Transcription Errors Research Articles

Perceptions, knowledge, and practices related to oral health in a group of pregnant women: A qualitative study.

It is well known that the prevalence of dental caries and periodontal disease is increasing in pregnant women. Dental care is mostly sufficient to prevent oral diseases and perform timely interventions. However, few pregnant women go to the dental office during this period due to a lack of knowledge. The perceptions, knowledge, and oral health practices of pregnant women have been scarcely explored and should be taken into account to propose positive interventions in this population. To identify and explore the perceptions, knowledge, and practices of oral health in a group of pregnant women in Colombia. Twenty-four semistructured interviews were conducted in different areas of Colombia. The interviews were conducted via telephone, and the calls were recorded with the consent of the participants. The recordings were transcribed in Word® and checked for typing and transcription errors. The transcripts were analyzed using a hybrid approach combining inductive and deductive coding. The information was organized and encoded using NVivo12 ®software. We followed the Standards for Reporting Qualitative Research (SRQR) checklist. Pregnant women reported having good oral health. One barrier mentioned for occupation (Job) was pregnancy. The appearance of the oral cavity has not negatively affected the relationships of pregnant women. The pregnant women had good oral hygiene habits but did not receive dental check-ups. Knowledge in this group was limited and diverse. The information given by health professionals should be standardized, and some beliefs should be demystified. In general, few pregnant women were aware of bleeding gums during pregnancy. Empower pregnant women to take care of themselves through regular dental check-ups with the aim of preventing and treating oral diseases. Oral hygiene education and healthy nutritional habits should be intensified during this stage. The participation in the study included a semistructured interview by telephone with the prior consent of the pregnant woman authorizing her involvement and the recording of the interview.

Electronic nursing documentation interventions to promote or improve patient safety and/or quality care in an acute setting

Research has demonstrated that the implementation of electronic nursing documentation interventions can enhance the precision and comprehensiveness of records, thereby providing a significant benefit. Electronic documentation systems help to reduce errors resulting from factors such as indecipherable handwriting, incomplete or absent documentation, and transcription errors. ‎In May 2022, a comprehensive research was conducted in CINAHL, MEDLINE, Cochrane, and Web of Science to identify relevant literature for their study. The study focuses on the use of electronic health systems in nursing, specifically in the documentation of care plans, records, reports, and charts. Individuals utilizing any given database employ the tools at their disposal to conduct searches for document abstracts and titles. This rapid review comprised one cross-sectional, one randomised control trial, two quasi-experimental, one qualitative, and one cohort study. The US, Taiwan, and Jordan each held two tests. The six trials included a medical-surgical and telemetry hospital with 446 beds, an acute care hospital with 1037 beds, a medical-surgical unit, and an urgent care clinic. The results revealed that electronic nursing documentation has improved quality of nursing.

Children with dyslexia show no deficit in exogenous spatial attention but show differences in visual encoding.

In the search for mechanisms that contribute to dyslexia, the term "attention" has been invoked to explain performance in a variety of tasks, creating confusion since all tasks do, indeed, demand "attention." Many studies lack an experimental manipulation of attention that would be necessary to determine its influence on task performance. Nonetheless, an emerging view is that children with dyslexia have an impairment in the exogenous (automatic/reflexive) orienting of spatial attention. Here we investigated the link between exogenous attention and reading ability by presenting exogenous spatial cues in the multi-letter processing task-a task relevant for reading. The task was gamified and administered online to a large sample of children (N=187) between 6 and 17 years. Children with dyslexia performed worse overall at rapidly recognizing and reporting strings of letters. However, we found no evidence for a difference in the utilization of exogenous spatial cues, resolving two decades of ambiguity in the field. Previous studies that claimed otherwise may have failed to distinguish attention effects from overall task performance or found spurious group differences in small samples. RESEARCH HIGHLIGHTS: We manipulated exogenous visual spatial attention using pre-cues in a task that is relevant for reading and we see robust task effects of exogenous attention. We found no evidence for a deficit in utilizing exogenous spatial pre-cues in children with dyslexia. However, children with dyslexia showed reduced recognition ability for all letter positions. Children with dyslexia were just as likely to make letter transposition errors as typical readers.

COVID-19’s Social and Economic Impact on Health Care Professionals in India

Novel Corona Virus or COVID 19 is from the family Coronaviridae, known to mankind since 1962 when it was first isolated from a patient of a respiratory illness. These are pleomorphic viruses containing varying size peplomers (80- 160nM). They have very high rates of mutation due to constantly developing transcription errors & RNA dependent RNA polymerase (RdRP) jumps. These viruses are zoonotic pathogens affecting mostly animals including cattle, dogs, cats & bats. However these animal viruses can spread to humans causing pandemics like SARS & COVID19. They can cause wide range of infections from asymptomatic stage to cases requiring management at intensive care units. The first notable disease caused by Coronaviridae viruses was severe acute respiratory syndrome (SARS) in China in 2002- 2003. After a decade there was an outbreak in Middle East countries causing thousands of deaths and causative CoV was named as Middle East Respiratory Syndrome Coronavirus (MERS-CoV). The present corona virus pandemic, which erupted in Dec 2019 from Wuhan sea food market and was later labelled as 2019 novel corona virus (nCOVID 19) by world health organisation, is posing as a major healthcare challenge across the globe. It is rapidly spreading across the globe taking millions of lives and causing chaos. It has severely jeopardized the world economy causing global recession.

Protocolization of multicenter clinical studies in the digital era. Is useful data centralization by a data-manager?

IntroductionIn multicenter studies, the protocolization of data is a critical phase that can generate biases.The objective is to analyze the concordance and reliability of the data obtained in a clinical multicenter study between the protocolization in the center of origin and the centralized protocolization of the data by a data -manager. MethodsNational multicenter clinical study about an infrequent carcinoma. A double protocolization of the data is carried out: (a) center of origin; and (b) centralized by a data manager: The concordance between the data is analyzed for the global data and for the two groups of the project: (a) study group (Familiar carcinoma, 30 researchers protocolize); (b) control group (Sporadic carcinoma, 4 people protocolize). Interobserver variability is evaluated using Cohen's kappa coefficient. ResultsThe study includes a total of 689 patients with carcinoma, 252 in the study group and 437 in the control group. Regarding the concordance analysis of the tumor stage, 2.5% of disagreements were observed and the concordance between people who protocolize was near perfect (Kappa = 0.931). Regarding the evaluation of the recurrence risk, disagreements occurred in 7% of the cases and the concordance was near perfect (Kappa = 0.819). Regarding the sonography evaluation (TIRADS), the disagreements were 6.9% and the concordance was near perfect (Kappa = 0.922). Also, 4.6% of transcription errors were detected. ConclusionsIn multicenter clinical studies, the centralized data protocolization o by a data-manager seems to present similar results to the direct protocolization in the database in the center of origin.

Optimizing medical personnel speech recognition models using speech synthesis and reinforcement learning

Text-to-Speech synthesis (TTS) can be used to generate training data for building Automatic Speech Recognition models (ASR). Access to medical speech data is because it is sensitive data that is difficult to obtain for privacy reasons. Speech can be synthesized by mimicking different accents, dialects, and speaking styles in a medical language. Reinforcement Learning (RL), in the context of ASR, can be used to optimize a model. A model can be trained to minimize errors in speech-to-text transcription, especially for technical medical terminology. In this case, the “reward” to the RL model can be negatively proportional to the number of transcription errors. The paper presents a method and experimental study from which it is concluded that the combination of TTS and RL can enable the creation of a speech recognition model suited to the specific needs of medical personnel, helping to expand the training data and optimize the model to minimize transcription errors. The learning process used reward functions based on Mean Opinion Score (MOS), a subjective metric for assessing speech quality, and Word Error Rate (WER), which evaluates the quality of speech-to-text transcription. [The Polish National Center for Research and Development (NCBR) supported the project: “ADMEDVOICE- Adaptive intelligent speech processing system of medical personnel with the structuring of test results and support of therapeutic process,” no. INFOSTRATEG4/0003/2022.]

Selective neuronal vulnerability to deficits in RNA processing.

Emerging evidence indicates that errors in RNA processing can causally drive neurodegeneration. Given that RNA produced from expressed genes of all cell types undergoes processing (splicing, polyadenylation, 5' capping, etc.), the particular vulnerability of neurons to deficits in RNA processing calls for careful consideration. The activity-dependent transcriptome remodeling associated with synaptic plasticity in neurons requires rapid, multilevel post-transcriptional RNA processing events that provide additional opportunities for dysregulation and consequent introduction or persistence of errors in RNA transcripts. Here we review the accumulating evidence that neurons have an enhanced propensity for errors in RNA processing alongside grossly insufficient defenses to clear misprocessed RNA compared to other cell types. Additionally, we explore how tau, a microtubule-associated protein implicated in Alzheimer's disease and related tauopathies, contributes to deficits in RNA processing and clearance.

How do young people move around in urban spaces?: Exploring trip patterns of generation-Z in urban areas by examining travel histories on Google Maps Timeline

Generation Zs have become dominant in the urban areas of various metropolitan cities worldwide, including in developing countries such as Indonesia. Their number has been estimated to be more than one-quarter of the population, and it is expected that they will become the largest generation in the coming years. Their contribution to the number of trips in urban areas has been significant, making it important to examine their travel patterns. The aim of this study had been to investigate the travel patterns of Generation Zs in the urban areas of developing countries such as Indonesia, where public transportation systems are not yet adequate and urban mobility is dominated by private vehicles (motorcycles and cars). This study had explored the travel behavior of Generation Zs, specifically their trip chains and mileage. This study had attempted to fill the research gap in travel pattern analysis using a travel diary approach, which is usually conducted over a relatively short period. Typically, a travel diary survey is only conducted over a few days or weeks since the approach requires significant time and is costly, while it is also susceptible to reporting and transcription errors. By utilizing travel history data from Google Maps Timeline, this study had observed the movement history of 434 Generation-Z individuals aged 17–24 years for 153 days (from August to December 2022). This approach is considered an alternative or complement to the travel diary survey, which had been commonly used. In the analysis, we had also considered gender, financial ability, home location, and workplace or campus location to discover how many trips had been made and how far people had traveled for their daily activities, both on weekdays and weekends. There had been a total of 213,094 trips observed, 63% of which had been made by motorcycle, and 35% of which had been made by car. (The remainder had been via walking, cycling, and public transportation, at only 2% overall.) The results had shown that men had made more daily trip chains and had had higher mileage than women, both on weekdays and weekends. Overall, the number of daily trips made on weekdays had been higher than on weekends. However, the research had also found that the higher the financial ability of the Generation-Z individual, the more daily trips they had made, especially on weekends. Even those with financial ability above IDR 2.4 million (>USD 156.37) had made more daily trips on weekends than on weekdays. The regression analysis results had shown that gender and financial ability had significantly influenced daily trips and mileage. Home location and workplace or campus location had also impacted daily trips and mileage. In addition, the results of this study also fill the gap in previous research on the travel behavior of Generation Z. With the characteristics of the built environment that still lack adequate public transportation systems and the dominance of private vehicles in urban mobility, the research findings show significant differences with developed countries that already have adequate public transportation systems.

Automated extraction of biplanar stereo-radiographic image measurements: Mizzou 3D SPinE.

Although several studies have reported on the application of biplanar stereo-radiographic technology in pediatric clinical practice, few have performed large-scale analyses. The manual extraction of these types of data is time-consuming, which often precludes physicians and scientists from effectively utilizing these valuable measurements. To fill the critical gap between clinical assessments and large-scale evidence-based research, we have addressed one of the primary hurdles in using data derived from these types of imaging modalities in pediatric clinical practice by developing an application to automatically transcribe and aggregate three-dimensional measurements in a manner that facilitates statistical analyses. Mizzou 3D SPinE was developed using R software; the application, instructions, and process were beta tested with four separate testers. We compared 1309 manually compiled three-dimensional deformity measurements derived from thirty-five biplanar three-dimensional reconstructions (image sets) from ten pediatric patients to those derived from Mizzou 3D SPinE. We assessed the difference between manually entered values and extracted values using a Fisher's exact test. Mizzou 3D SPinE significantly reduced the duration of data entry (95.8%) while retaining 100% accuracy. Manually compiled data resulted in an error rate of 1.58%, however, the magnitude of errors ranged from 5.97 to 2681.82% significantly increased the transcription accuracy (p value < 0.0001) while also significantly reducing transcription time (0.33 vs. 8.08min). Mizzou 3D SPinE is an essential component in improving evidence-based patient care by allowing clinicians and scientists to quickly compile three-dimensional data at regular intervals in an automated, efficient manner without transcription errors.

Similarity-Based Compression in Working Memory: Implications for Decay and Refreshing Models

AbstractThe ability to compress information is a fundamental cognitive function. It allows working memory (WM) to overcome its severely limited capacity. Recent evidence suggests that the similarity between items can be used to compress information, leading to a rich pattern of behavioral results. This work presents a series of simulations showing that this rich pattern of WM performance is captured using the principles of TBRS*, a decay and refreshing architecture. By assuming that similar items are compressed, the architecture can explain the beneficial effect of similarity on the items themselves. The architecture also explains the fact that when similar items are mixed with dissimilar items, this provides a proactive—but no retroactive—benefit on WM performance. In addition, the model captures fine-grained patterns of transposition errors recently reported. Several analyses are reported showing the robustness of the model’s predictions. We reached the conclusion that decay and refreshing theories provide a plausible explanation for compression effects in WM. These conclusions are discussed in light of recent experimental results. The importance of computational modeling for testing theories is emphasized.

Typos in Addis Ababa: Analysis of typographical errors on posters and banners

Errors have long been taken as an important source of insights into understanding a user's performance of a task. Errors provide feedback; they tell publishers something about the effectiveness of their editorial process and give them evidence about the competence of editors. This study examined the typographical errors of posters and banners in Addis Ababa. It was with the view of developing an effective copy-editing framework by using inputs from the printing press organisations which have been engaged in graphic artwork designs and printing services, and their key customers. To arrive at the intended purpose, descriptive survey research was designed and four different instruments, i.e. documents (posters and banners with typos), interviews, focus group discussions and observation were employed. The results of the study reveal that the typos on posters and banners were related to omission, addition/insertion, transposition and lexical root errors. Of these typographical errors, lexical root errors occupied the highest position, followed by errors of omission. Errors of addition/insertion and substitution, however, occurred less frequently. Errors of transposition were the least frequent of all types of typos. A lack of copy editors' professional competence, a deprived systemic approach to publishing posters and banners, the absence of standards for publishing posters and banners and the duration of usability of posters and banners were also identified as the major causes of typographical errors. Finally, based on the findings, the study suggested possible intervention packages.

A GIS-Based Digital Documentation Protocol for High-Resolution Documentation of Paleolithic Sites

Digitization of excavation recording can be a means to improve efficiency and accuracy of archaeological documentation on site. In the publications of the last decades, numerous different methodologies and various technical solutions have been presented. In this regard, this paper presents an approach to digital documentation developed for the excavation of the Upper Paleolithic site of Bad Kösen-Lengefeld based on the documentation requirements of the heritage administration of Saxony-Anhalt. The approach uses orthophotos from structure-from-motion processing for find proveniencing in a GIS system. Data is manipulated on tablet PCs and transferred via an on-site Wi-Fi network to a PostGIS database. The individual components of the system are listed, and their interplay in the recording system is described. The experiences in using the system at the site of Bad Kösen-Lengefeld are presented. The system improved accuracy of recording, reduced transcription errors and mistakes by the excavators, and reduced post-processing time. Also, main problems like adverse conditions on site such as heat and dust have been taken to account. Finally, the paper also provides an outlook on potential changes and improvements to the system. These include the use of rugged devices and the implementation of Python scripting for streamlining of data-processing.

Phonological working memory in children with and without ADHD: A systematic evaluation of recall errors.

Phonological working memory impairments associated with attention-deficit/hyperactivity disorder (ADHD) have garnered interest due to reliable evidence of moderate- to large-magnitude between-group (ADHD vs. control) effects, as well their association with a wide range of secondary impairments. However, previous studies are methodologically limited in their ability to identify potential underlying mechanistic processes. This study aimed to examine converging and diverging patterns of omission, intrusion, and transposition errors to parse-specific mechanistic processes that contribute to ADHD-related phonological working memory deficits. Fifty-four children with ADHD (45 males, nine females) and 65 typically developing (TD; 50 males, 15 females) children aged 8-12 (M = 9.62, SD = 1.52) years completed a computer-based phonological working memory task that aurally presented a random series of jumbled numbers and one letter. Children were instructed to verbally respond by stating the numbers from least to greatest, followed by the letter. Children's incorrect responses were coded as errors of omission, intrusion errors, or transposition errors. Results indicated a significant moderate-magnitude between-group difference in total omission and transposition errors, and a significant small-magnitude between-group difference in total intrusion errors. An examination of specific error types supported evidence of ADHD-related deficits in reordering and updating central executive processes. Collectively, these findings contribute to a more precise understanding of underlying mechanistic processes in ADHD-related working memory deficits and hold potential to inform the development of novel working memory metrics and working memory-based interventions for ADHD. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

ANALYSIS OF THE MOST COMMON SPELLING ERRORS IN ENGLISH FOR SAUDI STUDENTS: A CASE STUDY OF FOUNDATION YEAR STUDENTS

Most second language learners of English, including Saudi learners at universities, face some challenges with English writing, especially in spelling. These difficulties are attributed to several causes, such as the differences between English and Arabic .The purpose of the present study is to investigate the most spelling errors made by the first year Saudi female students . Also, to define the main factors behind the weakness of students' spelling. Additionally, to suggest some effective teaching approaches to improve spelling instruction. This study adopted Cook's classification of errors, which categorized errors into four categories: substitution, insertion, omission, and transposition. Participants of this study are 80 female students and ten English language teachers. The data was collected through writing a task and a survey. The analysis of errors revealed that errors of omission were the highest proportion of errors with a percentage of (41.55%), whereas substitution spelling errors occur as the lowest frequency with a percentage of (24.65%). Followed by insertion errors with a percentage of (19.72%). The lowest percentage of errors were related to errors of transposition with the proportion of (14.08%). The major cause of the students' spelling errors was the linguistic differences between English and Arabic.

Short communication: anomalies as a consequence of data transcription error for A1 Phytophthora cinnamomi isolate P15821

Short communication: anomalies as a consequence of data transcription error for A1 Phytophthora cinnamomi isolate P15821

Technology-enabled clinical trials: Intentional capture of source data (IDC) in the electronic-health record (EHR) and direct transfer to trial database (electronic data capture [EDC]) in a phase II multicenter trial.

1568 Background: Traditional data collection for clinical trials can be cumbersome and inefficient. FDA guidance now promotes capturing clinical trial source data in electronic form and transmitting it to the EDC, recognizing that this should reduce double data entry and improve data quality and timeliness. Electronic data originators can include the EHR, which can be used during routine clinical care and for gathering data during a clinical investigation. We evaluated a pilot of structured EHR data transfer to EDC in a clinical trial setting. Methods: IDC capability in the EHR was developed and applied to a subset of patients for an open label prospective Phase II study. EHR variables, that include free text, standard dictionaries (eg CTCAEv5, CDISC, First Databank), and derived responses, were mapped to the electronic case report form (eCRF). Bulk transmission of IDC clinical data (adverse events, AEs; concomitant medications, CMs; past medical history, PMH) from the EHR to EDC was executed at a designated time point during study conduct. We assessed the quantity (records) and quality (queries) of data captured and transferred, and timeliness of entry. Data to be used for the production analysis of the trial was collected via eCRF in an EDC system in parallel per usual standards. Results: Data for 102 patients across 8 sites of care by 99 different users was captured in the EHR via IDC from 3/1/2021 to 9/9/2022 and transferred from EHR to EDC in bulk on 9/9/22. 3,958 data records were transferred (852 AEs; 1,581 CMs; 1,525 PMHs). Of the AEs, 99% had an associated grade. Of the CMs and PMHs, none were copy-forwarded (all were entered de novo). Regarding queries in the EDC for transcription error validation among matching records, EHR data produced 205 opened edit check queries from 12 edit checks across all domains (149 AEs, 0 CMs, and 56 PMHs). Regarding timeliness, 95% of matched records were entered in IDC prior to entry in the production EDC. Conclusions: For an open label Phase II study, clinical trial source data was captured electronically through IDC using the EHR as the data originator, and directly bulk-transmitted to EDC. This may enable the elimination of transcription of source data entry into eCRF and result in more timely access to the data in the EDC. Additional investigation into how IDC with EHR-to-EDC compares in quality to traditional EDC is warranted. Planned follow up research includes interviewing site users to evaluate their experiences with IDC data entry.

ID: 222733 The Influence of Human Transcription Errors on Surgical Scheduling

Retrospective studies examining errors within a surgical scheduling setting do not fully represent the effects of human error involved in transcribing critical patient data. These errors can negatively impact patient care and reduce workplace efficiency, due to insurance claim denials and potential sentinel events. Previous reports underscore the high burdens physicians face associated with prior authorizations as it may lead to serious adverse events in patients or the abandonment of treatment due to these delays (1). This study simulates scheduling to examine the error rate of experienced schedulers when transcribing forms.

Protocolización de estudios clínicos multicéntricos en la era digital. ¿Tiene utilidad la centralización de datos por un data-manager?

IntroductionIn multicenter studies, the protocolization of data is a critical phase that can generate biases. The objective is to analyze the concordance and reliability of the data obtained in a clinical multicenter study between the protocolization in the center of origin and the centralized protocolization of the data by a data-manager. MethodsNational multicenter clinical study about an infrequent carcinoma. A double protocolization of the data is carried out: (i)center of origin; and (ii)centralized by a data manager. The concordance between the data is analyzed for the global data and for the two groups of the project: (i)study group (familiar carcinoma, 30 researchers protocolize); (ii)control group (sporadic carcinoma, 4 people protocolize). Interobserver variability is evaluated using Cohen's kappa coefficient. ResultsThe study includes a total of 689 patients with carcinoma: 252 in the study group and 437 in the control group. Regarding the concordance analysis of the tumor stage, 2.5% of disagreements were observed and the concordance between people who protocolize was near perfect (Kappa=0.931). Regarding the evaluation of the recurrence risk, disagreements occurred in 7% of the cases and the concordance was near perfect (Kappa=0.819). Regarding the sonography evaluation (TIRADS), the disagreements were 6.9% and the concordance was near perfect (Kappa=0.922). Also, 4.6% of transcription errors were detected. ConclusionsIn multicenter clinical studies, the centralized data protocolization by a data-manager seems to present similar results to the direct protocolization in the database in the center of origin.

Synergy among Pausing, Intrinsic Proofreading, and Accessory Proteins Results in Optimal Transcription Speed and Tolerable Accuracy.

Cleavage of dinucleotides after the misincorporational pauses serves as a proofreading mechanism that increases transcriptional elongation accuracy. The accuracy is further improved by accessory proteins such as GreA and TFIIS. However, it is not clear why RNAP pauses and why cleavage-factor-assisted proofreading is necessary despite transcriptional errors in vitro being of the same order as those in downstream translation. Here, we developed a chemical-kinetic model that incorporates most relevant features of transcriptional proofreading and uncovers how the balance between speed and accuracy is achieved. We found that long pauses are essential for high accuracy, whereas cleavage-factor-stimulated proofreading optimizes speed. Moreover, in comparison to the cleavage of a single nucleotide or three nucleotides, RNAP backtracking and dinucleotide cleavage improve both speed and accuracy. Our results thereby show how the molecular mechanism and the kinetic parameters of the transcriptional process were evolutionarily optimized to achieve maximal speed and tolerable accuracy.

Comparison of Automatic Speech Recognition System for School-aged Children’s Narratives: Naver Clova Speech and Google Speech-to-Text

Objectives: Language sample analysis (LSA) is a critical component of child language assessment. However, most clinicians consider LSA to be time consuming work. In particular, transcription is seen as an overwhelming task. Due to rapid technological advances, various automatic speech recognition systems have been developed. This study aimed to investigate the accuracy and the characteristics of two automatic speech recognition programs, Naver Clova Speech (Naver Clova) and Google Speech-to-Text (STT).Methods: A total of 40 school-aged children with typical development (TD) and children with language learning disabilities (LLD) participated in the study. Each child was asked to generate two fictional narratives. In total, 72 narratives produced by 36 children were used. To examine the accuracy of Naver Clova and Google STT, syllable error rate was analyzed and compared to reference transcripts. For the detailed analysis, types of error such as substitution, deletion and insertion were examined.Results: Results showed that Naver Clova was significantly lower than Google STT in error rate of transcription. But the transcription error rate of the two child groups was not significantly different. Additionally, the Naver Clova error rate was higher in substitution, deletion, and insertion respectively. The Google STT error rate, on the other hand, was higher in deletion, substitution and insertion respectively.Conclusion: Naver Clova were more accurate than Google STT in transcribing children’s narratives. But the transcription accuracy of two child groups was not different. This suggests that recently developed automatic speech recognition systems have clinical utility. These systems can reduce clinician’s workload in regards to LSA and this would contribute to qualitatively enhanced language assessment.