US 11,954,163 B2
Event-driven content recommendation engine
Parth Khanna, Toronto (CA); Kumar Karthik Erramilli, Scarborough (CA); and Kapil Kalra, Mississauga (CA)
Assigned to ACTO Technologies Inc., Toronto (CA)
Filed by ACTO Technologies Inc., Toronto (CA)
Filed on Mar. 18, 2022, as Appl. No. 17/698,354.
Application 17/698,354 is a continuation of application No. 16/404,288, filed on May 6, 2019, granted, now 11,301,527.
Prior Publication US 2022/0207102 A1, Jun. 30, 2022
Int. Cl. G06F 16/9535 (2019.01); G06F 16/903 (2019.01); G06F 16/9537 (2019.01); H04L 67/50 (2022.01); H04L 67/55 (2022.01)
CPC G06F 16/9535 (2019.01) [G06F 16/90335 (2019.01); G06F 16/9537 (2019.01); H04L 67/535 (2022.05); H04L 67/55 (2022.05)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
at a device including a non-transitory memory and one or more processors coupled with the non-transitory memory:
detecting an upcoming patient consultation between a patient and a healthcare provider;
prior to the upcoming patient consultation:
obtaining patient history information for the patient;
obtaining engagement data that indicates which of a plurality of content items stored in a content datastore were accessed by other healthcare providers prior to, during or after past patient consultations that are similar to the upcoming patient consultation;
generating respective relevance scores for the plurality of content items based on the patient history information and the engagement data; and
selecting a first content item from the plurality of content items stored in the content datastore in response to the first content item having one of the respective relevance scores that is greater than a remainder of the respective relevance scores; and
presenting the first content item as a recommended content item to the healthcare provider prior to the upcoming patient consultation.