A medical device system. The system includes a first medical device, a first remote interface, and a second remote interface in communication with the first remote interface and the first medical device, wherein the first medical device sends a command to the first medical device through the second remote interface, and wherein when the second remote interface receives the command, the command must be confirmed by the second remote interface before the command is send by the second remote interface to the first medical device.

A medical device system. The system includes a first medical device, a first remote interface, and a second remote interface in communication with the first remote interface and the first medical device, wherein the first medical device sends a command to the first medical device through the second remote interface, and wherein when the second remote interface receives the command, the command must be confirmed by the second remote interface before the command is send by the second remote interface to the first medical device.

Methods and systems for monitoring nutrient levels and recommending dietary intake via a customizable indication-dependent platform are presented. In one embodiment, a method is provided that includes generating, by a computing device having one or more processors and via an application programming interface, an application for assessing a nutritional need and/or nutrient level (e.g., collagen level). The application may prompt the entry of user attributes to assess the nutritional need or nutrient level. The computing device may receive, from a user device associated with a user, the user attributes. Based on the user device and the user attributes, the computing device may store a user profile associated with the user. An assessment of the nutritional need and/or nutrient level may be generated for the user. A recommendation for a dietary intake may be provided to the user via the application.

Methods and systems for monitoring nutrient levels and recommending dietary intake via a customizable indication-dependent platform are presented. In one embodiment, a method is provided that includes generating, by a computing device having one or more processors and via an application programming interface, an application for assessing a nutritional need and/or nutrient level (e.g., collagen level). The application may prompt the entry of user attributes to assess the nutritional need or nutrient level. The computing device may receive, from a user device associated with a user, the user attributes. Based on the user device and the user attributes, the computing device may store a user profile associated with the user. An assessment of the nutritional need and/or nutrient level may be generated for the user. A recommendation for a dietary intake may be provided to the user via the application.

A method and system for detecting and characterizing weak signals of risk exposure of a patient, a weak signal being representative of an incubation of a pathology, from patient data collected over a given time interval. The system includes a module for calculating a predictive risk signature, a module for detecting the presence of at least one weak risk exposure signal by comparing the calculated predictive risk signature to predetermined reference risk signatures, and in case of a positive detection, application of a module for determining a predictive reference signature associated with the calculated predictive risk signature and for characterizing the risk associated with the reference risk signature, including a module for displaying a previously determined and recorded threat scenario in association with the predictive reference signature.

A method and system for detecting and characterizing weak signals of risk exposure of a patient, a weak signal being representative of an incubation of a pathology, from patient data collected over a given time interval. The system includes a module for calculating a predictive risk signature, a module for detecting the presence of at least one weak risk exposure signal by comparing the calculated predictive risk signature to predetermined reference risk signatures, and in case of a positive detection, application of a module for determining a predictive reference signature associated with the calculated predictive risk signature and for characterizing the risk associated with the reference risk signature, including a module for displaying a previously determined and recorded threat scenario in association with the predictive reference signature.

A computer implemented method includes receiving an event log corresponding to event entries of an electronic diary of a participant of a clinical trial, wherein the event log is generated in a client device, and the event log includes an event identifier and an event timestamp for at least two event entries; determining a block of event entries within the event log, the block including a first event entry and a second event entry at least one of whose event timestamps are verified being correct in view of corresponding service timestamps of a server apparatus, wherein the first and the second event entry are arranged chronologically; and adjusting the event timestamp of the second event entry based on the first timestamp.

A computer implemented method includes receiving an event log corresponding to event entries of an electronic diary of a participant of a clinical trial, wherein the event log is generated in a client device, and the event log includes an event identifier and an event timestamp for at least two event entries; determining a block of event entries within the event log, the block including a first event entry and a second event entry at least one of whose event timestamps are verified being correct in view of corresponding service timestamps of a server apparatus, wherein the first and the second event entry are arranged chronologically; and adjusting the event timestamp of the second event entry based on the first timestamp.

The present disclosure provides a system. In an embodiment, a system for medication management is provided and includes a mobile device. The mobile device includes a dose software application (dose-app) configured to notify a user to take a medication from a medication container. The system also includes a motion detection component attached to the medication container. The motion detection component includes a motion detection device configured to detect container motion data and wirelessly transmit the motion data to the mobile device. The mobile device includes a wireless receiver configured to receive the motion data from the motion detection device and send the motion data to the dose-app. The dose-app is configured to determine whether the received motion data constitutes a valid medication dosage.

A medical system of an aspect example includes a portable data storage, first information processing equipment, and telecommunication equipment. Medical information is stored in the portable data storage. The medical information includes authentication information of a subject who has undergone a medical examination and examination data acquired from the subject by the medical examination. The first information processing equipment is connected to a telecommunication network. The telecommunication equipment is configured to transmit at least part of the medical information stored in the portable data storage that has been moved to an available area of the telecommunication network, to the first information processing equipment via the telecommunication network.