This study aims to improve the early identification of depression and substance use concerns during pregnancy and after childbirth by developing an artificial intelligence (AI) tool that uses information already collected in electronic health records. The goal is to help healthcare providers identify individuals who may be at risk for mental health or substance use problems earlier, allowing for timely support and treatment. Researchers will also work closely with patients, healthcare providers, and community partners to ensure the AI tool is trustworthy, easy to use, fair, and able to fit into routine healthcare settings.
The study includes two components. First, researchers will use existing electronic health record data from pregnant patients to develop and test an AI model that can predict the likelihood of depression or substance use concerns. Second, pregnant or postpartum individuals and obstetric healthcare providers will participate in a one-time virtual interview/focus group to share their perspectives on the use of AI in maternal healthcare. Feedback from these interviews/focus groups will help refine the AI tool and support its future implementation in clinical care.