US 12,087,449 B2
Personal pandemic proximity index system and method
Steve Miff, Dallas, TX (US); Akshay Arora, Irving, TX (US); Mansi Kukreja, Dallas, TX (US); Albert Karam, Garland, TX (US); Manjula Julka, Plano, TX (US); and George Oliver, Southlake, TX (US)
Filed by Parkland Center for Clinical Innovation, Dallas, TX (US)
Filed on May 21, 2021, as Appl. No. 17/327,259.
Claims priority of provisional application 63/028,534, filed on May 21, 2020.
Prior Publication US 2021/0366621 A1, Nov. 25, 2021
Int. Cl. G16H 50/80 (2018.01); G06F 40/20 (2020.01); G06N 20/00 (2019.01); G16H 50/30 (2018.01)
CPC G16H 50/80 (2018.01) [G06F 40/20 (2020.01); G06N 20/00 (2019.01); G16H 50/30 (2018.01)] 15 Claims
OG exemplary drawing
 
1. A personal pandemic proximity index system comprising:
a data ingestion pipeline receives location data associated with disease-positive cases;
a data processing module cleans and processes the received data;
a personal pandemic proximity module determines a numerical personal pandemic proximity index value associated with an individual having an interaction at an address relative to the location data;
a graphical user interface presents, to a patient care team, the numerical personal pandemic proximity index value; and
the graphical user interface further presents, to a pandemic management team, a map displaying locations of disease-positive cases and showing the geospatial relationship of individual's address to the disease-positive cases;
wherein the data ingestion pipeline further receives mobility data associated with disease-positive cases, and the personal pandemic proximity module further determines the numerical personal pandemic proximity index value based at least in part on the mobility data;
wherein the data processing module processes the received data using at least one of artificial intelligence and machine learning techniques.