| CPC G16H 70/40 (2018.01) [G06F 40/205 (2020.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); H04W 4/14 (2013.01); G16H 70/20 (2018.01)] | 20 Claims |
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1. A computer-implemented method, the method utilizing a system comprising at least one user device comprising a computing device, a server, a natural language processing (NLP) system comprising at least one computing device, the at least one user device, the server and the NLP system are configured for at least one of wired or wireless communication over a data network, the method comprising:
wirelessly receiving, at the server, a plurality of user responses from a user interface of the computing device, wherein the user interface includes a text-chat interface displaying a conversation between multiple parties, wherein switching the user interface between the text-chat interface and a medical scenario information user interface is achieved via at least one of swipe motion and gestures;
wherein the plurality of user responses includes an action response, a problem response, and an observation response;
wirelessly sending the plurality of responses to the NLP system, wherein the NLP system includes a parsing module that parses the plurality of user responses into computer-readable data that is used by one or more components of the system and is configured to:
tokenize text of a portion of the plurality of user responses into at least one token by separating the text into at least one of words, phrases and text divisions;
compare the at least one token to an entity value or activity value; and
responsive to a determination that the at least one token matches the entity value or activity value within a threshold, output a computer-readable parsing;
wirelessly receiving by the server, from the NLP system, the computer-readable parsing, wherein the computer-readable parsing includes a first activity key, and wherein the first activity key includes a first text string indicating at least one of
administering
notifying,
assisting, or
monitoring;
providing an evaluation data object, wherein the evaluation data object includes an action data object;
wherein the action data object includes a second activity key and an action scoring rubric, the action scoring rubric comprising a first value and a second value;
mapping the first activity key to the second activity key by determining whether the first activity key includes the second activity key; and
calculating a first sub-score based on the action scoring rubric and whether the first activity key includes the second activity key, wherein the first sub-score indicates a clinical judgment evaluation of a user, wherein calculating the first-sub score comprises:
responsive to a determination that the first activity key includes the second activity key, including the first value in the first-sub score; and
responsive to a determination that the first activity key does not include the second activity key, including the second value in the first-sub score.
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