Development of a Smart Mobile Data Module for Fetal Monitoring in E-Healthcare

l’Aulnoit, Agathe Houzé de; Boudet, Samuel; Génin, Michaël; Gautier, Pierre-François; Schiro, Jessica; L'aulnoit, D. Houze De; Beuscart, R.

doi:10.1007/s10916-018-0938-1

Cited by 27 publications

(21 citation statements)

References 19 publications

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“…While a widely validated remote fetal monitoring device does not currently exist, multiple devices are gaining traction and fetal monitoring may be able to be integrated into virtual clinics of the future. 23 …”

Section: Telehealth Monitoring Lessons Learned and Future Directionsmentioning

confidence: 99%

Primed for a pandemic: Implementation of telehealth outpatient monitoring for women with mild COVID-19

Krenitsky

Spiegelman

Sutton

et al. 2020

Seminars in Perinatology

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Close observation and rapid escalation of care is essential for obstetric patients with COVID-19. The pandemic forced widespread conversion of in-person to virtual care delivery and telehealth was primed to enable outpatient surveillance of infected patients. We describe the experience and lessons learned while designing and implementing a virtual telemonitoring COVID-19 clinic for obstetric patients. All patients with suspected for confirmed COVID-19 were referred and enrolled. Telehealth visits were conducted every 24 to 72 hours based on the severity of symptoms and care was escalated to in person when necessary. The outcome of the majority (96.1%) of telehealth visits was to continue outpatient management. With regard to escalation of care, 25 patients (26.6%) presented for in person evaluation and five patients (5.3%) required inpatient admission. A virtual telemonitoring clinic for obstetric patients with mild COVID-19 offers an effective surveillance strategy as it allows for close monitoring, direct connection to in person evaluation, minimization of patient and provider exposure, and scalability.

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Section: Telehealth Monitoring Lessons Learned and Future Directionsmentioning

confidence: 99%

Primed for a pandemic: Implementation of telehealth outpatient monitoring for women with mild COVID-19

Krenitsky

Spiegelman

Sutton

et al. 2020

Seminars in Perinatology

View full text Add to dashboard Cite

show abstract

“…Content may change prior to final publication. Referenced Papers [119], [120], [78], [121], [122], [95], [13], [111], [123], [80], [56], [11], [124] [89], [125], [126], [127], [128], [129], [31], [79], [76], [130], [131], [132], [133], [134], [20], [135], [18], [88], [106], [127], [136], [137], [41], [138], [139], [71] [10], [82], [130], [81], [140], [60], [141], [30], [142], [29], [129], [19], …”

Section: Application Context Of Schmentioning

confidence: 99%

Trends, Technologies, and Key Challenges in Smart and Connected Healthcare

et al. 2021

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Cardio Vascular Diseases (CVD) is the leading cause of death globally and is increasing at an alarming rate, according to the American Heart Association's Heart Attack and Stroke Statistics-2021. This increase has been further exacerbated because of the current coronavirus (COVID-19) pandemic, thereby increasing the pressure on existing healthcare resources. Smart and Connected Health (SCH) is a viable solution for the prevalent healthcare challenges. It can reshape the course of healthcare to be more strategic, preventive, and custom-designed, making it more effective with value-added services. This research endeavors to classify state-of-the-art SCH technologies via a thorough literature review and analysis to comprehensively define SCH features and identify the enabling technology-related challenges in SCH adoption. We also propose an architectural model that captures the technological aspect of the SCH solution, its environment, and its primary involved stakeholders. It serves as a reference model for SCH acceptance and implementation. We reflected the COVID-19 case study illustrating how some countries have tackled the pandemic differently in terms of leveraging the power of different SCH technologies, such as big data, cloud computing, Internet of Things, artificial intelligence, robotics, blockchain, and mobile applications. In combating the pandemic, SCH has been used efficiently at different stages such as disease diagnosis, virus detection, individual monitoring, tracking, controlling, and resource allocation. Furthermore, this review highlights the challenges to SCH acceptance, as well as the potential research directions for better patient-centric healthcare.

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“…Interoperable WS technology is useful in designing remote healthcare systems and applications in recent days. The orchestration of different communication and information technologies has led to the robust design of personal healthcare solutions (de l'Aulnoit et al 2018). From a handheld wristwatch to wearable bands, the healthcare devices are integrated into the interoperable technology to provide clinical assistance to the patient (Woo et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Situation-aware recommendation system for personalized healthcare applications

Saad

Fouad

Mohamed

2021

J Ambient Intell Human Comput

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Personalized healthcare applications are designed with the help of handheld devices for providing instantaneous monitoring and diagnosis. Modern healthcare applications are designed with recommendation systems for providing diagnosis assistance for the users. This article introduces a novel situation-aware recommendation system for improving the reliability of personal healthcare applications. This recommendation system relies on recurrent neural learning for identifying the situation based on different physiological vitals. The learning method identifies a similar cause from the previous history and augments a recommendation from the connected healthcare server. The process of the situation is understood for providing equal and instantaneous recommendations for the patients. In this learning, the situation's training and the previous cases of occurrence are performed concurrently for identifying matching instances, reducing the complexity. The proposed system's performance is verified using the metrics matching ratio, complexity, recommendation delay, and accuracy.

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Development of a Smart Mobile Data Module for Fetal Monitoring in E-Healthcare

Cited by 27 publications

References 19 publications

Primed for a pandemic: Implementation of telehealth outpatient monitoring for women with mild COVID-19

Primed for a pandemic: Implementation of telehealth outpatient monitoring for women with mild COVID-19

Trends, Technologies, and Key Challenges in Smart and Connected Healthcare

Situation-aware recommendation system for personalized healthcare applications

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