Stryker is one of the world’s largest medical technology companies, offering a wide range of products with a primary focus on surgical tools, joint replacements, and closed waste management systems. Its products impact over 150 million patients each year across 75 countries.

Labor can be long for many patients, and often nurses are caring for more than one patient concurrently. It can be challenging for a nurse to support the unique needs of each patient in a different stage of labor, especially if the nurse is early in their career.

Our Labor and Delivery Assistant provides real-time, workflow-aware clinical support. Our software tracks the patient’s past medical history, gestation history, and stage of delivery, helping the nurse through every step of delivery.

The dashboard shows the patient’s current stage of delivery and reminds the nurse of the next necessary step of treatment. Alerts pop up to warn the nurse of possible dangers, medicine allergies, and other possible problems before they become an issue.

Our software introduces an AI assistant to aid with the childbirth process. It provides a summary of the patient’s care based on their health records provided by Stryker.

To reduce errors from our AI model, our system has many verification steps in place and performs an in-depth analysis to provide citations for all claims.

Our system provides quick and easy-to-use resources for labor and delivery nurses to improve patient safety and reduce errors. This saves crucial time and prevents mistakes during the potentially dangerous process of childbirth.

Our front-end software is written with Swift, and our back end is written in Python. We use FastAPI to build the application, LangGraph with an Ollama engine for AI infrastructure, and a PostgreSQL database to store all of the data.