Impact of RIS/PACS integrated speech recognition on report availability.
First adopted by radiology more than 25 years ago, speech recognition (SR) technology has been significantly improved. State-of-the-art SR systems are characterized by extensive vocabularies and advanced mathematical language models which theoretically allow for mean recognition rates far beyond 90%. Commercial arguments for SR implementation are a reduction of report turnaround times (RTT) and cost savings by the elimination of transcriptionist services. In contrast, the (potential) negative impact of front-end SR on radiologists' productivity has been discussed extensively in the literature. This study was conducted in a 1400 bed university hospital and aims to retrospectively evaluate the effect of an SR system on report availability and RTT over a 1.5 year period after integration into a preexisting RIS/PACS installation. Front-end SR with editing of the draft report by the radiologist (night and weekend reports) and back-end SR with correction of the draft report (put out by the recognition servers) by transcriptionists (reports generated during routine working time) were utilized.
Trumm
Christoph G
CG
Department of Clinical Radiology, Ludwig-Maximilians-University, Munich, Germany. christoph.trumm@med.uni-muenchen.de
Morhard
Dominik
D
Ertl-Wagner
Birgit
B
Glaser
Christian
C
Reiser
Maximilian F
MF
D004502:Education, Medical, Continuing; D017598:Efficiency, Organizational; D006746:Hospital Bed Capacity, 500 and over; D006785:Hospitals, University; D006801:Humans; D008499:Medical Records; D019982:Organizational Case Studies; D010561:Personnel Staffing and Scheduling; D011872:Radiology Department, Hospital / Q000458:organization & administration* / Q000706:statistics & numerical data; D011873:Radiology Information Systems; D012189:Retrospective Studies; D049250:Speech Recognition Software; D018511:Systems Integration; D013647:Task Performance and Analysis; D017749:Total Quality Management