Systems and methods for monitoring patient medication adherence

• US 9,946,844 B2
• Filed: 03/03/2016
• Issued: 04/17/2018
• Est. Priority Date: 02/22/2013
• Status: Active Grant

• Current Assignee: Cloud Dx, Inc.
• Original Assignee: Cloud Dx, Inc.
• Inventors: Kaul, Robert, Ross-Howe, Sara, Pedro, Justin
• Primary Examiner(s): Jackson, Gary
• Assistant Examiner(s): PAHAKIS, MANOLIS Y
• Application Number:
  US15/060,514
• Publication Number:
  US 20160188839A1
• Time in Patent Office: 775 Days
• Field of Search: None
• CPC Class Codes: A61B 2560/0468 Built-in electrodes
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/0225 the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/4833 Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• 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

Invention for determining a patient'"'"'s adherence to various prescribed medications. Here a variety of different types of patient pulse wave measurements (blood pressure, pulse oximeter, ECG) and other physiological measurements are obtained. This actual data is compared to calculated measurements that would be expected based on the various patient baseline measurements in the absence of medication, schedule of medications, and impact of medications the various patient baseline measurements. If the actual data meets expectations, then the patient is likely adhering to the regime. Depending on which types of data do not meet expectations, non-adherence to various previously described medications may be reported. Other types of patient physiological readings, such as temperature, motion, lung function, brain wave function (EEG) and the like may also be obtained, and these additional types of readings can be used to extend the range of different types of drugs/medications that the invention can successfully monitor.

Claims

1. A method for determining a patient'"'"'s adherence to a mix of medications in a medication regimen, said method comprising:

providing patient operable instrumentation comprising;

a plurality of physiological monitoring devices configured to obtain a plurality of different types of actual patient pulse wave measurements comprising electrode-based time varying electrocardiograph readings, and time varying blood oxygen saturation levels, and time varying blood pressure measurements;

at least one processor configured to control the plurality of physiological monitoring devices and memory;

wherein said patient operable instrumentation and said physiological monitoring devices are a unitized, common processor controlled, system including;

wherein said time varying blood pressure measurement types are oscillometric cuff type blood pressure measurements;

obtaining a plurality of medication impact parameters, each individual medication impact parameter providing information on how a specific medication alters a specific type of pulse wave measurements, the plurality of medication impact parameters including medication impact parameters for each medication in the mix;

obtaining a plurality of patient reference information, each individual patient reference information providing information on a specific type of patient baseline pulse wave measurement in an absence of patient medication;

wherein said plurality of medication impact parameters and plurality of patient reference information further provide information corresponding to all of said different types of actual patient pulse wave measurements;

obtaining dosing schedule information for the mix of medications of the medication regimen;

storing the plurality of medication impact parameters, the plurality of patient reference information, and the dosing schedule information in said memory;

obtaining said plurality of different types of actual patient pulse wave measurements with the patient operable instrumentation;

analyzing, using said at least one processor, said plurality of different types of actual patient pulse wave measurements;

calculating, using said at least one processor, expected patient pulse wave measurements, corresponding to all of the different types of actual patient pulse wave measurements, based on the mix of medications, said dosing schedule information and said plurality of patient reference information and said plurality of medication impact parameters;

identifying which one or more medications from the mix of medications in the regimen was not taken by the patient, based on determining, using said at least one processor, which of said plurality of different types of actual patient pulse wave measurements are inconsistent with said expected patient pulse wave measurements; and

issuing an alarm reporting the one or more medications not taken by the patient.

2. The method of claim 1, further obtaining patient alarm information, said patient alarm information reporting on any of the blood oxygen saturation, blood pressure measurements, or electrocardiograph readings that fall outside of previously established boundaries.

3. The method of claim 1, further determining with said processor when inconsistent findings were obtained over more than one different type of actual patient pulse wave measurements.

4. The method of claim 1, wherein determining said plurality of medication impact parameters by said processor by from at least one of either:

a) averages over a plurality of other patients in a presence and absence of said a medication from the mix of medications, further computing difference parameters between said presence and absence of said a medication from the mix of medications;

b) data obtained from said patient in said presence and absence of said a medication from the mix of medications, further computing difference parameters between said presence and absence of said a medication from the mix of medications.

5. The method of claim 1, wherein said plurality of patient reference information by said processor from at least one of either:

a) averages over a plurality of other patients in an absence of said a medication from the mix of medications;

b) data obtained from said patient in said absence of said a medication from the mix of medications.

6. The method of claim 1, wherein the determining said expected patient pulse wave measurements by said processor, includes:

for each individual medication in said patient medication schedule information;

a) using selected corresponding individual medication impact parameters from said plurality of medication impact parameters to produce selected individual medication impact parameters;

b) applying, either analytically or empirically, said selected individual medication impact parameters to said plurality of patient reference information to produce intermediate transformed patient reference information;

c) producing said expected patient pulse wave measurements by repeating steps a and b until all individual medication in said mix information has been processed.

7. The method of claim 1, wherein said patient operable instrumentation is further configured to receive compliance information from said patient reporting on periods of at least one of patient medication compliance or non-compliance, and to use said compliance information to select at least some actual patient pulse wave measurements for use in establishing or refining at least some of said medication impact parameters or said patient reference information.

8. The method of claim 1, further reporting at least some of those medications where inconsistent findings were determined by said processor to a remote computerized device over a network;

and storing least some of those medication where inconsistent findings were obtained in at least one remote network computer memory.

9. The method of claim 1 wherein any of said plurality of medication impact parameters, plurality of patient reference information, and dosing schedule information is either uploaded or downloaded by said processor over a network from a remote computerized device.