A faculty-led resident strike team as a force expander during disaster.

The emergence of the coronavirus disease 2019 (COVID-19) pandemic produced an unprecedented strain on the United States medical system. Prior to the pandemic, there was an estimated 20,000 physician shortage. This has been further stressed by physicians falling ill and the increased acuity of the COVID-19 patients. Federal medical team availability was stretched to its capabilities with the large numbers of deployments. With such severe staffing shortages, creative ways of force expansion were undertaken. New Orleans, Louisiana, was one of the hardest hit areas early in the pandemic. As the case counts built, a call was put out for help. The Louisiana State University (LSU) system responded with a faculty-led resident strike team out of the LSU Health Shreveport Academic Medical Center. Residents and faculty alike volunteered, forming a multispecialty, attending-led medical strike team of approximately 10 physicians. Administrative aspects such as institution-specific credentialing, malpractice coverage, resident distribution, attending physician oversight, among other aspects were addressed, managed, and agreed upon between the LSU Health Shreveport and the New Orleans hospital institutions and leadership prior to deployment in April 2020. In New Orleans, the residents managed patients within the departments of emergency medicine, medical floor, and intensive care unit (ICU). The residents assigned to the medical floor became a new hospitalist service team. The diversity of specialties allowed the team to address patient care in a multidisciplinary manner, leading to comprehensive patient care plans and unhindered team dynamic and workflow. During the first week alone, the team admitted and cared for over 100 patients combined from the medical floor and ICU. In a disaster situation compounded by staff shortages, a resident strike team is a beneficial solution for force expansion. This article qualitatively reviews the first published incidence of a faculty-led multispecialty resident strike team being used as a force expander in a disaster.

Changes in Residency Applicant Cancellation Patterns with Virtual Interviews: A Single-site Analysis.

Background: Residency programs transitioned to primarily virtual interviews due to the COVID-19 pandemic. This shift raised questions regarding expectations and patterns of applicant cancellation timeliness. The purpose of this study was to examine changes in applicant cancellations after transitioning to virtual interviews. Methods: This was a retrospective cohort study of interview data from a three-year emergency medicine residency at a tertiary-care academic medical center. Using archived data from Interview Broker, we examined scheduling patterns between one in-person (2019-2020) and two virtual interview cohorts (2020-2021 and 2021-2022). Our outcomes were the overall cancellation rates relative to interview slots as well as the proportion of cancellations that occurred within 7 or 14 days of the interview date. Results: There were 453 interview slots and 568 applicants invited. Overall, applicants canceled 17.1% of scheduled interviews. Compared with in-person interviews, applicants canceled significantly fewer virtual interviews (in person: 40/128 (31.3%), virtual year 1: 22/178 (12.4%), virtual year 2: 15/143 (10.5%), P = 0.001). Conversely, applicants canceled significantly more virtual interviews within both the 14-day threshold (in person: 8/40 (20%), virtual year 1: 12/22 (55.5%), virtual year 2: 12/15 (80%), P < 0.001) and the 7-day threshold (in person: 0/40 (0%), virtual year 1: 3/22 (13.6%), virtual year 2: 4/15 (26.7%), P = 0.004). Conclusion: While limited, at our site, changing to a virtual interview format correlated with fewer cancellations overall. The proportion of cancellations within 14 days was much higher during virtual interview seasons, with most cancellations occurring during that time frame. Additional studies are needed to determine the effects of cancellation patterns on emergency medicine recruitment.

Exploring the stability of the gender gap in faculty perceptions of gender climate at a rural regional university.

Increasing awareness of gender barriers and biases in academic institutions is an essential component of institutional change strategies to promote equity and inclusion. There is an established perception gap in recognizing gender inequities in the workplace, whereby men faculty under acknowledge the stressors, barriers, and biases faced by their women faculty colleagues. This study explored the gender gap in faculty perceptions of institutional diversity climate at a rural comprehensive regional university in the United States. In addition to gender, differences across academic discipline and time were explored using 2 (men and women) x 2 (STEM and other) x 2 (2017 and 2022) between-groups ANOVAs. Results revealed a gender gap that persisted across time and perceptions of stressors, diversity climate, student behavior, leadership, and fairness in promotion/tenure procedures, with marginalized (women) faculty consistently reporting greater barriers/concern for women faculty relative to the perceptions of their men faculty colleagues. These findings are largely consistent with the extant literature and are discussed both with regard to future research directions and recommendations for reducing the perception gap and addressing institutional barriers to gender equity.

The importance of creating the right conditions for group intervision sessions among medical residents- a qualitative study.

BACKGROUND: The burnout rates among residents urge for adequate interventions to improve resilience and prevent burnout. Peer reflection, also called group intervision sessions, is a potentially successful intervention to increase the resilience of young doctors. We aimed to gain insight into the perceived added value of intervision sessions and the prerequisite conditions to achieve this, according to residents and intervisors. Our insights might be of help to those who think of implementing intervision sessions in their institution. METHODS: An explorative, qualitative study was performed using focus groups and semi-structured interviews with both residents (n = 8) and intervisors (n = 6) who participated in intervision sessions in a university medical center in the Netherlands. The topic list included the perceived added value of intervision sessions and factors contributing to that. The interviews were transcribed verbatim and coded using NVivo. Thematic analysis was subsequently performed. RESULTS: According to residents and intervisors, intervision sessions contributed to personal and professional identity development; improving collegiality; and preventing burn-out. Whether these added values were experienced, depended on: (1) choices made during preparation (intervisor choice, organizational prerequisites, group composition, workload); (2) conditions of the intervision sessions (safety, depth, role of intervisor, group dynamics, pre-existent development); and (3) the hospital climate. CONCLUSIONS: Intervision sessions are perceived to be of added value to the identity development of medical residents and to prevent becoming burned out. This article gives insight in conditions necessary to reach the added value of intervision sessions. Optimizing preparation, meeting prerequisite conditions, and establishing a stimulating hospital climate are regarded as key to achieve this.

Asking the generalist - evaluation of a General Practice rounding and consult service.

BACKGROUND: Vascular surgery patients admitted to the hospital are often multimorbid. In case of questions regarding chronic medical problems different specialties are consulted, which leads to a high number of treating physicians and possibly contradicting recommendations. The General Practitioner´s (GP) view could minimize this problem. However, it is unknown for which medical problems a GP would be consulted and if regular GP-involvement during rounds would be considered helpful by the specialists. The aim of this study was to establish and describe a General Practice rounding service (GP-RS), to evaluate if the GP-RS is doable in a tertiary care hospital and beneficial to the specialists and to explore GP-consult indications. METHODS: The GP-RS was established as a pilot project. Between June-December 2020, a board-certified GP from the Department of General Practice and Primary Care, University Medical Center Hamburg-Eppendorf (UKE) joined the vascular surgery team (UKE) once-weekly on rounds. The project was evaluated using a multi-methods approach: semi-structured qualitative interviews were conducted with vascular surgery physicians that had either participated in the GP-RS (G1), had not participated (G2), other specialists usually conducting consults on the vascular surgery floor (G3) and with the involved GP (G4). Interviews were analyzed using Kuckartz' qualitative content analysis. In addition, two sets of quantitative data were descriptively analyzed focusing on the reasons for a GP-consult: one set from the GP-RS and one from an established, conventional "as needed" GP-consult service. RESULTS: 15 interviews were conducted. Physicians perceived the GP-RS as beneficial, especially for surgical patients (G1-3). Optimizing medication, avoiding unnecessary consults and a learning effect for physicians in training (G1-4) were named as other benefits. Critical voices saw an increased workload through the GP-RS (G1, G3) and some consult requests as too specific for a GP (G1-3). Based on data from 367 vascular surgery patients and 80 conventional GP-consults, the most common reasons for a GP-consult were cardiovascular diseases including hypertension and diabetes. CONCLUSIONS: A GP-RS is doable in a tertiary care hospital. Studies of GP co-management model with closer follow ups would be needed to objectively improve patient care and reduce the overall number of consults. TRIAL REGISTRATION: Not applicable.

Call me Ishmael: addressing the white whale of team communication in the operating room with labelled surgical caps at an academic medical centre.

INTRODUCTION: Effective communication in the operating room (OR) is crucial. Addressing a colleague by their name is respectful, humanising, entrusting and associated with improved clinical outcomes. We aimed to enhance team communication in the perioperative environment by offering personalised surgical caps labelled with name and provider role to all OR team members at a large academic medical centre. MATERIALS AND METHODS: This was a quasi-experimental, uncontrolled, before-and-after quality improvement study. A survey regarding perceptions of team communication, knowledge of names and roles, communication barriers, and culture was administered before and after cap delivery. Survey results were measured on a 5-point Likert Scale; descriptive statistics and mean scores were compared. All cause National Surgical Quality Improvement Project (NSQIP) morbidity and mortality outcomes for surgical specialties were examined. RESULTS: 1420 caps were delivered across the institution. Mean survey scores increased for knowing the names and roles of providers around the OR, feeling that people know my name and feeling comfortable communicating without barriers across disciplines. The mean score for team communication around the OR is excellent was unchanged. The highest score both before and after was knowing the name of an interdisciplinary team member is important for patient care. A total of 383 and 212 providers participated in the study before and after cap delivery, respectively. Participants agreed or strongly agreed that labelled surgical caps made it easier to talk to colleagues (64.9%) while improving communication (66.0%), team culture (60.5%) and patient care (56.8%). No significant differences were noted in NSQIP outcomes. CONCLUSIONS: Personalised labelled surgical caps are a simple, inexpensive tool that demonstrates promise in improving perioperative team communication. Creating highly reliable surgical teams with optimal communication channels requires a multifaceted approach with engaged leadership, empowered front-line providers and an institutional commitment to continuous process improvement.

Designing a Novel Digitally Delivered Antiracism Intervention for Mental Health Clinicians: Exploratory Analysis of Acceptability.

BACKGROUND: There is a great need for evidence-based antiracism interventions targeting mental health clinicians to help mitigate mental health disparities in racially and ethnically minoritized groups. OBJECTIVE: This study provides an exploratory analysis of mental health clinicians' perspectives on the acceptability of a web-based antiracism intervention. METHODS: Mental health clinicians were recruited from a single academic medical center through outreach emails. Data were collected through individual 30-minute semistructured remote video interviews with participants, then recorded, transcribed, and analyzed using content analysis. RESULTS: A total of 12 mental health clinicians completed the study; 10 out of 12 (83%) were female candidates. Over half (7/12, 58%) of the respondents desired more robust antiracism training in mental health care. Regarding the web-based antiracism intervention, (8/12, 67%) enjoyed the digitally delivered demo module, (7/12, 58%) of respondents suggested web-based content would be further enhanced with the addition of in-person or online group components. CONCLUSIONS: Our results suggest a strong need for additional antiracist training for mental health clinicians. Overall, participants responded favorably to novel web-based delivery methods for an antiracism intervention. These findings provide important support for future development and pilot testing of a large-scale digitally enhanced antiracist curriculum targeting mental health clinicians.

Selective Use of CT Fractional Flow at a Large Academic Medical Center: Insights from Clinical Implementation after 1 Year of Practice.

Purpose This special report outlines a retrospective observational study of CT fractional flow reserve (CT-FFR) analysis using dual-source coronary CT angiography (CTA) scans performed without heart rate control and its impact on clinical outcomes. Materials and Methods All patients who underwent clinically indicated coronary CTA between August 2020 and August 2021 were included in this retrospective observational study. Scans were performed in the late systolic to early diastolic period without heart rate control and analyzed at the interpreting physician's discretion. Demographics, coronary CTA features, and rates of invasive coronary angiography (ICA), percutaneous coronary intervention (PCI), myocardial infarction, and all-cause death at 3 months were assessed by chart review. Results During the study period, 3098 patients underwent coronary CTA, of whom 113 with coronary bypass grafting were excluded. Of the remaining 2985 patients, 292 (9.7%) were referred for CT-FFR analysis. Two studies (0.7%) were rejected from CT-FFR analysis, and six (2.1%) analyses did not evaluate the lesion of concern. A total of 160 patients (56.3%) had CT-FFR greater than 0.80. Among patients with significant stenosis at coronary CTA, patients who underwent CT-FFR analysis presented with lower rates of ICA (74.5% vs 25.5%, P = .04) and PCI (78.9% vs 21.1%, P = .05). Conclusion CT-FFR was implemented in patients not requiring heart rate control by using dual-source coronary CTA acquisition and showed the potential to decrease rates of ICA and PCI without compromising safety in patients with significant stenosis and an average heart rate of 65 beats per minute. Keywords: Angiography, CT, CT-Angiography, Fractional Flow Reserve, Cardiac, Heart, Arteriosclerosis Supplemental material is available for this article. © RSNA, 2024.

Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study.

BACKGROUND: Intensive care research has predominantly relied on conventional methods like randomized controlled trials. However, the increasing popularity of open-access, free databases in the past decade has opened new avenues for research, offering fresh insights. Leveraging machine learning (ML) techniques enables the analysis of trends in a vast number of studies. OBJECTIVE: This study aims to conduct a comprehensive bibliometric analysis using ML to compare trends and research topics in traditional intensive care unit (ICU) studies and those done with open-access databases (OADs). METHODS: We used ML for the analysis of publications in the Web of Science database in this study. Articles were categorized into "OAD" and "traditional intensive care" (TIC) studies. OAD studies were included in the Medical Information Mart for Intensive Care (MIMIC), eICU Collaborative Research Database (eICU-CRD), Amsterdam University Medical Centers Database (AmsterdamUMCdb), High Time Resolution ICU Dataset (HiRID), and Pediatric Intensive Care database. TIC studies included all other intensive care studies. Uniform manifold approximation and projection was used to visualize the corpus distribution. The BERTopic technique was used to generate 30 topic-unique identification numbers and to categorize topics into 22 topic families. RESULTS: A total of 227,893 records were extracted. After exclusions, 145,426 articles were identified as TIC and 1301 articles as OAD studies. TIC studies experienced exponential growth over the last 2 decades, culminating in a peak of 16,378 articles in 2021, while OAD studies demonstrated a consistent upsurge since 2018. Sepsis, ventilation-related research, and pediatric intensive care were the most frequently discussed topics. TIC studies exhibited broader coverage than OAD studies, suggesting a more extensive research scope. CONCLUSIONS: This study analyzed ICU research, providing valuable insights from a large number of publications. OAD studies complement TIC studies, focusing on predictive modeling, while TIC studies capture essential qualitative information. Integrating both approaches in a complementary manner is the future direction for ICU research. Additionally, natural language processing techniques offer a transformative alternative for literature review and bibliometric analysis.

Increasing and sustaining discharges by noon - a multi-year process improvement project.

High hospital occupancy degrades emergency department performance by increasing wait times, decreasing patient satisfaction, and increasing patient morbidity and mortality. Late discharges contribute to high hospital occupancy by increasing emergency department (ED) patient length of stay (LOS). We share our experience with increasing and sustaining early discharges at a 650-bed academic medical center in the United States. Our process improvement project followed the Institute of Medicine Model for Improvement of successive Plan‒Do‒Study‒Act cycles. We implemented multiple iterative interventions over 41 months. As a result, the proportion of discharge orders before 10 am increased from 8.7% at baseline to 22.2% (p < 0.001), and the proportion of discharges by noon (DBN) increased from 9.5% to 26.8% (p < 0.001). There was no increase in balancing metrics because of our interventions. RA-LOS (Risk Adjusted Length Of Stay) decreased from 1.16 to 1.09 (p = 0.01), RA-Mortality decreased from 0.65 to 0.61 (p = 0.62) and RA-Readmissions decreased from 0.92 to 0.74 (p < 0.001). Our study provides a roadmap to large academic facilities to increase and sustain the proportion of patients discharged by noon without negatively impacting LOS, 30-day readmissions, and mortality. Continuous performance evaluation, adaptability to changing resources, multidisciplinary engagement, and institutional buy-in were crucial drivers of our success.

Obesity Medicine Intervention at an Academic Medical Center in a Resource-Limited Population Shows Promise.

INTRODUCTION: Obesity disproportionately affects some non-White and low-socioeconomic-status Americans. Medical obesity treatment includes aggressive lifestyle interventions with medications when applicable. We evaluated a physician-led, resource-limited obesity medicine program. METHODS: This retrospective review included 98 adults with BMI >30 completing three or more obesity medicine physician visits, without bariatric surgery before or during Oct 2019-Feb 2022 at an academic medical center in Newark, N.J. Outcomes included changes in weight, HbA1c, blood pressure, and lipids. RESULTS: Sixty-eight percent (68%) of patients lost weight, with one-third losing 5% or more of total weight. Almost 30% (29.3%) gained and 2.4% maintained weight. Number of visits (p<.01) and GLP-1 receptor agonist use predicted weight loss (p<.05). Hemoglobin A1c decreased (p<.01); blood pressure and lipids did not. CONCLUSION: Our study shows that medical weight management programs can achieve meaningful weight loss, despite resource limitations. Patients using GLP-1 receptor agonists lost more weight compared with other agents, even on suboptimal doses.

Artificial Intelligence-Generated Draft Replies to Patient Inbox Messages.

Importance: The emergence and promise of generative artificial intelligence (AI) represent a turning point for health care. Rigorous evaluation of generative AI deployment in clinical practice is needed to inform strategic decision-making. Objective: To evaluate the implementation of a large language model used to draft responses to patient messages in the electronic inbox. Design, Setting, and Participants: A 5-week, prospective, single-group quality improvement study was conducted from July 10 through August 13, 2023, at a single academic medical center (Stanford Health Care). All attending physicians, advanced practice practitioners, clinic nurses, and clinical pharmacists from the Divisions of Primary Care and Gastroenterology and Hepatology were enrolled in the pilot. Intervention: Draft replies to patient portal messages generated by a Health Insurance Portability and Accountability Act-compliant electronic health record-integrated large language model. Main Outcomes and Measures: The primary outcome was AI-generated draft reply utilization as a percentage of total patient message replies. Secondary outcomes included changes in time measures and clinician experience as assessed by survey. Results: A total of 197 clinicians were enrolled in the pilot; 35 clinicians who were prepilot beta users, out of office, or not tied to a specific ambulatory clinic were excluded, leaving 162 clinicians included in the analysis. The survey analysis cohort consisted of 73 participants (45.1%) who completed both the presurvey and postsurvey. In gastroenterology and hepatology, there were 58 physicians and APPs and 10 nurses. In primary care, there were 83 physicians and APPs, 4 nurses, and 8 clinical pharmacists. The mean AI-generated draft response utilization rate across clinicians was 20%. There was no change in reply action time, write time, or read time between the prepilot and pilot periods. There were statistically significant reductions in the 4-item physician task load score derivative (mean [SD], 61.31 [17.23] presurvey vs 47.26 [17.11] postsurvey; paired difference, -13.87; 95% CI, -17.38 to -9.50; P < .001) and work exhaustion scores (mean [SD], 1.95 [0.79] presurvey vs 1.62 [0.68] postsurvey; paired difference, -0.33; 95% CI, -0.50 to -0.17; P < .001). Conclusions and Relevance: In this quality improvement study of an early implementation of generative AI, there was notable adoption, usability, and improvement in assessments of burden and burnout. There was no improvement in time. Further code-to-bedside testing is needed to guide future development and organizational strategy.

Food Insecurity Prevalence and Risk Factors at a Large Academic Medical Center in Michigan.

Importance: Health care systems are increasingly adopting methods to screen for and integrate food insecurity and other social risk factors into electronic health records. However, there remain knowledge gaps regarding the cumulative burden of food insecurity in large clinical settings, which patients are most at risk, and the extent to which patients are interested in social assistance through their health care system. Objective: To evaluate the 5-year prevalence and associated risk factors of food insecurity among adult primary care patients, and to examine factors associated with patients' interest in social assistance among those with food insecurity. Design, Setting, and Participants: This cross-sectional analysis of a retrospective cohort study took place at a tertiary care academic medical center (encompassing 20 primary care clinics) in Michigan. Participants included adult patients who completed screening for social risk factors between August 1, 2017, and August 1, 2022. Data analysis was performed from November 2022 to June 2023. Exposure: Food insecurity was assessed using the Hunger Vital Sign. Main Outcomes and Measures: The primary outcome was patients' interest in social assistance, and associated factors were examined using multivariate logistic regression models, adjusting for patients' demographic and health characteristics. Results: Over the 5-year period, 106 087 adult primary care patients (mean [SD] age, 52.9 [17.9] years; 61 343 women [57.8%]) completed the standardized social risk factors questionnaire and were included in the analysis. The overall prevalence of food insecurity was 4.2% (4498 patients), with monthly trends ranging from 1.5% (70 positive screens) in August 2018 to 5.0% (193 positive screens) in June 2022. Food insecurity was significantly higher among patients who were younger, female, non-Hispanic Black or Hispanic, unmarried or unpartnered, and with public health insurance. Food insecurity was significantly associated with a higher cumulative burden of social needs, including social isolation, medical care insecurity, medication nonadherence, housing instability, and lack of transportation. Only 20.6% of patients with food insecurity (927 patients) expressed interest in social assistance. Factors associated with interest in social assistance including being non-Hispanic Black, unmarried or unpartnered, a current smoker, and having a higher burden of other social needs. Conclusions and Relevance: In this retrospective cohort study, the overall prevalence of food insecurity was 4.2%, of whom approximately 1 in 5 patients with food insecurity expressed interest in assistance. This study highlights ongoing challenges in ensuring all patients complete routine social determinants of health screening and gaps in patients' interest in assistance for food insecurity and other social needs through their health care system.

Expanding Critical Care Delivery beyond the Intensive Care Unit: Determining the Design and Implementation Needs for a Tele-Critical Care Consultation Service.

BACKGROUND: Unplanned intensive care unit (ICU) admissions from medical/surgical floors and increased boarding times of ICU patients in the emergency department (ED) are common; approximately half of these are associated with adverse events. We explore the potential role of a tele-critical care consult service (TC3) in managing critically ill patients outside of the ICU and potentially preventing low-acuity unplanned admissions and also investigate its design and implementation needs. METHODS: We conducted a qualitative study involving general observations of the units, shadowing of clinicians during patient transfers, and interviews with clinicians from the ED, medical/surgical floor units and their ICU counterparts, tele-ICU, and the rapid response team at a large academic medical center in St. Louis, Missouri, United States. We used a hybrid thematic analysis approach supported by open and structured coding using the Consolidated Framework for Implementation Research (CFIR). RESULTS: Over 165 hours of observations/shadowing and 26 clinician interviews were conducted. Our findings suggest that a tele-critical care consult (TC3) service can prevent avoidable, lower acuity ICU admissions by offering a second set of eyes via remote monitoring and providing guidance to bedside and rapid response teams in the care delivery of these patients on the floor/ED. CFIR-informed enablers impacting the successful implementation of the TC3 service included the optional and on-demand features of the TC3 service, around-the-clock availability, and continuous access to trained critical care clinicians for avoidable lower acuity (ALA) patients outside of the ICU, familiarity with tele-ICU staff, and a willingness to try alternative patient risk mitigation strategies for ALA patients (suggested by TC3), before transferring all unplanned admissions to ICUs. Conversely, the CFIR-informed barriers to implementation included a desire to uphold physician autonomy by floor/ED clinicians, potential role conflicts with rapid response teams, additional workload for floor/ED nurses, concerns about obstructing unavoidable, higher acuity admissions, and discomfort with audio-visual tools. To amplify these potential enablers and mitigate potential barriers to TC3 implementation, informed by this study, we propose two key characteristics-essential for extending the delivery of critical care services beyond the ICU-underlying a telemedicine critical care consultation model including its virtual footprint and on-demand and optional service features. CONCLUSION: Tele-critical care represents an innovative strategy for delivering safe and high-quality critical care services to lower acuity borderline patients outside the ICU setting.

Medical educators' perception of race in clinical practice.

BACKGROUND: While several medical societies endorse race as a social construct, it is still often used as a biological trait in medical education. How medical educators employ race while teaching is likely impacted by their beliefs as to what race represents and its relevance in clinical care. Understanding these beliefs is necessary to guide medical education curriculum reform. METHODS: This was a qualitative survey study, conducted in June 2020, of Georgetown University Medical Center faculty. As part of the survey, faculty were asked to rate, on a 5-point Likert scale, the extent to which they perceived race as a biological trait and its importance in clinical care. Self-identified clinical or preclinical faculty (N = 147) who believed that race had any importance were asked to provide an example illustrating its significance. Free-text responses were coded using content analysis with an inductive approach and contextualized by faculty's perspectives on the biological significance of race. RESULTS: There were 130 (88%) responses categorized into two major themes: race is important for [1] screening, diagnosing, and treating diseases and [2] contextualizing patients' experiences and health behaviors. Compared to faculty who perceived race as biological, those who viewed race as strictly social were more likely to report using race to understand or acknowledge patients' exposure to racism. However, even among these faculty, explanations that suggested biological differences between racial groups were prevalent. CONCLUSIONS: Medical educators use race primarily to understand diseases and frequently described biological differences between racial groups. Efforts to reframe race as sociopolitical may require education that examines race through a global lens, accounting for the genetic and cultural variability that occurs within racial groups; greater awareness of the association between structural racism and health inequities; movement away from identity-based risk stratification; and incorporation of tools that appraise race-based medical literature.

Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation.

BACKGROUND: A real-time model for predicting short-term mortality in critically ill patients is needed to identify patients at imminent risk. However, the performance of the model needs to be validated in various clinical settings and ethnicities before its clinical application. In this study, we aim to develop an ensemble machine learning model using routinely measured clinical variables at a single academic institution in South Korea. METHODS: We developed an ensemble model using deep learning and light gradient boosting machine models. Internal validation was performed using the last two years of the internal cohort dataset, collected from a single academic hospital in South Korea between 2007 and 2021. External validation was performed using the full Medical Information Mart for Intensive Care (MIMIC), eICU-Collaborative Research Database (eICU-CRD), and Amsterdam University Medical Center database (AmsterdamUMCdb) data. The area under the receiver operating characteristic curve (AUROC) was calculated and compared to that for the National Early Warning Score (NEWS). RESULTS: The developed model (iMORS) demonstrated high predictive performance with an internal AUROC of 0.964 (95% confidence interval [CI] 0.963-0.965) and external AUROCs of 0.890 (95% CI 0.889-0.891) for MIMIC, 0.886 (95% CI 0.885-0.887) for eICU-CRD, and 0.870 (95% CI 0.868-0.873) for AmsterdamUMCdb. The model outperformed the NEWS with higher AUROCs in the internal and external validation (0.866 for the internal, 0.746 for MIMIC, 0.798 for eICU-CRD, and 0.819 for AmsterdamUMCdb; p < 0.001). CONCLUSIONS: Our real-time machine learning model to predict short-term mortality in critically ill patients showed excellent performance in both internal and external validations. This model could be a useful decision-support tool in the intensive care units to assist clinicians.

Use of business model potential in Dutch academic medical centres-A case study.

Academic Medical Centres (AMCs) are large organisations with a complex structure due to various intertwined missions and (public) roles that can be conflicting. This complexity makes it difficult to adapt to changing circumstances. The literature points to the use of business models to address such challenges. A business model describes the resources, processes, and cost assumptions that an organisation makes in order to the delivery of a unique value proposition to a customer/patient. Do AMC business operations managers actually use business models to address challenges and operate in a way that enables AMCs to adapt to changing circumstances? This study explored whether the use of a business model is a starting point for bringing about change in AMC operations. A case study design was considered appropriate to explore the knowledge and experience of business models among business operations managers of Dutch AMCs. Through purposive sampling, participants were invited to participate in a questionnaire to provide in-depth and detailed information about the use of business models in AMCs. Our research showed that a business model can support the complex organisation of an AMC, but the design and use of business models varies. In general, respondents attribute more potential to the use of a business model than they experience in daily practice. The majority consider a business model to be suitable for bringing about change, but see it only sparingly used in their own AMC. This is the first study to provide some initial insights into the use of business models in Dutch AMCs. We can assume that improvements are possible in order to optimise the change potential of business models in AMCs worldwide. In order to successfully implement an innovative business model, the interpretation of the concept of a business model and the creation of a framework of preconditions should be taken into account. Healthcare providers, policy makers or researchers should explicitly identify the environment in which the model will operate. In particular, by identifying the level of readiness for change readiness at all levels of the organisation.

Bibliometrics analysis based on the Web of Science: Current trends and perspective of gastric organoid during 2010-2023.

BACKGROUND: Three-dimensional organoid culture systems have been established as a robust tool for elucidating mechanisms and performing drug efficacy testing. The use of gastric organoid models holds significant promise for advancing personalized medicine research. However, a comprehensive bibliometric review of this bur-geoning field has not yet been published. AIM: To analyze and understand the development, impact, and direction of gastric organoid research using bibliometric methods using data from the Web of Science Core Collection (WoSCC) database. METHODS: This analysis encompassed literature pertaining to gastric organoids published between 2010 and 2023, as indexed in the WoSCC. CiteSpace and VOSviewer were used to depict network maps illustrating collaborations among authors, institutions and keywords related to gastric organoid. Citation, co-citation, and burst analysis methodologies were applied to assess the impact and progress of research. RESULTS: A total of 656 relevant studies were evaluated. The majority of research was published in gastroenterology-focused journals. Globally, Yana Zavros, Hans Clevers, James M Wells, Sina Bartfeld, and Chen Zheng were the 5 most productive authors, while Hans Clevers, Huch Meritxell, Johan H van Es, Marc Van de Wetering, and Sato Toshiro were the foremost influential scientists in this area. Institutions from the University Medical Center Utrecht, Netherlands Institute for Developmental Biology (Utrecht), and University of Cincinnati (Cincinnati, OH, United States) made the most significant contributions. Currently, gastric organoids are used mainly in studies investigating gastric cancer (GC), Helicobacter pylori-infective gastritis, with a focus on the mechanisms of GC, and drug screening tests. CONCLUSION: Key focus areas of research using gastric organoids include unraveling disease mechanisms and enhancing drug screening techniques. Major contributions from renowned academic institutions highlight this field's dynamic growth.

Burden and risk profile of acute kidney injury in severe COVID-19 pneumonia admissions: a Finding from Jimma University medical center, Ethiopia.

BACKGROUND: Acute kidney injury (AKI) is a serious complication of the Corona Virus Disease of 2019 (COVID-19). However, data on its magnitude and risk factors among hospitalized patients in Ethiopia is limited. This study aimed to determine the magnitude of AKI and associated factors among patients admitted for severe COVID-19 pneumonia. METHODS: An institution-based retrospective cross-sectional study was conducted among 224 patients admitted to Jimma University Medical Center in Ethiopia for severe COVID-19 pneumonia from May 2020 to December 2021. Systematic random sampling was used to select study participants. Medical records were reviewed to extract sociodemographic, clinical, laboratory, therapeutic, and comorbidity data. Bivariable and multivariable logistic regressions were performed to examine factors associated with AKI. The magnitude of the association between the explanatory variables and AKI was estimated using an adjusted odds ratio (AOR) with a 95% confidence interval (CI), and significance was declared at a p-value of 0.05. RESULTS: The magnitude of AKI was 42% (95% CI: 35.3-48.2%) in the study area. Mechanical ventilation, vasopressors, and antibiotics were required in 32.6, 3.7, and 97.7% of the patients, respectively. After adjusting for possible confounders, male sex (AOR 2.79, 95% CI: 1.3-6.5), fever (AOR 6.5, 95% CI: 2.7-15.6), hypoxemia (AOR 5.1, 95% CI: 1.4-18.9), comorbidities (AOR 2.8, 95% CI: 1.1-7.0), and severe anemia (AOR 10, 95% CI: 1.7-65.7) remained significantly associated with higher odds of AKI. CONCLUSION: The burden of AKI among patients with severe COVID-19 pneumonia is high in our setting. Male sex, abnormal vital signs, chronic conditions, and anemia can identify individuals at increased risk and require close monitoring and prevention efforts.

Video Laryngoscopy vs Direct Laryngoscopy for Endotracheal Intubation in the Operating Room: A Cluster Randomized Clinical Trial.

Importance: Endotracheal tubes are typically inserted in the operating room using direct laryngoscopy. Video laryngoscopy has been reported to improve airway visualization; however, whether improved visualization reduces intubation attempts in surgical patients is unclear. Objective: To determine whether the number of intubation attempts per surgical procedure is lower when initial laryngoscopy is performed using video laryngoscopy or direct laryngoscopy. Design, Setting, and Participants: Cluster randomized multiple crossover clinical trial conducted at a single US academic hospital. Patients were adults aged 18 years or older having elective or emergent cardiac, thoracic, or vascular surgical procedures who required single-lumen endotracheal intubation for general anesthesia. Patients were enrolled from March 30, 2021, to December 31, 2022. Data analysis was based on intention to treat. Interventions: Two sets of 11 operating rooms were randomized on a 1-week basis to perform hyperangulated video laryngoscopy or direct laryngoscopy for the initial intubation attempt. Main Outcomes and Measures: The primary outcome was the number of operating room intubation attempts per surgical procedure. Secondary outcomes were intubation failure, defined as the responsible clinician switching to an alternative laryngoscopy device for any reason at any time, or by more than 3 intubation attempts, and a composite of airway and dental injuries. Results: Among 8429 surgical procedures in 7736 patients, the median patient age was 66 (IQR, 56-73) years, 35% (2950) were women, and 85% (7135) had elective surgical procedures. More than 1 intubation attempt was required in 77 of 4413 surgical procedures (1.7%) randomized to receive video laryngoscopy vs 306 of 4016 surgical procedures (7.6%) randomized to receive direct laryngoscopy, with an estimated proportional odds ratio for the number of intubation attempts of 0.20 (95% CI, 0.14-0.28; P < .001). Intubation failure occurred in 12 of 4413 surgical procedures (0.27%) using video laryngoscopy vs 161 of 4016 surgical procedures (4.0%) using direct laryngoscopy (relative risk, 0.06; 95% CI, 0.03-0.14; P < .001) with an unadjusted absolute risk difference of -3.7% (95% CI, -4.4% to -3.2%). Airway and dental injuries did not differ significantly between video laryngoscopy (41 injuries [0.93%]) vs direct laryngoscopy (42 injuries [1.1%]). Conclusion and Relevance: In this study among adults having surgical procedures who required single-lumen endotracheal intubation for general anesthesia, hyperangulated video laryngoscopy decreased the number of attempts needed to achieve endotracheal intubation compared with direct laryngoscopy at a single academic medical center in the US. Results suggest that video laryngoscopy may be a preferable approach for intubating patients undergoing surgical procedures. Trial Registration: ClinicalTrials.gov Identifier: NCT04701762.