Megan E Collins, John R Stephens, Matt Hall, Matthew J Molloy, Elisha McCoy, Irma T Ugalde, Michael J Steiner, Jillian M Cotter, Samantha A House, Michael J Tchou, Jessica L Markham
Background: Diagnostic imaging studies are frequently utilized when caring for pediatric patients. The most prevalent and costly imaging studies among hospitalized children are unknown.
Objective: Identify imaging studies with highest frequency, cost, rates of repetition, and hospital variation among hospitalized children, including patients with intensive care (ICU) stays and complex chronic conditions (CCCs).
Methods: We performed a retrospective cohort study of patients hospitalized from January 1, 2021 to December 31, 2022 across 45 children's hospitals in the Pediatric Health Information System. We identified diagnostic imaging studies for inpatient and observation encounters using billing codes grouped by body system and modality. We measured imaging frequency, costs, and variation across hospitals, overall and for ICU stays and children with CCCs.
Results: We identified 1,523,343 encounters; 59.1% had imaging, with $2.03 billion in imaging costs. The most frequently obtained and repeated imaging included chest X-ray (CXR), abdominal X-ray, and cardiovascular (CV) ultrasound/echocardiography. The imaging studies with highest cumulative cost were cardiovascular ultrasound, CXR, and neuro/head MRI. ICU encounters were 15.1% of total encounters, but accounted for 44.6% of imaging costs; CCC encounters were 39.6% of the total but accounted for 74.2% of costs. Interhospital variation was low among the most frequent and costly imaging modalities.
Conclusions: Among a cohort of hospitalized children, CXR and CV ultrasounds were among the most prevalent, costly, and frequently repeated imaging studies. Encounters with ICU stays and for patients with CCCs incurred disproportionate imaging costs. Our results serve as a starting point for identifying imaging overuse and developing achievable benchmarks of care.
{"title":"Frequency, cost, and variation in inpatient diagnostic imaging use in children's hospitals.","authors":"Megan E Collins, John R Stephens, Matt Hall, Matthew J Molloy, Elisha McCoy, Irma T Ugalde, Michael J Steiner, Jillian M Cotter, Samantha A House, Michael J Tchou, Jessica L Markham","doi":"10.1002/jhm.70183","DOIUrl":"10.1002/jhm.70183","url":null,"abstract":"<p><strong>Background: </strong>Diagnostic imaging studies are frequently utilized when caring for pediatric patients. The most prevalent and costly imaging studies among hospitalized children are unknown.</p><p><strong>Objective: </strong>Identify imaging studies with highest frequency, cost, rates of repetition, and hospital variation among hospitalized children, including patients with intensive care (ICU) stays and complex chronic conditions (CCCs).</p><p><strong>Methods: </strong>We performed a retrospective cohort study of patients hospitalized from January 1, 2021 to December 31, 2022 across 45 children's hospitals in the Pediatric Health Information System. We identified diagnostic imaging studies for inpatient and observation encounters using billing codes grouped by body system and modality. We measured imaging frequency, costs, and variation across hospitals, overall and for ICU stays and children with CCCs.</p><p><strong>Results: </strong>We identified 1,523,343 encounters; 59.1% had imaging, with $2.03 billion in imaging costs. The most frequently obtained and repeated imaging included chest X-ray (CXR), abdominal X-ray, and cardiovascular (CV) ultrasound/echocardiography. The imaging studies with highest cumulative cost were cardiovascular ultrasound, CXR, and neuro/head MRI. ICU encounters were 15.1% of total encounters, but accounted for 44.6% of imaging costs; CCC encounters were 39.6% of the total but accounted for 74.2% of costs. Interhospital variation was low among the most frequent and costly imaging modalities.</p><p><strong>Conclusions: </strong>Among a cohort of hospitalized children, CXR and CV ultrasounds were among the most prevalent, costly, and frequently repeated imaging studies. Encounters with ICU stays and for patients with CCCs incurred disproportionate imaging costs. Our results serve as a starting point for identifying imaging overuse and developing achievable benchmarks of care.</p>","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12631966/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What's the right spectrum? Rethinking antibiotic treatment strategies in nursing and healthcare-associated pneumonia.","authors":"Michael Osnard, Priya A Prasad","doi":"10.1002/jhm.70196","DOIUrl":"https://doi.org/10.1002/jhm.70196","url":null,"abstract":"","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Nursing and healthcare-associated pneumonia (NHCAP) is defined as pneumonia occurring in individuals with frequent healthcare contact, such as residents of care facilities or patients with impaired activities of daily living. The effectiveness of broad-spectrum antibiotics in treating NHCAP remains unclear.
Objective: To compare clinical outcomes between broad- and narrow-spectrum antibiotic treatments in patients with NHCAP using a nationwide inpatient database.
Methods: Patients diagnosed with NHCAP between April 2014 and March 2022 were identified from the Diagnosis Procedure Combination inpatient database in Japan. Patients were categorised into those receiving broad-spectrum antibiotics (antipseudomonal penicillins, antipseudomonal cephalosporins, and carbapenems) and those receiving narrow-spectrum antibiotics (third-generation cephalosporins and penicillin plus β-lactamase inhibitor combinations). Instrumental variable analysis using hospital preference for broad-spectrum antibiotics was conducted to compare 30-day in-hospital mortality. A subgroup analysis was performed for patients with ≥3 risk factors for antibiotic-resistant pathogens.
Results: Among 828,283 eligible patients, 24.8% received broad-spectrum antibiotics, while 75.2% received narrow-spectrum antibiotics. Instrumental variable analysis showed that broad-spectrum antibiotic use was not associated with 30-day in-hospital mortality (10.0% vs. 10.0%; risk difference, 0.0%; 95% confidence interval, -0.7% to 0.8%) compared with narrow-spectrum antibiotic use. The subgroup analysis of patients with three or more risk factors for antibiotic-resistant pathogens, broad-spectrum antibiotic use was also not associated with 30-day mortality (10.5% vs. 11.0%; risk difference, -0.6%; 95% confidence interval, -2.5% to 1.3%).
Conclusions: Broad-spectrum antibiotic use was not associated with short-term in-hospital mortality in patients with NHCAP, underscoring the importance of individualized antibiotic selection based on patient-specific risk factors.
背景:护理和卫生保健相关肺炎(NHCAP)被定义为发生在经常接触卫生保健的个体中的肺炎,如护理机构的居民或日常生活活动受损的患者。广谱抗生素治疗NHCAP的有效性尚不清楚。目的:利用全国住院患者数据库比较广谱和窄谱抗生素治疗NHCAP患者的临床结果。方法:从2014年4月至2022年3月日本诊断程序组合住院患者数据库中筛选诊断为NHCAP的患者。患者被分为接受广谱抗生素(抗假单胞菌青霉素、抗假单胞菌头孢菌素和碳青霉烯类)和接受窄谱抗生素(第三代头孢菌素和青霉素加β-内酰胺酶抑制剂联合)的患者。利用医院对广谱抗生素的偏好进行工具变量分析,比较30天住院死亡率。对具有≥3种耐药病原菌危险因素的患者进行亚组分析。结果:828,283例符合条件的患者中,使用广谱抗生素的占24.8%,使用窄谱抗生素的占75.2%。工具变量分析显示,与窄谱抗生素使用相比,广谱抗生素使用与30天住院死亡率无关(10.0% vs 10.0%;风险差为0.0%;95%置信区间为-0.7% ~ 0.8%)。对具有三个或更多耐药病原体危险因素的患者进行亚组分析,广谱抗生素的使用也与30天死亡率无关(10.5% vs 11.0%;风险差异-0.6%;95%置信区间-2.5%至1.3%)。结论:广谱抗生素的使用与NHCAP患者的短期住院死亡率无关,强调了基于患者特异性危险因素个性化抗生素选择的重要性。
{"title":"Mortality after broad- versus narrow-spectrum antibiotic treatment for patients with nursing and healthcare-associated pneumonia: A nationwide retrospective cohort study.","authors":"Jumpei Taniguchi, Shotaro Aso, Hiroki Matsui, Kiyohide Fushimi, Hideo Yasunaga","doi":"10.1002/jhm.70195","DOIUrl":"https://doi.org/10.1002/jhm.70195","url":null,"abstract":"<p><strong>Background: </strong>Nursing and healthcare-associated pneumonia (NHCAP) is defined as pneumonia occurring in individuals with frequent healthcare contact, such as residents of care facilities or patients with impaired activities of daily living. The effectiveness of broad-spectrum antibiotics in treating NHCAP remains unclear.</p><p><strong>Objective: </strong>To compare clinical outcomes between broad- and narrow-spectrum antibiotic treatments in patients with NHCAP using a nationwide inpatient database.</p><p><strong>Methods: </strong>Patients diagnosed with NHCAP between April 2014 and March 2022 were identified from the Diagnosis Procedure Combination inpatient database in Japan. Patients were categorised into those receiving broad-spectrum antibiotics (antipseudomonal penicillins, antipseudomonal cephalosporins, and carbapenems) and those receiving narrow-spectrum antibiotics (third-generation cephalosporins and penicillin plus β-lactamase inhibitor combinations). Instrumental variable analysis using hospital preference for broad-spectrum antibiotics was conducted to compare 30-day in-hospital mortality. A subgroup analysis was performed for patients with ≥3 risk factors for antibiotic-resistant pathogens.</p><p><strong>Results: </strong>Among 828,283 eligible patients, 24.8% received broad-spectrum antibiotics, while 75.2% received narrow-spectrum antibiotics. Instrumental variable analysis showed that broad-spectrum antibiotic use was not associated with 30-day in-hospital mortality (10.0% vs. 10.0%; risk difference, 0.0%; 95% confidence interval, -0.7% to 0.8%) compared with narrow-spectrum antibiotic use. The subgroup analysis of patients with three or more risk factors for antibiotic-resistant pathogens, broad-spectrum antibiotic use was also not associated with 30-day mortality (10.5% vs. 11.0%; risk difference, -0.6%; 95% confidence interval, -2.5% to 1.3%).</p><p><strong>Conclusions: </strong>Broad-spectrum antibiotic use was not associated with short-term in-hospital mortality in patients with NHCAP, underscoring the importance of individualized antibiotic selection based on patient-specific risk factors.</p>","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eden Y Bernstein, Jacob A Lebin, Jason Hoppe, Izzie Clinton, R Mark Gritz, Gina R Kruse, E Jennifer Edelman
Background: Alcohol withdrawal hospitalizations present unmet opportunities to initiate medications for alcohol use disorder (MAUD).
Objective: To examine patient and hospital factors associated with MAUD initiation during hospitalizations.
Methods: We conducted a retrospective cohort study of alcohol withdrawal hospitalizations in a large health system using electronic health record and pharmacy data from 2022 to 2024. The outcome was MAUD initiation defined as inpatient administration of injectable naltrexone or prescriptions for outpatient oral naltrexone, acamprosate, disulfiram, topiramate, or baclofen. We excluded patients who filled MAUD in the prior 90 days. We used a multivariable linear model with socioeconomic, clinical, and hospitalization factors as fixed effects and individual patients and hospital sites as random effects to account for clustering.
Results: Among 5993 alcohol withdrawal hospitalizations across 12 hospitals, 19.8% (range: 5.1%- 43.2%) initiated MAUD. Oral naltrexone was the most common MAUD initiated, while topiramate was the least common (66.9% and 1.2% of MAUD initiated, respectively). Patients less likely to initiate MAUD were age ≥ 65 years (absolute adjusted difference -6.89 percentage points [pp] vs. age 18-29; 95% confidence interval [CI] -12.20, -1.58) and those without cirrhosis and liver enzymes >200 U/L (-3.46 pp vs. liver enzymes ≤ 200 U/L; 95% CI: -6.87, -0.01). Four hospitals initiated MAUD at significantly lower rates, and two at higher rates including the only hospital with an addiction consult service.
Conclusion: MAUD initiation during alcohol withdrawal hospitalizations was low and varied by patient factors and hospital sites. Factors driving this variation can inform interventions to address MAUD underutilization.
{"title":"Variation in initiation of medications for alcohol use disorder during alcohol withdrawal hospitalizations in a large health system: A retrospective cohort study.","authors":"Eden Y Bernstein, Jacob A Lebin, Jason Hoppe, Izzie Clinton, R Mark Gritz, Gina R Kruse, E Jennifer Edelman","doi":"10.1002/jhm.70201","DOIUrl":"https://doi.org/10.1002/jhm.70201","url":null,"abstract":"<p><strong>Background: </strong>Alcohol withdrawal hospitalizations present unmet opportunities to initiate medications for alcohol use disorder (MAUD).</p><p><strong>Objective: </strong>To examine patient and hospital factors associated with MAUD initiation during hospitalizations.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study of alcohol withdrawal hospitalizations in a large health system using electronic health record and pharmacy data from 2022 to 2024. The outcome was MAUD initiation defined as inpatient administration of injectable naltrexone or prescriptions for outpatient oral naltrexone, acamprosate, disulfiram, topiramate, or baclofen. We excluded patients who filled MAUD in the prior 90 days. We used a multivariable linear model with socioeconomic, clinical, and hospitalization factors as fixed effects and individual patients and hospital sites as random effects to account for clustering.</p><p><strong>Results: </strong>Among 5993 alcohol withdrawal hospitalizations across 12 hospitals, 19.8% (range: 5.1%- 43.2%) initiated MAUD. Oral naltrexone was the most common MAUD initiated, while topiramate was the least common (66.9% and 1.2% of MAUD initiated, respectively). Patients less likely to initiate MAUD were age ≥ 65 years (absolute adjusted difference -6.89 percentage points [pp] vs. age 18-29; 95% confidence interval [CI] -12.20, -1.58) and those without cirrhosis and liver enzymes >200 U/L (-3.46 pp vs. liver enzymes ≤ 200 U/L; 95% CI: -6.87, -0.01). Four hospitals initiated MAUD at significantly lower rates, and two at higher rates including the only hospital with an addiction consult service.</p><p><strong>Conclusion: </strong>MAUD initiation during alcohol withdrawal hospitalizations was low and varied by patient factors and hospital sites. Factors driving this variation can inform interventions to address MAUD underutilization.</p>","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bent not broken.","authors":"Rogie Gabrielle","doi":"10.1002/jhm.70200","DOIUrl":"https://doi.org/10.1002/jhm.70200","url":null,"abstract":"","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145245994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hyperleukocytosis is defined as a white blood cell count exceeding 100,000/µL and is a critical manifestation of acute and chronic leukemia. It can lead to life-threatening complications such as leukostasis, disseminated intravascular coagulation, and tumor lysis syndrome. Leukostasis results from microvascular obstruction by leukemic blasts, causing multisystemic manifestations. Leukostasis is primarily a clinical diagnosis requiring prompt recognition and intervention. Supportive care includes intravenous hydration, uric acid-lowering agents, and cautious blood transfusions to prevent worsening hyperviscosity. Hydroxyurea and cytarabine are used as cytoreductive agents until a definitive diagnosis and management are started. The role of leukapheresis is controversial, and practice patterns differ between clinicians and institutions.
{"title":"Approach to hyperleukocytosis and leukostasis- inpatient management strategies.","authors":"Maun R Baral, Sambhawana Bhandari","doi":"10.1002/jhm.70199","DOIUrl":"https://doi.org/10.1002/jhm.70199","url":null,"abstract":"<p><p>Hyperleukocytosis is defined as a white blood cell count exceeding 100,000/µL and is a critical manifestation of acute and chronic leukemia. It can lead to life-threatening complications such as leukostasis, disseminated intravascular coagulation, and tumor lysis syndrome. Leukostasis results from microvascular obstruction by leukemic blasts, causing multisystemic manifestations. Leukostasis is primarily a clinical diagnosis requiring prompt recognition and intervention. Supportive care includes intravenous hydration, uric acid-lowering agents, and cautious blood transfusions to prevent worsening hyperviscosity. Hydroxyurea and cytarabine are used as cytoreductive agents until a definitive diagnosis and management are started. The role of leukapheresis is controversial, and practice patterns differ between clinicians and institutions.</p>","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145245963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Verity Schaye, Daniel J Sartori, Lexi Signoriello, Kiran Malhotra, Benedict Guzman, Bijal Rajput, Ilan Reinstein, Jesse Burk-Rafel
Background: Delayed diagnosis of venous thromboembolism (VTE) is prevalent among hospitalized patients, yet case identification is challenging and feedback limited.
Objective: To develop a large language model (LLM)-based electronic-trigger to identify VTE diagnostic delays.
Methods: All admissions to internal medicine (IM) residents at NYU Langone Health between January 2022 and December 2023 (n = 20,843) were included. Using an open-source LLM, prompts were validated to detect (1) residents considering VTE in admission notes and (2) VTE confirmation in five types of imaging reports (n = 100 for each prompt validation set). The validated prompts were applied to determine discordance between admission note differential omitting VTE and imaging report confirming VTE. Two hospitalists reviewed discordant cases using a validated tool to identify diagnostic delays. Hospitalizations were labeled as diagnostic delays, in-hospital complication, or false-positive. Based on in-hospital complication and false-positive patterns, exclusion criteria were implemented. Positive predictive value (PPV) and negative predictive value (NPV) were calculated.
Results: The LLM prompts correctly classified admission notes and VTE imaging studies with high accuracy (range 98%-100%, n = 699 VTE cases identified). Of the 137 diagnostic delays the LLM-based electronic-trigger identified, 31 were true-positives, 60 in-hospital complications, and 46 false-positives. 4.4% of all VTE hospitalizations had a diagnostic delay. With the exclusion criteria, the PPV was 48% (95% confidence interval [CI], 35%-62%) and NPV was 95% (95% CI, 87%-98%).
Conclusions: We developed the first LLM-based electronic-trigger to identify VTE diagnostic delays, with higher performance than existing non-LLM electronic-triggers. LLM-based approaches can facilitate diagnostic performance feedback and are scalable to other conditions and institutions.
{"title":"Large language model-based identification of venous thromboembolism diagnostic delays.","authors":"Verity Schaye, Daniel J Sartori, Lexi Signoriello, Kiran Malhotra, Benedict Guzman, Bijal Rajput, Ilan Reinstein, Jesse Burk-Rafel","doi":"10.1002/jhm.70194","DOIUrl":"https://doi.org/10.1002/jhm.70194","url":null,"abstract":"<p><strong>Background: </strong>Delayed diagnosis of venous thromboembolism (VTE) is prevalent among hospitalized patients, yet case identification is challenging and feedback limited.</p><p><strong>Objective: </strong>To develop a large language model (LLM)-based electronic-trigger to identify VTE diagnostic delays.</p><p><strong>Methods: </strong>All admissions to internal medicine (IM) residents at NYU Langone Health between January 2022 and December 2023 (n = 20,843) were included. Using an open-source LLM, prompts were validated to detect (1) residents considering VTE in admission notes and (2) VTE confirmation in five types of imaging reports (n = 100 for each prompt validation set). The validated prompts were applied to determine discordance between admission note differential omitting VTE and imaging report confirming VTE. Two hospitalists reviewed discordant cases using a validated tool to identify diagnostic delays. Hospitalizations were labeled as diagnostic delays, in-hospital complication, or false-positive. Based on in-hospital complication and false-positive patterns, exclusion criteria were implemented. Positive predictive value (PPV) and negative predictive value (NPV) were calculated.</p><p><strong>Results: </strong>The LLM prompts correctly classified admission notes and VTE imaging studies with high accuracy (range 98%-100%, n = 699 VTE cases identified). Of the 137 diagnostic delays the LLM-based electronic-trigger identified, 31 were true-positives, 60 in-hospital complications, and 46 false-positives. 4.4% of all VTE hospitalizations had a diagnostic delay. With the exclusion criteria, the PPV was 48% (95% confidence interval [CI], 35%-62%) and NPV was 95% (95% CI, 87%-98%).</p><p><strong>Conclusions: </strong>We developed the first LLM-based electronic-trigger to identify VTE diagnostic delays, with higher performance than existing non-LLM electronic-triggers. LLM-based approaches can facilitate diagnostic performance feedback and are scalable to other conditions and institutions.</p>","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145246044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clinical guidelines highlight for the hospitalist: Management of cyclic vomiting syndrome in children.","authors":"Yamileth N Hernandez, Hannah M Gardner","doi":"10.1002/jhm.70190","DOIUrl":"https://doi.org/10.1002/jhm.70190","url":null,"abstract":"","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Securing benefits of crisis-driven innovations.","authors":"Marina Dantas, Jessica L Markham","doi":"10.1002/jhm.70180","DOIUrl":"10.1002/jhm.70180","url":null,"abstract":"","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12631963/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145208830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aditya Kesari, Sanjay A Patel, Anand D Jagannath, Michelle Fleshner
{"title":"A rhyme and reason for swelling.","authors":"Aditya Kesari, Sanjay A Patel, Anand D Jagannath, Michelle Fleshner","doi":"10.1002/jhm.70184","DOIUrl":"https://doi.org/10.1002/jhm.70184","url":null,"abstract":"","PeriodicalId":94084,"journal":{"name":"Journal of hospital medicine","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145214860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}