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3D-printed organ models improve nursing interns' physiology knowledge scores in RCT3D Printing Helps Nurses Master Anatomy Faster

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Key Takeaway
Consider 3D-printed organ models as a potential teaching tool to improve physiology knowledge in nursing interns.

This was a randomized controlled trial with 120 undergraduate nursing interns. Participants were assigned to an observation group receiving 3DIPT-assisted teaching using 3D-printed models of key nursing-relevant organs (ovary, uterus, stomach, prostate, and kidney) or a control group receiving traditional teaching with 2D materials and static specimens. The intervention period was 6 months.

The primary outcome was physiology-related knowledge scores from a nurse licensing examination simulation. The observation group scored 77.30 ± 9.65, while the control group scored 67.36 ± 9.55, with the difference being statistically significant (p < 0.05). Secondary outcomes included Social Medical Curiosity, self-directed learning ability, mobile learning willingness, and Medical Students’ Transformative Learning Readiness, but specific results for these were not reported.

Safety and tolerability data, including adverse events, serious adverse events, and discontinuations, were not reported. A key limitation is that the paper partially presents the models for the ovary, uterus, stomach, prostate, and kidney for clinical education and connected learning.

The practice relevance is not specified. Given the observational nature of the findings within an RCT, causality cannot be definitively established, and the results are specific to this population and teaching context.

Why Flat Pictures Fall Short

Teachers used flat pictures and static models for many years. These are hard to understand from every angle. You cannot see depth or texture in a book.

This makes learning difficult for complex structures like the heart. Students often feel frustrated when they cannot picture the shape. It is like trying to build a puzzle with missing pieces.

Traditional methods rely on 2D materials and static specimens. This makes it difficult to intuitively present complex anatomical structures. Students miss the real feel of the human body.

The Surprising Shift in Learning

But here is the twist. New technology lets students hold real copies of organs. 3D printers create solid objects from digital files. This changes how medical training feels.

A recent study tested this new method with nursing interns. The goal was to see if it improved their knowledge. They wanted to know if touch helps memory.

The study included 120 undergraduate nursing interns in total. They were randomly divided into two groups for fairness. One group used traditional teaching methods for six months.

How 3D Models Change Understanding

Think of a 3D printer like a high-tech clay sculptor. It builds layers to create a solid object. Students can touch and turn these models.

This helps them understand how organs connect to each other. They can see the size and shape clearly. It is like having a map that you can hold.

The models included key organs like the kidney and stomach. They also covered the ovary, uterus, and prostate. These are common areas nurses need to understand well.

The study group with 3D models scored much higher on exams. Their average score was 77 compared to 67 for the other group. This difference is statistically significant and meaningful.

Better scores mean better understanding of body functions. Students felt more curious and ready to learn on their own. They were also more willing to use mobile tools.

This boost in learning readiness is a big deal. It suggests students are more confident in their skills. They feel more prepared for real-world nursing tasks.

This is not a new medical treatment for patients.

Why Education Matters for Care

Better training leads to better care in the long run. When nurses understand anatomy deeply, they spot problems sooner. They can explain conditions to patients more clearly.

This study focused on nursing interns specifically. It did not test actual patients or doctors directly. Results might change with different groups.

Experts say that better education reduces medical errors. When staff know the body well, they act faster. This creates a safer environment for everyone in the hospital.

What Happens Next in Schools

Schools will likely use more 3D tools soon. More research will check if this helps long-term skills. It is a step toward modernizing medical education.

The technology is still growing and becoming cheaper. This means more schools can afford to buy the printers. It could become a standard part of nursing classes.

Researchers plan to expand this work to other subjects. They want to see if it works for doctors too. Approval for wider use depends on more testing.

It will take time to see if this changes patient outcomes. But the early signs are very promising for education. We may see more 3D tools in classrooms soon.

Study Details

Study typeRct
EvidenceLevel 2
PublishedApr 2026
View Original Abstract ↓
BackgroundTraditional physiology teaching relies on 2D materials and static specimens, making it difficult to intuitively present complex anatomical structures and physiological mechanisms. 3D Intelligent Printing Technology (3DIPT) has demonstrated application value in surgical training, but its use in physiology education remains underexplored.MethodsA randomized controlled trial (RCT) was conducted, enrolling 120 undergraduate nursing interns who were randomly divided into a control group (traditional teaching) and an observation group (3DIPT-assisted teaching) with a 6-month intervention period. The observation group used 3D-printed models of key nursing-relevant organs; this paper partially presents those of the ovary, uterus, stomach, prostate, and kidney for clinical education and connected learning. Outcome measures included scores on physiology-related knowledge (nurse licensing examination simulation), Social Medical Curiosity (SMC), self-directed learning ability, mobile learning willingness, and Medical Students’ Transformative Learning Readiness (MSTLR).ResultsAfter the intervention, the observation group showed significantly higher scores than the control group in physiology knowledge (77.30 ± 9.65 vs. 67.36 ± 9.55, p 
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