Determine whether the evidence is consistent with technology use you see in your nursing practice. Identify potential barriers and costs associated with the use of specific technologies and how those technologies are applied within the context of this problem. Explain how care coordination and the utilization of community resources can be used to address the patient, family, or population problem.

 Assessing the Problem
Due Date
Assessing the Problem
You will determine how health care technology, coordination of care, and community resources can be applied to address the health problem you have defined.
It is an open secret that there are healthcare disparities for pregnant women from minority groups. The CDC (2019) reports that “Black, American Indian, and Alaska Native (AI/AN) women are two to three times more likely to die from pregnancy-related causes than white women – and this disparity increases with age.” The most shocking bit of the above statement is that a majority of these pregnancy-related deaths are said to be preventable. So, why are there no measures to help prevent these deaths? Why should women from select groups be subjected to conditions that continually give them lesser chances of survival? There is a need for society to look inward and find solutions to this issue. Condemning people to die because of their color or ethnic background is not only barbaric but also retrogressive. In this paper, a discussion of how technology, care coordination, and community resources can be leveraged to help address the problem at hand is provided.
Healthcare Technology
Designing a system that can monitor and expertly advise mothers on their pregnancies can help alleviate the afore-described problem. By using mobile phone apps or even the messaging functionality, it is believed that care can be improved for pregnant women from minority groups. Pregnant women can receive messages concerning prenatal care on their phones, be given advice or tips on matters such as immunization, nutrition, and breastfeeding. Through such, hospitals could reduce bias by ensuring that the messages are sent in bulk without any determinants or factors considered. According to Gonzalez (2018), the use of mobile health technology can help deal with barriers of healthcare, including lack of access to caregivers and inadequate communication between care providers and patients. Kruse et al. (2019) discovered that use of mHealth technology could help enhance maternal health. However, the disadvantages of mHealth technology lies in the barriers that could be a deterrence to its adoption. In their study, Kruse et al. (2019) identified the major barriers to the use of mHealth technology, and these include technology gap, poor infrastructure, and lack of equipment. Considering the population under study belong to the low-income class, the above barriers could present a major problem upon adoption of mHealth technology.
The other solution that could be used to help address the problem of health disparity facing pregnant women from minority groups is the use of artificial intelligence, and machine learning. According to Jean-Francois et al. (2021), by using machine learning, it is possible to design a system that predicts clinical outcomes of maternal health. By developing predictive algorithms that are backed by the power of machine learning, it could be possible to enhance maternal health of all pregnant women. The system can be accessed through an app on the mobile phone and by creating a personal profile, the app can offer tailored advice to mothers at all stages of their pregnancy. Since this str 

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