A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation.

Background: A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in clinical natural language processing (NLP). While a multitude of approaches to NLP exist, current algorithm development approaches have limitations that can slow the development process. These limitations are exacerbated when the task is emergent, as is the case currently for NLP extraction of signs and symptoms of COVID-19 and postacute sequelae of SARS-CoV-2 infection (PASC).

Effect of SARS-CoV-2 Infection and Infection Severity on Longer-Term Glycemic Control and Weight in People With Type 2 Diabetes.

Objective: To evaluate the association of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severity of infection with longer-term glycemic control and weight in people with type 2 diabetes (T2D) in the U.S.

Research Design And Methods: We conducted a retrospective cohort study using longitudinal electronic health record data of patients with SARS-CoV-2 infection from the National COVID Cohort Collaborative (N3C).

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach.

Background: Diabetes affects more than 30 million patients across the United States. With such a large disease burden, even a small error in classification can be significant. Currently billing codes, assigned at the time of a medical encounter, are the "gold standard" reflecting the actual diseases present in an individual, and thus in aggregate reflect disease prevalence in the population.

The transformation of hospital medicine to tackle the COVID-19 pandemic crisis.

The coronavirus disease 2019 (COVID-19) pandemic is placing extraordinary strains not only on hospital-wide systems but most especially on hospital medicine across the nation. The specific challenges faced by our hospitalist services are unfathomable. Hospitalist leaders are tasked to rapidly restructure clinical operations to accommodate the large surge in COVID-19 patients.

Rapid creation of an emergency department telehealth program during the COVID-19 pandemic.

Coronavirus disease 2019 (COVID-19) has spread to nearly every continent, with over 2.6 m cases confirmed worldwide. Emergency departments care for a significant number of patients who are under investigation for COVID-19 or are COVID-19-positive.