333 results match your criteria: "Division of Clinical Informatics[Affiliation]"

Our work provides a retrospective analysis of universal PCR orders for bacteria, mycobacteria, and fungi across our institution across a 10-year period. We assessed the positivity rates for this diagnostic tool by test type and specimen type and, critically, studied whether and how the results influenced the outcomes from treatment change, to readmission, to death.

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Changes in Physician Electronic Health Record Use With the Expansion of Telemedicine.

JAMA Intern Med

December 2023

Division of Clinical Informatics and Digital Transformation, Department of Medicine, University of California, San Francisco.

Importance: Understanding the drivers of electronic health record (EHR) burden, including EHR time and patient messaging, may directly inform strategies to address physician burnout. Given the COVID-19-induced expansion of telemedicine-now used for a substantial proportion of ambulatory encounters-its association with EHR burden should be evaluated.

Objective: To measure the association of the telemedicine expansion with time spent working in the EHR and with patient messaging among ambulatory physicians before and after the onset of the COVID-19 pandemic.

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Background: Peak tricuspid regurgitant velocity (TRV) on transthoracic echocardiography (TTE) is a commonly obtained parameter and robust predictor of subsequent adverse clinical outcomes.

Objectives: The purpose of this study was to determine the predictors and clinical significance of TRV progression.

Methods: We retrospectively linked consecutive outpatient TTE reports from our institution to 2005 to 2017 Medicare claims.

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Background: Peroral endoscopic myotomy (POEM) is a relatively new but increasingly therapeutic option for achalasia. In recent years, POEM has been used for nonachalasia esophageal motility disorders (NAEMDs), such as diffuse esophageal spasm, esophagogastric junction outlet obstruction, and hypercontractile disorder, with some clinical success. No studies thus far compare the outcomes of these two groups.

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Electronic connectivity between hospital pairs: impact on emergency department-related utilization.

J Am Med Inform Assoc

December 2023

US Department of Health and Human Services, Office of the National Coordinator for Health IT, Washington, DC 20201, United States.

Article Synopsis
  • The study aimed to analyze whether health information exchange (HIE) among hospitals leads to reduced visits to emergency departments (EDs) for patients with multiple encounters.
  • Researchers combined Medicare claims data and hospital participation information to classify patient encounters and assess outcomes like repeat imaging and hospital admissions.
  • While patients returning to the same hospital showed lower utilization rates, HIE did not consistently correlate with reduced repeat imaging; it did reduce hospital admissions after treat-and-release visits but increased admissions after discharges.
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Background: Racial and ethnic disparities in life expectancy in the United States have been widely documented. To date, there remains a paucity of similar data in patients with inborn errors of immunity (IEIs).

Objective: Our aim was to examine racial and ethnic differences in mortality due to an IEI in the United States.

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Expression quantitative trait methylation (eQTM) analysis identifies DNA CpG sites at which methylation is associated with gene expression. The present study describes an eQTM resource of CpG-transcript pairs derived from whole blood DNA methylation and RNA sequencing gene expression data in 2115 Framingham Heart Study participants. We identified 70,047 significant cis CpG-transcript pairs at p < 1E-7 where the top most significant eGenes (i.

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A 20-year-old female with depression presented to the emergency department with chronic weight loss, weakness, fatigue, hair loss, rash, palpitations, and 2 weeks of cough. Initial history revealed that she had disordered eating habits with dietary restriction, experienced a 50-pound unintentional weight loss over 2 years despite reported adherence to nutritional supplementation, and had a normal gastrointestinal workup. On examination, she was markedly cachectic with a BMI of 10.

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COVID exacerbated the gender disparity in physician electronic health record inbox burden.

J Am Med Inform Assoc

September 2023

Division of Clinical Informatics and Digital Transformation (DoC-IT), University of California San Francisco, San Francisco, California, USA.

The COVID-19 pandemic was associated with significant changes to the delivery of ambulatory care, including a dramatic increase in patient messages to physicians. While asynchronous messaging is a valuable communication modality for patients, a greater volume of patient messages is associated with burnout and decreased well-being for physicians. Given that women physicians experienced greater electronic health record (EHR) burden and received more patient messages pre-pandemic, there is concern that COVID may have exacerbated this disparity.

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The pandemic has had devastating impacts on humanity and the global healthcare sector. An analysis into the social determinants of health, in particular racial and ethnic disparities may explain why certain population groups have been disproportionately affected by COVID-19. The objective of this study is to humanize and personify numerical data.

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A Human-Centered Physician Journey.

Stud Health Technol Inform

June 2023

School of Health Information Science, University of Victoria, Canada.

The COVID-19 pandemic has placed unprecedented strain on global health systems, and the ability to safely and effectively deliver care. Further, it has impacted the mental health of global populations, in particular healthcare providers (i.e.

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Applying Logic to the Healthcare Journey.

Stud Health Technol Inform

June 2023

School of Health Information Science, University of Victoria, Canada.

Cross-disciplinary approaches to remediate complex healthcare service delivery issues may have merit. This study aims to establish the potential benefits of applying service design and evaluative research concepts in healthcare. Specifically, this study aims to demonstrate how a Customer Journey Map and a Logic Model could be used in unison to identify and remedy service delivery gaps to reduce barriers to care.

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Respiratory inflammation in bronchiolitis obliterans syndrome (BOS) after hematopoietic cell transplantation (HCT) is poorly understood. Clinical criteria for early-stage BOS (stage 0p) often capture HCT recipients without BOS. Measuring respiratory tract inflammation may help identify BOS, particularly early BOS.

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How to make the electronic health record your friend.

Curr Opin Pediatr

October 2023

Department of Pediatrics.

Purpose Of Review: The electronic health record (EHR) has become ubiquitous among healthcare providers. It has revolutionized how we care for patients allowing for instant access to records, improved order entry, and improved patient outcomes. However, it has also been implicated as a source of stress, burnout, and workplace dissatisfaction among its users.

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Successful clinical trials offer better treatments to current or future patients and advance scientific research. Clinical trials define the target population using specific eligibility criteria to ensure an optimal enrollment sample. Clinical trial eligibility criteria are often described in unstructured free-text which makes automation of the recruitment process challenging.

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Objective: The national developmental-behavioral pediatric (DBP) workforce struggles to meet current service demands because of several factors. Lengthy and inefficient documentation processes are likely to contribute to service demand challenges, but DBP documentation patterns have not been sufficiently studied. Identifying clinical practice patterns may inform strategies to address documentation burden in DBP practice.

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Background: In September 2021, a military camp in the United States was identified for an initial relocation of over 6,600 Afghanistan refugees. This case report describes a novel use of existing health information exchange to expedite and provide health care for a large refugee population throughout the state during the duration of their entry into the United States.

Methods: Medical teams of the health systems and military camp partnered to provide a scalable, reliable mechanism for clinical data exchange leveraging an existing regional health information exchange.

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ENRICHing medical imaging training sets enables more efficient machine learning.

J Am Med Inform Assoc

May 2023

Department of Medicine, Division of Cardiology, Department of Radiology, Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, California, USA.

Article Synopsis
  • Deep learning (DL) is increasingly used in biomedical imaging, but the scarcity of labeled data from expert annotators makes training models difficult, leading to a need for instance selection to improve model performance.
  • The authors introduce ENRICH, a method designed to prioritize medical images based on the diversity they contribute to the training dataset, addressing the unique challenges posed by medical data.
  • ENRICH significantly enhances classification and segmentation results by using fewer images compared to random selection, while also helping to identify errors in medical imaging datasets efficiently.
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Participation in a national diagnostic research study: assessing the patient experience.

Orphanet J Rare Dis

April 2023

Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA, 02115, USA.

Article Synopsis
  • - The Undiagnosed Diseases Network (UDN) focuses on providing answers and insights for patients with undiagnosed conditions through collaborative evaluations that extend beyond typical clinical settings, representing the first formal look into patient and caregiver experiences within this framework.
  • - Various focus groups were held with UDN participants and caregivers, revealing themes such as validation, access to medical support, and the inadequacies of the healthcare system for rare diseases, with adult participants expressing newfound reliance on others and pediatric caregivers showing gratitude for ongoing evaluations.
  • - All groups emphasized the thoroughness of the UDN evaluation process, with undiagnosed participants desiring continued care and communication, while diagnosed participants highlighted improvements in management and communication related to their conditions.
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Article Synopsis
  • Journey maps are visualization tools that can help represent stakeholder groups for better understanding of their interactions with organizations and services, potentially aiding in the development of learning health systems (LHS) that use health data to improve patient care.
  • This study aimed to explore literature on the connection between journey mapping techniques and LHSs, focusing on their relationship, integration of journey mapping data, and its impact on informing LHS.
  • A scoping review of various scientific databases revealed that, out of an initial 694 studies, a significant number were excluded based on specific criteria, leading to a smaller selection of relevant articles for analysis.
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Objectives: Develop and deploy a disease cohort-based machine learning algorithm for timely identification of hospitalized pediatric patients at risk for clinical deterioration that outperforms our existing situational awareness program.

Design: Retrospective cohort study.

Setting: Nationwide Children's Hospital, a freestanding, quaternary-care, academic children's hospital in Columbus, OH.

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Highly socially vulnerable communities exhibit disproportionately increased viral loads as measured in community wastewater.

Environ Res

April 2023

Department of Pharmacology, Toxicology & Neuroscience, School of Graduate Studies, Louisiana State University Health Sciences Center at Shreveport, Shreveport, Louisiana, USA; Louisiana Addiction Research Center, Louisiana State University Health Sciences Center at Shreveport, Shreveport, Louisiana, USA; Center of Excellence for Emerging Viral Threats, Louisiana State University Health Sciences Center at Shreveport, Shreveport, Louisiana, USA; Department of Psychiatry & Behavioral Medicine, School of Medicine, Louisiana State University Health Sciences Center at Shreveport, Shreveport, Louisiana, USA; Department of Cell Biology and Anatomy, School of Graduate Studies, Louisiana State University Health Sciences Center at Shreveport, Shreveport, Louisiana, USA. Electronic address:

Wastewater surveillance has proven to be a useful tool for evidence-based epidemiology in the fight against the SARS-CoV-2 virus. It is particularly useful at the population level where acquisition of individual test samples may be time or cost-prohibitive. Wastewater surveillance for SARS-CoV-2 has typically been performed at wastewater treatment plants; however, this study was designed to sample on a local level to monitor the spread of the virus among three communities with distinct social vulnerability indices in Shreveport, Louisiana, located in a socially vulnerable region of the United States.

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Background: Recent single-center reports have suggested that community-acquired bacteremic co-infection in the context of Coronavirus disease 2019 (COVID-19) may be an important driver of mortality; however, these reports have not been validated with a multicenter, demographically diverse, cohort study with data spanning the pandemic.

Methods: In this multicenter, retrospective cohort study, inpatient encounters were assessed for COVID-19 with community-acquired bacteremic co-infection using 48-h post-admission blood cultures and grouped by: (1) confirmed co-infection [recovery of bacterial pathogen], (2) suspected co-infection [negative culture with ≥ 2 antimicrobials administered], and (3) no evidence of co-infection [no culture]. The primary outcomes were in-hospital mortality, ICU admission, and mechanical ventilation.

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