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Health and Medical Administration Commons™
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Full-Text Articles in Health and Medical Administration
The Short-Term Effects Of Fine Airborne Particulate Matter And Climate On Covid-19 Disease Dynamics, El Hussain Shamsa, Kezhong Zhang
The Short-Term Effects Of Fine Airborne Particulate Matter And Climate On Covid-19 Disease Dynamics, El Hussain Shamsa, Kezhong Zhang
Medical Student Research Symposium
Background: Despite more than 60% of the United States population being fully vaccinated, COVID-19 cases continue to spike in a temporal pattern. These patterns in COVID-19 incidence and mortality may be linked to short-term changes in environmental factors.
Methods: Nationwide, county-wise measurements for COVID-19 cases and deaths, fine-airborne particulate matter (PM2.5), and maximum temperature were obtained from March 20, 2020 to March 20, 2021. Multivariate Linear Regression was used to analyze the association between environmental factors and COVID-19 incidence and mortality rates in each season. Negative Binomial Regression was used to analyze daily fluctuations of COVID-19 cases …
Emerging Trends In Healthcare Driven By The Covid-19 Pandemic: A Review From Health Informatics Perspective., Venugopal Mudgundi, Bhargav Desai, Farhad Nasar
Emerging Trends In Healthcare Driven By The Covid-19 Pandemic: A Review From Health Informatics Perspective., Venugopal Mudgundi, Bhargav Desai, Farhad Nasar
Advances in Clinical Medical Research and Healthcare Delivery
The COVID-19 pandemic is the first of its kind to hit the world in the modern information age. People working in healthcare across the globe have harnessed technological advances and modern digital tools in innovative new ways. This has brought specific, more recent trends in healthcare delivery to the forefront. In this review, we present a collection of articles that highlight some of the emerging trends in healthcare driven by the COVID-19 pandemic and that have the potential to transform healthcare in the coming decades. We provide a brief commentary on the opportunities and challenges for each trend.
Effect Of Early Mobilization On Length Of Hospital Stay In Covid-19 Patients: A Critically Appraised Topic, Ashlee Hodges, Anna Claire Briscoe, Anna Beth Willoughby, Carlton Hubbard, Nathan Smith
Effect Of Early Mobilization On Length Of Hospital Stay In Covid-19 Patients: A Critically Appraised Topic, Ashlee Hodges, Anna Claire Briscoe, Anna Beth Willoughby, Carlton Hubbard, Nathan Smith
Master of Occupational Therapy Student Critically Appraised Topics
For this project, we created a critically appraised topic to study the effects of early mobilization on length of hospital stay in COVID-19 patients in the ICU.
Intermediate Anticoagulation Dosing In Covid-19 Icu Patients: Evaluation Comparing Ventilated Vs Non-Ventilated Populations, Christopher Michael D'Amico
Intermediate Anticoagulation Dosing In Covid-19 Icu Patients: Evaluation Comparing Ventilated Vs Non-Ventilated Populations, Christopher Michael D'Amico
Applied Research Projects
Surges of COVID-19 have been seen to place large numbers of patients into the ICU. Establishing standards of care is critical not only for patient care, but to also implement a baseline of therapy to build upon with future research. COVID-19 produces a hypercoagulable state resulting in higher occurrences of clotting such as deep vein thrombosis (DVT), and pulmonary embolism (PE). Anticoagulation medications thin the blood to combat this aspect of the disease from occurring but does so at the risk of increasing bleeding potential. The purpose of this study is to evaluate the risk/benefit of anticoagulation usage between ventilated …
Why Do Family Members Reject Ai In Health Care? Competing Effects Of Emotions, Eun Hee Park, Karl Werder, Lan Cao, Balasubramaniam Ramesh
Why Do Family Members Reject Ai In Health Care? Competing Effects Of Emotions, Eun Hee Park, Karl Werder, Lan Cao, Balasubramaniam Ramesh
Information Technology & Decision Sciences Faculty Publications
Artificial intelligence (AI) enables continuous monitoring of patients’ health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals’ decisions for themselves, we focus on family members’ rejection of AI monitoring, as family members play a significant role in health care decisions. Our research investigates competing effects of emotions toward the rejection of AI monitoring for health care. Based on two scenario-based experiments, our study reveals that emotions play a decisive role in family members’ decision making on behalf of their parents. We find …