Abstract: Certain aspects of the present disclosure provide techniques for predicting electronic health record data using ML. This includes determining a plurality of attributes of a textual description of a patient medical examination, including: detecting the plurality of attributes based on analyzing the textual description using a first ML model trained to parse patient textual descriptions. This further includes predicting a change to an electronic health record for the patient, including: providing to a second ML model the plurality of attributes of the textual description and patient medical data for the patient, where the second ML model is trained to predict changes to patient electronic health records based on attributes of textual data relating to the patient and patient medical data. The predicted change is provided to an electronic system to change the electronic health record and affect medical treatment for the patient.

Abstract: Embodiments herein describe middleware that serves as an intermediary between two computing systems performing asynchronous communication. Rather than communicating directly with each other, the two computing system communicate with the middleware; however, the middleware can be introduced seamlessly so that the two system believe they are communicating with each other rather than the middleware—i.e., the middleware is invisible to the systems. Asynchronous communication with guaranteed delivery may require the two computing systems to perform a handshake operation where the computing system transmitting the object does not consider the task complete until receiving a confirmation from the receiving computing system that the object was processed successfully.

Abstract: Methods and devices include determining that a prompt is to be displayed on a display of a user device to present information to a user of the user device, to receive an input from the user of the user device, or a combination. The methods and devices further include determining a classification of the prompt based, at least in part, on the information to be presented, the input to be received, context associated with current use of the user device by the user, or a combination thereof. The methods and devices further include causing, at least in part, a presentation of a graphical user interface element on the display of the user device based, at least in part, on the classification of the prompt.