of food, rest, sleep, and a modification of any of the foregoing.

2. The method of claim 1, wherein the analyzing step includes,

comparing the efficacy of the intervention with data from one or more control patients on the server computer.

3. The method of claim 1, wherein the analyzing step includes, comparing the pre-remedy information with post-intervention information.

4. The method of claim 1, further comprising:

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

5. A method of identification of a possible personalized intervention for a patient experiencing at least one side effect associated with a present intervention, the method comprising:

providing a database communicatively coupled with a server computer, the 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 on a client computer, the graphical user interface allowing a patient to formulate a request specifying one or more attributes of the patient including;

one or more diseases currently affecting the patient;

one or more interventions currently employed by patient; and

one or more side effects currently experienced by the patient;

searching the database of patient information for a set of other patients that previoulsy experienced at least one of the specified side effects when employing at least one of the specified interventions;

for each of the other patients in the set of other patients that previously experienced at least one of the specified side effects when employing the at least one of the specified interventions, identifying an alternative intervention that was employed most-recently by that other patient; and

returning a set of the one or more alternative interventions that were most-commonly employed most-recently by the set of other patients that experienced the one or more specified side effects when employing the one or more specified interventions;

wherein the intervention is selected from the group consisting of;

administration of a medication, administration of a remedy, administration of a nutritional supplement, administration of a vitamin, exercise, physical therapy, message, stretching, consumuption of food, rest, sleep, and a modification of any of the foregoing.

6. The method of claim 5, 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.

7. The method of claim 5, 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. The method of claim 7, wherein the one or more diseases includes depression.

9. The method of claim 8, wherein the one or more interventions is an antidepressant.

10. The method of claim 5, wherein the one or more alternative interventions are ranked based on the proportion of other patients that most-recently employed the one or more alternative interventions.

11. The method of claim 5, wherein the patient information is stored in a state model.

12. The method of claim 11, wherein each intervention is stored as a different state within the state model.

13. The method of claim 5, wherein the one or more interventions and the one or more alternative interventions are selected from the group consisting of:

administration of a medication, administration of a remedy, administration of a nutritional supplement, and administration of a vitamin.

14. The method of claim 5, wherein the one or more interventions and the one or more alternative interventions are selected from the group consisting of:

exercise, physical therapy, massage, stretching, consumption of food, rest, and sleep.

15. The method of claim 5, wherein the one or more alternative interventions are ranked.

16. The method of claim 15, wherein the one or more alternative interventions are ranked based on the average duration of use for the one or more alternative interventions.

17. The method of claim 15, wherein the one or more alternative interventions are ranked from most-commonly-employed to least-commonly-employed.