Clinical Focus

  • Emergency Medicine
  • Medical Informatics
  • Cardiovascular Emergencies
  • Disaster Response

Academic Appointments

Administrative Appointments

  • Medical Informatics Director, Stanford Health Care (2011 - Present)
  • Associate Medical Director (Informatics and Data Analytics), Stanford School of Medicine Emergency Medicine (2021 - Present)
  • Assistant Medical Director (Informatics and Data Analytics), Stanford School of Medicine Emergency Medicine (2016 - 2021)
  • Assistant Medical Director, Stanford School of Medicine Emergency Medicine (2014 - 2016)
  • Associate Medical Director, APP Fellowship, Stanford School of Medicine Emergency Medicine (2016 - 2018)
  • Medical Director, Call Back Nurse Program, Stanford Healthcare Emergency Department (2011 - 2016)
  • Director of Observation Unti, Providence Hospital, DC (2004 - 2006)

Professional Education

  • Board Certification: American Board of Preventive Medicine, Clinical Informatics (2015)
  • Board Certification: American Board of Emergency Medicine, Emergency Medicine (2004)
  • Fellowship, Stanford University, Cardiovascular Emergencies (2008)
  • Residency, Johns Hopkins University School of Medicine, Emergency Medicine (2003)
  • Internship, Johns Hopkins University School of Medicine, Emergency Medicine (2001)
  • Medical Education, MCP Hahnemann University School of Medicine, MD (2000)
  • MS, University of Rochester, Biophysics (1996)
  • BS, The George Washington University, Physics, Business, Math (1992)

Graduate and Fellowship Programs

All Publications

  • Changes in low-acuity patient volume in an emergency department after launching a walk-in clinic. Journal of the American College of Emergency Physicians open Kurian, D., Sundaram, V., Naidich, A. G., Shah, S. A., Ramberger, D., Khan, S., Ravi, S., Patel, S., Ribeira, R., Brown, I., Wagner, A., Gharahbhagian, L., Miller, K., Shen, S., Yiadom, M. Y. 2023; 4 (4): e13011


    Unscheduled low-acuity care options are on the rise and are often expected to reduce emergency department (ED) visits. We opened an ED-staffed walk-in clinic (WIC) as an alternative care location for low-acuity patients at a time when ED visits exceeded facility capacity and the impending flu season was anticipated to increase visits further, and we assessed whether low-acuity ED patient visits decreased after opening the WIC.In this retrospective cohort study, we compared patient and clinical visit characteristics of the ED and WIC patients and conducted interrupted time-series analyses to quantify the impact of the WIC on low-acuity ED patient visit volume and the trend.There were 27,211 low-acuity ED visits (22.7% of total ED visits), and 7,058 patients seen in the WIC from February 26, 2018, to November 17, 2019. Low-acuity patient visits in the ED reduced significantly immediately after the WIC opened (P = 0.01). In the subsequent months, however, patient volume trended back to pre-WIC volumes such that there was no significant impact at 6, 9, or 12 months (P = 0.07). Had WIC patients been seen in the main ED, low-acuity volume would have been 27% of the total volume rather than the 22.7% that was observed.The WIC did not result in a sustained reduction in low-acuity patients in the main ED. However, it enabled emergency staff to see low-acuity patients in a lower resource setting during times when ED capacity was limited.

    View details for DOI 10.1002/emp2.13011

    View details for PubMedID 37484497

    View details for PubMedCentralID PMC10361543

  • Beyond chest pain: Incremental value of other variables to identify patients for an early ECG. The American journal of emergency medicine Bunney, G., Sundaram, V., Graber-Naidich, A., Miller, K., Brown, I., McCoy, A. B., Freeze, B., Berger, D., Wright, A., Yiadom, M. Y. 2023; 67: 70-78


    BACKGROUND: Chest pain (CP) is the hallmark symptom for acute coronary syndrome (ACS) but is not reported in 20-30% of patients, especially women, elderly, non-white patients, presenting to the emergency department (ED) with an ST-segment elevation myocardial infarction (STEMI).METHODS: We used a retrospective 5-year adult ED sample of 279,132 patients to explore using CP alone to predict ACS, then we incrementally added other ACS chief complaints, age, and sex in a series of multivariable logistic regression models. We evaluated each model's identification of ACS and STEMI.RESULTS: Using CP alone would recommend ECGs for 8% of patients (sensitivity, 61%; specificity, 92%) but missed 28.4% of STEMIs. The model with all variables identified ECGs for 22% of patients (sensitivity, 82%; specificity, 78%) but missed 14.7% of STEMIs. The model with CP and other ACS chief complaints had the highest sensitivity (93%) and specificity (55%), identified 45.1% of patients for ECG, and only missed 4.4% of STEMIs.CONCLUSION: CP alone had highest specificity but lacked sensitivity. Adding other ACS chief complaints increased sensitivity but identified 2.2-fold more patients for ECGs. Achieving an ECG in 10min for patients with ACS to identify all STEMIs will be challenging without introducing more complex risk calculation into clinical care.

    View details for DOI 10.1016/j.ajem.2023.01.054

    View details for PubMedID 36806978

  • Effects of California's New Patient Homelessness Screening and Discharge Care Law in an Emergency Department. Cureus Eakin, M., Singleterry, V., Wang, E., Brown, I., Saynina, O., Walker, R. 2023; 15 (2): e35534


    Introduction California State Bill 1152 (SB1152) mandated all non-state-operated hospitals meet specific criteria when discharging patients identified as experiencing homelessness. Little is known about SB1152's effect on hospitals or compliance statewide. We studied the implementation of SB1152 in our emergency department (ED). Methods We analyzed our suburban academic ED's institutional electronic medical record for one year before (July 1, 2018-June 20, 2019) and one year after (July 1, 2019-June 30, 2020) implementation of SB1152. We identified individuals by lack of address during registration, International Classification of Diseases, Tenth Revision (ICD-10) code of homelessness, and/or the presence of an SB1152 discharge checklist. Demographics, clinical information, and repeat visit data were collected. Results ED volumes were constant during the pre- and post-SB1152 periods (approximately 75,000 annually); however, ED visits by people experiencing homelessness more than doubled (630 (0.8%) to 1530 (2.1%) in the pre- and post-implementation periods.Age and sex distributions were similar with approximately 80% of patients aged 31-65 years and less than 1% under 18. Visits by females comprised less than 30% of the population. Visits by people of the White race decreased from 50% to 40% pre- and post-SB1152. Visits by people of the Black, Asian, and Hispanic races experiencing homelessness increased by 18% to 25%, 1% to 4%, and 19% to 21%, respectively. Acuity was unchanged with 50% of visits classified as "urgent."Discharges increased from 73% to 81% and admissions halved from 18% to 9%. Visits by patients with only one ED visit decreased (28% to 22%); those with four or more visits increased (46% to 56%). The most common primary diagnoses pre- and post-SB1162 were alcohol use (6.8% and 9.3%, respectively), chest pain (3.3% and 4.5%, respectively), convulsions (3.0%, and 2.46%, respectively), and limb pain (2.3% and 2.3%, respectively). The primary diagnosis of suicidal ideation doubled from the pre- to post-implementation periods (1.3% to 2.2%, respectively). Checklists were completed for 92% of identified patients discharged from the ED. Conclusion Implementation of SB1152 in our ED resulted in identifying an increased number of persons experiencing homelessness. We identified opportunities for further improvement since pediatric patients were missed. Further analysis is warranted, especially with the coronavirus disease 2019 (COVID-19) pandemic, which has significantly affected healthcare-seeking behavior in EDs.

    View details for DOI 10.7759/cureus.35534

    View details for PubMedID 37007375

  • Effectiveness, safety, and efficiency of a drive-through care model as a response to the COVID-19 testing demand in the United States. Journal of the American College of Emergency Physicians open Ravi, S., Graber-Naidich, A., Sebok-Syer, S. S., Brown, I., Callagy, P., Stuart, K., Ribeira, R., Gharahbaghian, L., Shen, S., Sundaram, V., Yiadom, M. Y. 2022; 3 (6): e12867


    Objectives: Here we report the clinical performance of COVID-19 curbside screening with triage to a drive-through care pathway versus main emergency department (ED) care for ambulatory COVID-19 testing during a pandemic. Patients were evaluated from cars to prevent the demand for testing from spreading COVID-19 within the hospital.Methods: We examined the effectiveness of curbside screening to identify patients who would be tested during evaluation, patient flow from screening to care team evaluation and testing, and safety of drive-through care as 7-day ED revisits and 14-day hospital admissions. We also compared main ED efficiency versus drive-through care using ED length of stay (EDLOS). Standardized mean differences (SMD)>0.20 identify statistical significance.Results: Of 5931 ED patients seen, 2788 (47.0%) were walk-in patients. Of these patients, 1111 (39.8%) screened positive for potential COVID symptoms, of whom 708 (63.7%) were triaged to drive-through care (with 96.3% tested), and 403 (36.3%) triaged to the main ED (with 90.5% tested). The 1677 (60.2%) patients who screened negative were seen in the main ED, with 440 (26.2%) tested. Curbside screening sensitivity and specificity for predicting who ultimately received testing were 70.3% and 94.5%. Compared to the main ED, drive-through patients had fewer 7-day ED revisits (3.8%vs 12.5%, SMD=0.321), fewer 14-day hospital readmissions (4.5%vs 15.6%, SMD=0.37), and shorter EDLOS (0.56vs 5.12hours, SMD=1.48).Conclusion: Curbside screening had high sensitivity, permitting early respiratory isolation precautions for most patients tested. Low ED revisit, hospital readmissions, and EDLOS suggest drive-through care, with appropriate screening, is safe and efficient for future respiratory illness pandemics.

    View details for DOI 10.1002/emp2.12867

    View details for PubMedID 36570369

  • Computed tomography rates in pediatric trauma patients among emergency medicine and pediatric emergency medicine physicians. Journal of pediatric surgery Pariaszevski, A., Wang, N. E., Lee, M. O., Brown, I., Imler, D., Lowe, J., Fang, A. 2022


    Pediatric trauma patients undergo fewer computed tomography (CT) scans when evaluated at pediatric trauma centers (PTC) versus adult trauma centers (ATC) with no change in clinical outcome. Factors contributing to this difference are unclear. We sought to identify whether the training background of physicians, specifically emergency medicine (EM) versus pediatric emergency medicine (PEM), affected the CT rate of pediatric trauma patients within one institution.A single-center retrospective study of CT utilization based on attending physicians' training in trauma patients <18 years between November 2018 and November 2020. Attendings were categorized into two groups: EM residency with no PEM fellowship, or pediatrics/EM residency with PEM fellowship. Primary outcomes measured were the proportion of patients receiving a CT and CT positivity rate.Of 463 study patients, CTs were obtained in 145/228 (64%) patients by EM, and 130/235 (55%) by PEM (p=.07). CT positivity rate was 21% and 19% in EM and PEM, respectively (p=.46). The mean number of CTs per patient in EM was 2.8 compared to 2.1 in PEM (p<.01), and for patients with an injury severity score (ISS) >15, mean number of CTs per patient increased to 4.9 in EM versus 2.4 in PEM (p=.01).The mean number of CTs ordered per patient was statistically higher for EM attendings. The differences between CT rates highlight future opportunities for ongoing development of pediatric trauma imaging guidelines and radiation exposure reduction.Retrospective Study, Level III.

    View details for DOI 10.1016/j.jpedsurg.2022.10.042

    View details for PubMedID 36418201

  • Impact of telemedicine on clinical practice patterns for patients with chest pain in the emergency department. International journal of medical informatics Ostberg, N., Ip, W., Brown, I., Li, R. 2022; 161: 104726


    BACKGROUND: The outbreak of the COVID-19 pandemic has led to the rapid adoption of novel telemedicine programs within the emergency department (ED) to minimize provider exposure and conserve personal protective equipment (PPE). In this study, we sought to assess how the adoption of telemedicine in the ED impacted clinical order patterns for patients with chest pain. We hypothesize that clinicians would rely more on imaging and laboratory workup for patients receiving telemedicine due to limitation in physical exams.METHODS: A single-center, retrospective, propensity score matched study was designed for patients presenting with chest pain at an ED. The study period was defined between April 1st, 2020 and September 30th, 2020. The frequency of the most frequent lab, imaging, and medication orders were compared. In addition, poisson regression analysis was performed to compare the overall number of orders between the two groups.RESULTS: 455 patients with chest pain who received telemedicine were matched to 455 similar patients without telemedicine with standardized mean difference<0.1 for all matched covariates. The proportion of frequent lab, imaging, and medication orders were similar between the two groups. However, telemedicine patients received more orders overall (RR, 1.19, 95% CI, 1.11, 1.28, p-value<0.001) as well as more imaging, lab, and nursing orders. The number of medication orders between the two groups remained similar.CONCLUSIONS: Frequent labs, imaging, and medications were ordered in similar proportions between the two cohorts. However, telemedicine patients had more orders placed overall. This study is an important objective assessment of the impact that telemedicine has upon clinical practice patterns and can guide future telemedicine implementation after the COVID-19 pandemic.

    View details for DOI 10.1016/j.ijmedinf.2022.104726

    View details for PubMedID 35228006

  • Impact of Telemedicine on Care Delivery for Patients With Chest Pain in the Emergency Department Ostberg, N., Ip, W., Brown, Li, R. MOSBY-ELSEVIER. 2021: S23
  • Examination of physician characteristics in opioid prescribing in the emergency department. The American journal of emergency medicine Glober, N. K., Brown, I., Sebok-Syer, S. S. 2021; 50: 207-210


    AIM: We aimed to better understand variation in opioid prescribing practices by investigating physician factors at one academic suburban Emergency Department (ED).METHODS: We retrospectively reviewed the electronic medical records of all patients given opioid prescriptions in the Stanford Health Care ED from 2009 to 2018. We described the variation in opioid prescriptions over time from 2009 to 2018, then dove deeper into a single year (July 1, 2017 to July 1, 2018). We described the number and type of opioid prescriptions at discharge and variation in attending physician opioid prescribing patterns using independent t-tests and a Fischer's exact test.RESULTS: From 2009 to 2018, 657,037 patient visits occurred; 92,612 (14.1%) opioid prescriptions were written. Opioid prescriptions increased from 2009, peaked in 2015, then decreased. Individual providers wrote opioid prescriptions for 1 to 17% of their discharged patients. There was no significant difference in opioid prescribing based on provider gender (p = 0.456), fellow or attending status (p = 0.390), residency completed at Stanford Hospital (p = 0.593), residency completed within California (p = 0.493), or residency completed after 2010 (p = 0.589). Of the 371 providers who wrote opioid prescriptions from 2009 through 2018, 120 wrote prescriptions for patients who had already received at least three opioid prescriptions in the same year from the same department.CONCLUSION: This study could inform policymakers by describing patterns of variation in opioid prescribing over time and between providers. Although we did see significant differences in prescribing patterns from one provider to the next, those were not explained by the factors we examined. Further studies could investigate factors such as provider experience with pain and addiction, bias regarding particular pathologies, and concern around patient satisfaction scores.

    View details for DOI 10.1016/j.ajem.2021.07.051

    View details for PubMedID 34390904

  • Using a Real-Time Locating System to Evaluate the Impact of Telemedicine in an Emergency Department During COVID-19: Observational Study. Journal of medical Internet research Patel, B., Vilendrer, S., Kling, S. M., Brown, I., Ribeira, R., Eisenberg, M., Sharp, C. 2021


    Telemedicine has been deployed by healthcare systems in response to the COVID-19 pandemic to enable healthcare workers to provide remote care for both outpatients and inpatients. Although it is reasonable to suspect telemedicine visits limit unnecessary personal contact and thus decrease the risk of infection transmission, the impact of the use of such technology on clinician workflows in the emergency department is unknown.To use real-time locating systems (RTLS) to evaluate the impact of a new telemedicine platform, which permitted clinicians located outside patient rooms to interact with patients who were under isolation precautions in the emergency department, on in-person interaction between healthcare workers and patients.A pre-post analysis was conducted using a badge-based RTLS platform to collect movement data including entrances and duration of stay within patient rooms of the emergency department for nursing and physician staff. Movement data was captured between March 2nd, 2020, the date of the first patient screened for COVID-19 in the emergency department, and April 20th, 2020. A new telemedicine platform was deployed on March 29th, 2020. Number of entrances and duration of in-person interactions per patient encounter, adjusted for patient length of stay, were obtained for pre- and post-implementation phases and compared with t-tests to determine statistical significance.There were 15,741 RTLS events linked to 2,662 encounters for patients screened for COVID-19. There was no significant change in number of in-person interactions between the pre- and post-implementation phases for both nurses (5.7 vs 7.0 entrances per patient, p=0.07) and physicians (1.3 vs 1.5 entrances per patient, p=0.12). Total duration of in-person interaction did not change (56.4 vs 55.2 minutes per patient, p=0.74) despite significant increases in telemedicine videoconference frequency (0.6 vs 1.3 videoconferences per patient, p<0.01 for change in daily average) and duration (4.3 vs 12.3 minutes per patient, p<0.01 for change in daily average).Telemedicine was rapidly adopted with the intent of minimizing pathogen exposure to healthcare workers during the COVID-19 pandemic, yet RTLS movement data did not reveal significant changes for in-person interactions between staff and patients under investigation for COVID-19 infection. Additional research is needed to better understand how telemedicine technology may be better incorporated into emergency departments to improve workflows for frontline healthcare clinicians.

    View details for DOI 10.2196/29240

    View details for PubMedID 34236993

  • Prehospital Identification of Large Vessel Occlusions Using Modified National Institutes of Health Stroke Scale: A Pilot Study. Frontiers in neurology Mulkerin, W. D., Spokoyny, I., Francisco, J. T., Lima, B., Corry, M. D., Nudelman, M. J., Niknam, K., Brown, I. P., Kohn, M. A., Govindarajan, P. 2021; 12: 643356


    Stroke identification is a key step in acute ischemic stroke management. Our objectives were to prospectively examine the agreement between prehospital and hospital Modified National Institutes of Health Stroke Scale (mNIHSS) assessments as well as assess the prehospital performance characteristics of the mNIHSS for identification of large vessel occlusion strokes. Method: In this prospective cohort study conducted over a 20-month period (11/2016-6/2018), we trained 40 prehospital providers (paramedics) in Emergency Neurological Life Support (ENLS) curriculum and in mNIHSS. English-speaking patients aged 18 and above transported for an acute neurological deficit were included. Using unique identifiers, we linked the prehospital assessment records to the hospital record. We calculated the agreement between prehospital and hospital mNIHSS scores using the Bland-Altman analysis and the sensitivity and specificity of the prehospital mNIHSS. Results: Of the 31 patients, the mean difference (prehospital mNIHSS-hospital mNIHSS) was 2.4, 95% limits of agreement (-5.2 to 10.0); 10 patients (32%) met our a priori imaging definition of large vessel occlusion and the sensitivity of mNIHSS ≥ 8 was 6/10 or 0.60 (95% CI: 0.26-0.88) and the specificity was 13/21 or 0.62 (95% CI: 0.38-0.82), respectively. Conclusions: We were able to train prehospital providers to use the prehospital mNIHSS. Prehospital and hospital mNIHSS had a reasonable level of agreement and and the scale was able to predict large vessel occlusions with moderate sensitivity.

    View details for DOI 10.3389/fneur.2021.643356

    View details for PubMedID 34054691

  • Emergency Department Access During COVID-19: Disparities in Utilization by Race/Ethnicity, Insurance, and Income Western Journal of Emergency Medicine Lowe, J., Brown, I., Duriseti, R., et al 2021: 552-560


    In March 2020, shelter-in-place orders were enacted to attenuate the spread of coronavirus 2019 (COVID-19). Emergency departments (EDs) experienced unexpected and dramatic decreases in patient volume, raising concerns about exacerbating health disparities.We queried our electronic health record to describe the overall change in visits to a two-ED healthcare system in Northern California from March-June 2020 compared to 2019. We compared weekly absolute numbers and proportional change in visits focusing on race/ethnicity, insurance, household income, and acuity. We calculated the z-score to identify whether there was a statistically significant difference in proportions between 2020 and 2019.Overall ED volume declined 28% during the study period. The nadir of volume was 52% of 2019 levels and occurred five weeks after a shelter-in-place order was enacted. Patient demographics also shifted. By week 4 (April 5), the proportion of Hispanic patients decreased by 3.3 percentage points (pp) (P = 0.0053) compared to a 6.2 pp increase in White patients (P = 0.000005). The proportion of patients with commercial insurance increased by 11.6 pp, while Medicaid visits decreased by 9.5 pp (P < 0.00001) at the initiation of shelter-in-place orders. For patients from neighborhoods <300% federal poverty levels (FPL), visits were -3.8 pp (P = 0.000046) of baseline compared to +2.9 pp (P = 0.0044) for patients from ZIP codes at >400% FPL the week of the shelter-in-place order. Overall, 2020 evidenced a consistently elevated proportion of high-acuity Emergency Severity Index (ESI) level 1 patients compared to 2019. Increased acuity was also demonstrated by an increase in the admission rate, with a 10.8 pp increase from 2019. Although there was an increased proportion of high-acuity patients, the overall census was decreased.Our results demonstrate changing ED utilization patterns circa the shelter-in-place orders. Those from historically vulnerable populations such as Hispanics, those from lower socioeconomic areas, and Medicaid users presented at disproportionately lower rates and numbers than other groups. As the pandemic continues, hospitals should use operations data to monitor utilization patterns by demographic, in addition to clinical indicators. Messaging about availability of emergency care and other services should include vulnerable populations to avoid exacerbating healthcare disparities.

    View details for DOI 10.5811/westjem.2021.1.49279

  • Social Determinants of Hallway Bed Use. The western journal of emergency medicine Kim, D. A., Sanchez, L. D., Chiu, D., Brown, I. P. 2020; 21 (4): 949–58


    INTRODUCTION: Hallway beds in the emergency department (ED) produce lower patient satisfaction and inferior care. We sought to determine whether socioeconomic factors influence which visits are assigned to hallway beds, independent of clinical characteristics at triage.METHODS: We studied 332,919 visits, across 189,326 patients, to two academic EDs from 2013-2016. We estimated a logistic model of hallway bed assignment, conditioning on payor, demographics, triage acuity, chief complaint, patient visit frequency, and ED volume. Because payor is not generally known at the time of triage, we interpreted it as a proxy for other observable characteristics that may influence bed assignment. We estimated a Cox proportional hazards model of hallway bed assignment on length of stay.RESULTS: Median patient age was 53. 54.0% of visits were by women. 42.1% of visits were paid primarily by private payors, 37.1% by Medicare, and 20.7% by Medicaid. A total of 16.2% of visits were assigned to hallway beds. Hallway bed assignment was more likely for frequent ED visitors, for lower acuity presentations, and for psychiatric, substance use, and musculoskeletal chief complaints, which were more common among visits paid primarily by Medicaid. In a logistic model controlling for these factors, as well as for other patient demographics and for the volume of recent ED arrivals, Medicaid status was nevertheless associated with 22% greater odds of assignment to a hallway bed (odds ratio 1.22, [95% confidence interval, CI, 1.18-1.26]), compared to private insurance. Visits assigned to hallway beds had longer lengths of stay than roomed visits of comparable acuity (hazard ratio for departure 0.91 [95% CI, 0.90-0.92]).CONCLUSION: We find evidence of social determinants of hallway bed use, likely involving epidemiologic, clinical, and operational factors. Even after accounting for different distributions of chief complaints and for more frequent ED use by the Medicaid population, as well as for other visit characteristics known at the time of triage, visits paid primarily by Medicaid retain a disproportionate association with hallway bed assignment. Further research is needed to eliminate potential bias in the use of hallway beds. [West J Emerg Med. 2020;21(4)949-958.].

    View details for DOI 10.5811/westjem.2020.4.45976

    View details for PubMedID 32726269

  • Rates of Co-infection Between SARS-CoV-2 and Other Respiratory Pathogens. JAMA Kim, D., Quinn, J., Pinsky, B., Shah, N. H., Brown, I. 2020

    View details for DOI 10.1001/jama.2020.6266

    View details for PubMedID 32293646

  • Emergency department implementation of abbreviated magnetic resonance imaging for pediatric traumatic brain injury. Journal of the American College of Emergency Physicians open Lumba-Brown, A. n., Lee, M. O., Brown, I. n., Cornwell, J. n., Dannenberg, B. n., Fang, A. n., Ghazi-Askar, M. n., Grant, G. n., Imler, D. n., Khanna, K. n., Lowe, J. n., Wang, E. n., Wintermark, M. n. 2020; 1 (5): 994–99


    Pediatric head injury is a common presenting complaint in the emergency department (ED), often requiring neuroimaging or ED observation for diagnosis. However, the traditional diagnostic neuroimaging modality, head computed tomography (CT), is associated with radiation exposure while prolonged ED observation impacts patient flow and resource utilization. Recent scientific literature supports abbreviated, or focused and shorter, brain magnetic resonance imaging (MRI) as a feasible and accurate diagnostic alternative to CT for traumatic brain injury. However, this is a relatively new application and its use is not widespread. The aims of this review are to describe the science and applications of abbreviated brain MRI and report a model protocol's development and ED implementation in the evaluation of children with head injury for replication in other institutions.

    View details for DOI 10.1002/emp2.12055

    View details for PubMedID 33145550

    View details for PubMedCentralID PMC7593499

  • Characteristics of Emergency Department Patients With COVID-19 at a Single Site in Northern California: Clinical Observations and Public Health Implications. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Duanmu, Y. n., Brown, I. P., Gibb, W. R., Singh, J. n., Matheson, L. W., Blomkalns, A. L., Govindarajan, P. n. 2020


    In December 2019, a novel coronavirus disease (COVID-19) emerged in Wuhan, China and spread globally, resulting in the first World Health Organization (WHO) classified pandemic in over a decade.1 As of April 2020, the United States (US) has the most confirmed COVID-19 cases worldwide, but public health interventions and testing availability have varied across the country. 2.

    View details for DOI 10.1111/acem.14003

    View details for PubMedID 32344458

  • Paramedic Detection of Large Vessel Occlusions Using mNIHSS: A Prospective Cohort Pilot Study. Mulkerin, W., Francisco, J., Lima, B., Spokoyny, I., Gilbert, G., Brown, I., Bernier, E., Niknam, K., Govindarajan, P. LIPPINCOTT WILLIAMS & WILKINS. 2019
  • Introduction of a Horizontal and Vertical Split Flow Model of Emergency Department Patients as a Response to Overcrowding. Journal of emergency nursing: JEN : official publication of the Emergency Department Nurses Association Wallingford, G. n., Joshi, N. n., Callagy, P. n., Stone, J. n., Brown, I. n., Shen, S. n. 2017


    ED overcrowding is an issue that is affecting every emergency department and every hospital. The inability to maintain patient flow into and out of the emergency department paralyzes the ability to provide effective and timely patient care. Many solutions have been proposed on how to mitigate the effects of ED overcrowding. Solutions involve either hospital-wide initiatives or ED-based solutions. In this article, the authors seek to describe and provide metrics for a patient flow methodology that targets ESI 3 patients in a vertical flow model.In the Stanford Emergency Department, a vertical flow model was created from existing ED space by removing fold-down horizontal stretchers and replacing them with multiple chairs that allowed for assessment and medical management in an upright sitting position. The model was launched and sustained through frequent interdisciplinary huddles, detailed inclusion and exclusion criteria, scripted text on how to promote the flow model to patients, and close analytics of metrics. Metrics for success included patient length of stay (LOS) for those triaged to the vertical flow area compared with ESI 3 patients triaged to the traditional emergency department as a comparison group. The secondary outcome is the total number of patients seen in the vertical flow area. This was a 6-month-September 2014, to February 2015-retrospective pre- and postintervention study that examined LOS as a marker for effective launch and implementation of a vertical patient workflow model.The patients triaged to the vertical flow area in the study period tended to be younger than in the control period (43 years versus 52 years, P = 0.00). There was a significant decrease in our primary end point: the total LOS for ESI 3 patients triaged to the vertical flow area (270 minutes versus 384 minutes, P = 0.00).Implementation of a vertical patient flow strategy can decrease LOS for the vertical ESI 3 patients based upon the inclusion and exclusion criteria. Furthermore, this is accomplished with minimal financial investment within the physical constraints of an existing emergency department.

    View details for DOI 10.1016/j.jen.2017.10.017

    View details for PubMedID 29169818

  • The expanded scope of emergency medical practice necessary for initial disaster response: lessons from Haiti. Journal of special operations medicine : a peer reviewed journal for SOF medical professionals Menon, A. S., Norris, R. L., Racciopi, J., Tilson, H., Gardner, J., McAdoo, G., Brown, I. P., Auerbach, P. S. 2012; 12 (1): 31-36


    A team of emergency physicians and nurses from Stanford University responded to the devastating January 2010 earthquake in Haiti. Because of the extreme nature of the situation, combined with limited resources, the team provided not only acute medical and surgical care to critically injured and ill victims, but was required to uniquely expand its scope of practice. Using a narrative format and discussion, it is the purpose of this paper to highlight our experience in Haiti and use these to estimate some of the skills and capabilities that will be useful for physicians who respond to similar future disasters.

    View details for PubMedID 22427047

  • Civil-Military Collaboration in the Initial Medical Response to the Earthquake in Haiti NEW ENGLAND JOURNAL OF MEDICINE Auerbach, P. S., Norris, R. L., Menon, A. S., Brown, I. P., Kuah, S., Schwieger, J., Kinyon, J., Helderman, T. N., Lawry, L. 2010; 362 (10)

    View details for DOI 10.1056/NEJMp1001555

    View details for PubMedID 20181962

  • Immune-Based Resistance to the Formation of v-src-lnduced Distal Tumors Virology Halpern, M. S., Wisner, T. W., Brown, B. P., James, E. M. 1993; 197 (1): 480-484


    Although v-src, the oncogene of Rous sarcoma virus, has been shown to be capable of inducing lethal tumors at visceral sites distal to the primary tumor mass, the mechanisms opposing visceral tumor formation remain to be elucidated. In the present study, we show that visceral tumors, many of which represent a metastasis spawned by the primary mass, are found only in hosts exhibiting reduced levels of tumor immunity. We conclude that it is the weakness of the tumor immune response, rather than a lack of expression of tumor antigen on visceral tumor cells, that is a major underpinning of the formation of v-src-induced visceral tumors.

    View details for DOI 10.1006/viro.1993.1617

  • Pion absorption in light nuclei Phys. Rev. C Ransome, R. D., Morris, C. L., Jones, M. K., Ritchie, B. G., Watson, D. L., McGill, J. A., Pujara, K., Clayton, D. B., Brown, I., Campbell, P., Moore, C. F. 1992; 46 (1): 273-278

    View details for DOI 10.1103/PhysRevC.46.273

  • Energy dependence of the total 12C(π+, 2p) cross section Physics Letters B Jones, M. K., Ritchie, B. G., Morris, C. L., Ransome, R. D., McGill, J. A., Watson, D. L., Moore, C. F., Clayton, D. L., Pujara, K., Brown, I., Campbell, P. 1992; 278 (4): 419-422
  • Cluster-impact-fusion yields: No collective effect observed for small water clusters Phys. Rev. Lett. Vandenbosch, R., Trainor, T. A., Will, D. I., Neubauer, J., Brown, I. 1991; 67 (25): 3567-3570