Abstract: Systems, methods, and computer programs for predicting patient post-operation improvement are disclosed. In one aspect, a method includes generating input data that comprises first data indicative of a perception of a patient and second data indicative of a morphological variable of the patient, providing the input data to a machine learning model that has been trained to generate output data indicative of a patient's post-operation improvement based on processing of data describing a perception of a patient and second a morphological variable of the patient, processing the provided input data through the machine learning model to generate output data indicative of patient's post-operation improvements, determining, based on the generated output data, a level of post-operation improvement for the patient, and generating, recommendation data for the patient indicating whether the patient is to undergo an operation, based on the determined level of post-operation improvement.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: A method includes actions of accessing a database storing multiple forms of a particular type that are each associated with a score. The actions include obtaining data corresponding to one or more forms from the database storing forms that includes at least (i) one or more questions, (ii) one or more answers to the one or more questions, and (iii) a score, training a machine learning model hosted by a server, wherein training the machine learning model includes: processing the data corresponding to the one or more forms from the database storing forms into a plurality of clusters, and for each cluster, identifying a subset of questions, from the predetermined number of questions, that are uniquely associated with each cluster, and generating a dynamic question identification model based on the identified subset of questions for each cluster.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for retrieving by one or more computers an appointment schedule associated with a physician, the appointment schedule including one or more names of patients scheduled for a medical visit with the physician, receiving a first request to view appointment information for a selected patient, retrieving by one or more computers a first list comprising instruments completed 160 by the selected patient, and receiving a second request to send one or more instruments completed by the selected patient to the physician.

Abstract: In general, a computer-implemented method is described for receiving by one or more computers one or more responses to questions included in a medical study instrument generated through an instrument generation system, removing from the one or more responses patient information including at least one of name information and address information, generating a unique identifier, the unique identifier associated with a patient's physician, associating the unique identifier with the one or more responses from which the patient information has been removed, and storing the one or more responses from which the patient information has been removed and the associated unique identifier in a data repository.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for retrieving by one or more computers an appointment schedule associated with a physician, the appointment schedule including one or more names of patients scheduled for a medical visit with the physician, receiving a first request to view appointment information for a selected patient, retrieving by one or more computers a first list comprising instruments completed by the selected patient, and receiving a second request to send one or more instruments completed by the selected patient to the physician.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study.

Abstract: In general, a computer-implemented method is described for receiving by one or more computers one or more responses to questions included in a medical study instrument generated through an instrument generation system, removing from the one or more responses patient information including at least one of name information and address information, generating a unique identifier, the unique identifier associated with a patient's physician, associating the unique identifier with the one or more responses from which the patient information has been removed, and storing the one or more responses from which the patient information has been removed and the associated unique identifier in a data repository.