US 11,766,194 B2
System and method for decision support
Alexandra Elena Constantin, San Diego, CA (US); Scott M. Belliveau, San Diego, CA (US); Naresh C. Bhavaraju, San Diego, CA (US); Jennifer Blackwell, San Diego, CA (US); Eric Cohen, San Diego, CA (US); Basab Dattaray, San Diego, CA (US); Anna Leigh Davis, San Diego, CA (US); Rian Draeger, San Diego, CA (US); Arturo Garcia, San Diego, CA (US); John Michael Gray, San Diego, CA (US); Hari Hampapuram, San Diego, CA (US); Nathaniel David Heintzman, San Diego, CA (US); Lauren Hruby Jepson, San Diego, CA (US); Matthew Lawrence Johnson, San Diego, CA (US); Apurv Ullas Kamath, San Diego, CA (US); Katherine Yerre Koehler, San Diego, CA (US); Phil Mayou, San Diego, CA (US); Patrick Wile McBride, San Diego, CA (US); Michael Robert Mensinger, San Diego, CA (US); Sumitaka Mikami, San Diego, CA (US); Andrew Attila Pal, San Diego, CA (US); Nicholas Polytaridis, San Diego, CA (US); Philip Thomas Pupa, San Diego, CA (US); Eli Reihman, San Diego, CA (US); Peter C. Simpson, San Diego, CA (US); Tomas C. Walker, San Diego, CA (US); Daniel Justin Wiedeback, San Diego, CA (US); Subrai Girish Pai, San Diego, CA (US); and Matthew T. Vogel, San Diego, CA (US)
Assigned to Dexcom, Inc., San Diego, CA (US)
Filed by DexCom, Inc., San Diego, CA (US)
Filed on Feb. 6, 2019, as Appl. No. 16/269,480.
Claims priority of provisional application 62/628,895, filed on Feb. 9, 2018.
Prior Publication US 2019/0246973 A1, Aug. 15, 2019
Int. Cl. A61B 5/145 (2006.01); G16H 70/20 (2018.01); A61B 5/00 (2006.01); G06N 20/00 (2019.01); G06N 5/045 (2023.01); A61B 5/11 (2006.01); A61B 5/01 (2006.01); A61B 5/0205 (2006.01); G16H 50/20 (2018.01); A61B 5/024 (2006.01); A61B 5/08 (2006.01)
CPC A61B 5/14532 (2013.01) [A61B 5/0022 (2013.01); A61B 5/01 (2013.01); A61B 5/02055 (2013.01); A61B 5/1118 (2013.01); A61B 5/486 (2013.01); A61B 5/4839 (2013.01); A61B 5/4866 (2013.01); A61B 5/7221 (2013.01); A61B 5/7275 (2013.01); A61B 5/7282 (2013.01); A61B 5/746 (2013.01); A61B 5/7475 (2013.01); G06N 5/045 (2013.01); G06N 20/00 (2019.01); G16H 70/20 (2018.01); A61B 5/024 (2013.01); A61B 5/0816 (2013.01); G16H 50/20 (2018.01)] 22 Claims
OG exemplary drawing
 
1. A system comprising:
a glucose concentration sensor configured to detect a glucose concentration level of a host;
a communication circuit configured to receive the glucose concentration level from the glucose concentration sensor; and
a processor configured to:
receive a real-time datum indicative of the glucose concentration level;
determine a temporal pattern of behavior of the host, an engagement state of the host with decision support guidance, a risk tolerance of the host, and an unavailability of the host to receive a guidance message, wherein:
the temporal pattern of behavior corresponds to a learned pattern of behavior of the host correlated to time;
the engagement state is determined based on a consistency and response time of the host responding to prior guidance messages as correlated to time;
the risk tolerance corresponds to at least one of:
a comfort of the host based on experience of the host with intervention; or
an availability of caregivers for intervention; and
the unavailability of the host is due to one or more of: a location of the host, a calendar event scheduled for the host, and the host being in a car;
predict, based on the temporal pattern and the engagement state, a time period during which the host will be unavailable to receive the guidance message;
predict, based on the real-time datum, that the glucose concentration level of the host will not be within a first range during the time period during which the host will be unavailable;
determine, based on the real-time datum, a risk level associated with the glucose concentration level of the host not being within the first range during the time period;
determine a content of the guidance message based at least in part on the real-time datum, the temporal pattern, and the engagement state, wherein the content of the guidance message is related to an action to be performed prior to the time period; and
provide the guidance message to the host prior to the time period, wherein providing the guidance message to the host is based on a function of the risk tolerance of the host, the risk level associated with the glucose concentration level of the host not being within the first range during the time period, and the unavailability of the host.