US 12,138,081 B2
Asthma management system and method
Solomon Ssenyange, Fremont, CA (US); Ryan Leard, Oakland, CA (US); David Anvar, Sunnyvale, CA (US); Brian Awabdy, Dublin, CA (US); Todd Smith, Sunnyvale, CA (US); and Vivek Balasubramanyam, Pleasanton, CA (US)
Assigned to CAIRE Diagnostics Inc., Pleasanton, CA (US)
Filed by CAIRE Diagnostics Inc., Pleasanton, CA (US)
Filed on Jun. 16, 2020, as Appl. No. 16/902,787.
Claims priority of provisional application 62/862,471, filed on Jun. 17, 2019.
Prior Publication US 2020/0390400 A1, Dec. 17, 2020
Int. Cl. A61B 5/0205 (2006.01); A61B 5/00 (2006.01); A61B 5/08 (2006.01); G16H 20/10 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01)
CPC A61B 5/7275 (2013.01) [A61B 5/08 (2013.01); A61B 5/7475 (2013.01); G16H 20/10 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01)] 6 Claims
OG exemplary drawing
 
1. An asthma management system, comprising:
a. a location-aware personal communication device that includes a FeNO monitor for measuring the levels of nitric oxide in exhaled breath in communication with said location-aware personal communication device;
b. one or more environmental factor collection points for measuring one or more potential asthma triggers;
c. at least one computer system in electrical communication with said location-aware personal communication device and said environmental factor collection point, said location-aware personal communication device adapted to send and receive asthma-related data including asthma profile and real-time asthma status data including measurements of said level of nitric oxide in exhaled breath to said computer system, and said environmental factor collection point adapted to send and receive data as to said potential asthma triggers to said computer system; said computer system further comprising one or more processors connected to memory, said one or more processors programmed with executable instructions for implementing one or more algorithms for (1) collecting and storing in said memory data received from said location-aware personal communication device and from said environmental factor collection point, (2) aggregating said data received from said location-aware personal communication device and environmental factor collection point, (3) implementing one or more algorithms to generate an asthma symptom onset prediction based on said aggregated data including the level of nitric oxide in said exhaled breath and at least one of said potential asthma triggers collected from said environmental factor collection point, and (4) communicating said asthma symptom prediction to said location-aware personal communication device; and
d. one or more processors further programed with executable instructions to revise said one or more asthma symptom onset prediction algorithms where said generated asthma onset prediction and said real-time asthma status data including the level of nitric oxide in said exhaled breath correlated to the presence of said one or more potential asthma triggers indicate a prediction error when said generated asthma onset prediction and said real-time asthma status data are discordant.