A system and method that facilitates the automated replication of electronic medical record information between a patient and a health-care provider (HCP), such as a doctor, pharmacy, drug manufacturer, biologic manufacturer, or medical device manufacturer. The system uses: a cloud-based infrastructure that includes databases, mathematical models, and configuration information; a patient's electronic health record system providing personal data around a patient's individual personal electronic medical record (PEMR); and a server used to coordinate and authenticate the replication of data between the cloud-based infrastructure, the PEMR, and the EMR/EHR system of the HCP. The system provides support and security, such as by geographically distributed data fragmentation, for mobile platforms and web-based platforms and sophisticated mechanisms for the transmission of data between these systems.

Food supply may be tracked, authenticated, and evaluated by a variety of systems, processes, and techniques. In certain implementations, computer systems at various animal producers in the food supply chain (e.g., ranch and feedlot) may record and generate data regarding an animal (e.g., breed, age, location, hydration regimen, health history, etc.) and report this to a server system, which may process the data in an authenticated manner. Entities further down the chain (e.g., retailers) may access the server system to retrieve information about meat products and use this in sales efforts. Consumers may also retrieve information about meat products so that they may make informed buying decisions. Additionally, feedback may be provided to animal producers regarding the meat, which may encourage them to continue producing quality animals. Data may also be monetized, and a portion reinvested back to the food producer to assist in labor costs associated with system compliance.

Method and apparatus for managing data in a data storage device configured as a storage compute appliance. In some embodiments, the data storage device has a non-volatile memory (NVM) and a controller circuit. The NVM stores a plurality of data sets encrypted by at least one encryption key. The controller circuit performs a storage compute appliance process by locally decrypting the plurality of data sets in a local memory of the data storage device, generating summary results data from the decrypted data sets, and transferring the summary results data across the host interface to an authorized user without a corresponding transfer of any portion of the decrypted data sets across the host interface.

A system and methods for anonymizing data for distribution on a distributed ledger arrangement is provided. The design includes receiving initial data at a computing device, the initial data relating to an initiating party, removing, at the computing device, personal identifying information from the initial data, thereby creating personal identifying information scrubbed data, anonymizing the personal identifying information scrubbed data on the computing device using DNA processing, thereby creating DNA processed scrubbed data, and providing the DNA processed scrubbed data from the computing device to the distributed ledger arrangement.

Systems and methods are provided for tracking the provenance of donated genetic material using blockchain-based technologies. Immutable records of transactions associated with the donated genetic material are generated. These records can be utilized to create an audit trail for the genetic material.

A medical imaging communication system generates an automated report for a medical image corresponding to a patient. The system receives one or more medical images for a patient. The system applies a model to identify an abnormality in the received one or more medical images. The model is configured to determine a likelihood score for the presence of the abnormality in the one or more medical images. If the likelihood score is above a threshold value, the system generates an automated report indicating the type of abnormality identified in the received one or more medical images. The automated report is then provided to a viewing user (e.g., a medical professional viewing the one or more medical images).

Embodiments facilitate interoperability and secure patient selection for clinical trials and drug/device deployments. An entity may obtain a first set of health parameters and collective demographic information associated with one or more population segments and receive Electronic Health Record (EHR) sub-blocks with patient profile information and corresponding patient medical histories for patients. The entity may determine a subset of eligible candidate patients for a treatment based on information in the EHR sub-blocks and eligibility criteria for the treatment, which may be based the first set of health parameters, and/or the collective demographic information. The entity may transmit sub-blocks comprising eligible candidate patient profiles and medical information associated with the at least one treatment, and, in response to a received transaction block with a transaction confirmation, the entity may augment a multi-dimensional blockchain by linking: the transaction block, with a drug device information block and an EHR block.

A medical imaging communication system processes medical images for being transmitted to a client device. The system receives a set of images, each image corresponding to a slice of a three-dimensional object. The system combines a first subset of the images into a first combined image and combines a second subset of the images into a second combined image. The first and second combined image are compressed using a lossless compression algorithm and transmitted to the client device.

The disclosure relates to a process for performing transactions among a number of participants, in which every participant has a unique pseudonym assigned to him and the assignment of pseudonym to a participant and the participant's transaction data are stored on a notary server.

Techniques are provided for using tokenization in conjunction with “behind-the-wall” JWT authentication. “Behind-the-wall” JWT authentication refers to JWT authentication techniques in which the JWT stays exclusively within the private network that is controlled by the web application provider. Because the JWT stays within the private network, the security risk posed by posting the JWT in a client cookie is avoided. However, because JWT is used behind-the-wall to authenticate a user with the services requested by the user, the authentication-related overhead is significantly reduced.