Radiologists were among the first clinicians in health care to recognize the promise of speech recognition (SR) technology. “Now, the models that are available can handle [significantly] more data to improve accuracy in all kinds of environments with different levels of background noise, for example. Health care organizations should ask questions such as: Does it require custom hardware that’s different from what you’re already using? In addition, he believes that better incorporation of coding in SR solutions will continue to improve accuracy and context. — Selena Chavis is a Florida-based freelance journalist whose writing appears regularly in various publications, covering everything from corporate and managerial topics to health care.