A Smart Healthcare Framework: Opportunities for Integrating Emerging Technologies (5G, IoT, AI, and GIS)

Mullachery, Balakrishnan; Alismail, Sarah

doi:10.1007/978-3-031-18344-7_22

Cited by 7 publications

(2 citation statements)

References 34 publications

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“…These technologies will continue to utilize geospatial data to better understand population movements, environmental factors, and patterns of disease spread. This will enable health systems to respond to disease outbreaks more quickly and effectively, and enable more in-depth epidemiological research (Mullachery & Alismail, 2023). In addition, GeoAI will be key in better health planning.…”

Section: The Future Of Geoai In Healthcare Future Trendsmentioning

confidence: 99%

“…Adequate infrastructure and the use of sophisticated AI algorithms are required to cope with this data (Tagde et al, 2021). Furthermore, privacy and data security issues are crucial considerations in the use of personal health data and geospatial data (Mullachery & Alismail, 2023). The use of these data raises sensitive issues related to individual privacy, and it is important to ensure that these data are closely guarded to protect privacy while enabling the necessary GeoAI analysis.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Utilization of GeoAI Applications in the Health Sector: A Review

Amponsah,

Latue,

Rakuasa

2023

J. Health. Science. Med. Therapy.

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This research describes the use of GeoAI, a geospatial data-based artificial intelligence, to improve the understanding and management of health in a global context. GeoAI enables the integration of geographic data such as maps, satellite images, and environmental information with artificial intelligence technology to analyze disease spread, health risk factors, and health resource management more accurately. This research uses a descriptive qualitative approach. The type of research used is a literature study. The literature review database used is by searching on Google Scholar, Scopus, and Google Book. The results of this study show that the basic concept of GeoAI involves more accurate spatial analysis, disease spread monitoring, disease outbreak prediction, and more efficient health resource management. However, challenges such as access to adequate data, lack of understanding among health professionals, and data privacy and security issues need to be addressed for GeoAI to be effectively implemented. In conclusion, GeoAI has great potential in improving public health and addressing global health challenges, but requires careful steps in its implementation.

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Section: The Future Of Geoai In Healthcare Future Trendsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Utilization of GeoAI Applications in the Health Sector: A Review

Amponsah,

Latue,

Rakuasa

2023

J. Health. Science. Med. Therapy.

View full text Add to dashboard Cite

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An Overview of Advances in Geoinformatics Technologies: Facilities and Utilities Optimization and Management for Smart City Applications

Ujang,

Yadava

2024

Earth and Environmental Sciences Library

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Future Opportunities for Systematic AI Support in Healthcare

Bertl,

Piho,

Draheim

et al. 2024

Lecture Notes in Computer Science

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Artificial Intelligence (AI) holds transformative potential to revolutionize healthcare delivery and outcomes. However, the literature suggests that focusing solely on AI algorithms leads to low adoption rates. AI needs to be introduced systematically into healthcare. This paper builds on this approach and synthesizes existing literature and authors’ insights to critically examine the current landscape and future opportunities for systematic AI support in healthcare. The multifaceted applications of AI, ranging from disease prediction to personalized medicine, are explored with a focus on AI’s potential to optimize employee performance, alleviate healthcare staff burdens, and enhance patient care. However, challenges such as limited access to unbiased data sets, connectivity issues, and ethical concerns pose significant barriers to AI adoption in healthcare.

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A Smart Healthcare Framework: Opportunities for Integrating Emerging Technologies (5G, IoT, AI, and GIS)

Cited by 7 publications

References 34 publications

Utilization of GeoAI Applications in the Health Sector: A Review

Utilization of GeoAI Applications in the Health Sector: A Review

An Overview of Advances in Geoinformatics Technologies: Facilities and Utilities Optimization and Management for Smart City Applications

Future Opportunities for Systematic AI Support in Healthcare

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