Risk of COVID-19 breakthrough infection and hospitalization in individuals with comorbidities.

Background: The successful development of multiple COVID-19 vaccines has led to a global vaccination effort to reduce severe COVID-19 infection and mortality. However, the effectiveness of the COVID-19 vaccines wane over time leading to breakthrough infections where vaccinated individuals experience a COVID-19 infection. Here we estimate the risks of breakthrough infection and subsequent hospitalization in individuals with common comorbidities who had completed an initial vaccination series.

Racial inequality in COVID-treatment and in-hospital length of stay in the US over time.

Introduction: Demonstrated health inequalities persist in the United States. SARS-CoV-2 (COVID) has been no exception, with access to treatment and hospitalization differing across race or ethnic groups. Here, we aim to assess differences in treatment with remdesivir and hospital length of stay across the four waves of the pandemic.

Where Is the Digitally Silent Provider? Development and Validation of a Team-Centered Electronic Health Record Attribution Model for Supervising Residents.

Problem: Providing trainees with data and benchmarks on their own patient populations is an Accreditation Council for Graduate Medical Education core residency requirement. Leveraging electronic health records (EHRs) for this purpose relies on correctly attributing patients to the trainees responsible for their care. EHR activity logs are useful for attributing interns to inpatients but not for attributing supervising residents, who often have no inpatient EHR usage obligations, and therefore may generate no digital "footprints" on a given patient-day from which to ascertain attribution.

Measuring political and economic uncertainty: a supervised computational linguistic approach.

Unlabelled: In this paper, we develop a computational linguistic approach based on supervised machine learning using the to measure Chinese official relations and political uncertainty towards the US. In the first step, we create training samples by asking experts to manually annotate news articles. In the second step, we use supervised machine learning algorithms to adjust our single neural network and support vector machine classifiers to better fit our training data.

A call for social informatics.

As evidence of the associations between social factors and health outcomes continues to mount, capturing and acting on social determinants of health (SDOH) in clinical settings has never been more relevant. Many professional medical organizations have endorsed screening for SDOH, and the U.S.

The impact of transitioning from availability of outside records within electronic health records to integration of local and outside records within electronic health records.

Objective: While there has been a substantial increase in health information exchange, levels of outside records use by frontline providers are low. We assessed whether integration between outside data and local data results in increased viewing of outside records, overall and by encounter, provider, and patient type.

Materials And Methods: Using data from UCSF Health, we measured change in outside record views after integrating the list of local (UCSF) and outside (other health systems on Epic [Epic Systems, Verona, WI]) encounters on the Chart Review tab.

Characterizing the Source of Text in Electronic Health Record Progress Notes.

This study analyzes inpatient progress notes to determine the documentation practices of medical students, residents, and hospitalists.

Common procedures in internal medicine: improving knowledge and minimizing complications.

Internal medicine physicians have long been trained with the skills, knowledge, and attitudes to become proficient at certain medical procedures. Specifically, the lumbar puncture, paracentesis, thoracentesis, and central venous catheter placement are common medical procedures encountered during residency. Despite recent changes that no longer require documented competency in procedure performance, many residents and their attending supervisors continue to perform these procedures on a regular basis.

Mobile healthcare: the opportunities and challenges.

Mobile healthcare is an important extension of electronic healthcare. It enables the caregivers to have an ubiquitous and uninterrupted access to patients' clinical data and the latest medical knowledge; concurrently, it allows patients with chronic conditions to remain under constant observation without needing to be physically present at the clinic. The critical challenges to a full-scale implementation include establishing interoperability among electronic health records, developing better display technologies and security controls for mobile devices and developing smart algorithms to detect clinically significant events before notifying caregivers.

Accurate multiplex polony sequencing of an evolved bacterial genome.

We describe a DNA sequencing technology in which a commonly available, inexpensive epifluorescence microscope is converted to rapid nonelectrophoretic DNA sequencing automation. We apply this technology to resequence an evolved strain of Escherichia coli at less than one error per million consensus bases. A cell-free, mate-paired library provided single DNA molecules that were amplified in parallel to 1-micrometer beads by emulsion polymerase chain reaction.