Using Data to Improve Patient Outcomes

Patient Data

We help organizations implement a unified data governance solution that helps them manage and govern their on-premises, multi-cloud, and SaaS data. The data governance solution will always include a data retention policy.

Can predictive analytics in healthcare change patient outcomes?

It’s no secret that technology is making its mark in the healthcare industry. From surgery rooms to at-home care, technology is being applied in ways that only push healthcare forward. Within the past year, companies such as Google and Microsoft have begun stepping into the healthcare field. And it doesn’t stop there, hospitals such as Johns Hopkins have also joined the movement. But why now?

At Kopius we’ve seen first-hand what technology can bring to the table for a patient’s care. Whether it’s pain management through Virtual Reality, training for medical professionals, or quicker EMR workflows, technology has solved many pain points for the healthcare industry and there are no signs of slowing down. Over the years, healthcare has shifted to a more predictive approach. With this perspective, doctors can focus on preventive measures with a goal of fewer hospital trips and better long-term care for the patient. This new approach has only been made possible by the large amount of data available at our fingertips and the birth of predictive analytics.

Let’s talk about predictive analytics in healthcare.

Predictive analytics in healthcare uses data to help predicate outcomes. Whether it’s for healthcare or environmental purposes there is one common goal: to prevent negative outcomes. This approach is extremely powerful, but there is an existing technology that can take it further, Artificial Intelligence. By merging the two we can truly harness the power of data to improve people’s health.

Today, artificial intelligence is being used to help doctors diagnose patients. Drawing from a patient’s family history or medical images, AI can be applied in different scenarios. For example, an artificial intelligence diagnostic device is helping doctor’s diagnosis patients with a specific eye disease. Just by uploading a high-resolution picture, this device can take the image and interpret results on its own. While artificial intelligence can assist with individual patients, the biggest advantage is its ability to operate with machine learning in which it can analyze a large amount of data, learn, and adapt. It can take data from thousands of patients, analyze their medical history, and make predictions on a much larger scale.

The integration of artificial intelligence and predictive analytics is transforming patient care on a small and large scale. It’s making value-based care attainable while keeping the patient at the heart of it all. At Kopius we understand the technology of Machine Learning and the potential it will bring to your organization. Whether you are involved in healthcare, retail, manufacturing, or more, Artificial Intelligence can be applied to many industries. The time for artificial intelligence is now, so what will you do with it? Contact us, and we’ll start you off with a demo to show how remarkable this technology can be!