Unintended Consequences of NLP in Maternal Healthcare: Acknowledgments and Cautions

Our study emphasizes the importance of considering the whole person when designing NLP tools for medical research. This means prioritizing outcomes that support the individual’s physical, emotional, and social well-being. By taking a holistic approach, we can create summaries that address the user’s unique needs and preferences, rather than simply presenting a list of facts or figures.
To achieve this principle, we recommend using everyday language and engaging metaphors to help users understand complex concepts. For instance, instead of simply stating "a tumor is a mass of abnormal cells," you could explain it as "a tumor is like a weed in your garden – it’s not something you want to have, but it can be removed with the right tools and care." By using relatable analogies, users can better grasp complex medical concepts and make more informed decisions.
Another crucial aspect of optimizing for whole person outcomes is striking a balance between simplicity and thoroughness. Summaries should provide enough detail to capture the essence of the article without oversimplifying or leaving important information behind. This requires a thoughtful approach, taking into account the user’s literacy level, reading comprehension, and overall understanding of the topic.
Conclusion: By prioritizing whole person outcomes in our NLP approaches, we can create summaries that not only demystify complex medical information but also foster better healthcare experiences. By using everyday language, engaging metaphors, and striking a balance between simplicity and thoroughness, we can empower users to make informed decisions and take control of their health.