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System and Method for Intelligent Scheduling of Dependant Activities

IP.com Disclosure Number: IPCOM000236437D
Publication Date: 2014-Apr-25
Document File: 2 page(s) / 36K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system to use knowledge of a user’s schedule to initiate or update tasks based on other tasks relative to a known user schedule. This enables a person to maintain an optimal schedule for achieving all tasks in a correct and timely fashion.

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System and Method for Intelligent Scheduling of Dependant Activities

A person's activities and tasks are often interdependent, and if a person has multiple interdependent activities on a daily schedule, it might be difficult to track each one and execute it at the optimal time. For example, many medications need to be taken within certain periods relative to other events (e.g., taking other medications, eating meals, sleeping, etc.) A method is needed to schedule such repetitive tasks relative to other known events about a user, such that the person can consume medication at an optimal time or receive a recommendation for a daily schedule change to accommodate the best time to take the medication.

The novel contribution is a system to use knowledge of a user's schedule to initiate or update tasks based on other tasks relative to a known user schedule.

The components and process for implementing the system follow:

1. Quick Reference (QR) code or bar code is on an object with time considerations, such as medicine (existing art)

2. System obtains the timing information for consumption (existing art). Information contains data about timing relative to other events, such as (but not limited to):

A. Meals

B. Sleep
C. Other medications
D. Time between taking of the medication(s)

    E. Periods of driving F. Exercising 3. System obtains information about a user's schedule A. Specific events from the user's current calendar (existing art), including current medication schedules
B. Regular events from multiple means i. meal times may be inferred by locations and times of day (e.g., close to restaurants at noon daily)

ii.sleep or similar times may be inferred fr...