A5076166319- Cardiac Arrest and Resuscitation
- Acute Myocardial Infarction Research
- ECG Monitoring and Analysis
- Congenital Heart Disease Studies
- Mechanical Circulatory Support Devices
- Artificial Intelligence in Healthcare and Education
- Intensive Care Unit Cognitive Disorders
- Phonocardiography and Auscultation Techniques
- Healthcare Technology and Patient Monitoring
- Cardiac Imaging and Diagnostics
- Traditional Chinese Medicine Studies
- Non-Invasive Vital Sign Monitoring
- Homelessness and Social Issues
- Health Systems, Economic Evaluations, Quality of Life
- Sepsis Diagnosis and Treatment
- Vascular Procedures and Complications
- Cardiovascular Function and Risk Factors
- Infant Development and Preterm Care
- Central Venous Catheters and Hemodialysis
- Health Promotion and Cardiovascular Prevention
- Healthcare Policy and Management
- Machine Learning in Healthcare
- AI in cancer detection
- Biomedical Text Mining and Ontologies
- Cardiac Structural Anomalies and Repair
University of Pittsburgh
2020-2025
University of Pittsburgh Medical Center
2013-2021
Children's Hospital of Philadelphia
2015-2020
Children's Hospital of Pittsburgh
2013-2020
University of Pennsylvania
2019
E Ink (South Korea)
2015
Patients with occlusion myocardial infarction (OMI) and no ST-elevation on presenting electrocardiogram (ECG) are increasing in numbers. These patients have a poor prognosis would benefit from immediate reperfusion therapy, but, currently, there accurate tools to identify them during initial triage. Here we report, our knowledge, the first observational cohort study develop machine learning models for ECG diagnosis of OMI. Using 7,313 consecutive multiple clinical sites, derived externally...
Abstract Background and Aims The importance of risk stratification in patients with chest pain extends beyond diagnosis immediate treatment. This study sought to evaluate the prognostic value electrocardiogram feature-based machine learning models risk-stratify all-cause mortality those pain. Methods was a prospective observational cohort consecutive, non-traumatic All-cause death ascertained from multiple sources, including CDC National Death Index registry. Six were trained for survival...
Abstract Infants and children born with CHD are at significant risk for neurodevelopmental delays abnormalities. Individualised developmental care is widely recognised as best practice to support early neurodevelopment medically fragile infants premature or requiring surgical intervention after birth. However, wide variability in clinical consistently demonstrated units caring CHD. The Cardiac Newborn Neuroprotective Network, a Special Interest Group of the Neurodevelopmental Outcome...
In this paper we describe ECG-SMART-NET for identification of occlusion myocardial infarction (OMI). OMI is a severe form heart attack characterized by complete blockage one or more coronary arteries requiring immediate referral cardiac catheterization to restore blood flow the heart. Two thirds cases are difficult visually identify from 12-lead electrocardiogram (ECG) and can be potentially fatal if not identified in timely fashion. Previous works on topic scarce, current state-of-the-art...
High-risk low-volume therapies are those that practiced infrequently and yet carry an increased risk to patients because of their complexity. Staff nurses required competently manage these treat patients' unique needs optimize outcomes; however, maintaining competence is challenging. This article describes implementation Just-in-Time Training, which requires validation minimum competency bedside managing high-risk through direct observation a return-demonstration checklist.
Abstract Background Critical instability forecast and treatment can be optimized by artificial intelligence (AI)-enabled clinical decision support. It is important that the user-facing display of AI output facilitates thinking workflow for all disciplines involved in bedside care. Objectives Our objective to engage multidisciplinary users (physicians, nurse practitioners, physician assistants) development a graphical user interface (GUI) present an AI-derived risk score. Methods Intensive...
Background. Transthoracic intracardiac catheters are central placed in the operating room at conclusion of cardiac surgery for infants and children. Complications associated with these (eg, bleeding, migration, premature removal, infection, leakage, lack function) have been described. However, no researchers addressed nursing management intensive care unit, including catheter dressing securement, mobilization patients, flushing catheters, or impact interventions on patients'...
The purpose of this project was to develop and implement a consistent process for (1) screening adolescents by history alcohol substance abuse (2) providing motivational interview change appropriate referrals as needed. In the 18 months since we implemented program, 534 patients were eligible screening. Of these, 442 actually underwent 32 screened positive, thus receiving brief intervention social work referral further treatment. Use electronic medical record key implementation...
To reduce the number of ischemic arterial catheter injuries in children with congenital or acquired heart disease.This is a quality improvement study pre- and postintervention groups.University-affiliated pediatric cardiac center quaternary care freestanding children's hospital.All patients an indwelling peripheral placed Children's Hospital Philadelphia Cardiac Center associated admission to Intensive Unit from January 2015 July 2017 are included. Patients umbilical catheters were excluded...
Abstract Patients with occlusion myocardial infarction (OMI) and no ST-elevation on presenting ECG are increasing in numbers. These patients have a poor prognosis would benefit from immediate reperfusion therapy, but we currently accurate tools to identify them during initial triage. Herein, report the first observational cohort study develop machine learning models for diagnosis of OMI. Using 7,313 consecutive multiple clinical sites, derived externally validated an intelligent model that...
Background Nursing care of pediatric patients after cardiac surgery consists close hemodynamic monitoring, often through transthoracic intracardiac catheters, requiring to remain on bed rest and limiting holding mobility. Objectives The primary aim this quality improvement project was determine the feasibility safely mobilizing with catheters out bed. Once established, secondary increase number days such were Methods Interventions New standards procedures implemented in July 2015 for...
Persistent hypothermia after cardiopulmonary bypass (CPB) in neonates with congenital heart defects (CHD) has been historically considered benign despite lack of evidence on its prognostic significance.
Abstract Healthcare disparities in the initial management of patients with acute coronary syndrome (ACS) exist. Yet, complexity interactions between demographic, social, economic, and geospatial determinants health hinders incorporating such predictors existing risk stratification models. We sought to explore a machine‐learning‐based approach study complex social explain ACS likelihood an urban community. This identified consecutive transported by Pittsburgh emergency medical service for...
Introduction: Neonatal hypothermia (< 36.5 o C) after CPB is considered benign despite lack of evidence on its prognostic significance. Question: Are group-based trajectory modeling (GBTM), k-means, and self-organizing map (SOM) clustering approaches clinically useful for evaluating their associations with important outcomes? Aims: Identify distinct postoperative temperature trajectories in neonates using novel machine learning (ML) methods, corroborate findings, evaluate value outcomes....
Introduction: Risk stratifying diabetes mellitus (DM) patients with chest pain in the emergency department (ED) can pose significant challenges because of atypical symptoms, non-specific ECG changes, and elevated baseline troponin levels. This study aims to evaluate HEART Score performance DM versus non-DM patients. Methods: A prospective observational cohort included transported by Emergency Medical Services University Pittsburgh Center-affiliated hospitals. Data collection involved...
Pediatric patients are unique both in their diagnosis and clinical presentation before implantation of a ventricular assist device (VAD) driveline site characteristics post-implant. There is limited evidence scholarly literature that describes complications pediatric VAD sites or approaches by which to manage them. The Cardiac Center at Children’s Hospital Philadelphia (CHOP) follows standard care for HeartWare (HVAD) dressing changes the inpatient setting with goal transitioning weekly time...
Hravnak, Marilyn; Clermont, Gilles; Helman, Stephanie; Pellathy, Tiffany; Lagattuta, Theodore; Saul, Melissa; George, Betsy; Pinsky, Michael; Al-Zaiti, Salah Author Information
Introduction: Machine learning (ML) is frequently applied in healthcare to optimize diagnostic classification through discovery of hidden patterns data, not obvious the human brain. ML research CHD entails one most promising clinical applications, where timely and accurate diagnosis essential. The objective this scoping review was summarize accuracy role techniques used pediatric cardiology research, specifically focusing on approaches that assessment underlying CHD. Methods: All original,...