Maternal Disparities regarding Physician Visitation Rates during Pregnancy
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Mentor Information
Irene Hurst
Description
Carepath is defined as personalized and comprehensive support for patients and their families for their healthcare needs. Its main goal is to optimize resource usage by integrating the different facets of healthcare to ensure the best care. Carepath can be applied to maternal health to reduce disparities. Maternal healthcare disparities exist for women in low socioeconomic conditions. There is a lack of healthcare equity and that is reflected in the amount of physician visitations during pregnancy. The low physician visitation rates may contribute to the higher mortality rates in poor and underserved communities. Even in countries where there is universal healthcare coverage, the highest rates of inadequate prenatal visitations were in areas in inner cities which are characterized by lower incomes than suburban areas. There are a variety of factors that contribute to lower physician visits in lower socioeconomic conditions. This includes lack of transportation to the clinic, physician neglect and burnout, lack of education or compliance by the patient, expensive healthcare costs, and lack of insurance coverage. Since maternal disparities are a multifaceted problem AI machine learning can provide women with personalized healthcare that considers their unique personal factors when deciding which plan of care best supports them and their unique situation. It can optimize available resources and increase physician visitation rates which could lead to decreased maternal mortality.
Maternal Disparities regarding Physician Visitation Rates during Pregnancy
Carepath is defined as personalized and comprehensive support for patients and their families for their healthcare needs. Its main goal is to optimize resource usage by integrating the different facets of healthcare to ensure the best care. Carepath can be applied to maternal health to reduce disparities. Maternal healthcare disparities exist for women in low socioeconomic conditions. There is a lack of healthcare equity and that is reflected in the amount of physician visitations during pregnancy. The low physician visitation rates may contribute to the higher mortality rates in poor and underserved communities. Even in countries where there is universal healthcare coverage, the highest rates of inadequate prenatal visitations were in areas in inner cities which are characterized by lower incomes than suburban areas. There are a variety of factors that contribute to lower physician visits in lower socioeconomic conditions. This includes lack of transportation to the clinic, physician neglect and burnout, lack of education or compliance by the patient, expensive healthcare costs, and lack of insurance coverage. Since maternal disparities are a multifaceted problem AI machine learning can provide women with personalized healthcare that considers their unique personal factors when deciding which plan of care best supports them and their unique situation. It can optimize available resources and increase physician visitation rates which could lead to decreased maternal mortality.
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Poster Presentation