Embodiments are generally directed to systems and apparatuses for tracking usage of an item. For example, an apparatus may be provided for tracking use of a packetized item. The apparatus may include a microprocessor, a power source, and a structural layer to which the microprocessor and power source are coupled. The structural layer may include a container that is configured to hold various items. The container may also include an opening that allows access to the items. The apparatus may further include a cover layer that is configured to cover the opening of the container. The cover layer may include at least one bendable sensor placed over the opening of the container. The microprocessor may be configured to determine, using detected movements in the bendable sensor, whether the container has been opened.

A system and method are disclosed for the collection and aggregation of data from contributing members of a community, such as health-related, personal, genomic, medical, and other data of interest for individuals and populations. Contributors become members of a community upon creation of an account and providing of data or files. The data is received and processed, such as to analyze, structure, perform quality control, and curate the data. Value or shares in one or more community databases are computed and attributed to each contributing member. The data is controlled to avoid identification or personalization. Steps are taken to determine incompleteness and incorrectness of the data, and the data may be improved or completed automatically, based upon interaction with members, additional contributions of data, and so forth.

Methods and apparatus of a smart electronic health records platform for veterinarians and human providers are disclosed. The platform integrates clinical IT systems with patient tracking whiteboards, billing processes and artificial intelligence software to increase efficiency of the patient treatment process. By aggregating many services into one platform, interaction and communication between clinics and patients will be enhanced and streamlined.

Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine-learning concepts (e.g., machine learning models) to determine predicted taxonomy-based classification scores for claims and dynamically update data fields based on the same.

An automated laboratory system for processing biological samples in a batch type manner is disclosed. In one embodiment, the system may receive assay instructions for biological samples processing among a plurality of devices. The devices may include a pre-analytical instrument and one or more analysis systems. The system may include an orchestration core application for determining an order of performance for the assays ordered for the samples.

An automated laboratory system for processing biological samples in a batch type manner is disclosed. In one embodiment, the system may receive assay instructions for biological samples processing among a plurality of devices. The devices may include a pre-analytical instrument and one or more analysis systems. The system may include an orchestration core application for determining an order of performance for the assays ordered for the samples.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

Systems and methods for intelligently routing a member of an organization to a single point-of-contact within an optimized, secure network to address all the member's healthcare needs are described. The disclosed intelligent routing configurations transform and process, in real-time, vast amounts of member data to generate aggregated diagnoses and a member score specific to each member's household. The scores, among other things, are used to determine an identification of special needs and an appropriate advocate within the organization to route the member, and its account file containing real-time member and household level data.

Disclosed herein is an oral information management system using a smart toothbrush, the oral information management system including: a smart toothbrush configured to include a camera and at least one sensor; and a user terminal configured to acquire information collected from the smart toothbrush; wherein the user terminal determines the oral health state of a user based on the information collected from the smart toothbrush.