Computing Device Configured with User Check-In for Mental Health and Wellness
Abstract
Implemented is a check-in application instantiated on a user's local computing device, adapted to receive user updates on their current mental health status. The check-in application invites users to check in as frequently as they'd like and provides a calendar with push notifications to serve as reminders for users to check in. Each check-in response is assessed to determine a mental health severity level for a given user, typically broken down into low, medium, and high severity levels. Each severity level is associated with a set of automated procedures that the check-in application initiates based on the detected severity level. An incentive-based award system is also utilized within the check-in application to encourage users to periodically and consistently use the application.
Claims
exact text as granted — not AI-modifiedWhat is claimed:
1 . A system that utilizes a check-in application for rendering a graphical user interface (GUI) that enables a user to input updates to their mental health status, comprising:
a user computing device, comprising:
log in to a unique user's account associated with the check-in application responsive to receiving login credentials from a user;
render a first screen of the GUI which includes an inquiry regarding the user's mental health status;
receive a user response to the presented inquiry, in which the user response indicates a current status of the user's mental health;
responsive to receiving the user response, determine a severity level of the user response;
implement automated procedures at the check-in application based on the determined severity level of the user response, in which the automated procedures includes rendering a second screen that addresses and is unique to the user's severity level; and
an administrative computing device configured with backend access to the check-in application's system, comprising:
storing at least the user response and a history of user responses;
rendering at least the user response and the history of user responses and mental health information; and
rendering evaluation and follow-up information for administration on a per-patient basis which is at least in part affected by the user response.
2 . The system of claim 1 , wherein the check-in application renders a number of patients awaiting evaluation and follow-ups, in which multiple follow-up columns are rendered which focus on differing temporal parameters.
3 . The system of claim 1 , wherein the severity level includes low severity level, medium severity level, or high severity level, and wherein the severity level affects the rendered evaluation and follow-up information.
4 . The system of claim 1 , further comprising:
rendering, at the administrative computing device, potential earnings for the administration, in which the potential earnings are rendered on a same screen as the evaluation and follow-up information.
5 . The system of claim 1 , further comprising:
rendering, at the administrative computing device, treatment information for multiple patients, in which the treatment information includes at least therapy and coaching in distinct columns.
6 . The system of claim 5 , wherein the treatment information further includes coaching in a distinct column.
7 . The system of claim 1 , further comprising:
receiving, at the administrative computing device, user input that selects a patient; and responsive to receiving the user input, rendering, at the administrative computing device, information specific to that patient, in which the information includes diagrams representing historical user check-in responses and administration notes about the patient.
8 . A method for rendering a graphical user interface (GUI) that enables a user to input updates to their mental health status, comprising:
logging, at a user computing device, in to a unique user's account associated with the check-in application responsive to receiving login credentials from a user; rendering, at a user computing device, a first screen of the GUI which includes an inquiry regarding the user's mental health status; receiving, at a user computing device, a user response to the presented inquiry, in which the user response indicates a current status of the user's mental health; responsive to receiving the user response, determining, at a user computing device, a severity level of the user response; implementing, at a user computing device, automated procedures at the check-in application based on the determined severity level of the user response, in which the automated procedures includes rendering a second screen that addresses and is unique to the user's severity level; storing, at an administrative computing device, at least the user response and a history of user responses; rendering, at an administrative computing device, at least the user response and the history of user responses and mental health information; and rendering, at an administrative computing device, evaluation and follow-up information for administration on a per-patient basis which is at least in part affected by the user response.
9 . The method of claim 8 , wherein the check-in application renders a number of patients awaiting evaluation and follow-ups, in which multiple follow-up columns are rendered which focus on differing temporal parameters.
10 . The method of claim 8 , wherein the severity level includes low severity level, medium severity level, or high severity level, and wherein the severity level affects the rendered evaluation and follow-up information.
11 . The method of claim 8 , further comprising:
rendering, at the administrative computing device, potential earnings for the administration, in which the potential earnings are rendered on a same screen as the evaluation and follow-up information.
12 . The method of claim 8 , further comprising:
rendering, at the administrative computing device, treatment information for multiple patients, in which the treatment information includes at least therapy and coaching in distinct columns.
13 . The method of claim 12 , wherein the treatment information further includes coaching in a distinct column.
14 . The method of claim 8 , further comprising:
receiving, at the administrative computing device, user input that selects a patient; and responsive to receiving the user input, rendering, at the administrative computing device, information specific to that patient, in which the information includes diagrams representing historical user check-in responses and administration notes about the patient.
15 . One or more hardware-based non-transitory computer-readable memory devices disposed in one or more computing devices, the computer-readable instructions, when executed by one or more processors, cause the one or more computing devices to:
log in to a unique user's account associated with the check-in application responsive to receiving login credentials from a user; render a first screen of the GUI which includes an inquiry regarding the user's mental health status; receive a user response to the presented inquiry, in which the user response indicates a current status of the user's mental health; responsive to receiving the user response, determine a severity level of the user response; implement automated procedures at the check-in application based on the determined severity level of the user response, in which the automated procedures includes rendering a second screen that addresses and is unique to the user's severity level; store at least the user response and a history of user responses; render at least the user response and the history of user responses and mental health information; and render evaluation and follow-up information for administration on a per-patient basis which is at least in part affected by the user response.
16 . The one or more hardware-based non-transitory computer-readable memory devices of claim 15 , wherein the check-in application renders a number of patients awaiting evaluation and follow-ups, in which multiple follow-up columns are rendered which focus on differing temporal parameters.
17 . The one or more hardware-based non-transitory computer-readable memory devices of claim 15 , wherein the severity level includes low severity level, medium severity level, or high severity level, and wherein the severity level affects the rendered evaluation and follow-up information.
18 . The one or more hardware-based non-transitory computer-readable memory devices of claim 15 , wherein the executed instructions further cause the one or more computing devices to:
render potential earnings for the administration, in which the potential earnings are rendered on a same screen as the evaluation and follow-up information.
19 . The one or more hardware-based non-transitory computer-readable memory devices of claim 15 , further comprising:
rendering, at the administrative computing device, treatment information for multiple patients, in which the treatment information includes at least therapy and coaching in distinct columns.
20 . The one or more hardware-based non-transitory computer-readable memory devices of claim 19 , wherein the treatment information further includes coaching in a distinct column.Join the waitlist — get patent alerts
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