Ai Based Healthcare Application for Urban Communities

This AI based healthcare application approaches to treating urban populations would then involve the urban models of healthcare delivery, recognizing health has been influenced more than ever by the factors of practice and treatment away from traditional medical interventions. Such models of care may include primary care, behavioral health, and social support services in order to assure comprehensive care about the whole aspect of human well-being-be it in the physical, mental, or emotional dimension. These are always developed with an aim at battling the urban health challenges, such as occurrence rates of chronic diseases and socioeconomic disparities through specially devised programs specific to the needs of the respective communities. A focus on patient-centric models ensures holistic care, through individual data, lifestyle, and environment. Application that pay attention to social determinants of health, such as housing and food security, thus reduce barriers to a state of optimal health. Behavioral health integration translates to early mental health intervention, better outcomes, and quality of life. Focusing on health equity and community involvement, this AI based urban healthcare application enhance active participation of patients through preventive, integrated care approaches. This application offer a promising framework to sustain equitable, holistic health care in expanding urban centers. This application introduces a medical assistant to clear the queries asked by the user.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-11
DOI
https://doi.org/10.5281/zenodo.14384216
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Ai Based Healthcare Application for Urban Communities

Zenodo (CERN European Organization for Nuclear Research)
Digital Mental Health Interventions
article

Ai Based Healthcare Application for Urban Communities

article en

Abstract

This AI based healthcare application approaches to treating urban populations would then involve the urban models of healthcare delivery, recognizing health has been influenced more than ever by the factors of practice and treatment away from traditional medical interventions. Such models of care may include primary care, behavioral health, and social support services in order to assure comprehensive care about the whole aspect of human well-being-be it in the physical, mental, or emotional dimension. These are always developed with an aim at battling the urban health challenges, such as occurrence rates of chronic diseases and socioeconomic disparities through specially devised programs specific to the needs of the respective communities. A focus on patient-centric models ensures holistic care, through individual data, lifestyle, and environment. Application that pay attention to social determinants of health, such as housing and food security, thus reduce barriers to a state of optimal health. Behavioral health integration translates to early mental health intervention, better outcomes, and quality of life. Focusing on health equity and community involvement, this AI based urban healthcare application enhance active participation of patients through preventive, integrated care approaches. This application offer a promising framework to sustain equitable, holistic health care in expanding urban centers. This application introduces a medical assistant to clear the queries asked by the user.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 48%
Digital Mental Health Interventions
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Ai Based Healthcare Application for Urban Communities · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS