Remote AI-Powered Monitoring Transforms High-Risk Pregnancy Care

The Challenge

High-risk pregnancies require continuous, often intensive monitoring to detect complications like preeclampsia, fetal growth restriction, or preterm labor. Traditionally, this level of surveillance has meant weeks or even months of hospitalization — an approach that disrupts patients’ lives, adds emotional and logistical stress, and places a significant burden on healthcare systems.

“So when a pregnant woman who’s supposed to be in the high-risk department for two months is at home instead… we are changing her life. She can continue working. She can continue her career. She can continue being with her children,” said Dr. Avi Tsur.

For many women, especially those balancing careers or caring for families, extended hospital stays can be isolating and unsustainable. Meanwhile, clinicians are challenged to deliver personalized care with limited resources and without the benefit of continuous, real-time data outside the clinical setting.

The need was clear: a new model of maternal care that could predict and prevent complications, while also freeing patients from hospital walls.

The Solution

To address the gaps in traditional maternal care, Sheba Medical Center developed a hybrid care model that brings hospital-grade monitoring into the patient’s home. Combining telemedicine, remote monitoring, and AI-driven diagnostics, the program empowers patients to stay at home while receiving real-time clinical oversight.

At the core of these innovative approaches is a suite of connected technologies:

• Nuvo’s INVU™: a wearable sensor that tracks maternal and fetal heart rates, as well as uterine activity, transmitting data to clinicians in real time.
• Pulsenmore: a portable ultrasound device guided via smartphone, enabling patients to conduct scans from home.
• Datos Health: a care coordination platform that supports continuous communication, symptom tracking, and automated alerts for care teams.

These technologies are integrated into Sheba Beyond, the hospital’s virtual care hub, and supported by predictive AI models developed and validated in collaboration with institutions like Stanford, Technion, and UCSF. The result is a fully connected, proactive system that enables early detection and targeted intervention, often before complications arise.

“Our partnership with Nuvo represents the future of pregnancy care. Integrating AI-powered solutions into routine prenatal monitoring not only enhances pregnancy outcomes but also demonstrates how technology can revolutionize healthcare worldwide,” said Prof. Eyal Zimlichman, Chief Transformation and Innovation Officer and Director of ARC at Sheba Medical Center.

This solution doesn’t just optimize clinical outcomes — it also transforms the care experience. Patients receive support from midwives and physicians remotely, maintaining autonomy and routine without compromising safety.

The Results

The model is already delivering meaningful results for patients, clinicians, and the healthcare system. 

For patients, the benefits are immediate:

• Instead of spending weeks in the hospital, women can stay at home with their families and maintain their routines.
• In a recent study, remote monitoring sessions using the INVU™ system had a 97.4% success rate, showing that patients can safely and reliably be monitored from home.
• The average time spent on remote check-ups was just 59 minutes, compared to 159 minutes for in-clinic visits—saving time, reducing stress, and improving quality of life.

Patients are also more engaged in their care:

• 92% of women using the system consistently recorded their health data, such as glucose levels, well above the typical rates for in-person care.
• Satisfaction with the program was high, with participants giving it an average rating of 6.6 out of 7.

For clinicians and health systems, the impact is just as clear:

• Fewer in-person visits allow care teams to focus on patients who truly need direct attention.
• The system helps detect serious conditions, like preeclampsia or preterm labor earlier, enabling faster treatment and better outcomes.
• Hospitals reduce overcrowding, cut costs, and extend care to more patients, including those in remote or underserved areas.

This is more than a new way to monitor high-risk pregnancies — it’s a smarter, safer, and more human-centered approach to maternal care.

What’s Next

The success of the model is paving the way for broader adoption, both within Sheba Medical Center and around the world.

Building on the outcomes of its remote maternal care program, Sheba is now:

• Scaling internationally: Following clinical validation with partners like Stanford, UCSF, and the Technion, Sheba aims to offer this model as a blueprint for health systems globally, particularly in underserved regions and maternal care deserts.
• Enhancing predictive analytics: With the support of its ARC Innovation arm, Sheba is building next-generation AI tools to analyze large-scale patient data and deliver earlier, more personalized interventions.