reduced-procedure-time-variability-with-active-esophageal-cooling

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Various methods are utilized during radiofrequency (RF) pulmonary vein isolation (PVI) for the treatment of atrial fibrillation (AF) to protect the ...

University of Texas Southwestern Medical Center

Impact of High-sensitivity Troponin Testing on Operational Characteristics of an Urban Emergency Department.

Social distancing policies are key in curtailing severe acute respiratory coronavirus virus 2 (SARS-CoV-2) spread, but their effectiveness is heavily contingent on public understanding and collective adherence. We studied public perception of social distancing through organic, large-scale discussion on Twitter.

Understanding public perception of coronavirus disease 2019 (COVID-19) social distancing on Twitter.

The COVID-19 pandemic has placed acute care providers in demanding situations in predicting disease given the clinical variability, desire to cohort patients, and high variance in testing availability. An approach to stratifying patients by likelihood of disease based on rapidly available emergency department (ED) clinical data would offer significant operational and clinical value. The purpose of this study was to develop and internally validate a predictive model to aid in the discrimination of patients undergoing investigation for COVID-19.

Derivation With Internal Validation of a Multivariable Predictive Model to Predict COVID-19 Test Results in Emergency Department Patients.

Rapid Medical Evaluation (RME) is a new Emergency Department (ED) process that initiates testing while patients are in the Waiting Room. Primary goal of this study is to assess the effectiveness of RME pathway on the patient flow through the ED. This was a retrospective, single site, cohort study of patients presenting to the ED 12 months before (PRE group) and 12 months after (POST group) RME implementation. The POST group was divided into those that underwent RME and those managed using standard care pathway (SCP). Data was collected from Electronic Health Record (EHR) database using SQL and consisted of time stamp data for discrete ED patient events. The following metrics were calculated for all ED encounters: Active ED Room Time, Boarding Time, Total ED Room Time, Total ED Time, and Door-to-Provider Time. Patients undergoing RME on average spent 90-min less in ED Treatment Room compared to SCP group and were evaluated by a provider 151 min earlier than if they had waited for an available ED Treatment Room. Implementation of RME helped reduce time patients spend in ED Treatment Room, improved patient throughput, and decreased Door-to-Provider time during the busiest times in the ED.

Impact of Rapid Medical Evaluation on Patient Flow in an Urban Emergency Department.

Improving emergency department documentation with noninterruptive clinical decision support: An open-label, randomized clinical efficacy trial.

There is a need for a systematic method to implement the World Health Organization's Clinical Progression Scale (WHO-CPS), an ordinal clinical severity score for coronavirus disease 2019 patients, to electronic health record (EHR) data. We discuss our process of developing guiding principles mapping EHR data to WHO-CPS scores across multiple institutions.

Developing a COVID-19 WHO Clinical Progression Scale inpatient database from electronic health record data.

The 21st century has seen an enormous growth in emergency medical services (EMS) information technology systems, with corresponding accumulation of large volumes of data. Despite this growth, integration efforts between EMS-based systems and electronic health records, and public-sector databases have been limited due to inconsistent data structure, data missingness, and policy and regulatory obstacles. Efforts to integrate EMS systems have benefited from the evolving science of entity resolution and record linkage. In this chapter, we present the history and fundamentals of record linkage techniques, an overview of past uses of this technology in EMS, and a look into the future of record linkage techniques for integrating EMS data systems including the use of machine learning-based techniques.

Samuel A. McDonald

Department of Emergency Medicine and Clinical Informatics Center

University of Texas Southwestern Medical Center

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Samuel A. McDonald

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Emergency Medicine and Clinical Informatics Center

University of Texas Southwestern Medical Center

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Department of Emergency Medicine and Clinical Informatics Center