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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.
The term medical technology may also refer to the duties performed by clinical laboratory professionals or medical technologists in various settings within the public and private sectors. The work of these professionals encompasses clinical applications of chemistry , genetics , hematology , immunohematology ( blood banking ), immunology ...
Many systems have costs in the millions of dollars, making them a large investment for even big hospitals. Some people believe that improvements in technology, such as haptic feedback, increased processor speeds, and more complex and capable software will increase the cost of these systems. [18] Another disadvantage is the size of the systems.
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Health information technology (HIT) is "the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, health data, and knowledge for communication and decision making". [8]
The Health Information Technology for Economic and Clinical Health Act portion of this stimulus law provides payments for providers that show they have reached the standard for “meaningful use”. [3] This has led more hospitals to adopt EMR, though they have had different experiences in adopting electronic medical records.
Artificial intelligence-enhanced technology is being used as an aid in the screening of eye disease and prevention of blindness. [90] In 2018, the U.S. Food and Drug Administration authorized the marketing of the first medical device to diagnose a specific type of eye disease, diabetic retinopathy using an artificial intelligence algorithm. [91]
Computer-assisted interventions (CAI) is a field of research and practice, where medical interventions are supported by computer-based tools and methodologies. Examples include: Medical robotics; Surgical and interventional navigation; Imaging and image processing methods for CAI; Clinical feasibility studies of computer-enhanced interventions