College of Public Health

Machine Learning in Health Care

Can AI help make medical records less biased? New study suggests yes—with caveats

Heather Carroll — Fri, 10 Jul 2026 16:50:49 +0000

Can AI help make medical records less biased? New study suggests yes—with caveats Heather Carroll Fri, 07/10/2026 - 12:50

Large language models can identify judgmental language in clinical notes but the settings play a major role in accuracy.

Teenu Xavier PhD, RN. Photo provided

“Addict,” “non-compliant,” “failed treatment,” and “obese person” are examples of stigmatizing language that can appear in medical records. At 91��’s College of Public Health, researchers are exploring whether artificial intelligence (AI) can help identify this kind of language in clinical notes before it impacts patient care.

Nurse scientist Teenu Xavier and colleagues found that large language models (LLMs) show promise in identifying stigmatizing language in clinical documentation, but their performance is highly dependent on their settings. Model size, temperature settings, prompting strategies, and even note type can substantially influence results.

One finding was consistent across every model tested: Providing examples of stigmatizing language improved accuracy.

“Simply selecting an LLM is not enough when used for clinical documentation,” said Xavier, an assistant professor in the School of Nursing. “Careful attention must be paid to settings and prompting before these tools can be reliably used in health care environments.”

Why does this matter?

The use of stigmatizing language in clinical documentation can reinforce bias and affect a patient’s future care. AI tools may be able to help identify this kind of language, promoting more equitable care and improving patient trust and experience.

“Pre-trained models, when optimized for identifying stigmatizing language, could help enable more timely interventions and modifications to the documentation process,” Xavier said. “Our research highlights the need for continued collaboration between health care professionals and AI developers to create tools that improve communication, reduce bias, and improve the overall patient experience.”

What are the detailed study findings?

The largest LLM (trained on large amounts of data) was the best at predicting “stigmatizing” language (94%), but the worst at predicting “not stigmatizing” correctly (47%).
The smallest LLM was the best at predicting “not stigmatizing” correctly (99.7%), but worst at predicting “stigmatizing” correctly (2%).
When researchers gave the LLM an example of stigmatizing language, accuracy improved in all models.
Emergency provider notes were most accurately (69%) categorized as “stigmatizing” or “non-stigmatizing,” and plan of care notes had the lowest accuracy (56%). Misclassifications most commonly arose in long, clinically dense notes where neutral descriptions of complex illness or adverse events were mistaken by the models for judgmental language.
Larger models worked best at lower temperature (how predictable or random the LLMs’s output is when making a classification) and smaller models improved with higher temperature, which means the LLM took more risks in interpretation.

“Detecting stigmatizing language with large language models: mind the settings” was published in JAMIA Open in April 2026. Co-authors include Jane M. Carrington from the University of Florida and Joshua Lambert from the University of Cincinnati.

Thumbnail photo by issaronow from Adobe Stock.

Key Takeaways

A George Mason study found that large language models show promise in identifying stigmatizing language in clinical documentation, but their performance is highly dependent on their settings, such as model size, temperature settings, prompting strategies, and note type.
The ability to detect and correct stigmatizing language early can reduce bias in patient care and lead to improved patient trust and better health outcomes.
Continued collaboration between health care workers and AI developers is needed to create tools that enhance communication, reduce bias, and improve the overall patient experience.

Learn about Artificial Intelligence at George Mason

Topics

large language models

Health Care Services

Artificial Intelligence

Katherine Scafide, PhD, RN, FAAN, FAAFS

The AI-powered classroom: tutors, avatars, and new models for learning

Mary Cunningham — Thu, 09 Jul 2026 19:17:45 +0000

The AI-powered classroom: tutors, avatars, and new models for learning Mary Cunningham Thu, 07/09/2026 - 15:17

As health informatics expert Sanja Avramovic introduces new artificial intelligence (AI) tools into her classrooms at 91��, she's also made a point of asking students what they think, both through formal research and casual conversation.

In one early experiment, Avramovic designed AI avatars to present course material in short, on-demand videos students could watch at their own pace. Some students balked a little, finding the digital instructors monotone and robotic. They said they preferred a human.

So Avramovic asked a follow-up question: Should she remove the videos?

AI avatar created by Sanja Avramovic. Image created by AI.

"They said, 'don't you dare,'" she recalled. "'They're excellent supplemental material. Leave them. But we want you to teach.'"

That push and pull has become a central dynamic at the College of Public Health, as faculty respond and adapt to the undeniable rise of AI in higher education. The question is no longer whether AI belongs in the classroom, but how to use it in ways that actively benefit students.

“The goal isn’t AI-free learning,” Avramovic said. “It’s AI-augmented thinking.”

Learning to think with AI

Sanja Avramovic, assistant professor in the Department of Health Administration and Policy

One challenge is persistent: How do you keep students learning when AI can provide answers in seconds?

Research by Avramovic, assistant professor in the Department of Health Administration and Policy Abdul Hafeez, and colleagues found that students can become overly dependent on AI-generated answers, reducing their engagement, interaction, and critical thinking.

Rather than prohibiting AI use, faculty developed and tested AI tutors that function more like coaches than answer generators, walking students through assignments one step at a time. In order to build them, instructors map out common mistakes and teach the systems how to respond in ways that promote deeper learning. “It interviews students,” Hafeez said. “It compels them to think critically.”

Early findings suggest this approach can help counter passive AI use, with students showing stronger performance and engagement than their peers. In one analysis, undergraduates using the tutors improved performance by nearly 9 percentage points.

Tempering the trust

Along with the enthusiasm for AI’s potential, faculty are just as focused on teaching students where the technology falls short.

Vanessa Chee, an assistant professor in the Department of Global and Community Health, warns students against relying on it too early in the learning process, likening it to “using roller blades when you’re crawling.”

In one global health course, Chee requires students to develop a 2,500-word narrative and a presentation proposing a public health intervention entirely on their own. Afterward, they use AI to generate a version of the same project, and compare the two.

That exercise is often revealing. Many students walk away disappointed by the quality of the generated work, but with a sharper understanding of what their own thinking contributes, Chee said.

Katherine Scafide, an associate professor in the School of Nursing, introduces AI early in the research process, using it to help students scan the literature and identify possible gaps worth investigating. But she draws a line between assistance and analysis. Students are expected to verify sources, refine their own research questions, and critically test whether AI summaries actually hold up.

"I encourage AI to assist in some structural aspects of writing, like outlining and grammar, but not to author the work," she said. " AI can be a writing tool, but it cannot be an author."

For Avramovic, the biggest concern is that students will trust AI too quickly. She recalled one student who relied heavily on AI while studying, learned flawed logic, and then repeated it on an exam.

“Don’t use AI until you know enough to correct it,” she tells her students.

Rebuilding the classroom

As AI changes how students learn, faculty are also rethinking how they create and deliver their own course content.

With one undergraduate health informatics class, Avramovic and colleagues realized that much of the content felt disconnected from the clinical realities that nursing students—who are required to take the course—would eventually face. So, the instructors used AI tools to rewrite assignments around nursing-specific scenarios, like identifying problems in electronic health records. They also introduced AI-generated videos narrated by digital avatars, guiding students through technical material.

The updates made a difference. Nursing students in the AI-redesigned course showed statistically significant learning gains, more than half said AI-generated videos were more helpful than assigned readings, and nearly four out of five reported that the tools improved their overall learning experience.

Farrokh Alemi, a professor in the Department of Health Administration and Policy, took a similar approach in his graduate statistics course, using AI to help deliver lectures and tutor students.

For students, the change meant more access to their instructor. “Because the AI handled a lot of mechanical tasks, I used the extra time to have more interactions with students, give them career advice, call up at-risk students, just be more available,” he said.

Evolving the toolkit

Faculty at the College of Public Health compare the current moment to earlier technological shifts in education, from the arrival of calculators in math classrooms to the rise of the internet and online learning.

Students still need to learn the fundamentals, faculty said, but once they understand the underlying concepts, AI can help them explore more complex problems and apply knowledge in new ways.

“You still need the human in the loop,” Avramovic said.

The technology continues to evolve quickly. But faculty say the larger goal remains to help students build the skills they’ll need in a world where AI is already becoming part of the job.

Key Takeaways

George Mason College of Public Health faculty are using artificial intelligence tools including AI tutors and digital avatars to enhance teaching and student learning.
Instead of prohibiting tools like ChatGPT, instructors are teaching students to think critically, verify AI outputs, and use AI responsibly.
AI is helping redesign courses, personalize learning, and prepare College of Public Health students for an AI-integrated workforce.

In This Story

Sanja Avramovic, PhD

Topics

Artificial Intelligence

innovative classes

Kyeung Mi Oh, PhD, MSN, RN, FAAN

GCI-Education

Sleep problems in dementia care linked more to emotional well-being than fear of falling

Heather Carroll — Tue, 07 Jul 2026 17:27:48 +0000

Sleep problems in dementia care linked more to emotional well-being than fear of falling Heather Carroll Tue, 07/07/2026 - 13:27

Key Takeaways

For dementia care recipients, positive emotion was associated with better sleep, while psychological distress, like depression and anxiety, was associated with worse sleep among caregivers.
Though the study found that fear of falling was associated with poorer sleep for both partners, emotional well-being ultimately showed a stronger association with sleep than fear of falling itself.
This study by 91�� researcher Kyeung Mi Oh is the first to examine the relationships between fear of falling in older adults with probable or possible dementia and the subjective sleep quality of both care recipients and their spousal caregivers.

In This Story

While fear of falling has long been linked to poor sleep among older adults, new research from 91�� suggests emotional well-being may be an even stronger predictor of sleep quality for people with dementia and the spouses who care for them.

Dementia researcher Kyeung Mi Oh, professor in the School of Nursing. Photo provided.

In what is believed to be the first study of its kind, dementia researcher Kyeung Mi Oh examined how fear of falling and sleep quality interact within dementia caregiving couples where one partner has probable or possible dementia and the other serves as caregiver.

Falls are a common concern among older adults and can lead to reduced mobility, more frequent hospital visits, and limits on daily activities. Many individuals also develop a persistent fear of falling, causing them to avoid activities even when they are physically able. In dementia care, that fear can further increase caregiver burden and affect sleep for both partners.

Though the study found that fear of falling was associated with poorer sleep for both partners, emotional well-being ultimately was more strongly linked to sleep outcomes.

Why does this matter?

“These findings suggest that improving emotional well-being may be more important for sleep health in dementia care dyads than addressing physical health factors alone,” said Oh, professor of Nursing in 91��’s College of Public Health.

For care recipients, positive emotion was associated with better sleep, while psychological distress, like depression and anxiety, was associated with worse sleep among caregivers.

The results highlight the importance of assessing both physical and emotional factors in dementia care.

“Routine assessment of fear of falling, fall history, and psychological distress in both members of dementia care couples could help identify those at risk for poor sleep,” said Oh. “Clinically, interventions that promote emotional well-being and reduce psychological distress may improve sleep for both care recipients and caregivers, highlighting the need for a family-centered approach to dementia care.”

Key Findings:

Fear of falling was associated with poor sleep; however, after factoring in demographic, lifestyle, and health-related factors, positive emotion predicted lower insomnia severity in care recipients, while psychological distress predicted higher insomnia severity in caregivers.
Both fear of falling and recent falls were linked to worse insomnia for people with dementia and their caregivers.

Yeonsu Song from the University of California, Los Angeles co-authored the paper, “Fear of Falling and Sleep Disturbances in Spousal Care Dyads Affected by Dementia,” which was first published online in January 2026 in the Journal of Applied Gerontology.

Thumbnail photo By Koto Amatsukami from Adobe Stock.

Topics

Public health meets the AI moment

Mary Cunningham — Fri, 05 Jun 2026 14:08:44 +0000

Public health meets the AI moment Mary Cunningham Fri, 06/05/2026 - 10:08

91��’s AI in Public Health Summit examined what artificial intelligence (AI) could mean for health equity, education, and the future workforce.

The Future of Public Health in an AI-Enabled World with Dean Melissa Perry and Easan Selvan, National Director, Academic Medicine and Public Health, Microsoft. Photo by Heather Carroll/CPH

For a field built to prevent and respond to disruptions, public health now faces a defining new challenge: harnessing the rapidly evolving power of artificial intelligence.

“There are moments in every profession when it becomes clear that change is not simply coming, that it has already arrived,” said Robert Weiler, senior associate dean for academic affairs at the George Mason College of Public Health.

That urgency carried through George Mason’s inaugural AI in Public Health Summit, where conversations centered on what generative AI, machine learning, and large language models could mean for the future of research, education, and practice.

“Today’s meeting is not about AI,” said College of Public Health Dean Melissa Perry. “It’s about the future of public health.” The challenge, she argued, is not simply grasping AI, but preparing future public health professionals to leverage it in ways that benefit humanity.

To achieve that goal, the College of Public Health convened a brain trust of academics, practitioners, industry leaders, and students from across the country. Helping anchor the discussion was the Association of Schools and Programs of Public Health (ASPPH), whose AI task force is helping shape national conversations around responsible AI adoption in higher education and practice. According to ASPPH representatives, George Mason is “leading in this space” among its 150 member institutions.

Several themes emerged across the day:

We must lead or risk being left behind.

Keeping Public Health at the Center of AI: Reflections on the Association of Schools and Programs of Public Health Task Force Report. Photo by Heather Carroll/CPH

At this point, the debate has shifted from whether AI belongs in public health to how to use it responsibly and effectively.

“There’s no escaping it,” said Eduardo Ruiz, chief information officer for ASPPH, pointing to rapid adoption across health care systems, public health agencies, and higher education.

Arman Latif, chief information officer at the Virginia Department of Health, framed AI as “less of a tool, and more of a shift in mindset” for public health. While ethical, environmental, equity, and philosophical concerns abound, he argued that the field can't ignore a technology with such potential to improve operations and strengthen how agencies serve the public. “To not do it, in itself, is unethical,” he suggested.

In a field focused on prevention and “upstream thinking,” speakers pointed to the promise of AI to anticipate problems instead of reacting to them: forecasting outbreaks, detecting overdose trends earlier, identifying food insecurity patterns, and uncovering insights buried in massive datasets.

AI can assist, but humans still decide.

AI in Public Health Summit hosted by the College of Public Health at FUSE at Mason Square. Photo by Mary Cunningham/CPH

The summit’s optimism around AI came with a consistent caveat: the technology may support public health work, but it will never replace the people making decisions and serving communities.

Jamie Atchison, senior director of innovation and strategy at ASPPH, pointed to one of her group’s core recommendations: keep AI human-centered, using it as a tool for decision-makers rather than a replacement for human judgment.

In disease surveillance, for example, AI may help detect patterns and flag emerging outbreaks, but people still need to interpret findings and take action. AI may also help tailor public health messaging to specific populations, but humans remain responsible for judgment, nuance, and building trust.

“AI is a non-moral technology,” said Easan Selvan, national director of academic medicine and public health at Microsoft. “Whether or not we decide to use it for good … is incumbent upon” people and institutions, he said.

AI is a new social determinant of health.

Preparing the Public Health Workforce for an AI-Enabled Future: Practitioners' Perspectives panel with representatives from ICF, Virginia Department of Health, Fairfax County Health Department, and Association of State and Territory Health Officials. Photo by Heather Carroll/CPH

If public health gets AI right, speakers argued, the technology could help narrow longstanding health inequities. Get it wrong, and those gaps could deepen.

“The risks [are] that AI can be an inequity multiplier if we’re not careful, but in fact that is up to us,” Perry said.

AI is already influencing many drivers of health, from information access to employment and health services. “We’re really thinking of AI as a determinant of health,” Ruiz said.

Speakers repeatedly returned to one concern: AI systems reflect the data behind them. So, if that data excludes or underrepresents specific populations, the resulting tools risk reinforcing existing disparities.

AI could also improve equity, from identifying vulnerable populations earlier to helping smaller health departments and community organizations access tools and data once limited to better-funded institutions.

Classrooms are adapting in real time.

Banning AI outright in the classroom has become unrealistic, George Mason faculty and students emphasized during the summit’s student panel.

“People are going to be using it either way,” said biology major Anika Tahsin Siddiqui, arguing that faculty should set clearer expectations and encourage open conversation around AI use to reduce stigma.

Students described using AI to learn coding languages, organize notes, create visualizations and presentations, and study for exams. But they pushed back against AI as a substitute for learning itself.

Bridge-builders, translators, and critical thinkers are in demand.

Student Panel: Teach Us What We Need to Know: Student Voices on AI Skills for Public Health Practice. Photo by Heather Carroll/CPH

While AI literacy is quickly becoming nonnegotiable in public health roles, panelists repeatedly argued that deep technical mastery is not the end goal. Instead, they described a growing demand for “bridge professionals” who can move between worlds: understanding community needs, public health practice, and data systems well enough to connect them.

“The translator is really key,” said Tabatha Offutt-Powell, vice president for public health data modernization and informatics at the Association of State and Territorial Health Officials.

“Those who are early to understand, early to use, early to adapt will be the best prepared,” Ruiz said.

Stay tuned to the College of Public Health for deeper insights from specific panels, as well as recordings of the sessions.

Key Takeaways

91��’s College of Public Health convened academics, practitioners, industry leaders, and students from across the country to examine how public health can adapt to AI while keeping equity, ethics, and human judgment at the center
The inaugural AI in Public Health Summit centered on what generative AI could mean for the future of research, education, and practice.
Five main themes emerged from the event: (1) We must lead or risk being left behind. (2) AI can assist, but humans still decide. (3) AI is a new social determinant of health. (4) Classrooms are adapting in real time. (5) Bridge-builders, translators, and critical thinkers are in demand.

Learn more about AI at George Mason

Topics

Artificial Intelligence

Public Health

Social Determinants of Health

Machine Learning

Campus News

In This Story

Melissa J. Perry, Sc.D., MHS, MBA

Robert M. Weiler, PhD, MPH

Tip Sheet: How concerned should Americans be about Ebola?

Mary Cunningham — Mon, 01 Jun 2026 14:22:16 +0000

Tip Sheet: How concerned should Americans be about Ebola? Mary Cunningham Mon, 06/01/2026 - 10:22

In This Story

Amira Roess, PhD, MPH

With a new Ebola virus disease outbreak in Africa affecting global travel, epidemiologist Amira Roess shares why the risk to Americans is currently low and other frequently asked questions.

Colorized transmission electron microscopic image showing the filamentous and curved morphology of an Ebola virus particle. Photo by CDC/Frederick A. Murphy via Public Health Image Library.

As of May 31, 2026, cases of Ebola virus disease have been spreading in the Democratic Republic of Congo and Uganda for several weeks. No cases have been reported in the United States because of this outbreak. However, due to Ebola’s highly infectious nature, major U.S and other global international airports have increased travel screening, entry restrictions, and public health measures to prevent the spread of this disease.

Epidemiologist Amira Roess previously worked on Ebola prevention as an epidemic intelligence service officer (i.e., disease detective) at the Centers for Disease Control. She also was the principal investigator on a grant studying Ebola prevention in Guinea during the West Africa outbreak in 2014-2016. Roess shares her expertise to answer frequently asked questions concerning Ebola.

How concerned should Americans be about Ebola right now?

The overall risk to Americans is currently low with no cases of Ebola reported in the U.S. because of the recent Congo outbreak as of May 31, 2026.

How does Ebola spread?

Ebola spreads through direct contact with the bodily fluids (such as blood or saliva) of an infected person or animal. Ebola does not spread through the air the way the flu does, so you cannot get the disease from being near someone for a short period of time or passing them in public.

Though Ebola is not highly contagious because it does not spread through the air the way the flu virus does, Ebola is highly infectious, meaning even a small amount of contact with the virus can lead to severe effects.

What are the symptoms of Ebola?

Ebola symptoms begin with fever, aches, pains, and fatigue, and progress to diarrhea, vomiting and unexplained bleeding. Other symptoms may include chest pain, shortness of breath, confusion, red eyes, skin rash, hiccups, and seizures. Symptoms may start between 2-21 days, but typically appear between 8-10 days after exposure.

These symptoms can indicate a lot of other illnesses, and there is little risk of Ebola to anyone who has not come in contact with an infected person.

How deadly is Ebola? Is there a cure?

Ebola is a very deadly disease with a death rate between 25% to 50% depending on the strain, but has been up to 90% with previous outbreaks and strains. There are no licensed vaccines or treatments currently available for the Ebola strain responsible for the current 2026 outbreak in the Democratic Republic of Congo. Early supportive treatment is key to increasing the survival rate, and public health measures and contract tracking are key to preventing the spread of the disease.

Learn more about Ebola from the Centers for Disease Control and Prevention.

MEDIA INQUIRIES: For reporters who wish to speak to Dr. Roess about Ebola or other infectious diseases, please email media contact Michelle Thompson at mthomp7@gmu.edu.

Amira Roess is a professor of global health and epidemiology at 91��'s College of Public Health, Department of Global and Community Health. She served as an Epidemic Intelligence Service officer at the CDC (a disease detective), where she worked on Ebola prevention in the Congo region among other infectious diseases. In 2015, Roess was co-investigator on a National Science Foundation (NSF) grant to study the ethnic, cultural and spiritual beliefs about Ebola virus disease among villagers and health care workers in the West African country of Guinea. She is an epidemiologist with expertise in infectious diseases epidemiology, multidisciplinary and multi-species field research and evaluating interventions to reduce the transmission and impact of infectious diseases. Roess oversees several longitudinal studies to understand emergence and transmission of zoonotic infectious diseases globally, including the emergence and transmission of Campylobacter (with support from The Bill and Melinda Gates Foundation), MERS-CoV (with support from the U.S. National Science Foundation), and the development of the microbiome during the first year of life. She studies links between food animal production and emerging infectious and zoonotic diseases emergence globally, and the effects of human and animal encounters on health and well-being. Find more information about her research here.

Roess’ peer-reviewed papers related to Ebola:

About George Mason University
91�� is Virginia’s largest public research university. Located near Washington, D.C., Mason enrolls more than 40,000 students from 130 countries and all 50 states. Mason has grown rapidly over the past half-century and is recognized for its innovation and entrepreneurship, remarkable diversity, and commitment to accessibility. In 2023, the university launched Mason Now: Power the Possible, a one-billion-dollar comprehensive campaign to support student success, research, innovation, community, and stewardship. Learn more at gmu.edu.

About College of Public Health at 91��

The College of Public Health at 91�� is the first College of Public Health in Virginia and a national leader in inclusive, interprofessional, public health research, education, and practice. The college comprises public health disciplines, health administration and policy, informatics, nursing, nutrition, and social work. The college offers a distinct array of degrees to support research and training of professionals dedicated to ensuring health and well-being for all. The college’s transdisciplinary research seeks to understand the many factors that influence the public’s health and well-being throughout the lifespan.

Topics

Master of Health Administration

From capstone to clinical operations: MHA alumna builds a career in health care operations

Mary Cunningham — Fri, 29 May 2026 15:02:04 +0000

From capstone to clinical operations: MHA alumna builds a career in health care operations Mary Cunningham Fri, 05/29/2026 - 11:02

Key Takeaways

Translating Theory into Practice: Core MHA coursework, such as quality measurement, healthcare data analytics, and health law, directly translates into real-world administrative success within major health systems.
The Power of an Impactful Capstone: George Mason's capstone projects allow students to solve real-world operational challenges, such as telehealth resiliency for community clinics, creating a powerful portfolio piece that bridges the gap between graduate school and career entry.
Building a Foundation for Leadership: George Mason's MHA program provides graduates with the technical foundation, compliance knowledge, and data-driven decision-making skills required to confidently step into critical healthcare operations and patient access roles upon graduation.

Topics

CPH students

Alumni

Poojya Bommannan, MHA ’25, is applying the operational and analytical skills she developed in the Master of Health Administration program at 91�� in her current role as a Patient Services Coordinator at Baylor Scott & White Institute for Rehabilitation in Texas.

Poojya Bommannan, MHA ’25. Photo provided.

In her role, Bommannan manages front-end operations and revenue cycle workflows in a high-volume rehabilitation setting. Her responsibilities include coordinating patient access processes, managing insurance authorizations and documentation workflows, and supporting communication between clinicians and patients to help ensure seamless care transitions.

“I act as the operational hub,” Bommannan said. “I make sure the administrative side of healthcare never hinders the patient’s recovery journey.”

Bommannan pursued a degree in healthcare administration to better understand how healthcare systems operate behind the scenes.

“I realized early on that while clinicians save lives, administrators save the systems that allow clinicians to do their work,” she said.

Why George Mason’s MHA was the right program

She chose George Mason’s MHA program because of its proximity to Washington, D.C., and its strong reputation for combining healthcare management, health informatics, finance, and policy into a well-rounded curriculum. Throughout the program, Bommannan said the coursework challenged her to think critically about health care systems, leadership, and data-driven decision-making.

Several courses and faculty mentors helped shape her professional perspective. She credits HAP 750 Legal Issues, taught by Adjunct Professor Brian Santo, with strengthening her understanding of ethical decision-making and risk mitigation. She also noted that HAP 698 Quality Measurement, taught by Adjunct Professor Keri Christensen, changed the way she approaches healthcare data and process improvement.

One of the most impactful experiences during her time in the program was completing her capstone project on telehealth and patient-access innovation. Her project developed a telehealth policy and workflow for College of Public Health’s MAP Clinics to help ensure continuity of care during weather-related clinic closures. Her work on the project earned her the department’s Innovation in Patient Access Award in May 2025, in recognition of her capstone executive brief and presentation.

“The inspiration came from a need for operational resiliency,” Bommannan said.

Her capstone introduced a virtual workflow model using Zoom breakout rooms, interpreter integration for bilingual accessibility, nursing student intake support, and standardized patient coordination procedures. Bommannan also collaborated with clinical leadership to identify operational barriers and develop recommendations for integrating telehealth processes into existing clinic workflows.

Prepared for the health care workforce

Through capstone work, applied coursework, and real-world problem solving, the program prepared Bommannan to navigate the operational realities of modern healthcare systems. She said the experience taught her how to identify operational bottlenecks and anticipate challenges before they affect patient care.

“The biggest takeaway was understanding patient coordination and waiting room management logic,” Bommannan said. “I still apply those principles every day.”

Since graduating in May 2025, Bommannan said she is most proud of successfully transitioning from graduate school into a major health system environment while maintaining the professional standards emphasized throughout the program.

“I’ve taken pride in being a guardian of compliance within my clinic,” Bommannan said. “The MHA program gave me the confidence and technical foundation to advocate for operational excellence.”

As she continues to build her career, Bommannan hopes to move into healthcare consulting or leadership roles in health system operations focused on improving patient access and operational efficiency, while remaining connected to the George Mason community through alumni engagement and student mentorship.

Advice for MHA students

For current or prospective MHA students, she encourages them to approach internships, capstones, and early career opportunities with professionalism and integrity.

“Pick a capstone topic that solves a real problem,” Bommannan said. “It becomes one of the strongest portfolio pieces you’ll have.”

George Mason sends record number of students to National Conference on Undergraduate Research

Katarina Benson — Tue, 26 May 2026 14:23:23 +0000

George Mason sends record number of students to National Conference on Undergraduate Research Katarina Benson Tue, 05/26/2026 - 10:23

This April, 63 91�� students presented their research at the National Conference on Undergraduate Research (NCUR) in Richmond. NCUR is dedicated to promoting undergraduate research across disciplines. This year marked George Mason’s highest attendance to date, and many students were able to attend due to support from the Office of Student Creative Activities and Research (OSCAR).

Students listen to a speaker at the National Conference on Undergraduate Research. Photo provided

For Karen T. Lee, associate director of OSCAR, accompanying the students to NCUR each year is one of her favorite parts of the job. “Sharing results is the ultimate step in completing a research or creative project, and sharing them at a national conference like NCUR allows students to contribute to the body of knowledge in their field, and to meet students and faculty working on similar projects and learn to network as professionals,” she said. “Having this experience as an undergraduate, early in their career, is a real boost in their confidence.”

Both Michael Kaleem, a junior majoring in community health with a concentration in clinical science, and Auj Atteeq, a senior majoring in computational and data science, were supported by OSCAR grants this year.

Kaleem with his research poster. Photo provided

For Kaleem, NCUR was the first time he has presented his research outside of George Mason. With his project, “Rest and Results: The Relationship Between Sleep, Stress, and Grade Point Average (GPA) in Undergraduates,” Kaleem found that while sleep didn’t necessarily affect students’ GPA, students’ stress levels influenced both their sleep quality and their academic performance.

A member of the Honors College and OSCAR's Undergraduate Research Scholars program, Kaleem credits Lee and his mentor Ali A. Weinstein, a professor of global and community health, for helping him hone his research skills. He hopes to work in the health care field in the future and plans to continue his studies at George Mason and pursue an accelerated master's in public health with a concentration in health policy.

In her project, “Thermal Stress Impact on Global Bleaching Events,” Atteeq found a positive correlation between sea surface temperature and coral reef bleaching across the globe. Essentially, rising temperatures disrupt the homeostasis of coral reef systems, causing them to turn white and become vulnerable to starvation and disease. Coral reefs support at least a quarter of all marine life, making Atteeq’s research incredibly important.

Atteeq with her research. Photo provided

Atteeq originally began her research as a final project for one of her computational and data sciences classes. OSCAR staff member Kim Seligman encouraged her to continue the work and apply to attend NCUR. She received a travel grant from OSCAR to attend the conference. In the future, Atteeq wants to continue her research on climate science and plans to pursue a career in academia.

Explore Research at George Mason

Learn more about OSCAR

Topics

Office of Student Scholarship Creative Activities and Research (OSCAR)

bachelor of science in community health

College of Science

Gap in treatment for adolescent cannabis users puts young adults at risk

Heather Carroll — Mon, 18 May 2026 14:38:11 +0000

Gap in treatment for adolescent cannabis users puts young adults at risk Heather Carroll Mon, 05/18/2026 - 10:38

A study by 91��'s Panagiota Kitsantas and colleagues reveals patterns of treatment delays for youth with cannabis use disorder.

Panagiota Kitsantas

Teens may turn to marijuana use for many reasons: curiosity, stress relief, peer pressure, help with mental health, or for the positive feelings of being “high.” However, there is a difference between casual use and reliance on cannabis to function. Cannabis use disorder (CUD) is the persistent use and reliance on marijuana despite it causing physical or social harm.

Despite the well-documented health impacts, especially for youths, receiving treatment is not simple. Research by Panagiota Kitsantas found that nearly one in three adolescents with CUD experienced delays in accessing much-needed care.

“There are persistent and rising barriers to timely treatment. There are variations in access speed across referral processes, suggesting system-level improvements are needed,” said Kitsantas, professor and interim chair of the College of Public Health Department of Health Administration and Policy (HAP). Hong Xue, associate professor in the HAP department, was one of the study’s co-authors.

Kitsantas’ newly published research addresses key research gaps of patterns and predictors of treatment delays among U.S. adolescents with CUD. In particular, younger adolescents, males, White non-Hispanic youth, and those in residential rehabilitation and outpatient settings experienced more delays.

Why this matters

Despite treatment delays declining between 2012 and 2018, the rate of youth experiencing treatment delays has steadily risen since then.

For younger people, cannabis use can have negative impacts on brain development, impairing thinking, memory, problem-solving, learning, coordination, and attention. Cannabis use in adolescence has been linked to poor academic performance, including increased risk of school dropout and lower likelihood of seeking higher education.

Delving into the research

Kitsantas and the research team identified critical findings about CUD treatment and youth:

About 31% of adolescents experienced treatment delays for cannabis use disorder.
Despite treatment delays declining through 2018, they increased by 2022.
Younger adolescents (12–14), males, and White non-Hispanic youth were more likely to experience treatment delays.
Youth referred for treatment through health care systems were more likely to experience treatment delays compared to those who self-referred.
Adolescents in rehabilitation/residential and outpatient settings experienced more delays than those in detox services, suggesting system-level variation in access speed.

Admission Delays in Receiving Treatment for Cannabis Use Disorder among US Adolescents was published April 2026 in the American Journal of Preventive Medicine.

“I hope this research draws attention to the growing and preventable problem of delayed treatment for adolescents with cannabis use disorder. Ultimately, the goal is to promote timely access to treatment and improve long-term outcomes for adolescents while easing the broader public health burden of substance use,” said Kitsantas.

Thumbnail photo by Stephen Cobb via Unsplash.

Key Takeaways:

Research by Panagiota Kitsantas, professor in the College of Public Health Department of Health Administration and Policy, reveals that one in three adolescents with cannabis use disorder does not receive timely treatment.
Younger adolescents, males, White non-Hispanic youth, and those in residential rehabilitation and outpatient settings experienced more treatment delays.
Cannabis use can have negative impacts on brain development for adolescents and has been linked to poor academic performance.

Learn more about the College of Public Health

In This Story

Panagiota Kitsantas, PhD

Hong Xue, PhD

Topics

Cannabis

marijuana

Child and Adolescent Health

In the George

Nutrition support during pregnancy improves birth outcomes, global study finds

Heather Carroll — Thu, 14 May 2026 15:07:07 +0000

Nutrition support during pregnancy improves birth outcomes, global study finds Heather Carroll Thu, 05/14/2026 - 11:07

91��-led research finds that food-based prenatal supplements improve birth weights across Africa and South Asia.

Dongqing Wang of the 91�� College of Public Health

In parts of the world where daily nutrition is unstable, pregnancy and newborn health are more precarious. A new study led by epidemiologist Dongqing Wang of the 91�� College of Public Health adds to the evidence that improving maternal nutrition during pregnancy may be a key intervention to improve birth outcomes.

Looking across eight clinical trials across Africa and South Asia, the study finds that balanced energy and protein (BEP) supplements—food-based products like beverages or nutrient-dense pastes designed to increase calorie and protein intake—are associated with healthier birth weights and fewer high-risk newborns in low- and middle-income countries. The findings were published in PLOS Medicine.

“In settings where pregnant women can’t access sufficient calories and protein, it is important to act early,” said Wang, an assistant professor of epidemiology in the Department of Global and Community Health. “Improving maternal nutrition can reduce the risk of vulnerable birth outcomes.”

Why this matters

Maternal malnutrition puts infants at higher risk of death, illness, and developmental delays.

Interventions have often focused on micronutrient supplements, but this study shows that food-based approaches to increase calorie and protein intake may better support fetal growth. BEP supplements can also be delivered through existing maternal health programs, making them a practical solution to scale. Wang is also currently conducting further research in Ethiopia that examines the cost-effectiveness of different approaches to BEP supplementation.

Study details

Wang and his colleagues combined individual-level data from randomized controlled trials conducted in Nepal, The Gambia, Pakistan, and several other low- and middle-income settings. The team compared outcomes for pregnant individuals who received BEP supplements with those who did not.

Key findings include:

BEP supplements were associated with higher birth weights and a lower risk of babies being born with low birth weight or small for their gestational age.
The effects were particularly notable for babies small for their gestational age, a group with elevated risk of neonatal mortality.
Benefits appeared stronger among women who began supplementation earlier in pregnancy, particularly before 20 weeks.

Wang worked with a global network of researchers from institutions including Harvard T.H. Chan School of Public Health, the Food and Agriculture Organization of the United Nations, Aga Khan University and partners across Europe, South Asia, and Africa.

Photo by Nathana Rebouças on Unsplash

In This Story

Key Takeaways

• A George Mason–led global study finds that balanced energy and protein (BEP) supplements can improve birth outcomes, especially in regions where maternal nutrition is limited.

• The supplements are linked to higher birth weights and reduced risk of babies being born small or underweight, with the strongest benefits when started early in pregnancy.

• These supplements boost calorie and protein intake and can be delivered through existing maternal health programs, making them a scalable solution.

Topics

Prenatal Care

Global Health

Birth Outcomes

Maternal Child Health

Maternal Nutrition

GCH Research

public health research

CPH research