Arshad, Zara

Background Documentation burden contributes significantly to psychiatric clinician burnout, with psychiatrists spending an average of three hours per workday on administrative tasks rather than direct patient care. While quantitative studies demonstrate that ambient artificial intelligence (AI) scribes reduce workload and improve documentation quality, the experiential perspectives of clinicians and standardized patients (SPs) remain unexplored, particularly in psychiatry where the therapeutic relationship is central to practice. Our aims were to explore clinician and standardized simulated patient perspectives on ambient AI scribes in psychiatric consultations, examining experiences, concerns, and conditions for successful implementation. Methods This study was part of a cross-sectional quantitative simulation study, where qualitative part was planned a-priori. We conducted focus groups with psychiatrists and SPs following a simulation-based crossover study comparing traditional versus AI-assisted documentation. Data were analyzed using Braun and Clarke’s reflexive thematic analysis framework. Results In this focus group session with eight psychiatrists and four SPs, total six themes were identified: (1) Clinical Presence, whereby reduced documentation barriers were perceived to allow more authentic human connection; (2) Liberation from documentation burden, with clinicians describing cognitive and emotional relief beneficial for their mental health; (3) Clinical Competence Amplified, in which clinicians perceived the AI scribe as enhancing practice through intelligent translation to psychiatric terminology and prompting for missed assessments; (4) Calibrating Trust, where participants navigated initial uncertainty while recognizing the importance of human oversight; (5) Privacy, stigma, and psychiatric exceptionalism, highlighting unique consent and confidentiality considerations for psychiatric populations; and (6) Perceptions of an enhanced standard of care, with both groups expressing strong preference for AI-assisted consultations with conditions for adoption. Conclusion In this exploratory simulation-based qualitative study, AI scribes were perceived as having potential to support more present, patient-centered psychiatric consultations by reducing documentation burden. Implementation should be cautious and requires transparent consent processes, clinician training in behavioral adaptations, robust human oversight, specialty-specific templates, and real-world evaluation with patients receiving psychiatric care.

e20041 Background: Paraneoplastic syndromes (PNS) are caused by underlying malignancy but not due to metastasis, or treatment related side effects. Studies are lacking which target PNS seen in non small cell lung cancer (NSCLC) Methods: Systematic search of PubMed & Scopus was conducted to include all case reports & case series of adult NSCLC patients with PNS, published globally from inception upto July 7, 2024. Patient demographics, geographical distribution, NSCLC histology, clinical manifestations, diagnosis, treatment was extracted. Quality was assessed by JBI's critical appraisal checklist. Results: 138 publications (136 case reports, 2 case series) describing 142 patients published in 30 countries were included. Majority patients were male (69.7%) with mean age 57 years. Top publishing countries were USA (28.2%), Japan (13%), China (6.5%), Germany (5%), with publications (n=16) peak seen in 2020. Histological type of NSCLC with PNS was adenocarcinoma (39.8%), SCC (26.8%), unspecified histology (13%) & large cell (8.6%). Most common PNS seen in NSCLC were hypertrophic osteoarthropathy (7.2%), bilateral diffuse uveal melanocytic proliferation (5.7%), leukemoid reaction (4.3%) & limbic encephalitis (4.3%). Conclusions: Study provides bird’s eye view of all PNS found in NSCLC, aiding in timely diagnosis & treatment of NSCLC. Organ system PNS Cases Neurology Limbic encephalitisOpsoclonus myoclonus syndromeGBSSensorimotor peripheral neuropathyCerebellar degenerationEncephalomyelitisPerson in barrel syndromeMyoclonusPandysautonomiaNeuromyelitis opticaOpsoclonusAntiHu Ab neuropathyMononeuritis multiplexMorvan syndrome 63221111111111 Cardiology & haematology Leukemoid reactionLeukocytoclastic vasculitisHSPDICITPMyelofibrosisAcral vascular cyanosisHyper eosinophiliaHeart blockTrousseau syndromeHaemophilia ASVC syndromeChurg Strauss syndrome 6332211111111 Endocrinology SIADHCushing syndromeHypercalcemia of malignancyGynaecomastiaβ HCG secretionErectile dysfunction 433221 Rheumatology Hypertrophic osteoarthropathyPolyarthritisPolymyositisDermatomyositisMyasthenia gravisLambert Eaton syndromePolymyalgia rheumaticaSclerodermaRaynaud phenomenonAnti synthetase syndrome 10433311111 Dermatology Bazex syndromeBullous pemphigoidErythema gyratumLeser Trélat Tripe palmsErythrodermaIchthyosisAcanthosis nigricansRhinophymaGranuloma annularePityriasis rubria pilarisEczemaErythema induratumHyperhidrosis 42212111111111 Ophthalmology Bilateral diffuse uveal melanocytic proliferationCancer associated retinopathyCicatrizing conjunctivitisRetinal detachmentOrbital inflammationOcular flutterProptosis 8311111 Nephrology Nephrotic syndrome 3 Gastroenterology Pseudo achalasiaVerner Morrison syndromeGranulomatous visceral neuronopathy 111 Musculoskeletal Necrotizing myopathy 2

Background Artificial intelligence (AI) and large language models (LLMs), are potential tools for enhancing healthcare delivery and clinical research. Presently, there is a scarcity of research regarding the viewpoints of medical students toward LLMs. This study aims to explore the perceptions of LLMs and their applications among this demographic. Methods A cross-sectional study was done using an online survey. It was designed using Google Forms and circulated from July 2023 to August 2023. The target population included medical students from Ecuador, Ethiopia, India, Mauritius, Pakistan, United Arab Emirates (UAE), and the United States (USA). Results A total of 1180 responses were collected from 10 medical colleges across 7 countries. The UAE had the largest number of responses (31.7%), followed by Ecuador (17.6%), and Mauritius (13.7%). And 77.4% respondents were already aware about LLMs before attempting the survey, most popularly, ChatGPT. Participants were most familiar with the specific use of LLMs in research (46%), and the lowest familiarity was seen in the use of LLMs in healthcare (37%). More than half of the participants (52%) support the use of LLMs healthcare, yet a significant number of them remained neutral (37%) or disagreed (31%) on LLMs being safe in this context. Conclusion While most of the medical students are aware of LLMs and their applications, the multinational survey demonstrated hesitancy among medical students in fully adopting LLMs into healthcare practice and clinical research. This study prompts further exploration of medical students’ attitudes and acceptance concerning the integration of LLMs for research methodologies, ethical considerations, and healthcare practice.

Abstract Background Bacterial blood stream infection (BSI) is a leading cause for mortality and morbidity in the pediatric solid organ transplant recipient population. This systematic review aims at pooling global data from the leading transplant institutions to identify the overall prevalence and risk factors associated with bacterial BSI and the most common causative organisms. Methods A systematic review of PubMed and OVID databases was conducted for the past 20 years. Initial search from both databases had a yield of 252 unique articles which were reviewed independently by two authors. Data related to demographics, prevalence, organisms and risk factors were extracted from the articles and subsequently analysed. The systematic review was registered on PROSPERO (ID: CRD42023403206). The PRISMA flow diagram visually summarises the screening process Results A total of 14 articles were included from the United States of America, France, Italy, Thailand, Japan, Spain and Korea. A total of 4215 liver transplants were included in the final analysis. The overall prevalence of BSI in pediatric liver transplant patients was 23.5% with the highest prevalence reported in Japan (39.5%) and lowest in the USA (18.7%). Mean age of the patients was 25 months and 54% were females. The most common organisms reported were Staphylococcus epidermidis at 22.8% followed by Enterococcus species (16.6%), Klebsiella species (11.9%) and Escherichia coli (11.4%). Among the risk factors studied, postoperative biliary complications, past medical history of biliary atresia and younger age were the risk factors most associated with BSI. Prevalence of bloodstream infections (BSI) post pediatric liver transplant in included countries. Bacterial organisms isolated in blood cultures in pediatric post liver transplant patient with a bloodstream infection. Conclusion Bacterial BSI post pediatric liver transplantation occurs with high prevalence. Further studies need to be conducted to better define risk factors for BSI and determine the best empirical antibiotic management for BSI in this population as the distribution of organisms varies greatly from otherwise healthy pediatric patients. Disclosures All Authors: No reported disclosures