Addressing Health Disparities in Obstructive Sleep Apnea (OSA) in Women
OSA affects nearly 20% of women, yet it often goes undiagnosed due to subtle, non-traditional symptoms and limitations in standard testing methods. These women can end up struggling with fatigue, insomnia, or mood changes—symptoms frequently misattributed to stress, menopause, or mental health conditions.
Traditional home sleep apnea tests can miss these cases, leading to false negatives, delayed care, and worsening symptoms along with other comorbidities. The result: persistent health inequities, higher healthcare costs, and reduced quality of life for millions of women.
This new report reveals how advanced, AI-enhanced diagnostics combined with a clinically integrated care model are closing the gender gap in OSA detection and treatment—improving health outcomes, boosting treatment success, and reducing long-term risks.
What you'll learn:
- Why traditional OSA testing fails many women—and how to fix it
- How AI-powered diagnostics detect sleep apnea missed by standard methods
- The link between untreated OSA and chronic conditions in women
- How value-based sleep care improves adherence, outcomes, and equity