Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study.

BACKGROUND: Real-time surveillance of emerging infectious diseases necessitates a dynamically evolving, computable case definition, which frequently incorporates symptom-related criteria. For symptom detection, both population health monitoring platforms and research initiatives primarily depend on structured data extracted from electronic health records. OBJECTIVE: This study sought to validate and test an artificial intelligence (AI)-based natural language processing (NLP) pipeline for detecting COVID-19 symptoms from physician notes in pediatric patients. We specifically study patients presenting to the emergency department (ED) who can be sentinel cases in an outbreak. METHODS: Subjects in this retrospective cohort study are patients who are 21 years of age and younger, who presented to a pediatric ED at a large academic children's hospital between March 1, 2020, and May 31, 2022. The ED notes for all patients were processed with an NLP pipeline tuned to detect the mention of 11 COVID-19 symptoms based on Centers for Disease Control and Prevention (CDC) criteria. For a gold standard, 3 subject matter experts labeled 226 ED notes and had strong agreement (F1-score=0.986; positive predictive value [PPV]=0.972; and sensitivity=1.0). F1-score, PPV, and sensitivity were used to compare the performance of both NLP and the International Classification of Diseases, 10th Revision (ICD-10) coding to the gold standard chart review. As a formative use case, variations in symptom patterns were measured across SARS-CoV-2 variant eras. RESULTS: There were 85,678 ED encounters during the study period, including 4% (n=3420) with patients with COVID-19. NLP was more accurate at identifying encounters with patients that had any of the COVID-19 symptoms (F1-score=0.796) than ICD-10 codes (F1-score =0.451). NLP accuracy was higher for positive symptoms (sensitivity=0.930) than ICD-10 (sensitivity=0.300). However, ICD-10 accuracy was higher for negative symptoms (specificity=0.994) than NLP (specificity=0.917). Congestion or runny nose showed the highest accuracy difference (NLP: F1-score=0.828 and ICD-10: F1-score=0.042). For encounters with patients with COVID-19, prevalence estimates of each NLP symptom differed across variant eras. Patients with COVID-19 were more likely to have each NLP symptom detected than patients without this disease. Effect sizes (odds ratios) varied across pandemic eras. CONCLUSIONS: This study establishes the value of AI-based NLP as a highly effective tool for real-time COVID-19 symptom detection in pediatric patients, outperforming traditional ICD-10 methods. It also reveals the evolving nature of symptom prevalence across different virus variants, underscoring the need for dynamic, technology-driven approaches in infectious disease surveillance.

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study.

BACKGROUND: Medical documentation plays a crucial role in clinical practice, facilitating accurate patient management and communication among health care professionals. However, inaccuracies in medical notes can lead to miscommunication and diagnostic errors. Additionally, the demands of documentation contribute to physician burnout. Although intermediaries like medical scribes and speech recognition software have been used to ease this burden, they have limitations in terms of accuracy and addressing provider-specific metrics. The integration of ambient artificial intelligence (AI)-powered solutions offers a promising way to improve documentation while fitting seamlessly into existing workflows. OBJECTIVE: This study aims to assess the accuracy and quality of Subjective, Objective, Assessment, and Plan (SOAP) notes generated by ChatGPT-4, an AI model, using established transcripts of History and Physical Examination as the gold standard. We seek to identify potential errors and evaluate the model's performance across different categories. METHODS: We conducted simulated patient-provider encounters representing various ambulatory specialties and transcribed the audio files. Key reportable elements were identified, and ChatGPT-4 was used to generate SOAP notes based on these transcripts. Three versions of each note were created and compared to the gold standard via chart review; errors generated from the comparison were categorized as omissions, incorrect information, or additions. We compared the accuracy of data elements across versions, transcript length, and data categories. Additionally, we assessed note quality using the Physician Documentation Quality Instrument (PDQI) scoring system. RESULTS: Although ChatGPT-4 consistently generated SOAP-style notes, there were, on average, 23.6 errors per clinical case, with errors of omission (86%) being the most common, followed by addition errors (10.5%) and inclusion of incorrect facts (3.2%). There was significant variance between replicates of the same case, with only 52.9% of data elements reported correctly across all 3 replicates. The accuracy of data elements varied across cases, with the highest accuracy observed in the "Objective" section. Consequently, the measure of note quality, assessed by PDQI, demonstrated intra- and intercase variance. Finally, the accuracy of ChatGPT-4 was inversely correlated to both the transcript length (P=.05) and the number of scorable data elements (P=.05). CONCLUSIONS: Our study reveals substantial variability in errors, accuracy, and note quality generated by ChatGPT-4. Errors were not limited to specific sections, and the inconsistency in error types across replicates complicated predictability. Transcript length and data complexity were inversely correlated with note accuracy, raising concerns about the model's effectiveness in handling complex medical cases. The quality and reliability of clinical notes produced by ChatGPT-4 do not meet the standards required for clinical use. Although AI holds promise in health care, caution should be exercised before widespread adoption. Further research is needed to address accuracy, variability, and potential errors. ChatGPT-4, while valuable in various applications, should not be considered a safe alternative to human-generated clinical documentation at this time.

Impact of COVID-19 public health restrictions on pregnant people's mental health, a mixed methods study.

The COVID-19 pandemic impacted the provision of obstetrical care. This mixed-methods study explores pregnant women's experiences during the COVID-19 pandemic using an explanatory sequential design. The experiences and opinions of obstetrical patients were elicited using an online questionnaire and semi-structured interview as a follow-up. There were 162 completed questionnaires, and 17 interviews. Qualitative analysis themes included worries about the intrapartum experience, impact on partners, and lack of postpartum support for breastfeeding and mental health. This study provides understanding of how the pandemic impacted pregnancy experiences, and the potential future repercussions of isolation and restrictions on wellbeing during public health crises. RéSUMé: La pandémie de COVID-19 a influencé la prestation de soins obstétricaux. Cette étude mixte explore les expériences des femmes enceintes pendant la pandémie de COVID-19 à l'aide d'un plan de recherche séquentiel explicatif. Les expériences et les opinions des patientes en obstétrique ont été recueillies par un questionnaire en ligne et par un entretien semi-structuré de suivi. Au total, 162 questionnaires ont été remplis et 17 entretiens ont eu lieu. Les thèmes de l'analyse qualitative portaient sur les inquiétudes liées à l'expérience d'accouchement, l'impact pour le partenaire et le manque de soutien post-partum pour l'allaitement et la santé mentale. Cette étude permet de comprendre l'impact de la pandémie sur les expériences de grossesse et les répercussions potentielles futures des restrictions et de l'isolement sur le bien-être pendant les crises de santé publique.

Studying Adherence to Reporting Standards in Kinesiology: A Post-publication Peer Review Brief Report.

To demonstrate how post-publication peer reviews-using journal article reporting standards-could improve the design and write-up of kinesiology research, the authors performed a post-publication peer review on one systematic literature review published in 2020. Two raters (1st & 2nd authors) critically appraised the case article between April and May 2021. The latest Journal Article Reporting Standards by the American Psychological Association relevant to the review were used: i.e., Table 1 (quantitative research standards) and Table 9 (research synthesis standards). A standard fully met was deemed satisfactory. Per Krippendorff's alpha-coefficient, inter-rater agreement was moderate for Table 1 (k-alpha = .57, raw-agreement = 72.2%) and poor for Table 9 (k-alpha = .09, raw-agreement = 53.6%). A 100% consensus was reached on all discrepancies. Results suggest the case article's Abstract, Methods, and Discussion sections required clarification or more detail. Per Table 9 standards, four sections were largely incomplete: i.e., Abstract (100%-incomplete), Introduction (66%-incomplete), Methods (75%-incomplete), and Discussion (66%-incomplete). Case article strengths included tabular summary of studies analyzed in the systematic review and a cautionary comment about the review's generalizability. The article's write-up gave detail to help the reader understand the scope of the study and decisions made by the authors. However, adequate detail was not provided to assess the credibility of all claims made in the article. This could affect readers' ability to obtain critical and nuanced understanding of the article's topics. The results of this critique should encourage (continuing) education on journal article reporting standards for diverse stakeholders (e.g., authors, reviewers).

Improving the Quality of Operative Notes in Vascular Surgery: A Retrospective Analysis.

Background and objective Missing information or mistakes in patients' medical records, including those related to intraoperative and postoperative information, in an operative note can have profound clinical, ethical, and medicolegal implications. Operative notes should be informative, clear, and inclusive of the necessary data and should be collated immediately following surgery. In this study, we aimed to determine the ways to improve the quality of operative notes in the field of vascular surgery. Methods In this retrospective analysis, we compared the operative notes of 32 patients in the Department of Vascular and Endovascular Surgery, University Hospital Galway, against the standard set by the Royal College of Surgeons in Ireland (RCSI) (Code of Practice for Surgeons RCSI, 2018) and presented the results to our departmental staff. To facilitate an improvement in the quality of operative notes, a structured poster checklist was designed and displayed in the operating theatre. Furthermore, a scanner was set up in the operating theatre with clear and easy-to-follow instructions for uploading the operative notes into our hospital's online and digital patient record system (EVOLVE). An explanatory video was circulated among the staff. Three months after the first cycle, two further retrospective cycles were performed. Results A total of 96 patients' operative notes were analysed. Following the intervention, a significant improvement in documentation was noted concerning the dates; procedures followed; as well as the details of surgeons, assistants, anesthetists, incisions, surgery types, operative diagnoses, complications, additional procedures, tissue details, prostheses involved, closure techniques, postoperative plans, and surgeons' signatures. We also observed a significant increase in the uploading of the operative notes in the EVOLVE system. Conclusions The quality of the operative notes improved considerably after staff education, poster display, and scanner installment in the operating theatre. It is important to have an efficient and well-structured plan to improve the process of operative note-keeping, thereby ultimately enhancing overall patient care.

Automated HEART score determination via ChatGPT: Honing a framework for iterative prompt development.

Objectives: This study presents a design framework to enhance the accuracy by which large language models (LLMs), like ChatGPT can extract insights from clinical notes. We highlight this framework via prompt refinement for the automated determination of HEART (History, ECG, Age, Risk factors, Troponin risk algorithm) scores in chest pain evaluation. Methods: We developed a pipeline for LLM prompt testing, employing stochastic repeat testing and quantifying response errors relative to physician assessment. We evaluated the pipeline for automated HEART score determination across a limited set of 24 synthetic clinical notes representing four simulated patients. To assess whether iterative prompt design could improve the LLMs' ability to extract complex clinical concepts and apply rule-based logic to translate them to HEART subscores, we monitored diagnostic performance during prompt iteration. Results: Validation included three iterative rounds of prompt improvement for three HEART subscores with 25 repeat trials totaling 1200 queries each for GPT-3.5 and GPT-4. For both LLM models, from initial to final prompt design, there was a decrease in the rate of responses with erroneous, non-numerical subscore answers. Accuracy of numerical responses for HEART subscores (discrete 0-2 point scale) improved for GPT-4 from the initial to final prompt iteration, decreasing from a mean error of 0.16-0.10 (95% confidence interval: 0.07-0.14) points. Conclusion: We established a framework for iterative prompt design in the clinical space. Although the results indicate potential for integrating LLMs in structured clinical note analysis, translation to real, large-scale clinical data with appropriate data privacy safeguards is needed.

An improved laparoscopic choledochojejunostomy technique (with video).

TECHNIQUE: Choledochojejunostomy is an important procedure in hepatobiliary pancreatic surgery. It is used in pancreaticoduodenectomy, biliary strictures, liver transplantation, and other surgical reconstructions involving bile duct resection. Safe and reliable anastomosis under laparoscopic guidance is important for good postoperative recoveries. There are some difficulties owing to the limited angle of laparoscopic instruments. Standardized anastomosis methods are currently lacking, especially for cases with thin bile duct walls and small diameters. We modified the traditional laparoscopic choledochojejunostomy by combining the advantages of interrupted and continuous sutures using continuous sutures of the posterior and anterior walls followed by intermittent knot-tying of the anterior walls. The technical aspects of this anastomosis method and the related experiences of high-volume centers are summarized. RESULTS: An experienced laparoscopic surgeon can safely perform laparoscopic choledochojejunostomy by following a programmed anastomosis procedure. CONCLUSIONS: This modified anastomotic technique simplifies the procedure, reduces the difficulty of laparoscopic anastomosis, and yields satisfactory results. Larger-scale studies are necessary to validate whether it can definitively reduce complications and enhance outcomes.

The auricula as a new surgical landmark for the transverse-sigmoid-sinus-transition.

Introduction: The transverse-sigmoid-sinus-transition constitutes an important landmark during a retrosigmoid craniotomy. Due to anatomical variations, the location is highly variable. Landmarks for identification of the anterior border of the sigmoid sinus have been described extensively, such as the mastoid notch, digastric point, external auditory meatus and crux of the helix curvature. There is a paucity of landmarks for the identification of the posterior border, however. Research question: We examined the relationship between the transverse-sigmoid-sinus-transition and the most-posterior-part-of-the-auricula. Material and methods: We performed a retrospective analysis of one-hundred patients (38 males and 62 females) who underwent cerebral MRI examinations at Antwerp University Hospital (Belgium). Using Brainlab®, the transverse-sigmoid-sinus-transition and most-posterior-part-of-the-auricula coordinates were calculated and compared. Left and right sides were compared in both the anteroposterior and craniocaudal axis. Results: Mean age was 56.4 ± 16.1 years. Mean MPPA-TSST-distance in the anteroposterior direction was -1.93 mm (right) and -1.96 mm (left). Mean MPPA-TSST-distance in the craniocaudal direction was -5.16 mm (right) and -5.04 mm (left). Discussion and conclusion: The transverse-sigmoid-sinus-transition seems to be located more anterior and caudal with respect to the most-posterior-part-of-the-auricula, meaning that it can be considered a save landmark. A correction of five mm needs to be applied in order to identify the inferior border of the transverse sinus. Left/right and gender had no significant influence. The most-posterior-part-of-the-auricula can be considered a fast and practical anatomical landmark for identification of the transverse-sigmoid-sinus-transition, without affecting operative fluency, especially during an emergency craniotomy.

The effects of a training package to teach note taking on the formation of equivalence classes.

Effective note taking may enhance learning outcomes for students and serve as a directly observable form of mediation within a test context. Frampton et al. (2023) used stimulus fading to teach note taking in the form of a graphic organizer (GO) during matching-to-sample baseline relations training (MTS-BRT). Moderately high yields were observed with young adults despite the use of linear series training, abstract stimuli, and five-member classes. The present study taught the same note taking strategy using an intervention package including video illustration, voice-over instructions, and feedback to eight college students. Participants were taught to construct the GO during MTS-BRT with three three-member classes of familiar stimuli. Then the effects of MTS-BRT alone with three five-member classes of abstract stimuli was evaluated. Participants efficiently completed training with familiar stimuli and passed the posttest on the first attempt. With the abstract stimuli, participants engaged in GO construction during MTS-BRT and the six participants that demonstrated high levels of fidelity to the trained note taking strategy passed the posttest on the first attempt. These results replicate findings from Frampton et al. while using a more efficient intervention package. Benefits of teaching overt mediation responses are discussed as well as future directions for translation to applied contexts.

Note-taking by university students on paper or a computer: Strategies during initial note-taking and revision.

BACKGROUND: Taking notes during learning has benefits both during class (through writing things down to encode information) and after class (by using written notes as external storage for revision). Comparisons of note-taking methods (i.e., using paper or a computer) have mainly shown that paper leads to better learning. However, previous studies have mostly been conducted in laboratory contexts. AIMS: The current study investigates university students' perceptions of the efficacity of their own preferred note-taking method, along with the strategies they employ. SAMPLE: Data were collected from 108 university students. METHODS: Students answered a questionnaire about their note-taking strategies during initial note-taking (in class) and revision (after class). RESULTS: The results show that students who take notes on paper do not consider their method to be more effective, but they report engaging in more reformulation and less multitasking. Students who take notes on a computer are more likely to reformat their notes, and thus to reformulate at a later stage. For all students, review sheets are mostly done on paper. CONCLUSIONS: These results suggest that although students are not necessarily aware of the benefits of reformulation associated with handwriting on paper during initial note-taking, when revising, they tend to choose handwriting and benefit from reformulation when aiming for deeper processing. Therefore, revision activities remain mainly paper-based.

An Exploratory Study in the Portuguese Population on Writing a Suicide Note: Correlates in the Suicide Spectrum and Qualitative Analysis.

Suicide notes are an important warning sign for suicidal behaviors. The aim of this exploratory research is (a) to contribute to understanding the place of suicide notes in the spectrum of suicidal behaviors in Portugal, and (b) to analyze the content remembered by individuals regarding a suicide note. Two complementary studies were carried out. In the first, a quantitative investigation, the statistical relationship of writing a suicide note: To the occurrence of lifetime suicide attempts, to lifetime self-harming behaviors, and to suicidal ideation in the two weeks prior to the assessment was evaluated. In the second study, a qualitative investigation, the content recalled by individuals regarding a suicide note was analyzed. In the quantitative study, 841 adults aged between 18 and 65 years, and 1,012 young adults participated. In the qualitative study, 18 young adults participated. Findings of the quantitative study reveal that writing a suicide note significantly related to the lifetime presence of a suicide attempt and to self-harming behaviors and to suicidal ideation in the two weeks prior to the assessment. Findings of the qualitative study suggest that individuals who have written suicide notes exhibit a significant self-oriented focus, yet they also demonstrate a strong sense of concern for the survivors.

An Exploratory Study in the Portuguese Population on Writing a Suicide Note: Correlates in the Suicide Spectrum and Qualitative Analysis

Suicide notes are an important warning sign for suicidal behaviors. The aim of this exploratory research is (a) to contribute to understanding the place of suicide notes in the spectrum of suicidal behaviors in Portugal, and (b) to analyze the content remembered by individuals regarding a suicide note. Two complementary studies were carried out. In the first, a quantitative investigation, the statistical relationship of writing a suicide note: To the occurrence of lifetime suicide attempts, to lifetime self-harming behaviors, and to suicidal ideation in the two weeks prior to the assessment was evaluated. In the second study, a qualitative investigation, the content recalled by individuals regarding a suicide note was analyzed. In the quantitative study, 841 adults aged between 18 and 65 years, and 1,012 young adults participated. In the qualitative study, 18 young adults participated. Findings of the quantitative study reveal that writing a suicide note significantly related to the lifetime presence of a suicide attempt and to self-harming behaviors and to suicidal ideation in the two weeks prior to the assessment. Findings of the qualitative study suggest that individuals who have written suicide notes exhibit a significant self-oriented focus, yet they also demonstrate a strong sense of concern for the survivors. (AU)

Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study.

BACKGROUND: Assessment of activities of daily living (ADLs) and instrumental ADLs (iADLs) is key to determining the severity of dementia and care needs among older adults. However, such information is often only documented in free-text clinical notes within the electronic health record and can be challenging to find. OBJECTIVE: This study aims to develop and validate machine learning models to determine the status of ADL and iADL impairments based on clinical notes. METHODS: This cross-sectional study leveraged electronic health record clinical notes from Mass General Brigham's Research Patient Data Repository linked with Medicare fee-for-service claims data from 2007 to 2017 to identify individuals aged 65 years or older with at least 1 diagnosis of dementia. Notes for encounters both 180 days before and after the first date of dementia diagnosis were randomly sampled. Models were trained and validated using note sentences filtered by expert-curated keywords (filtered cohort) and further evaluated using unfiltered sentences (unfiltered cohort). The model's performance was compared using area under the receiver operating characteristic curve and area under the precision-recall curve (AUPRC). RESULTS: The study included 10,000 key-term-filtered sentences representing 441 people (n=283, 64.2% women; mean age 82.7, SD 7.9 years) and 1000 unfiltered sentences representing 80 people (n=56, 70% women; mean age 82.8, SD 7.5 years). Area under the receiver operating characteristic curve was high for the best-performing ADL and iADL models on both cohorts (>0.97). For ADL impairment identification, the random forest model achieved the best AUPRC (0.89, 95% CI 0.86-0.91) on the filtered cohort; the support vector machine model achieved the highest AUPRC (0.82, 95% CI 0.75-0.89) for the unfiltered cohort. For iADL impairment, the Bio+Clinical bidirectional encoder representations from transformers (BERT) model had the highest AUPRC (filtered: 0.76, 95% CI 0.68-0.82; unfiltered: 0.58, 95% CI 0.001-1.0). Compared with a keyword-search approach on the unfiltered cohort, machine learning reduced false-positive rates from 4.5% to 0.2% for ADL and 1.8% to 0.1% for iADL. CONCLUSIONS: In this study, we demonstrated the ability of machine learning models to accurately identify ADL and iADL impairment based on free-text clinical notes, which could be useful in determining the severity of dementia.

Secondary and tertiary transfer of latent fingermarks using a sticky note - A feasibility study.

Latent fingermarks are enhanced in order to be visible and available for comparison to determine source. Once a fingermark has been identified to a source, the activity that led to it being left on a particular surface may need to be determined. It has been previously shown that under certain conditions fingermarks initially deposited onto a surface (the primary transfer) can be transferred on to another substrate through direct contact - secondary transfer. This study investigates the possibility of secondary and subsequent tertiary transfer using sticky notes. To explore secondary transfer, fingermarks were deposited directly onto two different brands of sticky notes, spanning the adhesive and non-adhesive areas, and then placed in direct contact with paper for up to 72 h under a 5 kg weight. For some donors, there was transfer of fingermarks from the sticky note to the paper, with better results for the adhesive areas. The quality of the transferred fingermarks was dependent on initial fingermark quality and the transferred fingermark was a mirror image of the original. The type of paper used as the secondary substrate was also shown to have an effect. Given the adhesive nature of sticky notes tertiary transfer was also investigated and the potential to lift fingermarks from a glass slide and transfer them onto paper or a second glass slide. In the case of transfer to paper, there were only tertiary transferred fingermarks considered to be of useful quality (score 3 or 4) in 6% of samples and a further 33% of samples were detected but provided evidence of contact only (score 1 or 2) (n = 120). For transfer to glass, tertiary transferred samples were of poorer quality with no useful fingermarks and only 3% of samples scoring 1 or 2 (n = 120). The latter was in part due to the deposition of sticky note adhesive traces obscuring the fingermarks. In the case of tertiary transfer, fingermarks on the final tertiary surface were in the correct orientation. This work demonstrates that whilst tertiary transfer of fingermarks is possible under the laboratory conditions used, the likelihood of the effective transfer of a useful and potentially identifiable fingermark is in reality low.

Fin whale song evolution in the North Atlantic.

Animal songs can change within and between populations as the result of different evolutionary processes. When these processes include cultural transmission, the social learning of information or behaviours from conspecifics, songs can undergo rapid evolutions because cultural novelties can emerge more frequently than genetic mutations. Understanding these song variations over large temporal and spatial scales can provide insights into the patterns, drivers and limits of song evolution that can ultimately inform on the species' capacity to adapt to rapidly changing acoustic environments. Here, we analysed changes in fin whale (Balaenoptera physalus) songs recorded over two decades across the central and eastern North Atlantic Ocean. We document a rapid replacement of song INIs (inter-note intervals) over just four singing seasons, that co-occurred with hybrid songs (with both INIs), and a clear geographic gradient in the occurrence of different song INIs during the transition period. We also found gradual changes in INIs and note frequencies over more than a decade with fin whales adopting song changes. These results provide evidence of vocal learning in fin whales and reveal patterns of song evolution that raise questions on the limits of song variation in this species.

Assessment of manual operation note documentation practice: a cross-sectional study.

Background: Operation note documentation captures the key findings and subtle elements of a surgical strategy and is crucial for patient safety. Poor operation note documentation can negatively influence postoperative patient care. This study aimed to assess manual operation note documentation practice. Methods: An institutional-based, cross-sectional study was conducted from 30 March to 30 April 2022, on 240 operation notes of patient data. Data were entered and analyzed by SPSS version 20. According to the RCSE, the Royal College of Surgeons of England, the practice of operation note documentation was rated excellent for each variable when it met 100%, good if it met more than 50%, and poor if it met less than 50% of the operation notes of patient data. Results: All operation notes (n=240) were handwritten. The practice of manual operation note documentation was deemed excellent in two (7.69%), good in 18 (69.2%), and poor in six (23.1%). Residents wrote 84.2% of the operation notes and surgeons and assistants were identified in greater than 94% of the notes, while anesthesia team members were identified in 90.8%. Estimated blood loss was documented in 4.2% of the notes, and the closure technique was described in 64.2%. The operation note templates did not include antibiotic prophylaxis, runner nurse name, or gauze and instrument counts. The urgency of the surgery and time of documentation had a negative relationship, and the seniority of the operation note writer had a positive relationship with manual operative note documentation practice. Conclusions and recommendations: Compared to the standard, all operation note documentation was incomplete and below the standard. We recommend that this comprehensive and specialized hospital administrator implement a new format for operation notes that incorporates RCSE requirements.

Proposal of three novel insect-associated Commensalibacter species: Commensalibacter melissae sp. nov., Commensalibacter communis sp. nov. and Commensalibacter papalotli sp. nov.

A recent modification of the Note to Rule 25a of the International Code for Nomenclature of Bacteria is used a posteriori by the List Editors of the International Journal of Systematic and Evolutionary Microbiology to justify the refusal to validate species protologues published in supplementary material prior to this formal decision. Authors are therefore forced to ask permission to reuse published data for the valid publication of such names. In the present letter we re-publish the species protologues of Commensalibacter melissae sp. nov., Commensalibacter communis sp. nov. and Commensalibacter papalotli sp. nov.

Vocal Fatigue Experiences and Mitigation Strategies in the Sacred Harp Singing Community.

OBJECTIVES: Sacred Harp singers sing at a high volume for sustained periods of time without collective warm-up or cool-down exercises, ostensibly putting them at elevated risk for vocal fatigue (VF) and associated vocal pathologies. Participants are also likely to lack formal vocal training. The purpose of this study was to (1) assess singers' experiences with VF, (2) document singers' strategies for mitigating VF, and (3) determine whether vocal training was associated with decreased vocal difficulties. STUDY DESIGN: Self-reporting via online questionnaire containing quantitative and qualitative items. METHODS: This study employed an online questionnaire that combined demographic items, open-ended questions, and the Evaluation of the Ability to Sing Easily (EASE). Participants were recruited at one in-person event and via social media and a mailing list. RESULTS: This study returned 134 valid responses. Singers with formal choral experience scored lower on the EASE and two subscales, but length of experience had no impact. There were no correlations between vocal training and EASE scores. Women scored higher on the EASE than men and nonbinary individuals, while age, length of experience with Sacred Harp singing, and frequency of attendance at annual singing events were all negatively correlated with EASE score. Singers reported a wide range of mitigation strategies, most of which are unique to the Sacred Harp context. CONCLUSIONS: Sacred Harp singers do not appear to struggle more with VF than other populations of singers. However, a few characteristics of their practice put them at risk, and many singers would benefit from professional guidance concerning vocal health.

Uncovering Variations in Clinical Notes for NLP Modeling.

Clinical text contains rich patient information and has attracted much research interest in applying Natural Language Processing (NLP) tools to model it. In this study, we quantified and analyzed the textual characteristics of five common clinical note types using multiple measurements, including lexical-level features, semantic content, and grammaticality. We found there exist significant linguistic variations in different clinical note types, while some types tend to be more similar than others.