Publications by authors named "Heaton H"

We present a genome assembly from an individual female (the malaria mosquito; Arthropoda; Insecta; Diptera; Culicidae) from Lopé, Gabon. The genome sequence is 225.7 megabases in span.

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Objectives:  We aimed to improve the operational efficiency of clinical staff, including physicians and allied health professionals, in the previsit review of patients by implementing a disease-focused dashboard within the electronic health record system. The dashboard was tailored to the unique requirements of the clinic and patient population.

Methods:  A prospective quality improvement study was conducted at an accredited pulmonary hypertension (PH) clinic within a large academic center, staffed by two full time physicians and two allied health professionals.

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We present genome assembly from individual female (African malaria mosquito; Arthropoda; Insecta; Diptera; Culicidae) from Lopé, Gabon. The genome sequence is 270 megabases in span. Most of the assembly is scaffolded into three chromosomal pseudomolecules with the X sex chromosome assembled for both species.

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Background And Objectives: Ketamine is increasingly being utilized in the management of acute pain in the emergency department (ED), including for older adults, a population at increased risk of adverse effects from medications. We aimed to compare the safety and analgesic effects of high-dose (≥0.3mg/kg) to low-dose (<0.

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Background: Academic productivity is bolstered by collaboration, which is in turn related to connectivity between individuals. Gender disparities have been identified in academics in terms of both academic promotion and output. Using gender propensity and network analysis, we aimed to describe patterns of collaboration on publications in emergency medicine (EM), focusing on two Midwest academic departments.

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To implement use of obstetric (OB) hospitalist telemedicine services (TeleOB) to support clinicians facing OB emergencies in low-resource hospital settings. TeleOB was staffed by OB hospitalists working at a tertiary maternity center. The service was available via real-time high-definition audio/video technology for providers at 17 outlying hospitals across a health system spanning two states.

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We present a genome assembly from an individual male (the malaria mosquito; Arthropoda; Insecta; Diptera; Culicidae), from a wild population in Cameroon. The genome sequence is 271 megabases in span. The majority of the assembly is scaffolded into three chromosomal pseudomolecules with the X sex chromosome assembled.

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We present a genome assembly from an individual female (the malaria mosquito; Arthropoda; Insecta; Diptera; Culicidae), Ifakara strain. The genome sequence is 264 megabases in span. Most of the assembly is scaffolded into three chromosomal pseudomolecules with the X sex chromosome assembled.

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Indecipherable black boxes are common in machine learning (ML), but applications increasingly require explainable artificial intelligence (XAI). The core of XAI is to establish transparent and interpretable data-driven algorithms. This work provides concrete tools for XAI in situations where prior knowledge must be encoded and untrustworthy inferences flagged.

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Objectives: Patients with limited English proficiency (LEP) have been shown to experience disparities in emergency department (ED) care. The objectives of this study were to examine the associations between LEP and irregular ED departures and return ED visits.

Methods: We conducted a multicenter cross-sectional analysis of 18 EDs within an integrated health system in the upper Midwest from January 1, 2018, to December 31, 2021.

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First-order optimization algorithms are widely used today. Two standard building blocks in these algorithms are proximal operators (proximals) and gradients. Although gradients can be computed for a wide array of functions, explicit proximal formulas are known for only limited classes of functions.

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We present a genome assembly from an individual female (the malaria mosquito; Arthropoda; Insecta; Diptera; Culicidae). The genome sequence is 251 megabases in span. The majority of the assembly is scaffolded into three chromosomal pseudomolecules with the X sex chromosome assembled.

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We recently brought an internally developed machine-learning model for predicting which patients in the emergency department would require hospital admission into the live electronic health record environment. Doing so involved navigating several engineering challenges that required the expertise of multiple parties across our institution. Our team of physician data scientists developed, validated, and implemented the model.

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Objective: To improve the care for pediatric oncology patients with neutropenic fever who present to the emergency department (ED) by administering appropriate empiric antibiotics within 60 minutes of arrival.

Patients And Methods: We focused on improving the care for pediatric oncology patients at risk of neutropenia who presented to the ED with concern for fever. Our baseline adherence to the administration of empiric antibiotics within 60 minutes for this population was 53% (76/144) from January 1, 2010, to December 21, 2014.

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Background: Medical encounters require an efficient and focused history of present illness (HPI) to create differential diagnoses and guide diagnostic testing and treatment. Our aim was to compare the HPI of notes created by an automated digital intake tool versus standard medical notes created by clinicians.

Methods: Prospective trial in a quaternary academic Emergency Department (ED).

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Objective: To assess the generalizability of a clinical machine learning algorithm across multiple emergency departments (EDs).

Patients And Methods: We obtained data on all ED visits at our health care system's largest ED from May 5, 2018, to December 31, 2019. We also obtained data from 3 satellite EDs and 1 distant-hub ED from May 1, 2018, to December 31, 2018.

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Objective: To report the Mayo Clinic experience with coronavirus disease 2019 (COVID-19) related to patient outcomes.

Methods: We conducted a retrospective chart review of patients with COVID-19 diagnosed between March 1, 2020, and July 31, 2020, at any of the Mayo Clinic sites. We abstracted pertinent comorbid conditions such as age, sex, body mass index, Charlson Comorbidity Index variables, and treatments received.

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The ability of a Real Time Location System (RTLS) to provide correct information in a clinical environment is an important consideration in evaluating the effectiveness of the technology. While past efforts describe how well the technology performed in a lab environment, the performance of such technology has not been specifically defined or evaluated in a practice setting involving workflow and movement. Clinical environments pose complexity owing to various layouts and various movements.

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Infection by severe acute respiratory syndrome coronavirus 2 has led to cardiac complications including an increasing incidence of cardiac arrest. The resuscitation of these patients requires a conscious effort to minimize the spread of the virus. We present a best-practice model based in four guiding principles: (1) reduce the risk of exposure to the entire health care team; (2) decrease the number of aerosol generating procedures; (3) use a small resuscitation team to limit potential exposure; and (4) consider early termination of resuscitative efforts.

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