Pilot study on the feasibility of a computerized speech recognition charting system

Feldman, Cecile A.; Stevens, Daniel J.

doi:10.1111/j.1600-0528.1990.tb00060.x

Cited by 16 publications

(8 citation statements)

References 18 publications

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“…Even though repeated usage of the system results in faster times to complete a report, the speech recognition system still requires more time than the tape-based system. This observation is consistent among several users of speech recognition technology [6,10,11]. The dictation procedure is one third longer with the speech recognition system, because it is necessary to speak clearly and give commands to the machine, whereas the experienced transcriber can guess words that are not clearly spoken and does not need to be given the commands.…”

Section: Discussionsupporting

confidence: 70%

Speech processing in radiology

et al. 1999

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The goal of this study was to evaluate the recognition rate, learning potential and amount of time needed to complete a report with the Philips speech recognition system SP 6000 (Philips, Best, The Netherlands). Four radiologists dictated reports of interventional radiology, MRI examinations of the musculoskeletal system and CT examinations of the thorax and abdomen with the Philips system using the German language. The recognition rate of each report and improvement rate after each learning phase of the Philips system was assessed. The time needed to complete a report using the Philips system was then compared with the time needed to complete a report using the tape-based system via a time analysis. The average recognition rate for the four radiologists using the Philips system was 79.6 %, which improved to 92.5 % after the third adaptation. Initially, the average time demand to dictate and correct one report was approximately 16.8 min, but this time decreased to 8.1 min after the third adaptation. In contrast, only 3. 6 min were needed to dictate and correct one report using the tape-based system. However, with the speech recognition system, dictation, correction and transcription of the report can be completed within 15 min, whereas with the tape-based system, it takes nearly 1 day. With the Philips system, speech recognition can reach as high as 95 % since each adaptation of the system improves the recognition rate by approximately 5 %. While the Philips system is associated with longer dictation times than the tape-based system, turn-around time for a complete report is substantially shorter with the Philips system than the tape-based system.

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Section: Discussionsupporting

confidence: 70%

Speech processing in radiology

et al. 1999

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“…In the past 50 years there have been many technological advances in the methods used for the clinical examination of periodontal tissues. Prominent among these are pressure-sensitive periodontal probes (2,8,26,121), electronic patient-record systems (19,39,42,71,213) and voice-activated periodontal charting methods (69,85). Notable advances in oral radiography have included subtraction radiography (51,113,209) and cone-beam computed tomography (32,68,73,92).…”

Section: Gary C Armitagementioning

confidence: 99%

Learned and unlearned concepts in periodontal diagnostics: a 50‐year perspective

Armitage¹

2013

Periodontology 2000

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In the past 50 years, conceptual changes in the field of periodontal diagnostics have paralleled those associated with a better scientific understanding of the full spectrum of processes that affect periodontal health and disease. Fifty years ago, concepts regarding the diagnosis of periodontal diseases followed the classical pathology paradigm. It was believed that the two basic forms of destructive periodontal disease were chronic inflammatory periodontitis and 'periodontosis'- a degenerative condition. In the subsequent 25 years it was shown that periodontosis was an infection. By 1987, major new concepts regarding the diagnosis and pathogenesis of periodontitis included: (i) all cases of untreated gingivitis do not inevitably progress to periodontitis; (ii) progression of untreated periodontitis is often episodic; (iii) some sites with untreated periodontitis do not progress; (iv) a rather small population of specific bacteria ('periodontal pathogens') appear to be the main etiologic agents of chronic inflammatory periodontitis; and (v) tissue damage in periodontitis is primarily caused by inflammatory and immunologic host responses to infecting agents. The concepts that were in place by 1987 are still largely intact in 2012. However, in the decades to come, it is likely that new information on the human microbiome will change our current concepts concerning the prevention, diagnosis and treatment of periodontal diseases.

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“…Another means of facilitating medical documentation is offered by automated speech recognition (ASR) which has undergone rapid development in recent years. Numerous speechsupported medical applications have been developed and assessed by evaluation studies [2,3], e.g., for command control of medical devices [4], for collection of medical data [5,6], for template-based medical documentation [7,8], or as an interface for medical expert systems [9,10]. Nevertheless, ASR still has not found its way into clinical routine, mainly because of inadequate integration of these products into the specific medical documentation scenario.…”

Section: Introductionmentioning

confidence: 99%

Requirements for Speech Recognition to Support Medical Documentation

Mönnich

Wetter²

2000

Methods Inf Med

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Abstract:Recent advances in the development of automated speech recognition (ASR) have made routine applications for medical documentation possible. To achieve this, ASR has to be optimally integrated into the specific documentation scenario. The classification presented in this paper allows the definition of specification requirements. For two different documentation scenarios the appropriate product selection has been done according to this classification. Two evaluation studies are presented, addressing the usefulness of applying automated speech recognition.

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Pilot study on the feasibility of a computerized speech recognition charting system

Cited by 16 publications

References 18 publications

Speech processing in radiology

Speech processing in radiology

Learned and unlearned concepts in periodontal diagnostics: a 50‐year perspective

Requirements for Speech Recognition to Support Medical Documentation

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