Is your network ready for the future of healthcare IT?
Emerging technologies, such as Artificial Intelligence (AI), Machine Learning (ML) and Predictive Analytics are becoming essential tools in healthcare information technology. An increasing number of health systems, specialists, hospitals and even large practices use this automation to improve the speed and accuracy of diagnoses in order to achieve better patient outcomes.
However, the implementation of this modern technology requires a robust network with reliable and scalable bandwidth.
Let's see how these advances in technologies helped one family
who was seeking help for their young son...
Of course, the goal is to provide the best quality healthcare and the best possible outcomes. In the case of technology, this means leveraging AI, ML and predictive analytics to improve the speed and accuracy of diagnoses. However, with the exponential growth in data and innovation comes the exponential demand for a more reliable, scalable and secure network infrastructure. The transfer of big data, large image files and even healthcare data security depend on it. In effect, your team's performance relies on your network's optimal performance.
No matter what size your health system, Spectrum Enterprise equips you with the connectivity required to implement the latest technological advancements in healthcare. When it comes to saving lives and healing patients speed is mission critical.
You need a partner that empowers you to modernize your network in a cost effective way and improve the healthcare journey for both your patients and staff.
Sammy Perez had several spells of falling down on the playground. During a parent-teacher conference his teacher mentioned that he occasionally lost focus and appeared confused. The family's pediatrician suggested that they head to the hospital for some tests.
Using AI to automate the transfer of medical records - including relevant family history - to the hospital, gave the radiologist instant access to the data he needed to begin Sammy's evaluation.
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