Addressing disparities in speech-language pathology and laryngology services with telehealth.

The COVID-19 pandemic disproportionately affected the health and well-being of marginalized communities, and it brought greater awareness to disparities in health care access and utilization. Addressing these disparities is difficult because of their multidimensional nature. Predisposing factors (demographic information, social structure, and beliefs), enabling factors (family and community) and illness levels (perceived and evaluated illness) are thought to jointly contribute to such disparities. Research has demonstrated that disparities in access and utilization of speech-language pathology and laryngology services are the result of racial and ethnic differences, geographic factors, sex, gender, educational background, income level and insurance status. For example, persons from diverse racial and ethnic backgrounds have been found to be less likely to attend or adhere to voice rehabilitation, and they are more likely to delay health care due to language barriers, longer wait times, a lack of transportation and difficulties contacting their physician. The purpose of this paper is to summarize existing research on telehealth, discuss how telehealth offers the potential to eliminate some disparities in the access and utilization of voice care, review its limitations, and encourage continued research in this area. A clinical perspective from a large volume laryngology clinic in a major city in northeastern United States highlights the use of telehealth in the provision of voice care by a laryngologist and speech-language pathologist during and after the COVID19 pandemic.

Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research.

Research increasingly relies on interrogating large-scale data resources. The NIH National Heart, Lung, and Blood Institute developed the NHLBI BioData CatalystⓇ (BDC), a community-driven ecosystem where researchers, including bench and clinical scientists, statisticians, and algorithm developers, find, access, share, store, and compute on large-scale datasets. This ecosystem provides secure, cloud-based workspaces, user authentication and authorization, search, tools and workflows, applications, and new innovative features to address community needs, including exploratory data analysis, genomic and imaging tools, tools for reproducibility, and improved interoperability with other NIH data science platforms. BDC offers straightforward access to large-scale datasets and computational resources that support precision medicine for heart, lung, blood, and sleep conditions, leveraging separately developed and managed platforms to maximize flexibility based on researcher needs, expertise, and backgrounds. Through the NHLBI BioData Catalyst Fellows Program, BDC facilitates scientific discoveries and technological advances. BDC also facilitated accelerated research on the coronavirus disease-2019 (COVID-19) pandemic.