US 12,079,773 B2
Method to increase efficiency, coverage, and quality of direct primary care
Giovanni Nino, Issaquah, WA (US); and Jose Torres, Jr., Seattle, WA (US)
Assigned to Boogio, Inc., Kent, WA (US)
Filed by Boogio, Inc., Kent, WA (US)
Filed on Aug. 18, 2020, as Appl. No. 16/996,489.
Application 16/996,489 is a continuation of application No. 14/777,364, abandoned, previously published as PCT/US2014/030752, filed on Mar. 17, 2014.
Claims priority of provisional application 61/800,273, filed on Mar. 15, 2013.
Prior Publication US 2021/0035067 A1, Feb. 4, 2021
Int. Cl. G06Q 10/10 (2023.01); G16H 10/20 (2018.01); G16H 10/60 (2018.01); G16H 20/60 (2018.01); G16H 20/70 (2018.01); G16H 50/30 (2018.01)
CPC G06Q 10/10 (2013.01) [G16H 10/20 (2018.01); G16H 10/60 (2018.01); G16H 20/60 (2018.01); G16H 20/70 (2018.01); G16H 50/30 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A system for improving health of a plurality of subjects, the system comprising:
a plurality of a wearable computing devices; and
at least one decision making unit (DMU) computing system communicatively coupled to the plurality of wearable computing devices via a network;
wherein each wearable computing device of the plurality of wearable computing devices is associated with a subject of the plurality of subjects;
wherein each wearable computing device of the plurality of wearable computing devices comprises a plurality of sensors, and wherein the plurality of sensors includes one or more sensors that generate values that are relevant to a recognized event and one or more sensors that generate values that are not relevant to the recognized event;
wherein each wearable computing device of the plurality of wearable computing devices is configured to:
collect values generated by the plurality of sensors of the wearable computing device; and
transmit the values generated by the plurality of sensors to the DMU computing system; and
wherein the DMU computing system is configured to:
receive the values generated by the plurality of sensors of the plurality of wearable computing devices;
calculate a health parameter for each subject based on the values generated by the plurality of sensors, wherein the health parameter indicates a presence or absence of the recognized event;
in response to determining that the health parameter based on the values generated by the plurality of sensors of a given wearable computing device indicates the presence of the recognized event, cause the given wearable computing device to increase sampling frequencies of the one or more sensors of the given wearable computing device that generate values that are relevant to the recognized event while leaving unchanged sampling frequencies of the one or more sensors of the given wearable computing device that generate values that are not relevant to the recognized event to verify the recognized event while keeping increased power consumption to a minimum;
rank the subjects of the plurality of subjects based on the health parameters; and
perform an automated action based on the ranks of the subjects.