10 results about "Electronic data capture" patented technology

Systems and methods provide efficient access to electronic data capture (EDC) and electronic medical record (EMR) data for monitoring clinical research. A multi-tenant clinical research platform is configured to support remote management of clinical research sites based on EDC and EMR data. The platform is configured to access EDC data from an EDC data store, access related EMR data from an EMR data store that is separate from the EDC data store, and use mappings between the EDC data and the EMR data to contextually integrate the EMR data into a clinical research review workflow provided by the platform. In some embodiments, the platform is configured to prevent persistence of the EDC data and / or EMR data within the platform. The platform provides remote, on-demand controlled access to the EDC data and the EMR data to facilitate offsite reviews of clinical research sites based on EDC and EMR data.

The present invention provides a method and system for automatically and seamlessly processing clinical trial source data into electronic data capture (EDC) systems. In one embodiment, a file structure is defined for an electronic binder system (eBinder); source data is uploaded to the eBinder; the source data is encrypted, Patient Identifiable Information in the source data is masked; the source data is converted into machine readable plain text in the JavaScript Object Notation (JSON) format using Natural Language Processing (NPL) technologies; the JSON data is converted into tabulated machine readable data in the HyperText Markup Language (HTML) format using NPL technologies; the HTML data is converted into machine understandable data using NPL technologies; the machine understandable data is populated into EDC datasets using NPL technologies; the source data and converted data are displayed side-by-side for source data verification; and a platform is provided for regulatory data verification or auditing.

To provide a method of converting an Electronic Data Capture (EDC) dataset to a Standard Data Tabulation Model (SDTM) dataset.SOLUTION: A method includes a step of processing metadata for an EDC dataset, the metadata comprising EDC field names, to produce vectors of a particular dimensionality. The vectors are processed in an embedding model to produce embedded vectors of a lesser dimensionality. The embedded vectors are processed, in a prediction model, to produce class predictions for the EDC field names, the classes corresponding to SDTM field names. The EDC field names are associated with the SDTM field names based on the class predictions for the EDC field names. The embedding model is obtained from a trained Siamese neural network.SELECTED DRAWING: Figure 1

This invention discloses an intelligent self-service recharge system and its security optimization method, belonging to the field of communication technology. It includes a main application server, an event bus cluster, a NAS storage device, an API gateway, a payment gateway server, an anomaly detection server, a LAN switch, a self-service terminal, a card reader, a firewall gateway, and an external payment system interface. It solves the technical problems of providing modular services, improving system flexibility and scalability, enhancing data security, and optimizing event handling mechanisms. It is easy to expand and maintain, improves data interaction efficiency, has efficient event handling, enhanced data security, an intelligent recommendation engine, and an innovative user experience. It seamlessly integrates identity verification, payment, photo upload, and feedback processes, significantly improving system usability. It also introduces a social recommendation mechanism to enhance employee interaction and consumption experience.

The present invention provides a method and system for automatically and seamlessly processing clinical trial source data into electronic data capture (EDC) systems. In one embodiment, a file structure is defined for an electronic binder system (eBinder); source data is uploaded to the eBinder; the source data is encrypted, Patient Identifiable Information in the source data is masked; the source data is converted into machine readable plain text in the JavaScript Object Notation (JSON) format using Natural Language Processing (NPL) technologies; the JSON data is converted into tabulated machine readable data in the HyperText Markup Language (HTML) format using NPL technologies; the HTML data is converted into machine understandable data using NPL technologies; the machine understandable data is populated into EDC datasets using NPL technologies; the source data and converted data are displayed side-by-side for source data verification; and a platform is provided for regulatory data verification or auditing.

To provide a system construction method, a system construction system, and a computer-readable medium for constructing an EDC system (electronic data capture system).SOLUTION: Provided is a method of building a system, the method comprising: a training dataset forming step for forming a training dataset from a set of protocol documents and corresponding EDC builds; an EDC build model producing step for using the set of protocol documents and corresponding EDC builds of the training dataset to fine tune a pre-trained language model to produce an EDC build model; an EDC build prediction production step for inputting a protocol document to the EDC build model to produce an EDC build prediction; and a data structure generation step for generating data structures of the EDC system based at least in part on the EDC build prediction.SELECTED DRAWING: Figure 15

The utility model relates to the technical field of office equipment, in particular to a multifunctional auxiliary workbench which comprises a base, the inner wall of the base is fixedly connected with the outer wall of a containing part through a bolt, the multifunctional auxiliary workbench is placed at a proper position beside a bank counter, and power lines of an identity card identification instrument and a binding machine placed on the surface of a platen pass through a square threading opening. The power line of the printer and the power line of the computer host placed in the containing cavity are connected with the 86-type socket set through the circular threading groove to take electricity, and the electronic equipment is placed on the bank counter table top. Power lines of equipment such as a computer monitor, a window interphone, a password keyboard, a card swiping machine and the like are connected with the 86-type socket in an integrated mode through the circular threading hole to take electricity, the AC power interface is closed after work, lines are hidden without being wound and bundled, the equipment or the lines are more convenient and rapid to replace, meanwhile, the lines are more thoroughly arranged and hidden, and the working efficiency is improved. The connection lines between the devices can be connected by selecting the shortest connection path.

A method implemented by a computer system for detecting personally identifiable information (PII) in clinical trial data before the clinical trial data is committed to a hardware storage device to improve data security, comprising: causing rendering of a graphical user interface for input of clinical trial data and one or more controls; receiving, through the graphical user interface, input clinical trial data; prior to committing the clinical trial data to a hardware storage device, associating, in memory, the clinical trial data associated with a pending state; upon determining that the clinical trial data does not include PII, accessing, from memory, the clinical trial data input into at least one of the one or more input portions; releasing the clinical trial data from the pending state; and committing the clinical trial data released to the hardware storage device.

Methods and systems for extracting patient information for use in clinical trials from electronic medical records (EMR) are described. The method comprises: receiving an indication that a new clinical trial subject has been identified from a subject identification source; retrieving patient information from an EMR associated with the new clinical trial subject; processing the retrieved patient information to de-identify the retrieved patient information, thereby producing de-identified patient information; and providing a portion of the de-identified patient information as input to an electronic data collection (EDC) system for the clinical trial.

The present disclosure is related to a printing driver unit, which discloses method and printer driver unit for performing a transaction by automatically transmitting data to an Electronic Data Capture (EDC) terminal. Method includes receiving, by printer driver unit associated with host computing device, first print request including first data related to purchase, from host computing device. Further, the printer driver unit extracts final transaction amount from first data and determines status of EDC terminal upon extracting final transaction amount. When EDC terminal is determined to be in first state, the printer driver unit generates a second print request including extracted final transaction amount and transmits the generated second print request to EDC terminal to facilitate automatic insertion of final transaction amount in EDC terminal to initiate payment transaction. Embodiments herein helps in auto-populating final transaction amount in EDC terminal, without the help of vendor specific billing system.