A webinar delved into the evolution of telehealth and its significance pre and post the COVID-19 era, shedding light on the advancements and challenges in healthcare technology.
Telehealth Before and After COVID-19 Webinar
A webinar titled “Telehealth Before and After COVID-19” was held on May 6, 2020, from 2:00 pm to 3:00 pm EDT. The online-only event focused on health care policy and examined the state of telehealth technologies, particularly in the context of the COVID-19 pandemic.
Lack of Health Information Technologies in the US
On March 13, 2020, Niam Yaraghi discussed the United States’ shortcomings in health information technologies necessary to manage the COVID-19 epidemic. The analysis highlighted significant gaps in the infrastructure needed to effectively track and respond to the pandemic.
Expansion of Telehealth for Reproductive Health Care
Jack Karsten wrote on September 12, 2018, about how telehealth applications have increased access to reproductive health care. The piece outlined how these technologies are expanding health care options for patients, particularly in underserved areas.
Electoral College and Disinformation Risks
An analysis by Elaine Kamarck and Darrell M. West, published on June 5, 2024, explored how the Electoral College system increases the risks of disinformation in US elections. The piece detailed the vulnerabilities inherent in the current electoral structure that can be exploited to spread false information.
AI’s Potential Risks and Rewards
Aaron Klein and Sandra Lee addressed the potential risks and rewards of artificial intelligence (AI) in their publication on June 5, 2024. The discussion centered on understanding how AI can be both beneficial and detrimental, emphasizing the importance of robust regulatory measures.
California’s Role in AI Regulation
An article by Joshua Turner and Nicol Turner Lee dated June 4, 2024, scrutinized whether California could assume a leading role in AI regulation amidst a federal regulatory void. The piece evaluated California’s pioneering regulations and their implications for the broader AI landscape in the United States.
