# US 2021/0280320 A1 · Community Vulnerability Index Dashboard

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- Number: US 2021/0280320 A1
- Document ID: US20210280320A1
- Status: Published application
- Kind: A1
- Application number: 17/191,648
- Filed: 2021-03-03
- Published: 2021-09-09
- Earliest claimed: 2020-03-03
- Applicants: Parkland Center for Clinical Innovation
- Inventors: Akshay Arora; Venkatraghavan Sundaram; Lindsay Zimmerman; Thomas Roderick; Esther Olsen; Leslie Wainwright; Vikas Chowdhry; Steve Miff; Aida Kreho Somun; Vency Varghese
- Web page: https://patentgrep.com/patent/US20210280320A1

## CPC

- G16H 50/80: for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
- G06N 20/00: Machine learning
- G06Q 30/0201: Market modelling; Market analysis; Collecting market data
- G06Q 30/0205: {based on location or geographical consideration}
- G06Q 50/22: Social work or social welfare, e.g. community support activities or counselling services
- G06Q 50/26: Government or public services (business processes related to the transportation industry G06Q50/40)
- G16H 15/00: ICT specially adapted for medical reports, e.g. generation or transmission thereof
- G16H 40/20: for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
- G16H 50/30: for calculating health indices; for individual health risk assessment
- G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients
- G06F 3/04847: Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
- G06F 40/20: Natural language analysis (semantic analysis of natural language G06F40/30)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

A community vulnerability index dashboard includes a data ingestion logic module configured to automatically receive real-time and non-real-time data from a variety of sources including education agencies, law enforcement, health services agencies, healthcare agencies, medical insurance agencies, housing and transportation agencies, childcare licensing agencies, and non-emergency citywide services. The dashboard includes a data processing module that extracts and process the ingested data, and a data analysis logic module that analyzes the processed data to determine values for indicators and an overall vulnerability index value based on the values of the plurality of indicators to provide insight into the lives of residents living in a community on a block group level. The dashboard includes a data presentation dashboard interface to display an interactive choropleth map of the overall vulnerability index and indicator values on a block group level for the community of interest.

## Claims

### Claim 1

A community vulnerability index dashboard comprising:
a data ingestion logic module configured to automatically receive real-time and non-real-time data from a variety of sources selected from the group consisting of education agencies, law enforcement, health services agencies, healthcare agencies, medical insurance agencies, housing and transportation agencies, childcare licensing agencies, and non-emergency citywide services;
a data processing module configured to extract and process the ingested data;
a data analysis logic module configured to analyze the processed data to determine values for a plurality of indicators and an overall vulnerability index value based on the values of the plurality of indicators to provide insight into the lives of residents living in a community on a block group level; and
a data presentation dashboard interface to display values for the plurality of indicators and the overall vulnerability index and an interactive choropleth map of the overall vulnerability index and indicator values on a block group level for the community of interest.

### Claim 2 (depends on 1)

The dashboard of claim 1, further comprising a database configured to store ingested data and provide access to the data by the data analysis logic module.

### Claim 3 (depends on 1)

The dashboard of claim 1, wherein the data analysis logic module applies natural language processing techniques to process unstructured data.

### Claim 4 (depends on 1)

The dashboard of claim 1, wherein the data analysis logic module is configured to analyze data indicative of food insecurity, paycheck predictability, household structure, health insurance coverage, and median income that are representative of household essentials.

### Claim 5 (depends on 1)

The dashboard of claim 1, wherein the data analysis logic module is configured to analyze data indicative of educational attainment, internet connectivity, literacy, walkability, bikability, and transit availability that are representative of personal empowerment.

### Claim 6 (depends on 1)

The dashboard of claim 1, wherein the data analysis logic module is configured to analyze data indicative of employment, affordable housing, neighborhood safety, neighborhood stability, clean air, and green space that are representative of equitable communities.

### Claim 7 (depends on 1)

The dashboard of claim 1, wherein the data analysis logic module is configured to analyze data indicative of life expectancy, alcohol abuse, disease burden, and mental health that are representative of health.

### Claim 8 (depends on 1)

The dashboard of claim 1, wherein the data analysis logic module comprises at least one predictive model having a plurality of variables and thresholds.

### Claim 9 (depends on 8)

The dashboard of claim 8, wherein the data analysis logic module applies artificial intelligence methods to refine and tune the at least one predictive model.

### Claim 10

A method to provide improved insight into community vulnerability by presenting data on a graphical user interface device comprising:
automatically receiving real-time and non-real-time data from a variety of sources selected from the group consisting of education agencies, law enforcement, health services agencies, healthcare agencies, medical insurance agencies, housing and transportation agencies, childcare licensing agencies, and non-emergency citywide services;
extracting and processing the ingested data;
analyzing the processed data and determining values for a plurality of indicators and an overall vulnerability index value based on the values of the plurality of indicators to provide insight into the lives of residents in a community on a block group level; and
displaying values of the plurality of indicators and the overall vulnerability index value; and
displaying an interactive choropleth map of the overall vulnerability index and indicator values on a block group level for a community of interest.

### Claim 11 (depends on 10)

The method of claim 10, further comprising storing the ingested data and providing secured access to the data.

### Claim 12 (depends on 10)

The method of claim 10, further comprising applying natural language processing techniques to process ingested data that are unstructured.

### Claim 13 (depends on 10)

The method of claim 10, further comprising analyzing data indicative of food insecurity, paycheck predictability, household structure, health insurance coverage, and median income that are representative of household essentials.

### Claim 14 (depends on 1)

The method of claim 1, further comprising analyzing data indicative of educational attainment, internet connectivity, literacy, walkability, bikability, and transit availability that are representative of personal empowerment.

### Claim 15 (depends on 1)

The method of claim 1, further comprising analyzing data indicative of employment, affordable housing, neighborhood safety, neighborhood stability, clean air, and green space that are representative of equitable communities.

### Claim 16 (depends on 1)

The method of claim 1, further comprising analyzing data indicative of life expectancy, alcohol abuse, disease burden, and mental health that are representative of health.

### Claim 17 (depends on 1)

The method of claim 1, further comprising applying at least one predictive model having a plurality of variables and thresholds to the data.

### Claim 18 (depends on 17)

The method of claim 17, further comprising employing artificial intelligence techniques to refine and tune the at least one predictive model.

### Claim 19 (depends on 10)

The method of claim 10, further comprising enabling the user to selective choose a geographical region of interest for which the overall vulnerability index, the plurality of indicators, and interactive choropleth map are presented.

### Claim 20

A community vulnerability index dashboard comprising:
a data ingestion logic module configured to automatically receive real-time and non-real-time data from a variety of sources selected from the group consisting of education agencies, law enforcement, health services agencies, healthcare agencies, medical insurance agencies, housing and transportation agencies, childcare licensing agencies, and non-emergency citywide services;
a data processing module configured to extract and process the ingested data;
a data analysis logic module configured to analyze the processed data to determine values for a plurality of indicators and an overall community vulnerability index value based on the values of the plurality of indicators selected from the group consisting of food insecurity, paycheck predictability, household structure, health insurance coverage, median income, educational attainment, internet connectivity, literacy, walkability, bikability, transit availability, employment, affordable housing, neighborhood safety, neighborhood stability, clean air, green space, life expectancy, alcohol abuse, disease burden, and mental health to provide insight into the lives of residents living in a community on a selectable granularity level;
a database configured to store ingested data and provide access to the data by the data analysis logic module; and
a data presentation dashboard interface to display values for the plurality of indicators and the overall vulnerability index value and an interactive choropleth map of the overall vulnerability index and indicator values on the selectable granularity level for a community of interest.
