Speech recognition macro tackles critical results

Wednesday, December 2 | 12:45 p.m.-1:15 p.m. | QS129-ED-WEB3 | Lakeside Learning Center, Station 3
In this poster presentation, a team from NYU School of Medicine will discuss how adding a smart phrase, or macro, to its speech recognition system led to a significant improvement in critical results reporting and documentation.

In this poster presentation, a team from NYU School of Medicine will discuss how adding a smart phrase, or macro, to its speech recognition system led to a significant improvement in critical results reporting and documentation.

One of the Joint Commission's National Patient Safety Goals is to get important test results to the right staff person on time, noted presenter Dr. Lindsay Griffin.

"As radiologists, we are often making key, time-sensitive diagnoses," Griffin said. "While the most crucial step is getting the information to the clinician treating the patient, it is also important for us to obtain confirmation that the clinician has heard the information we are communicating and to document that conversation."

The researchers had noticed that dictations of critical results had incomplete documentation of the reporting of results to clinicians. Without documentation, it is impossible to know who was informed, when they were informed, and if they heard the result.

The institution's legacy critical results reporting process was found to be clunky and cumbersome. As a result, they developed a macro for their PowerScribe speech recognition system (Nuance Communications) that could be easily added to the bottom of a dictation, obviating the need to open a separate program that had been previously used to report these results. The macro includes all of the information fields required for complete documentation, such as the date and time, the name of the licensed independent practitioner, and the fact that communicated results were read back, Griffin said. After the macro is inserted into the report, the critical result is also automatically tagged in the critical results database.

Thanks to the new macro, critical reports improved significantly (p < 0.001). Completeness of reporting documentation also increased from 35% to 100%, a difference that was also statistically significant (p < 0.001).

"Given these findings, our next aim is to achieve use of the macro in reporting 100% of the critical results," Griffin told AuntMinnie.com.

Learn more by visiting this poster in the QS Community at Lakeside Learning Center.

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