Related Experiment Video
Updated: Dec 25, 2025
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
Published on: July 22, 2025
The impact of implementing speech recognition technology on the accuracy and efficiency (time to complete) clinical
Joseph Joseph1,2, Zena E H Moore2, Declan Patton2
1Naas General hospital, Naas, Ireland.
Introduction:
Speech recognition technology (SRT) recognises an individual's spoken word signals through a microphone and subsequently processes the user's words into digital text by means of a computer. SRT remains well established and continues to grow in popularity among the various health disciplines. Many studies have been done to examine the effects of SRT on nursing documentation, however, no previous systematic review (SR) on the effects of SRT on accuracy and efficiency of nursing documentation was identified.
Aims And Methods:
To systematically review the impact of speech recognition technology on the accuracy and efficiency of clinical nursing documentation. A SR was conducted that measures the accuracy and efficiency (time to complete documentation) of SRT on nursing documentation. An extensive search of the literature included Web of Science, CINAHL via EBSCO host, Cochrane Library, Embase, MEDLINE and Google Scholar. The PRISMA checklist screened eligible papers. The quality of each paper was critically appraised, data extracted and analysed/synthesised.
Results:
A total of 10 studies were included. Various devices and systems have been used to examine the accuracy, efficiency and impact of SRT on nursing documentation. A positive impact of SRT with significant advances in accuracy/productivity of nursing documentation at the point of care was found. However, a substantial degree of initial costing, training requirements and studied interface modification to individual healthcare units are needful in incorporating SRT systems.
Conclusions:
Speech recognition technology when applied to nursing documentation could open up a promising new interface for data entry from the point of care, though the full potential of the technology has not been explored.
Relevance To Clinical Practice:
The compatibility/effectiveness of SRT with existing computer systems remains understudied. SRT training, prompt on-site technical support, maintenance and upgrades cannot be underestimated towards achieving high-level accuracy and efficiency (time to complete documentation) with SRT.
More Related Videos
07:50A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
08:36The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living
Published on: July 28, 2022
Related Concept Videos
01:08Role of Communication in the Nursing Process III: Evaluation and Documentation
01:30Guidelines for Nursing Documentation I
Factual:
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
01:20Introduction to Documentation and Reporting
Nursing documentation records essential information and details regarding a patient's care and treatment in written or electronic form. It is a critical aspect of nursing practice that involves documenting assessments, interventions, outcomes, and other relevant details about a patient's health status.
Documentation maps the patient's health journey by creating a comprehensive...
01:26Guidelines for Nursing Documentation II
Timely documentation is crucial to ensure continuity of care for patients. Any delays in recording or reporting medical information can result in medical errors and even adverse patient outcomes. From medication administration to diagnostic test results, every detail must be accurately and promptly documented to provide the best possible care for patients.
01:21Methods of Documentation III: PIE
01:10Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...