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At least 37 records · Page 2Linked to original sources
PubMed2004

Automated speech recognition for time recording in out-of-hospital emergency medicine-an experimental approach.

Precise documentation of medical treatment in emergency medical missions and for resuscitation is essential from a medical, legal and quality assurance point of view [Anästhesiologie und Intensivmedizin, 41 (2000) 737]. All conventional methods of time recording are either too inaccurate or elaborate for routine application. Automated speech recognition may offer a solution. A special erase programme for the documentation of all time events was developed. Standard speech recognition software (IBM ViaVoice 7.0) was adapted and installed on two different computer systems. One was a stationary PC (500MHz Pentium III, 128MB RAM, Soundblaster PCI 128 Soundcard, Win NT 4.0), the other was a mobile pen-PC that had already proven its value during emergency missions [Der Notarzt 16, p. 177] (Fujitsu Stylistic 2300, 230Mhz MMX Processor, 160MB RAM, embedded soundcard ESS 1879 chipset, Win98 2nd ed.). On both computers two different microphones were tested. One was a standard headset that came with the recognition software, the other was a small microphone (Lavalier-Kondensatormikrofon EM 116 from Vivanco), that could be attached to the operators collar. Seven women and 15 men spoke a text with 29 phrases to be recognised. Two emergency physicians tested the system in a simulated emergency setting using the collar microphone and the pen-PC with an analogue wireless connection. Overall recognition was best for the PC with a headset (89%) followed by the pen-PC with a headset (85%), the PC with a microphone (84%) and the pen-PC with a microphone (80%). Nevertheless, the difference was not statistically significant. Recognition became significantly worse (89.5% versus 82.3%, P<0.0001 ) when numbers had to be recognised. The gender of speaker and the number of words in a sentence had no influence. Average recognition in the simulated emergency setting was 75%. At no time did false recognition appear. Time recording with automated speech recognition seems to be possible in emergency medical missions. Although results show an average recognition of only 75%, it is possible that missing elements may be reconstructed more precisely. Future technology should integrate a secure wireless connection between microphone and mobile computer. The system could then prove its value for real out-of-hospital emergencies.

Automation↗
PubMed2000

[Experiences with a current speech recognition system in creating cardiology reports].

Development of speech recognition software is at a stage where you can use it effectively for creating cardiological reports or at least parts of it. We were very successful in using the Dragon Naturally Speaking system for our reports and we don't need a secretary for our writings any longer. Very important for effective work is a fast and good PC hardware, especially a good sound system and a sufficient amount of internal memory, also important is patience of the user, because a longer training phase is required. I recommend for own experiences to use the standard version which is cheap and includes all necessary features. Following some fundamental rules anyone can be successful with speech recognition. Development of speech recognition is increasing rapidly so that everyone of us will get in contact with it sooner or later, it would be better to be prepared for it now.

Cardiology↗
PubMed1998

[Edeka does all--machine speech recognition in social medicine expert testimony].

UNLABELLED: Automatic speech recognition systems are already being used in spheres employing a restricted vocabulary. OBJECTIVE: Our aim was to investigate whether low-cost speech recognition software for PC is capable of being usefully employed in the sphere of sociomedicine. MATERIALS AND METHODS: To this end 34 representative pages of text (a total of 11,000 words) taken from expertises on cases of suspected medical malpractice (many different subspecialties) were dictated using IBM's "Voice Type Simply Speaking" software. Having completed a page, the resulting error rate was recorded, and the text was corrected before we proceeded with the dictation. Finally, 3 pages of text were re-dictated and the resulting error rate determined. RESULTS: The error rate in the previously unknown text ranged between 10 and 23 per cent (mean 15.9%) without any significant reduction during the training phase, while that in the re-dictated text was drastically reduced to less than 3 per cent. It became evident that once a word was corrected the system hardly ever repeated that particular mistake. CONCLUSION: The system's poor performance on unknown text and the missing reduction in the error rate during the training phase are obviously not due to any incompetence of the system but to the huge amount of technical jargon in the scope of medical writing. To attain an acceptable performance we suggest to either extend the training phase, or, preferably, to confine the application to a single medical subspecialty. Its overwhelming learning ability makes the system a serious candidate typist in the sphere of sociomedicine.

Expert Testimony↗
PubMedDate not supplied

Importance and effects of altered workplace ergonomics in modern radiology suites.

The transition from a film-based to a filmless soft-copy picture archiving and communication system (PACS)-based environment has resulted in improved work flow as well as increased productivity, diagnostic accuracy, and job satisfaction. Adapting to this filmless environment in an efficient manner requires seamless integration of various components such as PACS workstations, the Internet and hospital intranet, speech recognition software, paperless electronic hospital medical records, e-mail, office software, and telecommunications. However, the importance of optimizing workplace ergonomics has received little attention. Factors such as the position of the work chair, workstation table, keyboard, mouse, and monitors, along with monitor refresh rates and ambient room lighting, have become secondary considerations. Paying close attention to the basics of workplace ergonomics can go a long way in increasing productivity and reducing fatigue, thus allowing full realization of the potential benefits of a PACS. Optimization of workplace ergonomics should be considered in the basic design of any modern radiology suite.

Asthenopia↗
PubMed2000

[Creating language model of the forensic medicine domain for developing a autopsy recording system by automatic speech recognition].

For the purpose of practical use of speech recognition technology for recording of forensic autopsy, a language model of the speech recording system, specialized for the forensic autopsy, was developed. The language model for the forensic autopsy by applying 3-gram model was created, and an acoustic model for Japanese speech recognition by Hidden Markov Model in addition to the above were utilized to customize the speech recognition engine for forensic autopsy. A forensic vocabulary set of over 10,000 words was compiled and some 300,000 sentence patterns were made to create the forensic language model, then properly mixing with a general language model to attain high exactitude. When tried by dictating autopsy findings, this speech recognition system was proved to be about 95% of recognition rate that seems to have reached to the practical usability in view of speech recognition software, though there remains rooms for improving its hardware and application-layer software.

Autopsy↗
PubMed2001

Review: occupational risks for voice problems.

The purpose of this paper is to provide a cohesive review of the literature regarding the functional consequences of voice problems and occupational risk factors for them. The salient points are as follows. According to conservative estimates, approximately 28,000,000 workers in the US experience daily voice problems. Many people who experience voice problems perceive them to have a negative impact on their work and their quality of life. Estimates based on empirical data suggest that, considering only lost work days and treatment expenses, the societal cost of voice problems in teachers alone may be of the order of about $2.5 billion annually in the US. In fact, across several countries, "teacher" consistently emerges as the common occupation most likely to seek otorhinolaryngological (ORL) evaluation for a voice problem. Other occupational categories likely to seek ORL examination for a voice problem are singer, counselor/social worker, lawyer, and clergy. Finally, US Census data indicate that keyboard operators may be at special risk for voice problems because of a near-epidemic growth of repetitive strain injury (RSI), which can adversely affect the voice especially when speech recognition software is implemented. This paper discusses frequency data, quality of life data, and treatment considerations for these voice-related occupational issues.

Adult↗
PubMed1994

A DNA sequence editor with voice input and output.

DNA sequence editors for IBM PC-compatible computers are often line-oriented, with complicated methods of entering and modifying sequences. This paper describes SE, a full-screen sequence editor that is operated like a word processor. Features include keyboard entry of new sequences, ability to search for patterns or sequence features, ability to switch strands, and ability to renumber and rotate circular sequences. The entry of new sequences can be confirmed by a spoken voice, and for proofreading, SE will read a sequence aloud using the PC's speaker. If the computer is fitted with a sound board and speech-recognition software, SE will also allow voice-input of sequences. Sequences are saved on a file in a format that is compatible with most sequence-analysis programs.

Computer Terminals↗
PubMed2001

Managing predefined templates and macros for a departmental speech recognition system using common software.

The authors have developed a networked database system to create, store, and manage predefined radiology report definitions. This was prompted by complete departmental conversion to a computer speech recognition system (SRS) for clinical reporting. The software complements and extends the capabilities of the SRS, and 2 systems are integrated by means of a simple text file format and import/export functions within each program. This report describes the functional requirements, design considerations, and implementation details of the structured report management software. The database and its interface are designed to allow all radiologists and division managers to define and update template structures relevant to their practice areas. Two key conceptual extensions supported by the template management system are the addition of a template type construct and allowing individual radiologists to dynamically share common organ system or modality-specific templates. In addition, the template manager software enables specifying predefined report structures that can be triggered at the time of dictation from printed lists of barcodes. Initial experience using the program in a regional, multisite, academic radiology practice has been positive.

Computer Peripherals↗
PubMed2005

Introducing DoT-U2--an XML-based knowledge supported checklist software for documentation of a newborn clinical screening examination.

In a project concerning the German newborn screening examination "U2" we developed a software system called DoT-U2 for concurrent documentation at the point of care. Physicians can enter findings in(to) a tree structured protocol with management of logical dependencies. Additionally, all findings except free text annotations can be entered by speech recognition. The software system program is written in Java and uses separate XML-based modules both for knowledge and language representation. It can, therefore, easily be adapted to other languages and further documentation scenarios. We showed the high flexibility of the software system by integrating it in a completely new setting in Salt Lake City without major problems. We found that modular software development with platform independent Java and XML leads to highly flexible software which can be adapted to very different scenarios without knowing their requirements ahead of time.

Decision Making, Computer-Assisted↗
PubMed1994

Inexpensive speech recognition techniques.

Improvements in technology have enabled creation of speech recognition hardware and software products which are easily affordable. This paper briefly reviews these techniques and describes several commercially available products which utilize them. Both speaker-dependent and speaker-independent techniques are included. The author concludes by describing a microprocessor-controlled, trainable, voice recognition board which he built for medical applications which is based on a commercial $5 speech recognition integrated circuit.

Computers↗
PubMed2006

Six characteristics of effective structured reporting and the inevitable integration with speech recognition.

The reporting of radiological images is undergoing dramatic changes due to the introduction of two new technologies: structured reporting and speech recognition. Each technology has its own unique advantages. The highly organized content of structured reporting facilitates data mining and billing, whereas speech recognition offers a natural succession from the traditional dictation-transcription process. This article clarifies the distinction between the process and outcome of structured reporting, describes fundamental requirements for any effective structured reporting system, and describes the potential development of a novel, easy-to-use, customizable structured reporting system that incorporates speech recognition. This system should have all the advantages derived from structured reporting, accommodate a wide variety of user needs, and incorporate speech recognition as a natural component and extension of the overall reporting process.

Humans↗
PubMed2004

Adding user-friendliness and ease of implementation to continuous speech recognition technology with speech macros: case studies.

Continuous Speech Recognition Technology implementation is expensive, and the failure of leading companies in this niche can hamper usefulness. C-SRT, if deployed and used with speech macros, experiences vastly improved implementations and drastically reduces medical transcription costs.A speech macro is a short phrase that is automatically translated into a block of text or a graphic display. A more powerful form of speech macro can bring up predefined templates and insert spoken text into the proper position automatically, based on its interpretation. Cases from the author's consulting experiences and from medical journals emphasize the need for speech macros from a cost-benefit standpoint. A prototype program is introduced that facilitates the process of creating macros. The need for macro management software is reconciled with current research on speech recognition and technology adoption. A planned experiment is discussed.

Speech Recognition Software↗
PubMedDate not supplied

Automatic speech recognition in vitreo-retinal surgery. A project for a prototypal computer-based voice-controlled vitrectomy machine.

In the past half decade automatic speech recognition techniques, software and hardware technology have matured enough to support sophisticated medical applications. The project described aimed at introducing a computer-based, voice-controlled prototype system in a simulated vitreo-retinal surgery scenario. The aim was to provide the surgeon with a tool that could significantly improve the quality and ease of work and shorten the duration of intervention. The speech recognition system allows voice entry of simple commands to simulate surgical instrument control, including the infusion pump, vitreous cutter and diathermy. The project relies on a Markov-based, speaker-dependent, commercial isolated-word recognizer, and consists of a specific recognition vocabulary and application software, created and developed by the authors. Results have been encouraging. The system performed well under the test conditions, proving robust, simple to use and accurate (over 97% average word recognition rate). On the basis of their experience, the authors believe that automatic speech recognition technology, though suffering from some limitations such as the need for training, speaker dependence and a relatively small vocabulary, and requiring extensive testing under operating conditions, merits further development and opens new perspectives for a possible new generation of surgical instruments.

Artificial Intelligence↗
PubMed2005

The role of voice-activated technology in today's dental practice.

BACKGROUND: Voice-activated modules are available for most leading clinical software applications. This article briefly charts the evolution of this technology, describes how it is used in dental practices and discusses possible future developments. CONCLUSIONS: Improvements in speech recognition and microphone technology have helped voice-activated charting and clinical note dictation become more accurate, faster and easier to carry out than previously possible. As the technology continues to evolve and is applied more broadly in clinical settings, voice activation is likely to become a mainstream part of dental computer technology. PRACTICE IMPLICATIONS: Voice activation is a user-friendly and cost-effective way to increase clinical productivity and maintain an innovative, up-to-date practice image.

Humans↗
PubMed2006

Computer access for people after stroke.

This article will focus on computer access options for people who have had a stroke. The role of the occupational therapist and assistive technology specialist in evaluation, prescription, and training will be addressed. Options related to physical, perceptual, or cognitive impairments (following a stroke) to allow for access to the computer or to increase efficiency will be discussed. Alternative hardware, software options, and modifications to the operating system will be described.

Humans↗