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Integrating technologies to provide comprehensive remote fetal surveillance: A prospective pilot study
Omer Nir1,2, Gur Dvir1,2, Esther Galler1
1Department of Obstetrics and Gynecology, Sheba Medical Center, Ramat Gan, Israel.
Summary
Remote fetal well-being assessments are feasible and save time. This innovative approach to maternal and fetal care offers significant clinical and logistical benefits, enhancing patient satisfaction.
Area of Science:
- Obstetrics and Gynecology
- Telemedicine
- Maternal-Fetal Medicine
Background:
- Remote maternal-fetal care is expanding.
- Assessing fetal well-being remotely presents unique challenges.
- Existing telemedicine models primarily focus on maternal health.
Purpose of the Study:
- To evaluate the feasibility of incorporating remote fetal well-being assessments into maternal-fetal telemedicine care.
- To assess the efficacy of novel self-operated devices for remote fetal monitoring and amniotic fluid volume measurement.
- To compare the duration of telemedicine visits with traditional in-person visits and gauge patient satisfaction.
Main Methods:
- A prospective pilot study involving low-risk pregnant participants.
- Utilized self-operated fetal monitoring and ultrasound devices for remote assessment.
- Conducted modified biophysical profile (mBPP) assessments via telemedicine, measuring fetal heart rate and amniotic fluid volume.
- Collected data on visit duration and patient satisfaction.
Main Results:
- Nine out of ten (90%) participants successfully completed remote mBPP assessments.
- 100% of participants achieved satisfactory amniotic fluid volume measurements.
- Telemedicine encounters were significantly shorter (93.1 min) than in-person visits (247.2 min; P < 0.001).
- High patient satisfaction was reported.
Conclusions:
- Remote fetal well-being assessment is a feasible and time-saving addition to maternal-fetal telemedicine.
- This comprehensive remote assessment model offers significant clinical, socioeconomic, and logistical advantages.
- The study demonstrates the potential for advanced remote monitoring in obstetrics.

