S. Helman

Nursing Practice With Transthoracic Intracardiac Catheters in Children: International Benchmarking Study

H. Griffis, A. Lisanti, J. Fitzgerald, 2019, American journal of critical care : an official publication, American Association of Critical-Care Nurses.

Your neighborhood matters: A machine-learning approach to the geospatial and social determinants of health in 9-1-1 activated chest pain.

C. Callaway, C. Martin-Gill, Zeineb Bouzid, 2021, Research in nursing & health.

Holding and Mobility of Pediatric Patients With Transthoracic Intracardiac Catheters.

J. Gaynor, Xuemei Zhang, A. Lisanti, 2020, Critical care nurse.

Quality Over Quantity: Standardization of Pediatric HeartWare Ventricular Assist Device Dressing Changes

Leigh Ann DiFusco, S. Helman, 2018, ASAIO journal.

Reducing Ischemic Injury From Indwelling Peripheral Arterial Catheters in a Pediatric Cardiac ICU: A Quality Improvement Initiative*

A. Costarino, K. Bender, A. Adler, 2018, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

Just-in-Time Training for High-Risk Low-Volume Therapies: An Approach to Ensure Patient Safety

A. Lisanti, K. Davis, S. Helman, 2016, Journal of nursing care quality.

Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact

Nathan T. Riek, S. Saba, S. Sereika, 2023, Research square.

The role of machine learning applications in diagnosing and assessing critical and non-critical CHD: a scoping review

Adam B. Christopher, Elizabeth A. Herrup, S. Al-Zaiti, 2021, Cardiology in the Young.

Implementation of a Screening, Brief Intervention, and Referral to Treatment Program Using the Electronic Medical Record in a Pediatric Trauma Center

S. Helman, C. Mckenna, K. Schenkel, 2013, Journal of trauma nursing : the official journal of the Society of Trauma Nurses.

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside

M. Hravnak, M. Pinsky, M. Terry, 2021, Int. J. Medical Informatics.

Developmental care pathway for hospitalised infants with CHD: on behalf of the Cardiac Newborn Neuroprotective Network, a Special Interest Group of the Cardiac Neurodevelopmental Outcome Collaborative.

L. Bear, T. Miller, A. Lisanti, 2023, Cardiology in the young.

Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome.

C. Callaway, S. Saba, R. Gregg, 2021, Journal of electrocardiology.

Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome.

C. Callaway, S. Saba, R. Gregg, 2021, Journal of electrocardiology.

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

Nathan T. Riek, C. Callaway, S. Saba, 2023, Nature Medicine.