Patent ID: 11935634
Assignee: GOOGLE LLC
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 7:
8. A method of assisting a health care provider in providing care for a patient, comprising the steps of:
a) using a predictive model trained on aggregated electronic health records converted into a single standardized data structure format and presented to the predictive model in a time sequence ordered arrangement per patient to generate, based on an input electronic health record of the patient having the standardized data structure format, (1) a prediction of a future clinical event for the patient and (2) identify pertinent past medical events from an input electronic health record for the patient which are related to the prediction, wherein the aggregated health records include a combination of at least free text medical notes, laboratory values, and medications, wherein the input electronic health record of the patient comprises a plurality of individual health record elements, and wherein using a particular model of the predictive models trained on the aggregated electronic heath records comprises (i) determining an embedding vector for each bag of a plurality of bags of the individual elements of the input electronic health record, wherein determining an embedding vector for a particular bag of the plurality of bags comprises determining a first average embedding vector that averages embedding vectors representing free text medical notes of individual elements of the input electronic health record that are in the particular bag, determining a second average embedding vector that averages embedding vectors representing laboratory values of individual elements of the input electronic health record that are in the particular bag, determining a third average embedding vector that averages embedding vectors representing medications of individual elements of the input electronic health record that are in the particular bag, and concatenating the first, second, and third average vectors to generate the embedding vector for the particular bag, and (ii) applying each of the embedding vectors individually and sequentially to the particular model in chronological order;
b) generate data related to both the prediction and the identified pertinent past medical events;
c) transmit the generated data to an electronic device used by the health care provider for display on the electronic device;
wherein:
the predictive model uses an attention mechanism to indicate how much attention the predictive model gave to elements in the input electronic health record to predict the future clinical event and identify pertinent past medical events and wherein the generated data includes the results of the attention mechanism; and
d) displaying both (1) the one or more future clinical events and (2) the identified pertinent past medical events on the electronic device including free text medical notes or excerpts thereof, whereby the display of the past medical events of facilitates the health care provider focusing on elements in the electronic health record which are relevant to the predicted one or more future clinical events.