Dr. Ashley Erin Hall is a Clinical Instructor in the Department of Emergency Medicine at Stanford University. She is completing an Ultrasound Fellowship with an emphasis on Clinical Informatics, acting as one of the physician leaders on a hospital committee in charge of ultrasound operations and workflow changes. As a certified Epic Physician Builder since residency, she has continued to work on Electronic Medical Record (EMR) optimization through fellowship. Combining her interests in ultrasound and clinical informatics, she has specifically focused on improvements in the EMR user interface, physician workflow/efficiency, patient safety, and billing/compliance.

Clinical Focus

  • Emergency Medicine
  • Ultrasound
  • Clinical Informatics

Academic Appointments

Administrative Appointments

  • Physician Leader, POCUS Governance Committee, Stanford Healthcare (2022 - Present)

Honors & Awards

  • Top Teaching Resident Award, Department of Emergency Medicine, University of Michigan (2021)
  • Residency Recruitment Award, Department of Emergency Medicine, University of Michigan (2019)
  • Exemplary Teamwork Award, Department of Anesthesia, Children's Hospital of Georgia (2015)

Professional Education

  • Fellowship, (Ultrasound) Stanford University School of Medicine, CA (2024)
  • Residency: University of Michigan (2022) MI
  • Medical Education: Medical College of Georgia (2018) GA

All Publications

  • ED point-of-care ultrasonography is associated with earlier drainage of pericardial effusion: A retrospective cohort study AMERICAN JOURNAL OF EMERGENCY MEDICINE Hoch, V. C., Abdel-Hamid, M., Liu, J., Hall, A. E., Theyyunni, N., Fung, C. M. 2022; 60: 156-163


    To determine the association between emergency department point-of-care cardiac ultrasonography (POCUS) utilization and time to pericardial effusion drainage during an 8-year period when the emergency ultrasound program was established at our institution.We performed a single-center retrospective cohort study in patients undergoing pericardiocentesis or other procedure for evacuation of pericardial effusion. Data was collected using both direct queries to the electronic health record database and two-examiner chart review. The primary outcome was time to intervention for pericardial effusion drainage. Multivariable Cox regression, with and without inverse probability weighting for likelihood to receive POCUS, was used to determine the association between POCUS and time to intervention. Secondary outcomes included 28-day mortality.257 patient encounters were included with 137 receiving POCUS and 120 who did not. The proportion of patients receiving POCUS increased from 18.5% to 69.5% during the early to late periods of the study. POCUS was associated with an earlier median time to intervention of 21.6 h (95% CI 17.2, 24.2) compared to 34.6 h (27.0, 50.5) in the No POCUS group. After adjustment for patient demographics, anticoagulation, time of presentation and hemodynamic instability, POCUS was associated with earlier intervention (HR 2.08 [95% CI 1.56, 2.77]). POCUS use was not associated with a difference in 28-day mortality, which was evaluated as a secondary outcome. However, diagnosis of pericardial effusion by the ED physician using any means (POCUS or other imaging) was associated with decreased 28-day mortality (9.7% vs. 26.0%, -16.3% for POCUS [95% CI -29.1, -3.5]).POCUS was associated with an earlier time to intervention for pericardial effusions after adjustment for multiple confounding factors. Failure to diagnose pericardial effusion in the ED using any diagnostic testing including POCUS, was associated with increased 28-day mortality.

    View details for DOI 10.1016/j.ajem.2022.08.008

    View details for Web of Science ID 000880152900027

    View details for PubMedID 35986978

    View details for PubMedCentralID PMC9937040

  • Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform. Critical care explorations Schmitzberger, F. F., Hall, A. E., Hughes, M. E., Belle, A., Benson, B., Ward, K. R., Bassin, B. S. 2022; 4 (5): e0693


    Delayed identification of hemodynamic deterioration remains a persistent issue for in-hospital patient care. Clinicians continue to rely on vital signs associated with tachycardia and hypotension to identify hemodynamically unstable patients. A novel, noninvasive technology, the Analytic for Hemodynamic Instability (AHI), uses only the continuous electrocardiogram (ECG) signal from a typical hospital multiparameter telemetry monitor to monitor hemodynamics. The intent of this study was to determine if AHI is able to predict hemodynamic instability without the need for continuous direct measurement of blood pressure.Retrospective cohort study.Single quaternary care academic health system in Michigan.Hospitalized adult patients between November 2019 and February 2020 undergoing continuous ECG and intra-arterial blood pressure monitoring in an intensive care setting.None.One million two hundred fifty-two thousand seven hundred forty-two 5-minute windows of the analytic output were analyzed from 597 consecutive adult patients. AHI outputs were compared with vital sign indications of hemodynamic instability (heart rate > 100 beats/min, systolic blood pressure < 90 mm Hg, and shock index of > 1) in the same window. The observed sensitivity and specificity of AHI were 96.9% and 79.0%, respectively, with an area under the curve (AUC) of 0.90 for heart rate and systolic blood pressure. For the shock index analysis, AHI's sensitivity was 72.0% and specificity was 80.3% with an AUC of 0.81.The AHI-derived hemodynamic status appropriately detected the various gold standard indications of hemodynamic instability (hypotension, tachycardia and hypotension, and shock index > 1). AHI may provide continuous dynamic hemodynamic monitoring capabilities in patients who traditionally have intermittent static vital sign measurements.

    View details for DOI 10.1097/CCE.0000000000000693

    View details for PubMedID 35620767

    View details for PubMedCentralID PMC9116956