Tell it like it is.
OBJECTIVE
Nurses, therapists and case managers were spending too much time each week on the phone waiting to read patient reports to live transcriptionists who would then type the reports for storage in VNSNY's clinical management mainframe database.


METHODS
A speech recognition system helped solve the problem by providing the staff 24-hour access to an automated transcription service any day of the week.


RESULTS
Nurses and case managers no longer wait in long queues to transmit patient reports or to retrieve information from the database. Everything is done automatically within minutes.


CONCLUSIONS
VNSNY saved both time and money by updating its transcription strategy. Now nurses can spend more time with patients and less time on the phone transcribing notes. It also means fewer staff members are needed on weekends to do manual transcribing.
Lee
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D003152:Community Health Nursing / Q000191:economics / Q000458:organization & administration*; D017046:Cost Savings; D004059:Diffusion of Innovation; D017598:Efficiency, Organizational; D009519:New York City; D009737:Nursing Records; D019982:Organizational Case Studies; D013060:Speech; D015443:Word Processing / Q000191:economics / Q000379:methods*