ENHANCING
NURSING
EDUCATION
WITH AI
DEPLOYING QIMETA AT CAPITAL HEALTH
SCHOOL OF RADIOLOGIC TECHNOLOGY
MAY 2025
EXECUTIVE
SUMMARY
AI ISN’T A LUXURY–IT’S A
LIFELINE FOR HEALTHCARE
WORKERS
The Challenge
Workforce development is a national priority
—especially in healthcare, where shortages
threaten the quality and accessibility of care.
The U.S. faces an urgent gap in skilled
professionals, particularly in nursing, where
more than 100,000 positions remain unfilled
across the country .
4
Despite rising demand, many students
struggle to complete the academic path to
these careers. Courses like Radiation
Technology are often cited as bottlenecks:
they require mastery of difficult scientific
concepts that can discourage students from
continuing. These challenges are especially
steep for learners facing systemic barriers like
low adult literacy rates, under-resourced
schools, or a shortage of qualified instructors.
Without intervention, these barriers slow
down progress toward growing a more
inclusive, well-prepared nursing workforce.
Real World Problem
Radiation Technology is one of the most
demanding courses in nursing programs. It
covers complex material like radiation
physics, ionization energy, and cell biology
all critical for working with imaging equipment
like MRIs and CT scanners. Many students
report feeling overwhelmed by the volume
and complexity of content, leading to lower
retention and increased dropout risk.
AI tools are becoming more common in
classrooms, but not all of them are built with
student comprehension in mind. A review of
69 studies (Deng et al., 2024) found mixed
results: while AI can improve motivation and
understanding, it can also lead to confusion
when not implemented thoughtfully. Most of
this research focused on college-level
learners86% of studies—with little data on
early-stage training or nontraditional
students.
If students continue to struggle with
foundational science courses, many may
never reach clinical training. Thats why tools
like QiMeta must be carefully designed and
evaluated—with a focus on actually helping
students succeed in nursing education.
Results and Impacts
Rather than offering shortcuts, QiMeta turns
standard lecture materials into interactive,
student-friendly learning experiences. It
highlights key concepts, defines unfamiliar
terms, and lets students ask contextual
questionsall within the course content
theyre already using.
The overwhelmingly positive student
feedback and strong satisfaction ratings
highlights QiMetas potential to make
education more accessible and engaging.
While we’re still evaluating long-term
outcomes, early results show that
thoughtfully applied AI tools like QiMeta can:
Bridge Learning Gaps
Keep Students on Track
Empower the next generation of
healthcare professionals
BACKGROUND
CHALLENGES IN WORKFORCE
READINESS AND NURSING
EDUCATION
Across the United States, institutions are
facing mounting challenges in workforce
development, particularly in the healthcare
sector. Persistent labor shortages, low
literacy rates, and training bottlenecks
have created systemic barriers to
economic mobility and workforce
readiness. The situation is particularly
acute in nursing education.
Nursing Shortages in the US
1.2 million additional nurses will be
needed by 2030 to meet healthcare
demand .
1
There is currently a 10% shortage in
Registered Nurses (RNs), translating to
approximately 350,540 unfilled positions .
2
Between 2022 and 2024, over 138,000
nurses exited the workforce .
3
Nearly 40% of remaining nurses report
plans to leave the profession by 2029.
Education pipeline constraints: Nursing
schools are unable to scale due to faculty
shortages and limited clinical
placements .
4
US Literacy Challenges
21% of U.S. adults are considered
illiterate .
5
A staggering 54% read below a 6th-grade
level, impacting their ability to complete
training and certification programs .
5
Among adults lacking proficiency, 34% are
foreign-born, underscoring the need for
targeted literacy solutions.
Estimated annual economic cost of low
literacy: $2.2 trillion .
6
Workforce Development & Job
Market Gaps
7.6 million job openings reported in the
U.S. as of February 2025 .
7
3.8 million new manufacturing jobs
expected by 2033 .
8
However, 1.9 million of those roles may go
unfilled due to lack of qualified workers.
Many Americans require retraining to
bridge the skills gap and fill high-demand
roles .
9
These challenges demand innovative,
scalable solutions that address both the
supply of qualified professionals and the
barriers to accessibility in education.
QiMeta was developed as a tool to bridge
these gaps—making complex material
more digestible, reducing dependence on
instructor time, and boosting
comprehension and confidence across
varied literacy levels.
NURSING
CHALLENGES
ADDRESSING THE NURSING
SHORTAGE AT ITS CORE:
EDUCATION AND INCLUSIVTY
The Equity Problem
Nursing education remains difficult to access
and succeed in for many students. Courses
like Radiation Technology demand a strong
foundation in subjects like physics and cell
biology—topics that are essential for work
with MRIs and CT scanners, but which many
students havent mastered by the time they
enter nursing programs. These challenges are
especially steep for students from under-
resourced academic backgrounds, where
these subjects may not have been taught in
depth. For them, courses like this often
become roadblocks.
Diversity in STEM
Women and students from underrepresented
racial and ethnic backgrounds remain
disproportionately excluded from many STEM
pathways, particularly in technical fields.
According to the NSF, women earned just 35%
of STEM bachelors degrees in 2022—only 21%
in engineering and 19% in computer science.
Racial gaps are just as stark: Black workers
made up 11% of the total U.S. workforce but
only 6.9% of STEM roles, while Hispanic
workers made up 18% of the workforce but
held just 13.5% of STEM jobs.
While nursing draws more women overall,
technical subfields like radiologic technology
often reflect the same barriers seen across
STEM—gaps in prior academic preparation,
limited exposure to advanced science
coursework, and structural filters that make it
harder for marginalized students to persist
through the most difficult parts of the
curriculum.
Figure 1: Underserved communities face greater difficulty in
entering STEM fields.
Why This Matters
A lack of diversity in nursing and related
technical fields not only limits who gets to
participate in these careers, but also reduces
the range of ideas and innovation within
healthcare. Bridging these education gaps
especially in foundational science coursework
—is critical to developing a workforce that is
both inclusive and prepared to meet future
healthcare demands.
Figure 2: Female students continue to be disproportionately
represented in STEM college degrees
SOLUTION
The Radiation Technology course has been
taught by an experienced instructor who
has developed her own slides to simplify
and present the material effectively. An
example of the slides is given to the right in
Figure 3.
Key Enhancements
The Radiation Technology course has been
taught by an experienced instructor who
has developed her own slides to simplify
and present the material effectively. An
example of the slides is given to the right in
Figure 3.
Key Enhancements
QiMeta integrated seamlessly with existing
course materials to make difficult concepts
easier to grasp and faster to review. These
tools helped reduce student frustration,
increase engagement, and improve study
efficiency.
Clarifies Difficult Concepts Instantly
QiMetas Intelligent Highlighting draws
attention to complex terms and
essential facts, helping students focus
on what matters most. Students
reported that this saved them time
during review and helped them feel less
overwhelmed.
Makes Content More Approachable
With Interactive Definitions, students
could click on highlighted terms to see
simplified explanations, tailored to their
learning level. This gave them the
confidence to keep up—even when core
science topics felt intimidating.
Provides On-Demand Support
The Ask QiMeta chatbot allowed
students to ask questions directly from
within the slides. It provided fast,
accurate responses using real course
content—like having a tutor available
anytime, without needing to schedule
extra help.
Figure 3: Original slide
Figure 4 - QiMeta enhanced slide, highlighting difficult
concepts. A sample definition is shown for “Hormesis”
Figure 5 - Users can use “Ask QiMeta” to support deeper
comprehension and more personalized learning
DEPLOYMENT
PROCESS
Structured Deployment Approach
Content Selection:
The instructor selected existing lecture slides and
reading materials to be enhanced—no need to
redesign or rewrite content from scratch.
AI Enhancement:
QiMeta automatically identified complex terms and
inserted learning tools. The instructor could quickly
review and approve suggested highlights and
definitions.
The implementation of QiMeta in the Radiation
Technology course followed a clear, five-step
rollout that minimized disruption and maximized
student benefit:
LMS Integration:
Enhanced materials were provided as links that
were added to the school’s learning management
system (LMS), keeping all resources in one familiar
place for students.
Classroom Introduction:
In the first week, students received a 10-minute
walkthrough on how to use the enhanced slides—no
special training required.
Student Support & Feedback Collection:
QiMeta staff visited again the following week to
answer questions and gather feedback. At the end
of the course, students completed a survey on
their experience.
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2
3
3
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5
5
Content
Selection
AI
Enhancement
LMS
Integration
Classroom
Introduction
Support &
Feedback
Student Feedback
Students consistently highlighted how
QiMeta helped them better understand
complex concepts and study more
effectively. Many appreciated its simplicity,
responsiveness, and accessibility across
devices—making it easier to focus and retain
material in a demanding course. Below are
direct testimonials:
“For the first time, I really saw firsthand just
how much it helped me retain the content.
Specifically, it helped me remember not to
mix up the steps of the Cell Cycle and Cell
Division (mitosis)... I get very easily distracted
while studying, so I’m grateful to have this
tool at my fingertips.
“QiMeta helped a lot with better explaining
somatic cells vs. genetic cells and how they
divide into daughter cells. I also appreciated
that I was able to use QiMeta on my laptop,
phone, and iPad... which can be inconvenient
if I dont have my computer with me.
RESULTS AND IMPACT
“Rather than get distracted trying to scan my
books for specific material, QiMeta allowed
me to gain a deeper understanding without
overwhelming me... It filtered the content
down to the core concepts, and if I needed
further information, it provided more details.
“I liked that difficult concepts were already
highlighted with definitions/explanations
readily available.
AT MY
FINGERTIPS
helps stay on track
reliable
& efficient
At a Glance: What students valued most — focus, clarity,
access, and ease of use.
Teacher Feedback
Teachers also shared how QiMeta helped
their students stay focussed, understand
complex materials more easily, and engage
more deeply with the content. Below are
direct testimonials:
The embedded links kept the students more
interested in the material because they could
instantly explore an idea they were curious
about.” -Karen D. Wheeler, MS, MMP, DABR -
Medical Physicist
Students did not have to leave the content
they were reading to "google" a topic for
further explanation. AI certainly kept them
more focused and less distracted. When
students "google" topics for further
explanations, it is difficult to assess the
authenticity of the referenced material.
Ultimately, I believe this will result in better
long term retention of course content.
-Theresa Levitsky, MA, RT - Program Director
“Being able to "engage" with the AI enhanced
material is a great feature since it enables
students to ask specific questions based on
their current level of understanding and their
learning styles.” -Theresa Levitsky, MA, RT -
Program Director
Survey Results
A student survey conducted at the end of the
course showed strong satisfaction with
QiMeta’s learning tools:
Overall satisfaction: 4.3 out of 5
Perceived effectiveness as a learning
tool: 4.0 out of 5
These scores reflect how students valued the
accessibility, clarity, and support QiMeta
provided throughout the course.
Satisfaction Eectiveness
Satisfaction Eectiveness
0
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3
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Student Survey Results
Figure 6 - Student satisfaction and effectiveness
of learning were rated high.
Academic Performance
Student test scores were analyzed to
compare outcomes between cohorts using
standard materials and those using QiMeta.
The results are still early — no statistically
significant differences yet — but test
conditions were consistent (no AI assistance),
and the Class of 2025 (AI assistance used for
learning and studying) performed comparably
to prior years.
With only 12 students in this pilot group, more
data is needed to assess long-term academic
impact.
Data is pictured in Figure 7
Figure 7 - 2025 test performance after learning with QiMeta
were comparable, but more data needed
Analysis
QiMeta may not dramatically change test
scores in the short term, but students
consistently reported that it made content
easier to understand and less frustrating to
review. For academically rigorous courses,
even modest improvements in
comprehension and accessibility can be
meaningful.
Student feedback also suggested that QiMeta
helped simplify dense material and
potentially reduce the time needed to study
effectively. While not yet measured formally,
these are promising areas for future research
as we continue to evaluate the tools long-
term impact on student performance and
engagement.
QiMeta was designed to help students
overcome some of the most persistent
challenges in education—especially in
complex, technical subjects. While test
score impact is still being studied, students
consistently report that it makes reading
easier, studying more focused, and learning
more engaging.
QiMeta keeps students focused by eliminating the need
to leave the page for definitions.
When students hit a block, QiMeta delivers instant,
contextual support.
CONCLUSION
Impact on Nursing Education
The deployment of QiMeta at Capital Health School of
Radiologic Technology demonstrated the potential of AI-
enhanced learning in unfamiliar subject areas such as
radiation physics for nursing students. Students
appreciated the interactive, accessible, and personalized
learning experience, and their feedback suggests QiMeta
helped them stay focused and better understand difficult
concepts.
By integrating AI into nursing education, Capital Health is
taking a proactive approach to enhancing student
learning and better preparing the next generation of
healthcare professionals.
Workforce Development
Implications
While this case study focuses on nursing education, the
challenges it addresses—such as low literacy levels,
limited instructor capacity, and the need for scalable,
high-quality training—are shared by many industries
seeking to modernize workforce development. QiMeta
offers a flexible, replicable model for institutions looking
to enhance training and learning outcomes with minimal
disruption to existing operations.
By leveraging instructors’ existing content, QiMeta
streamlines the process of integrating AI into workforce
training. Its intuitive platform transforms static materials
into dynamic, interactive learning experiences that
promote comprehension, engagement, and accessibility.
The deployment process is designed for ease of adoption:
Content Selection – Instructors identify existing
materials (e.g., slides, readings) that would benefit
from AI enhancement.
AI Integration – Instructors can either apply highlights
themselves or opt for QiMetas support team to
enhance content as part of the subscription service.
Distribution – Students receive direct access to the
AI-enhanced content via shareable links, enabling
immediate integration into classroom or self-paced
learning environments.
Future Directions
Although early test score data has yet to demonstrate a
statistically significant improvement, the overwhelmingly
positive student feedback signals strong potential for
long-term educational benefits. Moving forward, Capital
Health is expanding QiMetas implementation to
additional nursing courses and other technical
disciplines. Larger-scale evaluations will help assess the
platform’s effectiveness across broader learning
contexts.
Future impact assessments will include quantitative
metrics such as:
Course performance and grade improvement
Course completion rates
Student retention and engagement levels
For workforce development institutions adopting QiMeta,
relevant metrics may also include:
Job placement rates among program graduates
Instructor workload reduction and time reallocation
Reduced remediation needs for foundational skills
QiMetas long-term value lies in its ability to address two
of the most persistent challenges in education and
training: low literacy rates and insufficient representation
in STEM. According to the National Center for Education
Statistics, 54% of U.S. adults read below a sixth-grade
level—a sobering statistic with significant implications for
workforce readiness. By making complex content more
accessible and less intimidating, QiMeta has the potential
to improve literacy outcomes and support equitable
access to high-demand STEM fields.
As demonstrated through this pilot, QiMeta offers a
scalable, low-friction approach to enhancing content
comprehension—empowering learners without
encouraging dependency. Its mission is to close
educational gaps and uplift communities through AI-
powered knowledge enhancement. By reducing barriers
to learning, supporting under-resourced educators, and
fostering curiosity-driven engagement, QiMeta aims to
drive transformational impact across education,
employment, and economic equity.
REFERENCES
1. USAHS. (2024). Understanding the Nursing Shortage: Causes and
Solutions. University of St. Augustine for Health Sciences.
Retrieved from https://www.usa.edu/blog/nursing-shortage/
2. Nightingale College. (2024). Nursing Shortage by State:
Projections & Data. Retrieved from https://nightingale.edu/blog/
nursing-shortage-by-state.html
3. National Council of State Boards of Nursing (NCSBN). (2024).
Nursing Workforce Study 2022-2024. Retrieved from https://
www.ncsbn.org/research/recent-research/workforce.page
4. American Association of Colleges of Nursing (AACN). (2023). Fact
Sheet: Nursing Shortage. Retrieved from https://
www.aacnnursing.org/news-data/fact-sheets/nursing-shortage
5. National Literacy Institute. (2024). Literacy Statistics 2024-2025:
Where We Are Now. Retrieved from https://
www.thenationalliteracyinstitute.com/post/literacy-
statistics-2024-2025-where-we-are-now
6. Nietzel, M. T. (2020, September 9). Low Literacy Levels Among
U.S. Adults Could Be Costing The Economy $2.2 Trillion A Year.
Forbes. Retrieved from https://www.forbes.com/sites/
michaeltnietzel/2020/09/09/low-literacy-levels-among-us-adults-
could-be-costing-the-economy-22-trillion-a-year/
7. U.S. Bureau of Labor Statistics. (2025, February). Job Openings
and Labor Turnover – February 2025. U.S. Department of Labor.
Retrieved from https://www.bls.gov/news.release/jolts.nr0.htm
8. Investopedia. (2024). Why Half of the New U.S. Manufacturing
Jobs in the Next Decade Could Go Unfilled. Retrieved from https://
www.investopedia.com/why-half-of-the-new-us-manufacturing-
jobs-in-the-next-decade-could-go-unfilled-8627559
9. Financial Times. (2023). America’s Skills Gap: How Retraining
Could Close the Jobs Deficit. Retrieved from https://www.ft.com/
content/aafd3d6e-9518-46b4-ab2f-9bacf4f9a442
10. Deng, Z., Lin, X., Zheng, Y., & Liu, J. (2025). Does ChatGPT
enhance student learning? A systematic review and meta-analysis
of experimental studies. Computers & Education, 227, 105224.
https://doi.org/10.1016/j.compedu.2024.105224
Institutions across healthcare,
manufacturing, education, and beyond
can benefit from piloting QiMeta as an AI
tool to bridge skill gaps, support instructor
capacity, and promote learner autonomy.
CAN QIMETA HELP
YOUR INSTITUTION?
C O N T A C T U S
Founder and CEO,
Ruhul Quddus
Princeton, NJ
www.qimeta.ai.com
rquddus@qianalysis.com
@QiMeta on LinkedIn
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