Physiological monitor system for determining medication delivery and outcome

• US 9,075,910 B2
• Filed: 03/11/2011
• Issued: 07/07/2015
• Est. Priority Date: 03/11/2010
• Status: Expired due to Fees

• Current Assignee: PhiloMetron Inc.
• Original Assignee: PhiloMetron Inc.
• Inventors: Bhavaraju, Naresh Chandra, Edman, Carl Frederick, Drinan, Darrel Dean, MacCollum, Michael Wayne
• Primary Examiner(s): Bui, Bryan
• Application Number:
  US13/046,280
• Publication Number:
  US 20110224912A1
• Time in Patent Office: 1,579 Days
• Field of Search: 702/19
• US Class Current: 1/1
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/4848 Monitoring or testing the effects of treatment, e.g. of medication
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A method is described for the determination of the taking of a medication utilizing at least one physiological parameter monitoring platform. In addition, the method also may enable the determination of physiological effects or events resultant from the taking of a medication (or lack thereof) through the use of one or more physiological monitoring platforms.

Claims

1. A method for quantifying the effect of a medication on a patient, the method comprising:

providing a monitoring platform capable of measuring one or more physiological parameters;

obtaining a first set of measurements of the physiological parameters from the patient by using the monitoring platform to measure the physiological parameters during a first period of time;

compiling a first signature from a first set of data including the first set of measurements; and

comparing the first signature with a second signature to determine acceptance of whether a degree of concordance rises to a sufficient level of probability that a change has occurred in the physiological parameters;

wherein the second signature is compiled from a second set of data including a second set of measurements of the physiological parameters obtained from the patient during a second period of time.

2. The method of claim 1, wherein a non-physiological event has occurred between the first period of time and the second period of time.

3. The method of claim 2, wherein the non-physiological event is a signal associated with removal of the medication from a container.

4. The method of claim 2, wherein the non-physiological event is a signal associated with a delivery of the medication.

5. The method of claim 1, wherein the second signature is a signature associated with a degradation in health status.

6. The method of claim 1, wherein compiling a first signature includes weighting each of the physiological parameters.

7. The method of claim 1, wherein the first set of data further includes one or more of age, gender, and co-morbidities.

8. The method of claim 1, wherein the obtaining a first set of measurements includes obtaining a first set of measurements for one or more periods of time having different lengths.

9. The method of claim 1, wherein the medication is a therapy or an activity.

10. The method of claim 1, wherein the medication is the avoidance of a behavior or an activity.

11. A method for quantifying the effect of a medication on a patient, the method comprising:

providing a monitoring platform capable of measuring one or more physiological parameters;

obtaining a first set of measurements of the physiological parameters from the patient by using the monitoring platform to measure the physiological parameters;

compiling a first signature from a first set of data including the first set of measurements; and

comparing the first signature with a second signature to determine acceptance of whether a degree of concordance rises to a sufficient level of probability that a change has occurred in the physiological parameters;

wherein the second signature is a predefined signature compiled from a second set of data including a second set of measurements of the physiological parameters obtained from one or more other patients.

12. The method of claim 11, wherein the predefined signature is a medication effect signature compiled from a second set of data including targeted endpoints for the physiological parameters.

13. The method of claim 11, wherein the predefined signature is a side effect signature compiled from predefined tabular data for the physiological parameters.

14. The method of claim 11, wherein compiling a first signature includes weighting each of the physiological parameters.

15. The method of claim 11, wherein the first set of data further includes one or more of age, gender, and co-morbidities.

16. The method of claim 11, wherein the obtaining a first set of measurements includes obtaining a first set of measurements for one or more periods of time having different lengths.

17. The method of claim 11, wherein the medication is a therapy or an activity.

18. The method of claim 11, wherein the medication is the avoidance of a behavior or an activity.

19. A method for quantifying the effect of a medication on a patient, the method comprising:

providing a monitoring platform capable of measuring one or more physiological parameters;

obtaining a first set of measurements of the physiological parameters from the patient by using the monitoring platform to measure the physiological parameters during a first period of time;

compiling a first signature from a first set of data including the first set of measurements; and

comparing the first signature with a second signature to determine acceptance of whether a degree of concordance rises to a sufficient level of probability that a change has occurred in the physiological parameters;

wherein the second signature is a composite representation compiled from a second set of data including a second set of measurements of the physiological parameters obtained from the patient during a second period of time.

20. The method of claim 19, wherein the composite representation is a multivariate representational line representative of the signature compiled from a second set of data including a second set of measurements of the physiological parameters.