Essential Elements in Synoptic Operative Reports for Hepato-Pancreato-Biliary Cancer Surgery: An HPB/CGSO Training Program Survey.

BACKGROUND: Synoptic operative reports (SORs) are checklists or templates that contain standardized elements of an operation. These elements are associated with standardized inclusion of critical elements of the operative report that translate into numerous potential benefits. Whereas SORs for melanoma, breast, and colorectal cancer surgery have already been widely implemented, similar templates for hepato-pancreato-biliary (HPB) cancer surgery are currently lacking. METHODS: An anonymous voluntary online survey was distributed to HPB attendings and fellows at HPB and complex general surgical oncology (CGSO) fellowship programs. RESULTS: The 54 participants in this study comprised 31 (57%) HPB surgery attendings, 15 (28%) HPB surgery fellows, and 8 (15%) CGSO fellows. Notably, only six (11%) participants reported consistent use of an HPB SOR. The most commonly reported barriers to SOR uptake were the "lack of a readily available template" (55%) and the "lack of consensus/guidelines" (49%). Despite these limiting factors, a majority of respondents indicated a strong willingness to use a standardized and readily available HPB SOR (mean, 4.13/5 ± 1.23). This interest did not differ between attendings and fellows (p = 0.52) or between the participants stratified by surgical experience (p = 0.58). Finally, the participants were provided a comprehensive list of possible elements to incorporate into a standardized pancreatic and hepatobiliary SOR. After the exclusion of elements with less than 75% agreement, the pancreatic SORs included 17 (57%) of 30 possible elements, and the hepatobiliary SORs included 19 (76%) of 25 possible elements. CONCLUSION: Broad consensus on several elements of the HPB SOR suggests that uptake should be accelerated in HPB surgery.

Handwriting difficulties in children with dyslexia: Poorer legibility in dictation and alphabet tasks, slowness in the alphabet task.

Several studies have shown that children with dyslexia (DYS), in addition to their reading and spelling deficits, encounter handwriting difficulties that are still poorly understood in terms of their nature and origin. The present study aimed to better understand the handwriting difficulties of children with DYS by comparing their handwriting quality and speed in two tasks, a dictation task and an alphabet task, which required fewer spelling skills than the dictation task. Twenty-nine French-speaking children (Mage = 9.5 years) participated in the study, including 18 children with DYS and nine typically developing (TD) children matched on chronological age. The children performed control tasks, a dictation task with words varying in graphic and orthographic complexity and an alphabet writing task. Accuracy, handwriting quality (legibility), and fluency (speed, writing and pause time) were carefully measured using a digital tablet. GLMM analysis and t tests showed that children with DYS made more aesthetic errors (handwriting quality) in both the dictation and alphabet task than TD children. They also wrote more slowly than TD children in the alphabet task (speed, pause time). These findings suggest that children with DYS present handwriting difficulties, even in a simple alphabet task. In dictation, they seem to favour speed at the expense of handwriting quality.

A comparison of synoptic reports and dictated reports to enhance and standardize surgical documentation and quality of care in epithelial ovarian cancer.

OBJECTIVE: The purpose of this study is to assess the degree to which synoptic reports (SRs) and dictated reports (DRs) document elements of the Ovarian Cancer Pan-Canadian Standards Data Elements (OCPCDE) checklist, and to compare their completeness. Analysis of dictated versus synoptic reporting has never been performed for suspected epithelial ovarian cancer (EOC) based on literature review at the time of data collection (1-12). METHODS: A retrospective chart review was performed including 254 charts of women 18 years or older, from 2012 to 2017, undergoing surgery for suspected EOC. Charts from five gynecologic oncologists, at a single tertiary care centre were used. The OCPCDE checklist was used to evaluate their completeness. Comparison of completeness between SRs and DRs was done using linear regression with a fixed effect of surgeon to account for intraclass correlation. RESULTS: The data showed that SRs included 20.1% more data elements than DRs. Data elements that may be perceived as being more critical were more likely to be documented in SRs. Residual disease data was documented in 51.7% DR versus 99.1% of SR. Descriptive data upon entering the abdomen was more frequently documented in DRs. CONCLUSION: This study shows that synoptic reporting includes more data elements deemed important by the OCPCDE checklist authors for suspected epithelial ovarian cancer surgery in our centre. We would recommend continuation of SRs in our department, and implementation of synoptic reporting in other gynecologic oncology centres where surgery for suspected epithelial ovarian cancer is performed.

Operative dictations in surgical trainees: an underutilized educational resource?

INTRODUCTION: Accurate operative notes are imperative to patient care and are used for communication, billing, quality assurance, and medical-legal conflicts. However, operative note quality often varies and many lack critical details. Unfortunately, no standardized training exists in operative dictations for surgical trainees. This pilot study sought to determine resident ability to dictate a comprehensive operative note and to determine a need for a formal operative dictation curriculum. METHODS: Thirty-eight surgical residents between post-graduate years (PGY) one to four participated in a ventral hernia repair simulation. One senior (PGY3/4) resident coached two junior residents (PGY1/2). Residents completed an informal needs assessment regarding operative dictations. Post-simulation, residents completed an operative dictation. Notes were graded using a modified validated rubric. RESULTS: Thirty-five residents completed the needs assessment, and 38 residents submitted an operative note. Eighty-two percent of this group have completed ≤ 25 operative dictations in training and 77% have received minimal feedback on operative dictations. Out of 33 total points, mean overall score was 18.9 ± 5.4 (Junior resident: 17.9 ± 5.4; Senior resident: 20.9 ± 4.8) Total mean scores did not significantly differ between junior and senior residents (p = 0.10). Senior and junior residents scored similarly on the procedural details component (p = 0.29). Senior residents scored higher on relevant patient history and operative note headers (p = 0.04). CONCLUSION: Standard surgical training may not provide enough teaching and feedback to residents on operative note dictations. A formal residency training curriculum may bolster trainee ability to learn the components of an effective operative note.

A comparison between real-time intraoperative voice dictation and the operative report in laparoscopic cholecystectomy: a multicenter prospective observational study.

PURPOSE: The current operative report often inadequately reflects events occurring during laparoscopic cholecystectomy (LC). The addition of intraoperative video recording to the operative report has already proven to add important information. It was hypothesized that real-time intraoperative voice dictation (RIVD) can provide an equal or more complete overview of the operative procedure compared to the narrative operative report (NR) produced postoperatively. METHODS: SONAR is a multicenter prospective observational trial, conducted at four surgical centers in the Netherlands. Elective LCs of patients aged 18 years and older were included. Participating surgeons were requested to dictate the essential steps of LC during surgery. RIVDs and NRs were reviewed according to the stepwise LC guideline of the Dutch Society for Surgery. The cumulative adequacy rates for RIVDs were compared with those of the postoperatively written NR. RESULTS: 79 of 90 cases were eligible for inclusion and available for further analysis. RIVD resulted in a significantly higher adequacy rate compared to NR for the circumferential dissection of the cystic duct and artery (NR 32.5% vs. RIVD 61.0%, P = 0.016). NR had higher adequacy rates in reporting the transection of the cystic duct (NR 100% vs. RIVD 77.9%, P = < 0.001) and the removal of the gallbladder from the liver bed (NR 98.7% vs. RIVD 68.8%, P < 0.001). The total adequacy was not significantly different between the two reporting methods (NR 78.0% vs. RIVD 76.4%, P = 1.00). CONCLUSION: Overall, the adequacy of RIVD is comparable to the postoperatively written NR in reporting surgical steps in LC. However, the most essential surgical step, the circumferential dissection of the cystic duct and artery, was reported more adequately in RIVD.

Resident pre-dictation of ED case delay signoff of those reports, but overall, residents improve report turnaround time.

PURPOSE: In academic radiology departments, attendings and resident are increasingly working together overnight for Emergency Department (ED) radiology coverage. The purpose of this study was to quantify reporting turnaround time for overnight cases read by residents and for overnight shifts with residents on duty. METHODS: A retrospective study was performed at a hospital system where one overnight attending covers two hospitals with a 2nd/3rd year overnight resident, and a second overnight attending covers two other hospitals 80% of the time independently and 20% of the time with a fourth-year resident. In the first analysis, the median difference in turnaround time, from the time when the case was completed by the technologist to the time the attending finalized it, between cases read independently by attendings and cases pre-dictated by residents was calculated. In the second analysis, the median difference in turnaround time for all cases performed at the second two hospitals was compared on nights when an attending was on duty alone versus nights when a fourth-year resident was also on duty, regardless of if the resident had pre-dictated the case. RESULTS: For computed tomography (CT), radiographs (XR), and ultrasound (US), there was a significant delay in turnaround time for cases pre-dictated by residents compared to cases read independently by attendings, ranging between 11 and 49 min depending on resident seniority and modality (p ≤ 0.001). For all cases on nights with a 4th year resident working, overall median report turnaround time decreased by 7 min (p < 0.001). CONCLUSION: Resident pre-dictation causes delay in the finalization of individual CT, US, and XR reports; however, overall, working with residents results in a significant decrease in report turnaround time supporting the belief that overnight resident education does not delay patient care.

Radiology Dictation Errors with COVID-19 Protective Equipment: Does Wearing a Surgical Mask Increase the Dictation Error Rate?

Our aim was to determine the effect of wearing a surgical mask on the number and type of dictation errors in unedited radiology reports. IRB review was waived for this prospective matched-pairs study in which no patient data was used. Model radiology reports (n = 40) simulated those typical for an academic medical center. Six randomized radiologists dictated using speech-recognition software with and without a surgical mask. Dictations were compared to model reports and errors were classified according to type and severity. A statistical model was used to demonstrate that error rates for all types of errors were greater when masks are worn compared to when they are not (unmasked: 21.7 ± 4.9 errors per 1000 words, masked: 27.1 ± 2.2 errors per 1000 words; adjusted p < 0.0001). A sensitivity analysis was performed, excluding a reader with a large number of errors. The sensitivity analysis found a similar difference in error rates for all types of errors, although significance was attenuated (unmasked: 16.9 ± 1.9 errors per 1000 words, masked: 20.1 ± 2.2 errors per 1000 words; adjusted p = 0.054). We conclude that wearing a mask results in a near-significant increase in the rate of dictation errors in unedited radiology reports created with speech-recognition, although this difference may be accentuated in some groups of radiologists. Additionally, we find that most errors are minor single incorrect words and are unlikely to result in a medically relevant misunderstanding.

The need for standardization of nuclear cardiology reporting and data system (NCAD-RADS): Learning from coronary artery disease (CAD), breast imaging (BI), liver imaging (LI), and prostate imaging (PI) RADS.

Newer structured reporting manners, the reporting and data system (RADS), have made vast steps in improving standardized and structured reporting, allowing better communication between radiologists and referring providers. This has been implemented in several fields: breast (BI-RADS), lung (Lung-RADS), liver (LI-RADS), thyroid (TI-RADS), prostate (PI-RADS), and in cardiovascular radiology (CAD-RADS). The field of nuclear cardiology began its efforts of standardization years ago; however, a widespread standardized reporting structure has not yet been adopted. Such an approach in nuclear cardiology, the nuclear cardiology reporting and data system (NCAD-RADS), will assist radiologists and treating clinicians in conveying and understanding reports and determining the appropriate next steps in management. By linking explicit findings to defined recommendations, patients will receive more consistent and appropriate care.

Retrospective Analysis of Clinical Performance of an Estonian Speech Recognition System for Radiology: Effects of Different Acoustic and Language Models.

The aim of this study was to analyze retrospectively the influence of different acoustic and language models in order to determine the most important effects to the clinical performance of an Estonian language-based non-commercial radiology-oriented automatic speech recognition (ASR) system. An ASR system was developed for Estonian language in radiology domain by utilizing open-source software components (Kaldi toolkit, Thrax). The ASR system was trained with the real radiology text reports and dictations collected during development phases. The final version of the ASR system was tested by 11 radiologists who dictated 219 reports in total, in spontaneous manner in a real clinical environment. The audio files collected in the final phase were used to measure the performance of different versions of the ASR system retrospectively. ASR system versions were evaluated by word error rate (WER) for each speaker and modality and by WER difference for the first and the last version of the ASR system. Total average WER for the final version throughout all material was improved from 18.4% of the first version (v1) to 5.8% of the last (v8) version which corresponds to relative improvement of 68.5%. WER improvement was strongly related to modality and radiologist. In summary, the performance of the final ASR system version was close to optimal, delivering similar results to all modalities and being independent on user, the complexity of the radiology reports, user experience, and speech characteristics.

Perception of Native English Reduced Forms in Adverse Environments by Chinese Undergraduate Students.

Previous research has shown that learners of English-as-a-second-language (ESL) have difficulties in understanding connected speech spoken by native English speakers. Extending from past research limited to quiet listening condition, this study examined the perception of English connected speech presented under five adverse conditions, namely multi-talker babble noise, speech-shaped noise, factory noise, whispering and sad emotional tones. We tested a total of 64 Chinese ESL undergraduate students, using a battery of listening tasks. Results confirmed that the recognition of English native speech was more challenging for Chinese ESL learners under unfavorable listening conditions, in comparison to a noise-free listening condition. These findings carry significant implications for the importance of training and assessments on connected speech perception across various listening environments.

Introduction of digital speech recognition in a specialised outpatient department: a case study.

BACKGROUND: Speech recognition software might increase productivity in clinical documentation. However, low user satisfaction with speech recognition software has been observed. In this case study, an approach for implementing a speech recognition software package at a university-based outpatient department is presented. METHODS: Methods to create a specific dictionary for the context "sports medicine" and a shared vocabulary learning function are demonstrated. The approach is evaluated for user satisfaction (using a questionnaire before and 10 weeks after software implementation) and its impact on the time until the final medical document was saved into the system. RESULTS: As a result of implementing speech recognition software, the user satisfaction was not remarkably impaired. The median time until the final medical document was saved was reduced from 8 to 4 days. CONCLUSION: In summary, this case study illustrates how speech recognition can be implemented successfully when the user experience is emphasised.

The Art of the Radiology Report: Practical and Stylistic Guidelines for Perfecting the Conveyance of Imaging Findings.

The radiology report is the culmination of image acquisition, meticulous interpretation, and the generation of deliberate and thoughtful recommendations. It is essentially a translation of images into words, and as such must convey as much pertinent detail needed by the clinician in as concise a format as possible. Several important factors affect the overall quality of the finished report. Active voice helps to convey information more confidently, and in a manner that is easier to read and understand. The use of several words and phrases is frowned upon, as it makes the radiologist sound uncertain. The manner in which the impression is stated can significantly influence the ordering physician's decision as to whether to follow the radiologist's recommendations. Critical findings must be promptly communicated to the appropriate health care provider, and documented in the final report. By following the guidelines illustrated in this article, radiologists will learn how to create a perfected report, which will be concise, convey important findings while answering the clinical question posed, and will be favorably viewed by the requesting physician.

A Pilot Implementation and Evaluation of Speech Recognition Technology for Nurses and Health Disciplines.

This pilot study addresses the pervasive issue of burnout among nurses and health disciplines, often exacerbated by the use of electronic health record (EHR) systems. Recognizing the potential of dictation to alleviate documentation burden, the study focuses on the adoption of speech recognition technology (SRT) in a large Canadian urban mental health and addiction teaching hospital. Clinicians who participated in the pilot provided feedback on their experiences via a survey, and analytics data were examined to measure usage and adoption patterns. Preliminary feedback reveals a subset of participants rapidly embracing the technology, reporting decreased documentation times and increased efficiency. However, some clinicians experienced challenges related to initial setup time and the effort of adjusting to a novel documentation approach.

The Relationship between Auditory Analysis and Dictation Skills among Jordanian Fourth-Grade Students with Learning Difficulties.

This study aims to explore the skills of Jordanian Arabic-speaking fourth graders with learning difficulties in terms of auditory analysis and dictation tests. It mainly aims to investigate the relationship between students' abilities to perform auditory analyses and dictation tests. The sample in the study consists of 110 Jordanian fourth graders, who are then divided into 54 students with learning difficulties who are diagnosed as having a satisfactory level of reading and writing and 56 typically developing students. The students are asked to respond to two tests, the auditory analysis and the phonological awareness test, which are prepared by the researcher himself. The results demonstrate a statistically significant positive correlation between the auditory analysis and dictation skills of fourth-grade students with learning difficulties. This means that improving the auditory analysis skills corresponds to an increase in the dictation skills of these students. The results also reveal a statistically significant correlation between auditory analysis and dictation skills in typically developing students.

DysDiTect: Dyslexia Identification Using CNN-Positional-LSTM-Attention Modeling with Chinese Dictation Task.

Handwriting difficulty is a defining feature of Chinese developmental dyslexia (DD) due to the complex structure and dense information contained within compound characters. Despite previous attempts to use deep neural network models to extract handwriting features, the temporal property of writing characters in sequential order during dictation tasks has been neglected. By combining transfer learning of convolutional neural network (CNN) and positional encoding with the temporal-sequential encoding of long short-term memory (LSTM) and attention mechanism, we trained and tested the model with handwriting images of 100,000 Chinese characters from 1064 children in Grades 2-6 (DD = 483; Typically Developing [TD] = 581). Using handwriting features only, the best model reached 83.2% accuracy, 79.2% sensitivity, 86.4% specificity, and 91.2% AUC. With grade information, the best model achieved 85.0% classification accuracy, 83.3% sensitivity, 86.4% specificity, and 89.7% AUC. These findings suggest the potential of utilizing machine learning technology to identify children at risk for dyslexia at an early age.

A Comparative Study of Item Response Theory Models for Mixed Discrete-Continuous Responses.

Language proficiency assessments are pivotal in educational and professional decision-making. With the integration of AI-driven technologies, these assessments can more frequently use item types, such as dictation tasks, producing response features with a mixture of discrete and continuous distributions. This study evaluates novel measurement models tailored to these unique response features. Specifically, we evaluated the performance of the zero-and-one-inflated extensions of the Beta, Simplex, and Samejima's Continuous item response models and incorporated collateral information into the estimation using latent regression. Our findings highlight that while all models provided highly correlated results regarding item and person parameters, the Beta item response model showcased superior out-of-sample predictive accuracy. However, a significant challenge was the absence of established benchmarks for evaluating model and item fit for these novel item response models. There is a need for further research to establish benchmarks for evaluating the fit of these innovative models to ensure their reliability and validity in real-world applications.

Eye tracking validation: Improving radiologist reporting and interpretation.

RATIONALE AND OBJECTIVES: This study aims to validate a new radiology reporting style using eye tracking to maximize radiologist interpretation time, increase accuracy, and minimize dictation time, ultimately providing a clinically relevant, concise, and accurate reporting style. MATERIALS AND METHODS: The positive findings only dictation style using a podcast stand-alone microphone (n = 76) was compared with the standard check-list dictation style using a handheld microphone (n = 81). Experienced board-certified radiologists used each style for various imaging modalities. The number of voice recognition corrections per case was tracked. Eye-tracking glasses captured eye movement to document dictation, interpretation, and total examination times. This device also generated thermal heat maps for each style. The statistical difference between the two methods was assessed via descriptive analysis and inferential statistics. RESULTS: Eye tracking revealed that the new positive findings dictation style led to a noteworthy shift in radiologists' visual attention, with reduced heat map overlaying the reporting software compared to the standard check-list style, indicating greater focus on medical images. Cases with at least one voice recognition correction significantly decreased using the positive findings dictation style versus the standard check-list style (5.26 % vs. 14.81 %; p = 0.0240). The positive findings dictation style significantly decreased average dictation time (16.54 s [s] vs. 29.39 s; p = 0.0003) without impacting interpretation time (70.90 s vs. 64.30 s; p = 0.7799) or total examination time (87.45 s vs. 93.69 s; p = 0.3756) compared to the standard style. CONCLUSION: Positive findings only dictation style significantly decreased dictation time and enhanced accuracy without compromising total interpretation time.

Linguistic, visuospatial, and kinematic writing characteristics in cognitively impaired patients with beta-amyloid deposition.

Introduction: Beta-amyloid (Aß) deposition, a hallmark of Alzheimer's disease (AD), begins before dementia and is an important factor in mild cognitive impairment (MCI). Aß deposition is a recognized risk factor for various cognitive impairments and has been reported to affect motor performance as well. This study aimed to identify the linguistic, visuospatial, and kinematic characteristics evident in the writing performance of patients with cognitive impairment (CI) who exhibit Aß deposition. Methods: A total of 31 patients diagnosed with amnestic mild cognitive impairment (aMCI) with Aß deposition, 26 patients with Alzheimer's-type dementia, and 33 healthy control (HC) participants without deposition were administered tasks involving dictation of 60 regular words, irregular words, and non-words consisting of 1-4 syllables. Responses from all participants were collected and analyzed through digitized writing tests and analysis tools. Results: In terms of linguistic aspects, as cognitive decline progressed, performance in the dictation of irregular words decreased, with errors observed in substituting the target grapheme with other graphemes. The aMCI group frequently exhibited corrective aspects involving letter rewriting during the task. In terms of visuospatial aspects, the AD group displayed more errors in grapheme combination compared to the HC group. Lastly, in the kinematic aspects, both the aMCI group and the AD group exhibited slower writing speeds compared to the HC group. Discussion: The findings suggest that individuals in the CI group exhibited lower performance in word dictation tasks than those in the HC group, and these results possibly indicate complex cognitive-language-motor deficits resulting from temporal-parietal lobe damage, particularly affecting spelling processing. These results provide valuable clinical insights into understanding linguistic-visuospatial-kinematic aspects that contribute to the early diagnosis of CI with Aß deposition.

Spelling as a way to classify poor Chinese-English literacy skills in Hong Kong Chinese children.

Previous work has predominantly focused on word reading in studying literacy difficulties; very little work has focused on spelling difficulty instead. The present study adopted spelling (dictation) as the criterion to classify poor literacy skills in Hong Kong Chinese-English bilingual children. We examined the cognitive-linguistic skills profiles across four groups of children with different spelling abilities. Based on performances on Chinese and English dictation (criterion = below 25% in a larger sample), four groups were identified, 21 poor spellers of Chinese (PC), 18 poor spellers of English (PE), 27 poor spellers of both languages (PB), and 30 good spellers of both scripts (GB). Measures on language-specific tests of cognitive-linguistic skills (phonological awareness, lexical decision, morphological awareness, rapid naming, and delayed copying) were included to compare the degree of deficit exhibited by each group. With age, grade, and non-verbal intelligence controlled, one-way ANCOVA results revealed that, compared to GB, PC manifested significant deficits in Chinese-delayed copying but scored similarly on all English cognitive-linguistic skills. PE and PB showed significant deficits in Chinese and English phonological awareness compared to PC; they were significantly weaker in English-delayed copying, morphological awareness, and rapid naming (RAN). The PB group was significantly slower in both Chinese and English RAN compared to GB. Findings highlight the critical role of delayed copying in distinguishing poor spellers in both Chinese and English, the importance of phonological awareness for spelling in English but not in Chinese, and the role of automaticity in bilingual spelling difficulties.

Machine learning-based speech recognition system for nursing documentation - A pilot study.

PURPOSE: Considering the significant workload of nursing tasks, enhancing the efficiency of nursing documentation is imperative. This study aimed to evaluate the effectiveness of a machine learning-based speech recognition (SR) system in reducing the clinical workload associated with typing nursing records, implemented in a psychiatry ward. METHODS: The study was conducted between July 15, 2020, and June 30, 2021, at Cheng Hsin General Hospital in Taiwan. The language corpus was based on the existing records from the hospital nursing information system. The participating ward's nursing activities, clinical conversation, and accent data were also collected for deep learning-based SR-engine training. A total of 21 nurses participated in the evaluation of the SR system. Documentation time and recognition error rate were evaluated in parallel between SR-generated records and keyboard entry over 4 sessions. Any differences between SR and keyboard transcriptions were regarded as SR errors. FINDINGS: A total of 200 data were obtained from four evaluation sessions, 10 participants were asked to use SR and keyboard entry in parallel at each session and 5 entries were collected from each participant. Overall, the SR system processed 30,112 words in 32,456 s (0.928 words per second). The mean accuracy of the SR system improved after each session, from 87.06% in 1st session to 95.07% in 4th session. CONCLUSION: This pilot study demonstrated our machine learning-based SR system has an acceptable recognition accuracy and may reduce the burden of documentation for nurses. However, the potential error with the SR transcription should continually be recognized and improved. Further studies are needed to improve the integration of SR in digital documentation of nursing records, in terms of both productivity and accuracy across different clinical specialties.