Vit Tall Healthcare Analytics & Informatics is trying to make the world a safer place for medical patients - one hospital at a time.
Addressing Key Issues
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Healthcare Analytics
For years, Vit Tall Healthcare Analytics & Informatics has invested tremendous amounts of time and resources into understanding the art and science of analytics. Analytics is the discovery, interpretation, and communication of meaningful patterns in data; analytics also entails utilizing these patterns in data towards more effective decision-making. Healthcare Analytics is a branch of analysis that focuses on offering insights at both the macro and micro level with regards to the healthcare industry. Among other insights, the reliability, stability, and quality of the electric power supply for a hospital and the involved medical equipment is of paramount significance. After all, hospitals and healthcare facilities rely upon a reliable and stable electric supply to keep people alive. In a natural disaster or extreme weather event, such as the recent Hurrican Dorian, hospitals play an even more vital role. They must not only perform their day-to-day operations, but they also have first responder responsibilities on the front lines of a disaster. When widespread power outages strike throughout an electrical grid, hospitals should (in theory) be outage-proof. Yet, even when emergency power systems are employed, they are not always reliable. By way of example, many city hospitals had backup systems in place during Hurricane Sandy, but many of these systems failed. In addition, the backup generators at certain hospitals did not have enough fuel to last through the sustained outage, and other hospitals discovered that their battery backups had not been replaced in many years and were no longer working. Hurricane Sandy was a seminal event that illuminated the need to enhance the energy resiliency for hospitals and healthcare facilities. Hurricane Dorian was just a recent reminder, as exemplared by the case study of a power outage and shortage of fuel for the backup generators, that more progress can be made in the area of resiliency.
Healthcare Informatics
For years, Vit Tall Healthcare Analytics & Informatics has invested tremendous amounts of time and resources into understanding the art and science of informatics. Informatics is a branch of information engineering that involves the practice of information processing and the engineering of information systems. Health Informatics, according to the U.S. National Library of Medicine (NLM), is "the interdisciplinary study of the design, development, adoption and application of [Information Technology or] IT-based innovations in healthcare services delivery, management and planning;" clearly, IT-based innovations that enhance electric power supply resiliency (to mitigate against power outages) for healthcare services delivery (e.g. utilizing digital systems to access electronic patient medical records) can be construed to reside within this ecosystem.
Healthcare Analytics and Informatics
From a venn diagram perspective, Vit Tall Healthcare Analytics & Informatics operates at the intersection of Healthcare Analytics and Healthcare Informatics. Accordingly, a core competency of Vit Tall Healthcare Analytics & Informatics is that of harmonizing and optimizing information technology and information engineering for an optimal amalgam of analytics and informatics.
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Data Science and Numerical Methods for Healthcare
Software prioritization algorithms can support decision-making. In the realm of Data Science for healthcare, for the described involved numerical analysis for prioritization, a numerical method is a mathematical function designed to solve problems with the apropos programming language(s) for an optimal implementation (i.e. numerical algorithm). For years, Vit Tall Healthcare Analytics & Informatics has been pragmatically operationalizing numerical methods for peer-reviewed software algorithmic implementations.
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Better Decision Engineering for Healthcare
It is fairly universally accepted that, among other definitions, engineering is the application of scientific knowledge to invent, design, build, maintain, research, and improve structures, machines, devices, systems, materials, and processes. Decision Engineering, then, is often recast as to how decisions of a particular kind are made within organizations and how improvements come about; restated, it is the application of relevant knowledge to design, architect, engineer, maintain, and enhance systems for optimal decision-making. For years, Vit Tall Healthcare Analytics & Informatics has invested tremendous amounts of time and resources into understanding how better monitoring, better analytics, and better prioritization can help segue to better decision engineering for [data] evidence-based decision-making at the intersection of Healthcare Analytics and Healthcare Informatics, particularly as pertains to formulating a resiliency calculus for hospital and healthcare facility management.