Integrating a self-directed ultrasound curriculum for the internal medicine clerkship.

BACKGROUND: Incorporating ultrasound into the clinical curriculum of undergraduate medical education has been limited by a need for faculty support. Without integration into the clinical learning environment, ultrasound skills become a stand-alone skill and may decline by the time of matriculation into residency. A less time intensive ultrasound curriculum is needed to preserve skills acquired in preclinical years. We aimed to create a self-directed ultrasound curriculum to support and assess students' ability to acquire ultrasound images and to utilize ultrasound to inform clinical decision-making. METHODS: Third year students completed the self-directed ultrasound curriculum during their required internal medicine clerkship. Students used Butterfly iQ+ portable ultrasound probes. The curriculum included online modules that focused on clinical application of ultrasound as well as image acquisition technique. Students were graded on image acquisition quality and setting, a patient write-up focused on clinical decision-making, and a multiple-choice quiz. Student feedback was gathered with an end-of-course survey. Faculty time was tracked. RESULTS: One hundred and ten students participated. Students averaged 1.79 (scale 0-2; SD = 0.21) on image acquisition, 78% (SD = 15%) on the quiz, and all students passed the patient write-up. Most reported the curriculum improved their clinical reasoning (72%), learning of pathophysiology (69%), and patient care (55%). Faculty time to create the curriculum was approximately 45 h. Faculty time to grade student assignments was 38.5 h per year. CONCLUSIONS: Students were able to demonstrate adequate image acquisition, use of ultrasound to aid in clinical decision-making, and interpretation of ultrasound pathology with no in-person faculty instruction. Additionally, students reported improved learning of pathophysiology, clinical reasoning, and rapport with patients. The self-directed curriculum required less faculty time than prior descriptions of ultrasound curricula in the clinical years and could be considered at institutions that have limited faculty support.

A comparison of natural language processing to ICD-10 codes for identification and characterization of pulmonary embolism.

INTRODUCTION: The 10th revision of the International Classification of Diseases (ICD-10) codes is frequently used to identify pulmonary embolism (PE) events, although the validity of ICD-10 has been questioned. Natural language processing (NLP) is a novel tool that may be useful for pulmonary embolism identification. METHODS: We performed a retrospective comparative accuracy study of 1000 randomly selected healthcare encounters with a CT pulmonary angiogram ordered between January 1, 2019 and January 1, 2020 at a single academic medical center. Two independent observers reviewed each radiology report and abstracted key findings related to PE presence/absence, chronicity, and anatomic location. NLP interpretations of radiology reports and ICD-10 codes were queried electronically and compared to the reference standard, manual chart review. RESULTS: A total of 970 encounters were included for analysis. The prevalence of PE was 13% by manual review. For PE identification, sensitivity was similar between NLP (96.0%) and ICD-10 (92.9%; p = 0.405), and specificity was significantly higher with NLP (97.7%) compared to ICD-10 (91.0%; p < 0.001). NLP demonstrated higher sensitivity (70.0% vs 16.5%, p < 0.001) and specificity (99.9% vs 99.4%, p = 0.014) for saddle/main PE recognition, and significantly higher sensitivity (86.7% vs 8.3%, p < 0.001) and specificity (99.8% vs 96.5%, p < 0.001) for subsegmental PE compared to ICD-10. CONCLUSIONS: NLP is highly sensitive for PE identification and more specific than ICD-10 coding. NLP outperformed ICD-10 coding for recognition of subsegmental, saddle, and chronic PE. Our results suggest NLP is an efficient and more reliable method than ICD-10 for PE identification and characterization.

Reducing Diabetic Ketoacidosis Intensive Care Unit Admissions Through an Electronic Health Record-Driven, Standardized Care Pathway.

Diabetic ketoacidosis (DKA) is a common condition, with wide variation in admission location and clinical practice. We aimed to decrease intensive care unit (ICU) admission for DKA by implementing a standardized, electronic health record-driven clinical care pathway that used subcutaneous insulin, rather than a continuous insulin infusion, for patients with nonsevere DKA. This is a retrospective, observational preintervention to postintervention study of 214 hospital admissions for DKA that evaluated the effect of our intervention on clinical, safety, and cost outcomes. The primary outcome was ICU admission, which decreased from 67.0% to 41.7% (p < .001). Diabetes nurse educator consultation increased from 45.3% to 63.9% (p = .006), and 30-day Emergency Department (ED) return visit decreased from 12.3% to 2.8% (p = .008). Time to initiation of basal insulin increased from 18.19 ± 1.25 hours to 22.47 ± 1.76 hours (p = .05) and reopening of the anion gap increased from 4.7% to 13.9% (p = .02). No changes in ED length of stay (LOS), hospital LOS, hypoglycemia, treatment-induced hypokalemia, 30-day hospital readmission, or inpatient mortality were observed. The implementation of a standardized DKA care pathway using subcutaneous insulin for nonsevere DKA resulted in decreased ICU use and increased diabetes education, without affecting patient safety.

Neutrophil-to-lymphocyte ratio as prognostic indicator in gastrointestinal cancers: a systematic review and meta-analysis.

An accurate, time efficient, and inexpensive prognostic indicator is needed to reduce cost and assist with clinical decision making for cancer management. The neutrophil-to-lymphocyte ratio (NLR), which is derived from common serum testing, has been explored in a variety of cancers. We sought to determine its prognostic value in gastrointestinal cancers and performed a meta-analysis of published studies using the Meta-analysis Of Observational Studies in Epidemiology guidelines. Included were randomized control trials and observational studies that analyzed humans with gastrointestinal cancers that included NLR and hazard ratios (HR) with overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), and/or cancer-specific survival (CSS).We analyzed 144 studies comprising 45,905 patients, two-thirds of which were published after 2014. The mean, median, and mode cutoffs for NLR reporting OS from multivariate models were 3.4, 3.0, 5.0 (±IQR 2.5-5.0), respectively. Overall, NLR greater than the cutoff was associated with a HR for OS of 1.63 (95% CI, 1.53-1.73; P < 0.001). This association was observed in all subgroups based on tumor site, stage, and geographic region. HR for elevated NLR for DFS, PFS, and CSS were 1.70 (95% CI, 1.52-1.91, P < 0.001), 1.64 (95% CI, 1.36-1.97, P < 0.001), and 1.83 (95% CI, 1.50-2.23, P < 0.001), respectively.Available evidence suggests that NLR greater than the cutoff reduces OS, independent of geographic location, gastrointestinal cancer type, or stage of cancer. Furthermore, DFS, PFS, and CSS also have worse outcomes with elevated NLR.