Remote Patient Monitoring (RPM) uses tools and devices to check the health of pregnant women, like blood pressure, heart rate, weight, and the baby’s status, from home. This helps especially with high-risk pregnancies, such as those with conditions like gestational hypertension, preeclampsia, and postpartum hypertension.
For example, Lee Health in Florida created an RPM program for women with high blood pressure during and after pregnancy. They enrolled 765 women with different stages of hypertension. The program uses home monitoring devices and a team of nurses who know about pregnancy and birth. They offer support, help with medicine, and virtual visits after birth. One patient said the nurse check-ins made her feel safer and less stressed during a time when she had to rest in bed. Early results show the program helps reduce hospital visits by catching problems early.
Wearable devices are also used more often to watch vital signs all the time. Devices like Cardiex’s CONNEQT Pulse and Band can monitor heart and blood pressure data in real time and connect to cloud systems for healthcare providers. Caretaker Medical’s Vitalstream is a wireless monitor for the wrist approved by the FDA. It helps find problems like low or high blood pressure, bleeding, or infections after birth.
The Quantra System by HemoSonics helps quickly diagnose postpartum bleeding, which is a serious issue. Other tests, such as Global Access Diagnostics’ rapid UTI test, help treat infections sooner, especially in rural or underserved areas.
Mobile apps like Sanguina’s AnemoCheck Mobile check hemoglobin levels without blood draws, helping find anemia during and after pregnancy. Sibel Health’s ANNE® One system has wearable sensors connected to mobiles, letting healthcare workers continuously collect data at home or clinics.
Remote monitoring has many benefits for pregnant women. It improves satisfaction, lowers the number of clinic visits, and finds problems earlier, which cuts emergency hospital visits.
A study showed that Ochsner Health’s Connected Maternity Online Monitoring (Connected MOM) program helped reduce clinic visits by 43% and increased patient satisfaction. The program gives pregnant women tools to measure weight and blood pressure at home. It collects five times more health data than usual care, which helps doctors make better decisions.
Lee Health’s RPM program shared early positive results at a 2025 meeting for obstetricians. The program uses technology plus a team of different health professionals to better manage high blood pressure. The nursing care feels personal and helps reduce stress and isolation during pregnancy.
From January 2025, the Centers for Medicare & Medicaid Services (CMS) started the Transforming Maternal Health (TMaH) Model. It covers Medicaid and CHIP patients in 15 states. TMaH promotes using home monitoring and telehealth for conditions like gestational diabetes and hypertension. It also extends postpartum coverage to 12 months to lower health risks and improve long-term results.
Maternal health problems affect some groups more than others in the United States. African American/Black women, American Indians/Alaska Natives, Hispanic/Latina women, and some others face higher chances of serious pregnancy problems and deaths. Remote monitoring and telehealth programs help by making care easier to reach and tailoring support to specific groups.
Blue Cross and Blue Shield of Texas (BCBSTX) is one example. Their Special Beginnings program works with tech companies Delfina and InovCares to improve maternal health in Texas, especially in areas with high death rates. Texas data showed that nine out of ten maternal deaths could have been prevented.
Delfina uses an AI-driven pregnancy platform to create standard and custom care plans. InovCares serves women of color with telehealth care, from midwife help for low-risk pregnancies to specialists for high-risk ones. These programs spot risk factors like high blood pressure, obesity, and stress early, which leads to quicker care.
The program also supports community help, including funding doulas and health workers, and works with schools to train maternal health professionals. This mix of technology and people aims to reduce gaps in care and results.
A recent review looked at wearable devices used for continuous monitoring during pregnancy. These devices can gather information on the mother’s vital signs and baby’s health all the time.
But there are challenges. Pregnant women might not wear the devices as needed due to comfort or usability. Data from different devices might have accuracy issues because of technical or environmental reasons. Also, many systems do not fully secure the collected data, which raises privacy and legal concerns.
More research is needed to fix these issues. Studies with larger and more varied groups of patients can help improve device designs, raise data quality, and strengthen security. Healthcare providers should check these points carefully to keep patient trust and effective care.
Artificial intelligence (AI) is used more in obstetric remote monitoring. It helps process large amounts of data and makes clinical work easier. AI can study streams of patient data to find patterns and warnings quicker than usual methods.
For example, Delfina’s platform uses AI to watch patients’ health data and help create care plans. AI can alert care teams when signs change or problems appear. This leads to faster responses and fewer bad outcomes.
AI chatbots and virtual helpers give patients education, reminders, and support outside of office hours. This helps patients follow treatments and keep appointments.
AI also automates tasks like data entry, appointment setup, and follow-ups, so healthcare workers can spend more time with patients and less on paperwork.
Programs like MyLÚA Health use AI to monitor mental and social health in pregnant women. They combine AI with telehealth to give mental health checks, peer support, and resource help, reaching people who might not get services otherwise.
Data from remote monitoring devices are automatically sent to electronic health records (EHRs) for accurate and fast updating. This helps care teams work well together. Still, problems like too many alerts and data security remain. Careful system design and user training are needed.
Medical practices in the US have chances and duties when using remote monitoring for pregnant women. Leaders must check if the technology suits their patients. They need to consider if devices work well, fit with current IT systems, and follow the rules.
Programs with a clinical team focused on remote monitoring, like Lee Health’s RPM, often get better patient results because they offer personalized care and teaching. Training staff and patients on how to use devices and handle data is very important to keep good quality and follow rules.
Working with tech companies that provide AI tools can lower workload and improve early problem finding. But medical groups must also keep strong cybersecurity to protect sensitive health data sent and saved remotely.
Efforts to improve equitable care need good communication and support that fits different cultures, especially for Medicaid and CHIP patients in programs like CMS’s TMaH Model.
Remote monitoring technology in obstetrics is changing how care providers handle maternal health in the United States. It lowers the need for in-person visits, helps find pregnancy problems sooner, and improves how patients take part in their care. Programs like Lee Health’s RPM, Blue Cross and Blue Shield Texas’s Special Beginnings, and CMS’s Transforming Maternal Health model show how combining wearable devices, AI, telehealth, and nursing support can help.
There are still challenges such as user comfort, data safety, and fitting technology into existing healthcare systems. Ongoing studies and investments are working to fix these issues. Medical leaders who understand these changes and carefully use remote monitoring can help improve health for pregnant and new mothers while making clinical workflows smoother.
Technology is integrated into women’s health care through improved patient communication, physician education, and healthcare performance, enhancing care delivery and outcomes.
EHRs are digital databases storing patient information accessible online, allowing for improved data retrieval, care coordination, and patient safety in healthcare practices.
Mobile health applications cater specifically to women’s health needs, providing support on various topics like pregnancy, contraception, and wellness, thus improving patient engagement.
Remote monitoring allows expectant mothers to track health metrics like weight and blood pressure at home, improving care while reducing the need for in-person visits.
Telemedicine enables remote consultations, making expert care accessible to pregnant patients and reducing travel burdens associated with clinic visits.
Connected MOM is a remote monitoring platform that facilitates patient data collection during pregnancy, enhancing communication between patients and healthcare providers.
While EHRs enhance efficiency, they also bring issues like alert fatigue, inaccuracies in records, and potential HIPAA violations affecting patient privacy.
Some mobile health applications have shown to improve behaviors like breastfeeding rates and adherence to prenatal care recommendations through reminders and educational support.
Technologies like simulation and video capture enhance training for residents and students, aligning educational methods with the learning preferences of newer generations.
Robotic surgery, such as the da Vinci system, provides minimally invasive options for gynecologic procedures, leading to reduced recovery times and improved surgical outcomes.
Simbo is using AI agents to automate all phone related workflows. Connect now to know more.
Schedule AI Agents Demo Now© Since 2019, Simbo AI.
