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US-20260128176-A1 - SYSTEMS AND METHODS FOR IMPROVING LOCATION-BASED SOCIAL DETERMINANTS OF HEALTH

US20260128176A1US 20260128176 A1US20260128176 A1US 20260128176A1US-20260128176-A1

Abstract

This invention pertains to a computer system for evaluating and improving community health scores for a location. The system includes one or more resident devices configured to generate and display a resident evaluation with questions corresponding to social health factors. Resident evaluation data collected from the devices reflects at least one social determinant of health for the location. A remote system server communicates with the resident devices and external data sources via an external network. The server includes processors programmed to receive location data, receive resident evaluation data, and generate a community social health score based at least in part on both. The processors are further configured to determine at least one location improvement or community service to increase the score and to cause information about the improvement or service to be displayed on a location management platform through a graphical user interface.

Inventors

  • Brittany Mary Katalenas
  • Bianca Jasmin
  • Kooper James Kuehl

Assignees

  • Konnected Technologies Inc.

Dates

Publication Date
20260507
Application Date
20251031

Claims (20)

  1. 1 . A computer system for evaluating and improving community health scores for a location, the computer system comprising: one or more resident devices corresponding to the location; a resident evaluation generated on each of the resident devices, the resident evaluation comprising one or more evaluation questions to collect resident evaluation data from the one or more resident devices, wherein each of the one or more evaluation questions correspond to one or more social health factors, the resident evaluation data reflecting at least one social determinant of health corresponding to each of the resident devices corresponding to the location; and a remote system server configured to communicate with the one or more resident devices and one or more external data sources corresponding to the location via an external network, the remote system server comprising one or more processors programmed to: receive a first element of location data from the external data source relating to the location; receive the resident evaluation data; generate a community social health score for the location based at least in part on the location data and the resident evaluation data; determine at least one location improvement or community service to improve the community social health score; and cause to be displayed, to a location management platform for the location via a graphical user interface, information about the at least one location improvement and community service.
  2. 2 . The computer system of claim 1 , wherein each of the one or more evaluation questions is assigned a weight corresponding to at least one of the social health factors.
  3. 3 . The computer system of claim 1 , wherein the community social health score is classified into one of a plurality of categories including, but not limited to, success, progressive, distressed, and hazard, based on one or more threshold values.
  4. 4 . The computer system of claim 1 , wherein the one or more processors are further programmed to: determine, using artificial intelligence and/or machine learning techniques, a predicted decrease in the community social health score; and transmit an alert to the location management platform advising of the predicted decrease in the community social health score.
  5. 5 . The computer system of claim 1 , wherein the location data comprises at least one of: power usage for the location, water usage for the location, current and past temperatures at the location, or maintenance history for the location, wherein at least some of the location data is provided by sensors and/or smart devices located at the location.
  6. 6 . The computer system of claim 1 , wherein the one or more processors are further programmed to execute a machine learning model trained to predict disruptions in the community social health score based on historical resident evaluation data and location data.
  7. 7 . The computer system of claim 1 , wherein the one or more processors are further programmed to communicate with a service provider platform to match residents with external community service providers.
  8. 8 . The computer system of claim 1 , wherein the graphical user interface comprises a dashboard configured to display a map of residents and facilities with corresponding social health categories.
  9. 9 . The computer system of claim 1 , wherein the location management platform comprises a smart router configured to aggregate data from Internet-of-Things devices at the location and transmit the aggregated data to the remote system server.
  10. 10 . The computer system of claim 1 , wherein the one or more processors are further programmed to recommend infrastructure enhancements including at least one of: development of public spaces, community centers, or transportation services in order to improve the community social health score.
  11. 11 . The computer system of claim 1 , wherein the community social health score is generated as a weighted aggregate of resident evaluation data, location data, and external community data.
  12. 12 . The computer system of claim 1 , wherein the one or more processors are further programmed to anonymize the resident evaluation data prior to generating the community social health score.
  13. 13 . The computer system of claim 1 , wherein the one or more processors are further programmed to: generate a digital location profile comprising attributes of the location and associated residents; and update the digital location profile over time based on collected data.
  14. 14 . The computer system of claim 1 , wherein the one or more resident devices access the resident evaluation by scanning a quick response (QR) code, wherein each QR code encodes a unique uniform locator (URL) corresponding to a specific property and evaluation combination.
  15. 15 . The computer system of claim 1 , wherein the one or more processors are further programmed to: replay historical resident evaluation data; identify potentially anomalous or malicious responses based on predefined filtering criteria; and selectively exclude identified responses from the generation of the community social health score.
  16. 16 . The computer system of claim 1 , wherein the one or more processors are further programmed to: track the community social health score over a plurality of time periods; and generate a temporal trend analysis, the temporal trend analysis illustrating one or more changes in the community social health score over time and measuring an impact of the at least one location improvement and community service.
  17. 17 . The computer system of claim 1 , wherein the location management platform is further configured to implement a secure authentication flow, the location management platform comprising one or more processors programmed to: generate a temporary password for a user account; transmit the temporary password to a registered email address; prompt a mandatory password reset upon first login with the temporary password; and log all authentication actions associated with the user account.
  18. 18 . The computer system of claim 8 , wherein the dashboard is further configured to: display one or more customer-specific branding elements including uploaded logo graphics; and provide a plurality of drag-and-drop interface tools to customize one or more data visualization components.
  19. 19 . The computer system of claim 1 , wherein the resident evaluation further comprises a Likert scale response format, wherein each response option is associated with a visual indicator graphic.
  20. 20 . A location management computer platform for collecting data from a resident using a resident computing device and providing the data to a location management service provider, the location management computer platform comprising a resident evaluation, an external data source, and at least one processor in communication with at least one memory device, the at least one processor programmed to: generate a plurality of evaluation questions for the resident evaluation, each evaluation question corresponding to at least one social health factor; receive resident evaluation data from a select resident device; receive location data from at least one location device or the external data source; generate a community social health score based on the resident evaluation data and the location data; and generate and post an electronic notification to a dashboard accessible by the location management service provider detailing an improvement for the location identified to increase the community social health score of the location.

Description

CROSS-REFERENCE TO RELATED APPLICATION This application claims the benefit of priority to U.S. Provisional Patent Application No. 63/715,176, filed Nov. 1, 2024, entitled “SYSTEMS AND METHODS FOR ADVANCED LOCATION SOCIAL HEALTH MONITORING,” the entire content and disclosure of which is hereby incorporated herein by reference in its entirety. FIELD OF THE DISCLOSURE The field of the invention relates generally to generating a social health score for a location and improving the social health score, and more specifically, systems and methods for measuring and monitoring social health data for a location within a community and improving the community social health score. BACKGROUND Numerous challenges may exist for location managers, such as maintenance, resident well-being, and operating efficiency. Conventionally, location management is focused on streamlining specific tasks and measuring property performance utilizing financial models. However, while conventional systems can manage tangible elements of property management the conventional systems lack accountability, transparency, and the ability to evaluate the impact of social determinants of health on the location, the residents, and the community corresponding to the location. These limitations prevent the detection and enhancement of resident well-being, community engagement, and improved operational efficiencies through informed data-driven solutions. Additionally, conventional approaches to property management and social health assessment are typically siloed by property type, with separate systems and methodologies for residential housing, healthcare facilities, educational institutions, government facilities, and other site classifications. This fragmentation prevents cross-sector comparison, limits data standardization, and impedes the development of comprehensive community health strategies that span multiple property types. What is needed is a universal system capable of measuring both personal stability and community stability across any site or property type using standardized social determinants of health metrics, thereby enabling comparable assessment and intervention strategies regardless of whether the location is residential housing, a healthcare facility, an educational institution, a government facility, or any other site where individuals interact with their environment. In particular, there is a need for a system that can quantify the social health of a location within a community by generating social health scores that identify areas for improvement and recommend community services to enhance overall well-being. Conventional techniques often lack this capability and may introduce inefficiencies, encumbrances, ineffectiveness, or other drawbacks, thereby limiting their ability to provide actionable insights into both individual and community health outcomes. BRIEF DESCRIPTION The present embodiments may relate to systems and methods for evaluating and improving social health factors for a location. The social health factors are associated with the location, the residents of the location, and the community corresponding to the location. The system may include a remote system server, a location management platform, an improvement recommender server, and one or more resident devices associated with the location. The location management platform may be installed within the location and may be configured to receive location data from the one or more resident devices via a location network. The location data may reflect an aspect of social health of one or more residents of the location. The system may serve as a universal framework appliable across any location type, including but not limited to residential properties, healthcare facilities, educational institutions, government facilities, correctional facilities, homeless shelters, senior living facilities, and community centers, thereby enabling standardized measurement of both personal stability and community stability regardless of specific property classification. In one aspect, a computer system for evaluating and improving community health scores for a location is provided. The computer system includes: one or more resident devices corresponding to the location; a resident evaluation generated on each of the resident devices, the resident evaluation including one or more evaluation questions to collect resident evaluation data from the one or more resident devices, wherein each of the one or more evaluation questions correspond to one or more social health factors, the resident evaluation data reflecting at least one social determinant of health corresponding to each of the resident devices corresponding to the location; and a remote system server configured to communicate with the one or more resident devices and one or more external data sources corresponding to the location via an external network. The remote system server includes one or more processors programmed to: (i) receiv