
Voice recognition is an exciting technology that is only starting to catch on in radiology. By reducing training time from days to several minutes, today's voice recognition systems are more practical than their predecessors. Voice recognition systems will improve the productivity of radiologists, allowing them to spend less time dictating their findings and more time concentrating on their specialty. Ultimately, the major benefit is increased patient care. As more and more hospitals become automated, voice recognition systems are a natural fit in this process. Radiology departments will be able to have integrated systems that will allow everything from initial patient entry, procedure status and tracking, and report dictation with voice recognition, to electronic report signature, report archiving, and patient billing.
Electronic Data Processing, User-Computer Interface, Radiology Information Systems, Radiology Department, Hospital, Voice, Efficiency, Work Simplification, United States
Electronic Data Processing, User-Computer Interface, Radiology Information Systems, Radiology Department, Hospital, Voice, Efficiency, Work Simplification, United States
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
