Speech Recognition To Speed Up Healthcare Provision
Speech recognition in healthcare
Using Voice Recognition Technology in Healthcare
The Benefits Of Speech Recognition Tools For The Healthcare Industry
Speech Recognition: Everything You Need to Know in 2023
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A Comprehensive Analysis of Speech Recognition Systems in Healthcare
The primary purpose of the article is to explore and highlight the benefits of the automatic speech recognition system in the healthcare sector. Healthcare is only one of the many industries that have benefited from the tremendous breakthroughs brought about by pervasive computing. The rising use of speech-processing technologies is one of the most notable. In this work, we discuss how speech ...
Electronic Health Record Interactions through Voice: A Review
The foremost use of voice in health care has been speech recognition (SR) for dictation ( Table 1). 29 With SR software, a user speaks words into a microphone, and the spoken words are transcribed into electronic text. Use of dictation for transcription in health care was described in the radiology literature in the 1980s and adopted in other ...
What Is Speech Recognition?
While speech recognition is commonly confused with voice recognition, speech recognition focuses on the translation of speech from a verbal format to a text one whereas voice recognition just seeks to identify an individual user's voice. ... Healthcare: Doctors and nurses leverage dictation applications to capture and log patient diagnoses ...
A systematic review of speech recognition technology in health care
Papers were included if they referred to speech recognition in health care settings, being used by health professionals (allied health, medicine, nursing, technical or support staff), with an evaluation of patient or staff outcomes. All research designs, experimental and non-experimental, were included. Studies were excluded if they were ...
Why voice recognition is the new competitive battleground in healthcare
Big tech and voice-recognition in healthcare. Big tech firms and startups alike are keen to expand voice recognition capabilities, considering the significant potential for voice-enabled tools to improve productivity and transform patient experiences. Amazon, Google, and Apple have all invested in consumer-facing voice applications.
The Pros And Cons of Speech Recognition Systems in Healthcare
Speech Recognition in Healthcare. Speech recognition programs identify spoken words and then either complete a task or translate the spoken word into text. If you have ever dictated something to your phone or your vehicle (such as instructing it to 'Call Mom'), then you've used a form of speech recognition technology. ...
A systematic review of speech recognition technology in health care
Background To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care. Methods A systematic review of existing literature from 2000 was undertaken. Inclusion criteria were: all papers that referred to speech recognition (SR) in health care settings, used by health professionals (allied health, medicine, nursing ...
A systematic review of speech recognition technology in health care
Inclusion criteria were: all papers that referred to speech recognition (SR) in health care settings, used by health professionals (allied health, medicine, nursing, technical or support staff ...
Speech Recognition Technology for Increasing Nursing Documentation
Speech Recognition Technology (SRT) has increased in prevalence as a solution for providers to improve their documentation efficiency. Because nursing documentation consists primarily of discrete data entry into flowsheets, SRT has not been widely implemented for nurses (Blackley et al., 2019). Nursing documentation, especially in flowsheets, is time consuming. Acute care nurses spend 19% to ...
Speech Technology for Healthcare: Opportunities ...
Speech technology is not appropriately explored even though modern advances in speech technology—especially those driven by deep learning (DL) technology—offer unprecedented opportunities for transforming the healthcare industry. In this paper, we have focused on the enormous potential of speech technology for revolutionising the healthcare domain. More specifically, we review the state-of ...
Speech Recognition for Medical Dictation: Overview in Quebec and
Speech recognition is increasingly used in medical reporting. The aim of this article is to identify in the literature the strengths and weaknesses of this technology, as well as barriers to and facilitators of its implementation. A systematic review of systematic reviews was performed using PubMed, …
Four Ways Voice Recognition Will Improve Healthcare
Healthcare leaders and practitioners are already moving along the planning and implementation horizon as they master transactional voice recognition applications and move to applications ...
How voice recognition technology is benefitting NHS staff and patients
In one six-month period, staff inputted more than 40,000 minutes of text using voice recognition technology. Because inputting speech with voice recognition is 3-5 times faster than typing, the new system saved approxinately 150,000 minutes (2,500 hours) which would have previously been required to type the information.
A systematic review of speech recognition technology in health care
Background: To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care. Methods: A systematic review of existing literature from 2000 was undertaken. Inclusion criteria were: all papers that referred to speech recognition (SR) in health care settings, used by health professionals (allied health, medicine, nursing ...
Speech Recognition in Healthcare: Dictation and Transcription
The speech recognition system, and its dictation and transcription applications, greatly simplify and make the creation and maintenance of electronic medical records more efficient. It is the rapid development of speech Recognition technology that contributes to its practicality and feasibility of use. So, how does speech recognition speed up ...
PDF Speech recognition technology translates to patient risk
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).It incorporates knowledge and research in the computer ...
Speech Recognition: Definition, Importance and Uses
Speech Recognition: Definition, Importance and Uses Speech recognition is the way to convert conversations to text for enhanced productivity. ... Healthcare has seen considerable efficiency increases, with professionals using speech recognition for quick recording. Voice commands in driving settings help maintain safety and allow hands and eyes ...
What is AI? Artificial Intelligence explained
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Examples of AI applications include expert systems, natural language processing (), speech recognition and machine vision.. As the hype around AI has accelerated, vendors have scrambled to promote how their products and services incorporate it.
What is Speech Recognition?
What is speech recognition? Speech recognition, or speech-to-text, is the ability of a machine or program to identify words spoken aloud and convert them into readable text. Rudimentary speech recognition software has a limited vocabulary and may only identify words and phrases when spoken clearly. More sophisticated software can handle natural speech, different accents and various languages.
Health and Well-Being
An important implication of this definition is that mental health is more than just the absence of mental disorders or disabilities. Mental health is a state of well-being in which an individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and is able to make a contribution to his or her ...
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COMMENTS
The primary purpose of the article is to explore and highlight the benefits of the automatic speech recognition system in the healthcare sector. Healthcare is only one of the many industries that have benefited from the tremendous breakthroughs brought about by pervasive computing. The rising use of speech-processing technologies is one of the most notable. In this work, we discuss how speech ...
The foremost use of voice in health care has been speech recognition (SR) for dictation ( Table 1). 29 With SR software, a user speaks words into a microphone, and the spoken words are transcribed into electronic text. Use of dictation for transcription in health care was described in the radiology literature in the 1980s and adopted in other ...
While speech recognition is commonly confused with voice recognition, speech recognition focuses on the translation of speech from a verbal format to a text one whereas voice recognition just seeks to identify an individual user's voice. ... Healthcare: Doctors and nurses leverage dictation applications to capture and log patient diagnoses ...
Papers were included if they referred to speech recognition in health care settings, being used by health professionals (allied health, medicine, nursing, technical or support staff), with an evaluation of patient or staff outcomes. All research designs, experimental and non-experimental, were included. Studies were excluded if they were ...
Big tech and voice-recognition in healthcare. Big tech firms and startups alike are keen to expand voice recognition capabilities, considering the significant potential for voice-enabled tools to improve productivity and transform patient experiences. Amazon, Google, and Apple have all invested in consumer-facing voice applications.
Speech Recognition in Healthcare. Speech recognition programs identify spoken words and then either complete a task or translate the spoken word into text. If you have ever dictated something to your phone or your vehicle (such as instructing it to 'Call Mom'), then you've used a form of speech recognition technology. ...
Background To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care. Methods A systematic review of existing literature from 2000 was undertaken. Inclusion criteria were: all papers that referred to speech recognition (SR) in health care settings, used by health professionals (allied health, medicine, nursing ...
Inclusion criteria were: all papers that referred to speech recognition (SR) in health care settings, used by health professionals (allied health, medicine, nursing, technical or support staff ...
Speech Recognition Technology (SRT) has increased in prevalence as a solution for providers to improve their documentation efficiency. Because nursing documentation consists primarily of discrete data entry into flowsheets, SRT has not been widely implemented for nurses (Blackley et al., 2019). Nursing documentation, especially in flowsheets, is time consuming. Acute care nurses spend 19% to ...
Speech technology is not appropriately explored even though modern advances in speech technology—especially those driven by deep learning (DL) technology—offer unprecedented opportunities for transforming the healthcare industry. In this paper, we have focused on the enormous potential of speech technology for revolutionising the healthcare domain. More specifically, we review the state-of ...
Speech recognition is increasingly used in medical reporting. The aim of this article is to identify in the literature the strengths and weaknesses of this technology, as well as barriers to and facilitators of its implementation. A systematic review of systematic reviews was performed using PubMed, …
Healthcare leaders and practitioners are already moving along the planning and implementation horizon as they master transactional voice recognition applications and move to applications ...
In one six-month period, staff inputted more than 40,000 minutes of text using voice recognition technology. Because inputting speech with voice recognition is 3-5 times faster than typing, the new system saved approxinately 150,000 minutes (2,500 hours) which would have previously been required to type the information.
Background: To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care. Methods: A systematic review of existing literature from 2000 was undertaken. Inclusion criteria were: all papers that referred to speech recognition (SR) in health care settings, used by health professionals (allied health, medicine, nursing ...
The speech recognition system, and its dictation and transcription applications, greatly simplify and make the creation and maintenance of electronic medical records more efficient. It is the rapid development of speech Recognition technology that contributes to its practicality and feasibility of use. So, how does speech recognition speed up ...
©The Joint Commission,Division of Health Care Improvement . Issue 12 Update: May 2022 . Initial publication: April 2015. Speech recognition technology . translates to patient risk . Issue: The use of voice or speech recognition technology (SRT) for health care documentation has put patients at risk for injury and death.
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).It incorporates knowledge and research in the computer ...
Speech Recognition: Definition, Importance and Uses Speech recognition is the way to convert conversations to text for enhanced productivity. ... Healthcare has seen considerable efficiency increases, with professionals using speech recognition for quick recording. Voice commands in driving settings help maintain safety and allow hands and eyes ...
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Examples of AI applications include expert systems, natural language processing (), speech recognition and machine vision.. As the hype around AI has accelerated, vendors have scrambled to promote how their products and services incorporate it.
What is speech recognition? Speech recognition, or speech-to-text, is the ability of a machine or program to identify words spoken aloud and convert them into readable text. Rudimentary speech recognition software has a limited vocabulary and may only identify words and phrases when spoken clearly. More sophisticated software can handle natural speech, different accents and various languages.
An important implication of this definition is that mental health is more than just the absence of mental disorders or disabilities. Mental health is a state of well-being in which an individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and is able to make a contribution to his or her ...