Remove Governance Remove Healthcare Remove Race and Ethnicity
article thumbnail

Minding the Gaps: Neuroethics, AI, and Depression

NonProfit Quarterly

4 In practice, thats proven difficulta systematic review of American healthcare data done in 2011 revealed high rates of re-identification, raising ethical concerns. 9 In addition, those who are diagnosed often experience more severe and disabling symptoms than those experienced by other races and ethnicities. 10 Only 35.1

article thumbnail

The Double-Edged Sword of Health Innovations: Navigating the Intersection of Technology and Equity in Nigeria

NonProfit Quarterly

Emerging technological innovations in healthcare have the potential to transform public health and healthcare delivery systems, making them more efficient, personalized, and accessible. Consequently, communities that were already marginalized continued to face limited access to essential healthcare services.

Health 53
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Improving AAPI Health with Better Data

NonProfit Quarterly

Image Credit: Urja Bhatt on unsplash.com Recently, a colleague asked me to identify my race. Presented with the standard options for race (White, Black or African American, American Indian or Alaska Native, Asian), I’ve always selected Asian. She was collecting diversity information and needed to fill in the field. I shrugged.

Health 105
article thumbnail

The Other Maternal Health Crisis: Black Birthing People’s Mental Health and Wellbeing

NonProfit Quarterly

And many American women do not have access to coverage for midwives, doulas, and other community health workers to help them overcome the challenges embedded within the US healthcare system. However, recent research has revealed that race is even more important than income when it comes to birth outcomes.

Health 120
article thumbnail

Harnessing the Power of AI for Positive Impact: A Conversation with Juan Lavista Ferres

NonProfit Quarterly

Through irresponsible and biased models, AI has also exacerbated preexisting inequities in healthcare. If you have a thousand people who take out a loan, knowing their race or ethnicity will tell you very little about who will repay the loan. You can observe income and you can observe demographic characteristics like race.

article thumbnail

Nonprofit Boards Efforts to Diversify

NonProfit Quarterly

Fortunately, in recent years, some nonprofits have successfully diversified their boards, recruiting members with lived experiences that align with the communities being served by paying attention to demographics such as age, race, socioeconomic status, education, religion, disability, and diversity in thought and professional experience.

article thumbnail

Dismantling Bias: Toward Ethical and Inclusive Health Innovation

NonProfit Quarterly

Image credit: gorodenkoff on istock.com The creativity and ingenuity of socially marginalized and racialized groups can drive innovative healthcare solutions. The COVID-19 pandemic laid bare the social, economic, and racial discrimination that underlies the US healthcare system.

Health 96