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Smart Maternal Care Companion
Subject area: Science,Engineering and Technology · Area of research: Maternal Healthcare Technology
Abstract
Smart Maternal Care Companion is a web-based healthcare support system designed to help pregnant women manage important pregnancy-related activities through a single, user-friendly platform. Pregnancy requires regular monitoring, proper nutrition, medication adherence, vaccination, medical appointments, and awareness of maternal health. Managing these activities manually or through multiple applications can be difficult and time-consuming. The proposed system provides a centralized platform for organizing pregnancy information and monitoring important healthcare activities. The system includes modules such as Pregnancy Tracker, Health Log, Medicine Reminder, Diet Planner, Vaccination Tracker, Doctor Appointment Management, and Emergency SOS. It also provides a framework for automatic health-data monitoring through supported wearable devices and health platforms. Health parameters such as heart rate, sleep, weight, blood pressure, and blood sugar can be stored and displayed when corresponding data sources are available. The system is developed using React.js for the frontend, Node.js and Express.js for backend services, and MongoDB for data storage. REST APIs are used for communication between the frontend and backend. The main objective of the system is to provide an accessible and organized digital platform that reduces manual healthcare management and brings essential pregnancy-related activities into one application. The proposed platform can be extended with AI-based personalized recommendations, multilingual support, mobile applications, advanced wearable integration, and real-time doctor consultation.
Keywords
Maternal Healthcare; pregnancy monitoring; mHealth; health monitoring; wearable devices; React.js; Node.js; MongoDB
References
[1] World Health Organization. WHO recommendations on maternal health. Geneva: World Health Organization; 2025.
[2] World Health Organization. WHO guideline: recommendations on digital interventions for health system strengthening. Geneva: World Health Organization; 2019.
[3] Frid G, Bogaert KC, Chen KT. Mobile health apps for pregnant women: systematic search, evaluation, and analysis of features. J Med Internet Res. 2021;23(10):e25667. https://doi.org/10.2196/25667
[4] Haddad SM, Souza RT, Cecatti JG. Mobile technology in health (mHealth) and antenatal care—searching for apps and available solutions: a systematic review. Int J Med Inform. 2019;127:1–8. https://doi.org/10.1016/j.ijmedinf.2019.04.008
[5] Nissen M, Huang SY, Jäger KM, Flaucher M, Titzmann A, Bleher H, et al. Smartphone pregnancy apps: systematic analysis of features, scientific guidance, commercialization, and user perception. BMC Pregnancy Childbirth. 2024;24. https://doi.org/10.1186/s12884-024-06959-1
[6] Ameyaw EK, Amoah PA, Ezezika O. Effectiveness of mHealth apps for maternal health care delivery: systematic review of systematic reviews. J Med Internet Res. 2024;26:e49510. https://doi.org/10.2196/49510
[7] Alim A, Imtiaz MH. Wearable sensors for the monitoring of maternal health—a systematic review. Sensors. 2023;23(5):2411. https://doi.org/10.3390/s23052411
[8] Mazaheri Habibi MR, Moghbeli F, Langarizadeh M, Fatemi Aghda SA. Mobile health apps for pregnant women usability and quality rating scales: a systematic review. BMC Pregnancy Childbirth. 2024;24. https://doi.org/10.1186/s12884-023-06206-z
[9] Chaves ASC, Silva JGM, de Jesus LMS, Spiri WC, Jensen R. Prenatal mobile applications reported in the scientific literature: a scoping review. Rev Esc Enferm USP. 2025;58:e20240236. https://doi.org/10.1590/1980-220X-REEUSP-2024-0236en
[10] World Health Organization. WHO recommendations on health promotion interventions for maternal and newborn health. Geneva: World Health Organization; 2015.
How to cite this paper
@article{1724712,
author = {Sure Mamatha, B. Mounika, D. Bhaskar, B. Ganesh},
title = {Smart Maternal Care Companion},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {5},
pages = {1134-1141},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1724712.pdf},
abstract = {Smart Maternal Care Companion is a web-based healthcare support system designed to help pregnant women manage important pregnancy-related activities through a single, user-friendly platform. Pregnancy requires regular monitoring, proper nutrition, medication adherence, vaccination, medical appointments, and awareness of maternal health. Managing these activities manually or through multiple applications can be difficult and time-consuming. The proposed system provides a centralized platform for organizing pregnancy information and monitoring important healthcare activities. The system includes modules such as Pregnancy Tracker, Health Log, Medicine Reminder, Diet Planner, Vaccination Tracker, Doctor Appointment Management, and Emergency SOS. It also provides a framework for automatic health-data monitoring through supported wearable devices and health platforms. Health parameters such as heart rate, sleep, weight, blood pressure, and blood sugar can be stored and displayed when corresponding data sources are available. The system is developed using React.js for the frontend, Node.js and Express.js for backend services, and MongoDB for data storage. REST APIs are used for communication between the frontend and backend. The main objective of the system is to provide an accessible and organized digital platform that reduces manual healthcare management and brings essential pregnancy-related activities into one application. The proposed platform can be extended with AI-based personalized recommendations, multilingual support, mobile applications, advanced wearable integration, and real-time doctor consultation.},
keywords = {Maternal Healthcare; pregnancy monitoring; mHealth; health monitoring; wearable devices; React.js; Node.js; MongoDB},
month = {November},
}