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Background: Burnout, disengagement, and turnover among clinicians is a major challenge for the US health care industry. Research has shown that higher direct supervisor leadership scores correlate with decreased provider burnout and increased professional fulfillment. Safety-net health systems such as Federally Qualified Health Centers (FQHCs) face increased challenges due to limited financial resources, more complex social determinants of health among patients, and often fewer physician leaders who can serve as mentors compared to large, integrated health systems.
View Article and Find Full Text PDFRangers on the frontline of wildlife monitoring: a case study on African lions in Uganda's Nile Delta.
Commun Biol
October 2024
Wildlife Counts, Nairobi, Kenya.
Regular population monitoring of imperilled charismatic species such as large carnivores is critical for conservation. However, the role of monitoring in conservation is frequently diminished due to: 1) surveys being implemented in isolation, 2) limited on-ground-capacity leading to infrequent monitoring, and 3) inappropriate methods being applied. Wildlife monitoring is often resource-intensive and the utility and cost of different field protocols is rarely reported.
View Article and Find Full Text PDFComputational approach for decoding malaria drug targets from single-cell transcriptomics and finding potential drug molecule.
Sci Rep
October 2024
Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, 500032, India.
Malaria is a deadly disease caused by Plasmodium parasites. While potent drugs are available in the market for malaria treatment, over the years, Plasmodium parasites have successfully developed resistance against many, if not all, front-line drugs. This poses a serious threat to global malaria eradication efforts, and the continued discovery of new drugs is necessary to tackle this debilitating disease.
View Article and Find Full Text PDFComparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads.
Comput Cardiol (2010)
October 2023
School of Medicine, University of Utah, SLC, UT, USA.
Article Synopsis
- The 12-lead ECG is widely used for diagnosing heart conditions, but it misses many diseases that machine learning (ML) can help identify.
- This study developed a deep learning model to detect low left ventricular ejection fraction (LVEF) using single-lead ECG data from wearable devices and compared its effectiveness to that of models trained on all 12 leads.
- Results showed that single-lead models performed comparably to those using all 12 leads, uncovering both agreements and discrepancies in predicted LVEF across different lead configurations.
Leveraging implementation science theories to develop and expand the use of a penicillin allergy de-labeling intervention.
BMC Health Serv Res
August 2024
William S. Middleton Veterans Memorial Hospital Madison, Madison, WI, USA.
Background: Penicillin allergy is the most frequently reported drug allergy, yet most patients can tolerate the drug if challenged. Despite this discrepancy, large scale penicillin allergy de-labeling interventions have not been widely implemented in many health care systems. The application of a multi-method implementation science approach can provide key tools to study this evidence to practice gap and provide insight to successfully operationalize penicillin allergy evaluation in real-world clinical settings.
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