The AI Conundrum: Working Smarter Without Getting Dumber

The EngagED Midwife

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The digital revolution continues to transform healthcare, and midwifery is no exception. As we launch Season 12 of The Engaged Midwife Podcast (approaching an incredible 100,000 downloads!), Missi and Cara dive into the fascinating world of artificial intelligence and its applications for midwifery students and clinicians.
From study techniques to clinical decision-making, AI offers powerful tools that can streamline workflows and enhance learning—but only when used thoughtfully. We explore how tools like ChatGPT, Claude, and Gemini can help synthesize information, create customized study materials, and even assist with complex statistical analysis. However, we also examine the research suggesting that handwriting notes creates stronger neural connections than using AI-generated summaries, raising important questions about how technology shapes learning.
For practicing midwives, AI has already become embedded in electronic health records and is increasingly available for generating differential diagnoses, patient education materials, and time management solutions. Yet all these applications come with important ethical considerations around data privacy, academic integrity, and environmental impact.
Throughout our conversation, we emphasize the importance of critical thinking and transparency. AI works best when it augments human expertise rather than replacing it—the midwife's clinical judgment remains irreplaceable, even as technology evolves to support it. As Cara puts it, "Work smarter, not harder," but always maintain your professional knowledge and skill.

#MidwiferyInnovation #AIinMidwifery #TechInBirth #SmartMidwifery #DigitalMidwife #MidwiferyEducation #WorkSmarterNotHarder @chatgpt @claudeai @microsoftcopilot @googlegemini

فصول

1. Season 12 Introduction (00:00:00)

2. Understanding AI Applications (00:02:30)

3. Ethical Considerations and Limitations (00:08:54)

4. AI for Students and Study Techniques (00:13:46)

5. AI in Clinical Practice (00:21:37)

6. Balancing AI Efficiency with Critical Thinking (00:35:16)

7. Final Thoughts and Key Takeaways (00:43:12)