Closing the gap: managing high blood pressure after an ER visit

Closing the gap: managing high blood pressure after an ER visit

Leaving the emergency room with dangerously high blood pressure can feel overwhelming. For many patients, the support ends the moment they walk out the door. A new pilot program at the University of Alabama at Birmingham (UAB) is changing that by helping patients take charge of their health from home.

High blood pressure, or hypertension, happens when blood flows through your arteries with too much force, putting stress on your heart and blood vessels. Without timely care, patients discharged from the hospital with high blood pressure can face serious health risks, including strokes or repeated hospital visits.

World Hypertension Day, observed on May 17, highlighted the need for better blood pressure management worldwide. That urgency is at the heart of the “Post-Emergency Department Telehealth Follow-Up Program”, led by Lama Ghazi, M.D., Ph.D., assistant professor of epidemiology at UAB. The project offers personalized, tech-enabled support to help patients safely recover and stay out of the hospital.

Who Is participating?

The study successfully enrolled 40 adults aged 30–75 discharged from UAB’s emergency department (ED) with very high blood pressure (systolic readings of 160 mm Hg or higher). All participants live within 30 miles of the hospital, speak English or Spanish, and use a home blood-pressure monitor, with support available from caregivers as needed.

What does the program involve?

Participants receive home blood-pressure monitors along with comprehensive training. Nurses teach participants and caregivers how to measure and record their blood pressure accurately. 

Xie headshot

Lama Ghazi, M.D., Ph.D.

Assistant Professor, University of Alabama at Birmingham

Learn more about Ghazi.

Did You Know?

Hypertension, or high blood pressure, significantly increases the risk of heart disease and stroke. Regular monitoring can help control it.

Source: American Diabetes Association

Each week, participants connect virtually with a nurse-pharmacist team through phone or video calls. During these telehealth sessions, the team reviews blood-pressure readings, adjusts medications according to set guidelines, and addresses participants’ health questions.

Automated text reminders twice a week prompt participants to take their blood pressure and submit readings via text or phone calls. Pharmacists also help participants address medication-related challenges, such as affordability, by connecting them to discount programs and local healthcare services.

Early signs of progress

While full evaluation is ongoing, early trends from the pilot phase suggest the program is having a positive impact.

Blood Pressure Improvement (90-day follow-up):

  • Participants experienced an average systolic drop of 16 points (from 162 to 146 mm Hg).
  • Diastolic readings fell by an average of 9 points (from 94 to 85 mm Hg).

Reduced Return Visits:

  • Participants had 22% fewer ED visits within 30 days compared to similar patients who received standard care.

Strong Participation:

  • Nearly all scheduled telehealth check-ins were completed, with 95% of visits attended.

Positive Experience:

  • Most participants shared high levels of satisfaction with the support they received.
  • Many found the reminder texts easy to use and helpful in staying on track.

These preliminary results will help inform the next phase of the program, which continues to assess longer-term outcomes.

Recognizing the importance of digital literacy, the program introduced a 15-minute “tech check” call at the beginning to boost early engagement. Additionally, new Spanish-language tech guides introduced in March 2025 expanded access and helped ensure more participants could comfortably utilize and understand the materials.

What’s next?

The team will complete 180-day blood-pressure and quality-of-life assessments by mid-June 2025. A cost-effectiveness analysis is scheduled to begin in July, and expansion into two UAB community clinics is planned for late 2025. These next steps aim to evaluate long-term impacts on health outcomes and overall cost efficiency.

By combining user-friendly home monitoring, consistent virtual check-ins, and accessible medication support, Ghazi’s pilot demonstrates a practical approach to managing high blood pressure, potentially preventing severe health complications such as stroke.

Learn more about Ghazi’s Forge AHEAD pilot project.

Key Terms to Know

  • Hypertension: Persistently high blood pressure.

  • Telehealth: Remote healthcare provided through phone or video calls.

  • Systolic and Diastolic: Systolic (top number) measures pressure when your heart beats; diastolic (bottom number) measures pressure between beats.

 

Smarter follow-up and safer care: how AI could support men with diabetes

Smarter follow-up and safer care: how AI could support men with diabetes

June is Men’s Health Month, an opportunity to focus on health challenges that often go unnoticed, especially among men living with chronic conditions like diabetes. At the University of Alabama at Birmingham (UAB), Forge AHEAD investigator Seung-Yup Lee, Ph.D., is leading a pilot study that combines artificial intelligence with clinical data to prevent medication mix-ups and help patients get the follow-up they need.

Why men with diabetes need a smarter safety net

Men are more likely to delay routine visits and less likely to follow up after hospital care. both of which can lead to missed medications, dangerous side effects and avoidable complications. For those living with diabetes, these risks are even higher. Managing medications correctly is critical to controlling blood sugar, avoiding hospital readmissions and staying healthy.

But for busy clinics, it’s not always clear who needs the most help. That’s where Lee’s project steps in.

Using AI to spot who needs help first

Lee’s team is developing an AI-powered risk score to help doctors and pharmacists spot patients who are most likely to have medication problems. The system analyzes a wide range of health data, including medical records, prescription refill patterns, and social factors like insurance status or housing instability, to assign a “reconciliation risk score” to each patient with diabetes.

Xie headshot

Seung-Yup Lee, Ph.D.

Assistant Professor, University of Alabama at Birmingham

Learn more about Lee.

Did You Know?

Men are more likely than women to skip routine checkups, and more likely to face serious medication-related problems as a result.

Source: Healthline

The goal? Use this score to flag high-risk patients so care teams can follow up directly, either by phone or in person, to double-check medications, fix errors and offer support.

What the tool actually does, and how AI fits in

Artificial intelligence, or AI, refers to computer systems that are trained to notice patterns in large sets of information, kind of like how a person might learn from experience, but much faster. For example, just like a nurse might notice that certain symptoms usually come before a problem, AI can spot those same signs by studying thousands of patient records at once. In this project, AI is used to scan medical records, pharmacy data and provider notes to predict which patients might be most at risk for medication problems.

It’s important to know that AI doesn’t replace doctors, nurses or pharmacists. It doesn’t make decisions on its own or replace face-to-face care. Instead, it helps teams work smarter by pointing out which patients might need extra attention. That gives healthcare providers more time to focus on what people need most, support, questions answered and care that feels personal.

  1. Data-driven prediction: The model looks at over 5,000 patient records and uses natural-language processing (a type of AI that reads doctors’ notes) to detect warning signs.
  2. Real-time alerts: Risk scores are displayed inside a clinician dashboard so that care teams know who needs outreach before the next visit.
  3. Focused follow-up: Patients with high scores receive extra attention, including calls from pharmacists to reconcile prescriptions and catch any problems early.

Measuring what matters: fewer errors, better follow-up

The pilot study includes around 200 patients and is testing whether the tool helps reduce medication discrepancies within 30 days. It’s also tracking whether fewer patients return to the hospital with drug-related issues, and how satisfied doctors and nurses are with using the system.

This type of focused support may be especially helpful for men, who often manage more complicated medication routines and may delay reaching out for help when issues arise.

Key Terms to Know

  • Medication reconciliation: The process of double-checking all a patient’s medications to make sure they match what was prescribed.
  • Risk stratification: Grouping patients by risk level to focus care where it’s needed most.
  • Health-related social factors: Things like income, housing or transportation that can affect someone’s ability to stay healthy.

 

What is AI?

Artificial intelligence (AI) refers to computer systems that can learn from large sets of data and help identify patterns.

In health care, AI is used to support, not replace, human decision-making by helping teams spot risks earlier and prioritize follow-up care.

Source: National Institutes of Health

 

What’s next for the project

If successful, Lee’s team plans to expand the tool across partner sites in Alabama, Mississippi and Louisiana. They’re also exploring ways to pull in data from state prescription-monitoring systems and bring the program into more community health clinics, including those that serve men with limited access to care.

How this could help you or someone you know

This project reflects a growing effort to use data to guide follow-up care and reduce preventable health problems. For men with diabetes, it could mean fewer hospital visits, safer medication use and better outcomes over time.

Learn more about Lee’s Forge AHEAD pilot project.