System and method for increasing compliance with a health plan
Abstract
System and method to determine user compliance with personalized diet and exercise plans by analyzing responses to messages about the plans. An expert system has a number of stored messages and display characteristics from which it chooses. The expert system generates message relating to the user's diet or physical activity that are sent to a user's mobile device and analyzes responses. Display characteristics change periodically and compliance data relating to the user's adherence to the plan when certain display characteristics are used is stored (e.g., meal plan adherence, acceptance of specific food selections, and adherence to instructions and advice in messages). The expert system then determines which messages and display characteristics achieve the greatest compliance to the dietary and physical activity schedule and goals.
Claims
exact text as granted — not AI-modified1 . A computerized method for tracking, monitoring, and analyzing message data to increase compliance with personalized diet and exercise plans, comprising at least one server executing programming instructions for:
(a) storing in at least one user profile database for a plurality of users profile data comprising:
(1) contact information for said users;
(2) personal information for said users;
(3) dietary and exercise plan data for said users; and
(4) compliance data for said users;
(b) storing in at least one message database:
(1) message content data for communicating messages to said users;
(2) display characteristics data for formatting said messages;
(c) identifying a group of users selected from said plurality of users according to similarities in said profiles for said users; (d) selecting for said group of users:
(1) a plurality of messages from said message content data; and
(2) display characteristics from said display characteristics data for formatting said plurality of messages;
(e) setting a time period for transmitting said plurality of messages and said plurality of display characteristics; (f) during said time period,
(1) transmitting to mobile devices for said group of users said messages with at least a portion of said display characteristics; and
(2) receiving from mobile devices for said group of users responses to said messages formatted with said display characteristics;
(g) after said time period, calculating a plurality of compliance measures for said messages and said display characteristics based on said responses from said group of users; and (h) transmitting to said mobile devices for said group of users additional messages with display characteristics determined from said compliance measures to result in positive responses from said group of users.
2 . The computerized method of claim 1 , further comprising updating said compliance data for said group of users according to said compliance measures.
3 . The computerized method of claim 1 , wherein said compliance measures comprise calculating for each of said users a number of messages received and acknowledged over said time period.
4 . The computerized method of claim 1 , wherein said compliance measures comprise a number of users who have responded to said transmitted messages, a number of users who have not responded to said transmitted messages, and a number of users who have quit a respective diet and exercise plan within said time period.
5 . The computerized method of claim 1 , wherein said compliance measures are selected from the group consisting of:
meal plan adherence, acceptance of food selections, and instruction adherence, user frequency of responses, user nature of responses, user frequency of interaction with a web site, and user nature of interaction with a web site.
6 . The computerized method of claim 1 , wherein transmitting said messages with at least a portion of said display characteristics to mobile devices for said group of users comprises transmitting at least one identical message to each user in said group of users.
7 . The computerized method of claim 1 , wherein selecting a plurality of messages for said group of users comprises selecting messages from the group consisting of: diet goals, diet reminders, activity goals, and activity reminders.
8 . The computerized method of claim 1 , wherein said display characteristics are selected from the group consisting of: text font, text size, text underlining, border, graphic, and voice pattern.
9 . A computerized system for tracking, monitoring, and analyzing message data to increase compliance with personalized diet and exercise plans, comprising:
(a) at least one user profile database storing for a plurality of users profile data comprising:
(1) contact information for said users;
(2) personal information for said users;
(3) dietary and exercise plan data for said users; and
(4) compliance data for said users;
(b) at least one message database storing:
(1) message content data for communicating messages to said users;
(2) display characteristics data for formatting said messages;
(c) at least one server executing programming instructions to:
(1) identify a group of users selected from said plurality of users according to similarities in said profiles for said users;
(2) select for said group of users:
(i) a plurality of messages from said message content data; and
(ii) display characteristics from said display characteristics data for formatting said plurality of messages;
(3) set a time period for transmitting said plurality of messages and said plurality of display characteristics;
(4) during said time period,
(i) transmit to mobile devices for said group of users said messages with at least a portion of said display characteristics; and
(ii) receive from mobile devices for said group of users responses to said messages;
(5) after said time period, calculate a plurality of compliance measures for said messages and said display characteristics based on said responses from said group of users; and
(6) transmit to said mobile devices for said group of users additional messages with display characteristics determined from said compliance measures to result in positive responses from said group of users.
10 . The computerized system of claim 9 , wherein said server further executes instructions to update said compliance data for said group of users according to said compliance measures.
11 . The computerized system of claim 9 , wherein said compliance measures comprise calculating for each of said users a number of messages received and acknowledged over said time period.
12 . The computerized system of claim 9 , wherein said compliance measures comprise a number of users who have responded to said transmitted messages, a number of users who have not responded to said transmitted messages, and a number of users who have quit a respective diet and exercise plan within said time period.
13 . The computerized system of claim 9 , wherein said compliance measures are selected from the group consisting of:
meal plan adherence, acceptance of food selections, and instruction adherence, user frequency of responses, user nature of responses, user frequency of interaction with a web site, and user nature of interaction with a web site.
14 . The computerized system of claim 9 , wherein transmitting said messages with at least a portion of said display characteristics to mobile devices for said group of users comprises transmitting at least one identical message to each user in said group of users.
15 . The computerized system of claim 9 , wherein selecting a plurality of messages for said group of users comprises selecting messages from the group consisting of: diet goals, diet reminders, activity goals, and activity reminders.
16 . The computerized system of claim 9 , wherein said display characteristics are selected from the group consisting of: text font, text size, text underlining, border, graphic, and voice pattern.
17 . A computerized method for tracking, monitoring, and analyzing message data to increase compliance with personalized diet and exercise plans, comprising at least one server executing programming instructions for:
(a) storing in at least one user profile database for a plurality of users profile data comprising:
(1) contact information for said users;
(2) personal information for said users;
(3) dietary and exercise plan data for said users; and
(4) compliance data for said users;
(b) storing in at least one message database:
(1) message content data for communicating messages to said users;
(2) display characteristics data for formatting said messages;
(c) transmitting to a group of users selected from said plurality of users according to similarities in said profiles for said users:
(1) a plurality of messages selected from said message content data; and
(2) display characteristics for formatting said plurality of messages selected from said display characteristics data;
(d) setting a time period for:
(1) transmitting to mobile devices for said group of users said plurality of messages and at least a portion of said display characteristics; and
(2) receiving from mobile devices for said group of users responses to said messages formatted with said display characteristics;
(e) after said time period, calculating a plurality of compliance measures for said messages and said display characteristics based on said responses from said group of users to determine which messages and display characteristics result in positive responses from said group of users.
17 . The computerized method of claim 16 , further comprising updating said compliance data for said group of users according to said compliance measures.
18 . The computerized method of claim 17 , further comprising transmitting to each of said users in said group of users additional messages and display characteristics for formatting said additional messages selected for each of said users according to said compliance data for said user.
19 . The computerized method of claim 16 , wherein said compliance measures are selected from the group consisting of:
meal plan adherence, acceptance of food selections, and instruction adherence, user frequency of responses, user nature of responses, user frequency of interaction with a web site, and user nature of interaction with a web site.
20 . The computerized method of claim 16 , wherein said display characteristics are selected from the group consisting of: text font, text size, text underlining, border, graphic, and voice pattern.Join the waitlist — get patent alerts
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