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AIDC is also commonly referred to as "Automatic Identification", "Auto-ID" and "Automatic Data Capture". [2] AIDC is the process or means of obtaining external data, particularly through the analysis of images, sounds, or videos. To capture data, a transducer is employed which converts the actual image or a sound into a digital file. The file ...
An electronic data capture (EDC) system is a computerized system designed for the collection of clinical data in electronic format for use mainly in human clinical trials. [1] EDC replaces the traditional paper-based data collection methodology to streamline data collection and expedite the time to market for drugs and medical devices.
Smart data capture is multimodal, [6] capable of extracting data from a wider range of semi-structured and unstructured sources, going beyond basic text recognition to offer a wider scope of applications. By extending functionality to provide actionable insights at the point of capture, SDC is also a two-way process (capture-display), while OCR ...
Computers are most often touch-screen devices, ranging from wearables, hand-held devices and smartphones, through iPads and other Tablet computers. The smaller devices are often used as electronic diaries, designed to be used for symptom reporting on a daily basis. Larger devices are generally used in a clinical setting.
The data are transmitted to healthcare providers or third parties via wireless telecommunication devices. The data are evaluated for potential problems by a healthcare professional or via a clinical decision support algorithm, and patient, caregivers, and health providers are immediately alerted if a problem is detected. [ 4 ]
Medical device connectivity is the establishment and maintenance of a connection through which data is transferred between a medical device, such as a patient monitor, and an information system. The term is used interchangeably with biomedical device connectivity or biomedical device integration.
Acquisition or collection of clinical trial data can be achieved through various methods that may include, but are not limited to, any of the following: paper or electronic medical records, paper forms completed at a site, interactive voice response systems, local electronic data capture systems, or central web based systems.
The JKL Healthcare System was one of the first successful implementers of EMR using the Epic System, and they became a model site for other healthcare systems. JKL Healthcare received the Davies Award in September 2004, which is the most prestigious award in the IT industry for its implementation of the most comprehensive EMR system in the US. [2]