A Mayo Clinic study demonstrates that at-home monitoring provides actionable data and reduces the travel burden for post-transplant patients.
RT’s Three Key Takeaways:
- Early Detection: Remote patient monitoring effectively identifies physiological changes and supports clinical decisions for lung transplant recipients during the first year after hospital discharge.
- Care Intervention: Nearly 25% of alerts generated by the monitoring system resulted in changes to patient care, including medication adjustments, diagnostic testing, and emergency evaluations.
- Patient Accessibility: The program allows recipients living far from transplant centers to receive specialized healthcare from home, reducing the need for frequent in-person follow-up when no abnormalities are detected.
Mayo Clinic researchers found that remote patient monitoring (RPM) is a feasible and effective way to detect early health changes and support care decisions for lung transplant recipients during their first year after discharge, according to a study published in the Journal of Heart and Lung Transplantation Open (JHLT Open).
Lung transplant recipients require intensive, ongoing monitoring after surgery to detect complications such as rejection or infection. Because many patients live far from specialized centers, frequent in-person follow-up can be challenging.
“Many of these patients live far from the transplant center, making frequent in-person follow-up challenging,” said Cassie Kennedy, MD, co-senior author and medical director of the lung transplant program at Mayo Clinic in Rochester, in a news release. “RPM allows us to stay closely connected to our patients — no matter where they live — after they return home and respond quickly when changes occur.”
Monitoring and Clinical Response
Throughout the 12-month study, researchers monitored 116 lung transplant recipients who lived a median distance of 234 miles from the clinic. Patients used a home device kit to track symptoms and physiological data, including lung function, vital signs, and weight. This information was transmitted directly to their electronic health record and care team.
The system generated nearly 470 alerts when abnormal values were detected. While most alerts were managed with continued monitoring, approximately one in four prompted changes in care. these interventions included earlier clinic visits, diagnostic testing, medication adjustments, and emergency evaluations.
“Just as important, when no abnormalities are detected, patients can be reassured and remain at home,” said Kennedy, in a news release.
Improving Patient Outcomes
Data from the study suggests that the system may help identify early signs of clinical deterioration. Nearly half of hospitalizations among patients with available monitoring data were preceded by an RPM alert within the prior week.
The program also demonstrated high levels of patient participation. Of the 116 patients enrolled, only 15 discontinued participation during the study period.
“This study shows that a multiparameter, at-home monitoring approach can be successfully implemented in a high-risk population and generate actionable data to support clinical care,” said Ali El Mokahal, MD, first author and pulmonary and critical care medicine fellow at Mayo Clinic, in a news release.
Researchers noted that as these models evolve, they have the potential to improve how specialized care is delivered.
“These findings provide important real-world evidence supporting the use of remote patient monitoring in lung transplant recipients,” said Kelly Pennington, MD, co-senior author and pulmonologist in the division of pulmonary and critical care medicine at Mayo Clinic, in a news release. “As these models evolve, they have the potential to transform how we deliver transplant care — expanding access, reducing burden and improving outcomes for patients.”
