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Telemonitoring System Oriented towards High-Risk Pregnant Women
Mirna Arlene Robles Cuevas1, Ismael López Martínez1, Eduardo López Domínguez2
1Laboratorio Nacional de Informática Avanzada, Veracruz 91100, Mexico.
Healthcare (Basel, Switzerland)
|December 23, 2022
Summary
This study developed a telemonitoring system for high-risk pregnancies, including those with hypertension or diabetes. The system enables remote monitoring and timely detection of risks, showing favorable user satisfaction.
Area of Science:
- Medical Informatics
- Digital Health
- Remote Patient Monitoring
Background:
- High-risk pregnancies pose significant dangers to maternal and infant health.
- Early detection and intervention are crucial for mitigating risks in pregnancy.
- Existing monitoring methods may not adequately address the complexities of high-risk pregnancies.
Purpose of the Study:
- To design, develop, and assess the usability of a telemonitoring system for high-risk pregnancies.
- To enable remote monitoring and timely risk detection for pregnant women with hypertension, diabetes, or other high-risk conditions.
- To evaluate user satisfaction among medical professionals and patients using the telemonitoring system.
Main Methods:
- Development of a telemonitoring system comprising two mobile web applications: one for medical professionals and one for patients.
- Patient application allows input of alarm symptoms, vital signs (hypertension), diabetes data, and clinical analyses.
- Usability assessment conducted via a laboratory study involving seven doctors and seven patients.
Main Results:
- The telemonitoring system facilitates remote monitoring and control of high-risk pregnancies.
- The system enables early detection of potential risk situations through patient-reported data.
- Usability assessment indicated a satisfactory and favorable opinion from both doctors and patients.
Conclusions:
- The developed telemonitoring system is a viable tool for managing high-risk pregnancies remotely.
- The system's design supports timely intervention by allowing healthcare providers to monitor patients effectively.
- Positive user feedback suggests the system has the potential to improve outcomes in high-risk pregnancy care.
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