US 2019/0156928 A1Published application

System and method for assisting medication management and adherence

OwnerShuohui Chen, Tianyi Tang +1inventors

InventorsShuohui Chen, Tianyi Tang, Remo L. Morelli

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Abstract

An affordable and convenient system that a patient and their medication related parties can use to monitor their adherence to multiple medications in their original pill bottles. The high precision scale sensor and the firmware collects, checks and stores a users' medication information in a backend data platform in the cloud through a secured channel. A mobile app serves as a personal virtual assistant that relies on up-to-date artificial intelligence and messaging technology to set up a medication adherence monitoring system and secured communication platform among the related parties to the patient.

Claims20

Dependent claims

A system for assisting management and adherence of medication, comprising:

a docking device having:
one or more slots where one or more pill bottles containing one or more pills can be placed;
one or more high resolution scale sensors for measuring a mass of the one or more pill bottles;
one or more microcontroller boards having one or more firmware programs and one or more wireless connectivity modules,
wherein the one or more firmware programs monitors a change in mass of the one or more pill bottles based on the measured mass of the one or more pill bottles, and computes a probability of an object moving in or out of the one or more pill bottles being one or more pills based on a Bayesian inference model,
wherein pill bottle related information and the probability are read by the one or more microcontroller boards and posted to a cloud database through the one or more wireless connectivity modules using a first RESTful application programming interface (API) with authorization tokens;
and
one or more mobile or web apps for communicating with the cloud database through a second RESTful API with authorization tokens.

5 more elements

A method for assisting management and adherence of medication, comprising:

initiating a docking device and one or more pill bottles for user and medication information through one or more apps, wherein the docking device includes:
one or more slots where one or more pill bottles containing one or more pills can be placed;
one or more high resolution scale sensors for measuring a mass of the one or more pill bottles;
one or more microcontroller boards having one or more firmware programs and one or more wireless connectivity modules,
wherein the one or more firmware programs monitors a change in mass of the one or more pill bottles based on the measured mass of the one or more pill bottles, and computes a probability of an object moving in or out of the one or more pill bottles being one or more pills based on a Bayesian inference model;
reading pill bottle related information and the probability by the one or more microcontroller boards;
and
posting the pill bottle related information and the probability to a cloud database through the one or more wireless connectivity modules using a first RESTful application programming interface (API) with authorization tokens.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/449,967Filed 5 Mar 2017
Priority: 11 Jan 2017
Published: 23 May 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification18 codes

G16H 20/10
ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient…:…
G06F 9/547
Interprogram communication: remote procedure calls [RPC]; Web services
G06F 16/27
Of structured data, e.g. relational data: replication, distribution or synchronisation of data between databases or within a distributed database…
G06N 5/04
Computing arrangements using knowledge-based models: inference or reasoning models

Family

Application62/444,834Us provisional application · filed 11 Jan 2017
US 2019/0156928 A1This patent

From the US filing history. Foreign family members aren’t listed.

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