Effect of Edge Computing in Healthcare

Oforji; Jerome Chikwado

doi:10.56201/ijcsmt.vol.11.no6.2025.pg100.107

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Effect of Edge Computing in Healthcare

Oforji, Jerome Chikwado

Abstract

Edge computing, a distributed computing approach that brings processing power and data storage closer to the source of data generation, has the potential to significantly enhance the healthcare sector. By enabling faster data processing, reducing latency, and improving real- time decision-making, edge computing offers a range of benefits for healthcare applications. This work examines the transformative impact of edge computing on healthcare, focusing on its ability to optimize data analysis, improve privacy, and facilitate timely responses in critical situations. Through the use of edge devices, healthcare providers can monitor patients in real time via wearable technology, analyze medical data locally, and deliver immediate feedback to both patients and medical professionals. Additionally, by processing sensitive health information locally, rather than relying on centralized cloud servers, edge computing helps mitigate privacy concerns and delays in data transmission. Despite its advantages, challenges such as infrastructure requirements, scalability, and security issues must be addressed for its widespread adoption. This work also discusses emerging trends, including the integration of edge computing with artificial intelligence and the Internet of Medical Things (IoMT), further expanding its potential in personalized and secure healthcare delivery. Ultimately, edge computing promises to revolutionize healthcare systems by fostering more efficient, secure, and personalized care.

Keywords

Edge ComputingHealthcareReal-Time MonitoringData PrivacyInternet of

References

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Effect of Edge Computing in Healthcare

Abstract

Keywords

References

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