Patient income level and health insurance correlate with differences in health care utilization during the COVID-19 pandemic.

Background: With the coronavirus outbreak of 2019 (COVID-19) came many changes in how health care is accessed and delivered. Perhaps most notable is the massive expansion of telemedicine, especially in the developed world. With pandemic-induced economic and health care system disruptions, it is reasonable to expect changes in how health care services are utilized by different patients.

Development of an Effective Electronic Medical Record for Student-Run Free Health Fairs Using Research Electronic Data Capture (REDCap) Software.

Background: The University of Miami Mitchell Wolfson Sr. Department of Community Service (DOCS) is a student-run organization providing free health care to the medically underserved in South Florida. For a large organization providing care to thousands of people per year, an effective electronic medical record (EMR) is necessary to keep track of patient records.

Factors to Effective Telemedicine Visits During the COVID-19 Pandemic: Cohort Study.

Background: With COVID-19 there was a rapid and abrupt rise in telemedicine implementation often without sufficient time for providers or patients to adapt. As telemedicine visits are likely to continue to play an important role in health care, it is crucial to strive for a better understanding of how to ensure completed telemedicine visits in our health system. Awareness of these barriers to effective telemedicine visits is necessary for a proactive approach to addressing issues.

Demographics associated with US healthcare disparities are exacerbated by the telemedicine surge during the COVID-19 pandemic.

Introduction: As coronavirus disease 2019 (COVID-19) hit the US, there was widespread and urgent implementation of telemedicine programs nationwide without much focus on the impact on patient populations with known existing healthcare disparities. To better understand which populations cannot access telemedicine during the coronavirus disease 2019 pandemic, this study aims to demographically describe and identify the most important demographic predictors of telemedicine visit completion in an urban health system.

Methods: Patient de-identified demographics and telemedicine visit data ( = 362,764) between March 1, 2020 and October 31, 2020 were combined with Internal Revenue Service 2018 individual income tax data by postal code.