During the coronavirus disease 2019 (COVID-19) pandemic, anxiety regarding hospitals resulted in patients risking their lives and not seeking emergency medical care when needed. Early into the pandemic, hospital emergency room utilization plummeted more than 40% in some hospitals, according to the Centers for Disease Control and Prevention. As COVID-19 outbreaks intensified in the Western regions of the country, emergency room census began to increase significantly in the middle of June. Local safety net health care resources were struggling with the increase in emergency room utilization and scrambled to increase patient care capacity, especially their emergency rooms and intensive care units. The data collected during this time is of great value. Unfortunately, it is often poorly reported, overlooked, and ignored when it should be used to make better decisions and allocations. During the pandemic, underserved populations were especially impacted, overwhelming safety net health organizations. The findings from a simple data analysis provide a template for resource acuity among communities and depict the importance of health equity.
The purpose of analyzing data is to transform it into useful knowledge. Descriptive analytics renders factual information about research and events that can be used to relate an organization's environment to its activities. However, descriptive analytics alone is not enough to gain understanding and possibly predict the future. Minding only the output of such an analysis can mislead the researcher and decisionmaker. Because many factors influence results, it is essential to advance the prediction of future challenges through statistical analytics and factual patterns that dictate the environment with scientifically tested models. The data patterns, types of analysis, and attributes the prediction will be based on are all important. Data influenced by unforeseen variables make for poor predictions, such as the evening capacity report data in this study.
Historically, architecture has been about the structure of the solution, focused on the components that make up a system and the connectors which enable their coordinated interaction. Given this solution focus, systems, enterprise, and software architecture evolved in different directions. During the past 15+ years, architectural theory and practice have been undergoing a gradual, but significant, shift in focus. Five trends which highlight this shift are: decision rationale, challenges vs. requirements, systems-of-systems, contextual analysis, and design cognition. Each of these trends facilitates a necessary shift from the architecture of the solution to the architecture of the problem. In addition to enabling a clearer link between the problem and solution, these trends also help to unify systems, enterprise, and software architecture by providing a common foundation for collaboration on complex problems.
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