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OverviewMaternal morbidity in the United States remains alarmingly high, despite rapid medical advancements. The disparities in maternal outcomes – particularly across racial, socioeconomic, and geographic lines – are stark and persistent. This book investigates how artificial intelligence (AI) might help reduce these disparities, offering a critical examination of both its potential and its limitations within the evolving maternal health landscape. This book engages with complex questions about how AI can complement or supplement the work of health care providers. It draws on the latest data and research to explore AI’s role across a range of med tech applications, including chatbots, electronic medical records, virtual coaching, and social media. Through evidence-based analysis, it considers how these technologies might prevent maternal morbidity and mortality and promote health equity. This book also takes a carefully balanced approach, acknowledging the risks of AI – such as algorithmic bias – and evaluates when and how AI is most or least effective in meeting patient needs. This is an essential resource for students, researchers, and professionals working in maternal health and related fields. It offers a timely and nuanced perspective on the intersection of technology and care. Full Product DetailsAuthor: Jennifer Schindler-Ruwisch , Wesley RuwischPublisher: Taylor & Francis Ltd Imprint: Routledge ISBN: 9781032952154ISBN 10: 1032952156 Pages: 178 Publication Date: 07 May 2026 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Forthcoming Availability: Not yet available This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviewsThis book boldly confronts the current maternal health crisis and empowers readers with the tools for change. It is an impactful read that will change the course of maternal health now, and for years in the future. Meredith Kazer PhD, APRN-BC, FAAN, Fairfield University Egan School of Nursing & Health Studies, US. Author InformationJennifer Schindler-Ruwisch, DrPH, is currently an associate professor of public health. She is interested in technology that impacts health, like AI, and is especially passionate about maternal–child health. She is active in her community and loves reading and family game nights. Wesley Ruwisch, MBA, is a software engineer with more than a decade of experience in tech. He enjoys music, basketball, and spending time with family. Tab Content 6Author Website:Countries AvailableAll regions |
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