Maternal morbidity in the U.S. is staggering given the acceleration of medical innovation, and disparities in maternal outcomes are stark. This book will explore the role of AI in mitigating these disparities and better interrogate AI’s strengths and weaknesses in the changing maternal health landscape.
Maternal 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 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 healthcare 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. The 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.
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This 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.
1. The Evolution of AI and mHealth
2. Ask the Chatbot
3. Behind the
Scenes, the Electronic Medical Record
4. Can AI Triage?
5. Med Tech and Big
Data: The Role of AI 6. Virtual Coaches, Virtual Docs: AI and Telemedicine 7.
AI Is Social: Online Information Seeking 8. Bias and Ethics in AI 9. Can We
Trust AI? Prevention vs. Power
10. Wrapping It Up: AI in Maternal Health
Currently
Jennifer 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 maternalchild 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.
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