An image analysis method for multicenter study includes, by a multicenter study support system, recruiting and selecting a plurality of agency systems to perform multicenter study, and then distributing an analysis guide and an analysis program corresponding to a purpose and condition of the multicenter study to each of the agency systems, by each of the agency systems, collecting analysis data acquired through the analysis guide and the analysis program and then uploading the analysis data to the multicenter study support system, and by the multicenter study support system, collecting and processing the uploaded analysis data, and then sharing the data processing result with each of the agency systems.

An image analysis method for multicenter study includes, by a multicenter study support system, recruiting and selecting a plurality of agency systems to perform multicenter study, and then distributing an analysis guide and an analysis program corresponding to a purpose and condition of the multicenter study to each of the agency systems, by each of the agency systems, collecting analysis data acquired through the analysis guide and the analysis program and then uploading the analysis data to the multicenter study support system, and by the multicenter study support system, collecting and processing the uploaded analysis data, and then sharing the data processing result with each of the agency systems.

In one embodiment, a method is disclosed for presenting a user interface including clustered event episode bundles pertaining to a medical condition. The method includes receiving, from a server, the clustered event episode bundles comprising event information clustered into an episode based on when events occurred and a taxonomy of ontological medical knowledge, presenting, via the user interface, a timeline that represents a period of time, and presenting, via the user interface, the clustered event episode bundles pertaining to each patient of a plurality of patients in a respective band relative to the timeline.

In one embodiment, a method is disclosed for presenting a user interface including clustered event episode bundles pertaining to a medical condition. The method includes receiving, from a server, the clustered event episode bundles comprising event information clustered into an episode based on when events occurred and a taxonomy of ontological medical knowledge, presenting, via the user interface, a timeline that represents a period of time, and presenting, via the user interface, the clustered event episode bundles pertaining to each patient of a plurality of patients in a respective band relative to the timeline.

A computer-implemented includes integrating a practice management system with a medical registry system that includes a medical registry for storing medical information; receiving, through an automated feed with the practice management system, information indicative of patients of a medical facility associated with the practice management system; updating the medical registry with the information indicative of the patients; assigning a plurality of medical forms to the patients; transmitting the assigned medical forms to client devices of the patients; receiving, through the automated feed with the practice management system, answers to questions included in the medical forms; updating database records in the medical registry with the answers to the medical forms; and tracking, based on the updated database records, compliance metrics for completion of the medical forms.

Systems and methods to implement commands based on selection sequences to a user interface are disclosed. Exemplary implementations may: store, electronic storage, a library of terms utterable by users that facilitate implementation of intended results; obtain audio information representing sounds captured by a client computing platform; detect the spoken terms uttered by the user present within the audio information; determine whether the spoken terms detected are included in the library of terms; responsive to determination that the spoken terms are not included in the library of terms, effectuate presentation of an error message via the user interface; record a selection sequence that the user performs subsequent to the presentation of the error message that causes a result; correlate the selection sequence with the spoken terms based on the selection sequence recorded subsequent to error message to generate correlation; and store the correlation to the electronic storage.

Embodiments of the present technology pertain to methods and systems for a voice based, intelligent, augmented reality (AR) based on-demand medical assistant receiving health data of a user using medical testing equipment.

Embodiments of the present technology pertain to methods and systems for a voice based, intelligent, augmented reality (AR) based on-demand medical assistant receiving health data of a user using medical testing equipment.

A system configured to receive health data pertaining to a user; select a user health profile from a plurality of user health profiles based on the collected health data, each of the plurality of user health profiles being associated with a health and wellness program and a set of interventions; receive user activity data and updated health data pertaining to, or during the user's participation in the associated health and wellness program from health devices; select a new set of interventions based on the user activity data; and select a new user health profile from the plurality of user health profiles based on at least one of the user activity data and the updated health data.

A system configured to receive health data pertaining to a user; select a user health profile from a plurality of user health profiles based on the collected health data, each of the plurality of user health profiles being associated with a health and wellness program and a set of interventions; receive user activity data and updated health data pertaining to, or during the user's participation in the associated health and wellness program from health devices; select a new set of interventions based on the user activity data; and select a new user health profile from the plurality of user health profiles based on at least one of the user activity data and the updated health data.