Artificial Intelligence to play a role in Preventive Healthcare

For patients of diabetes and heart disease, an important part of the treatment is staying healthy outside the hospital. And, not to return to the doctor’s clinic with further complications. Nonetheless, there involves probability factor to reach out to the most vulnerable patients at the time of need than clinical assessments.

Artificial intelligence displays the potential to play a role here. The role to help clinicians handle such problems. It does so by examining large datasets to spot patients that would benefit most from preventive measures.

Nonetheless, in order to leverage artificial intelligence, this requires healthcare organizations to employ their own data scientists. Alternately, healthcare organizations can settle for one-size fits all AI solutions that are not optimized for all patients.

New Analytics Solution suitable for Raw Patient Data

To address this, the startup ClosedLoop.ai is playing a role. It is helping healthcare organizations leverage the power of AI with flexible analytics solution. Employing this solution, it enables healthcare organizations quickly feed their data into machine learning models and obtain actionable results.

Importantly, the platform is being used to help determine the patients that have higher probability to miss appointments, benefit from routine check-ups, acquire infections like sepsis, and more.

Furthermore, the platform finds use for health insurers as well. Health insurance companies are using ClosedLoop for population-level predictions. Such predictions are around things such as patient readmissions and the start or progression of chronic diseases.

“ClosedLoop developed a healthcare data science platform to be suitable for any kind of data that organizations have, build models specific to patients and deploy the platform,” stated the CTO of ClosedLoop.

The platform developed by ClosedLoop is of immense value. It provides the ability to use somebody’s raw data in the way it is in their system and to convert it into a model that can be readily used.

Author: Rohit Bhisey

As Head of Marketing at TMR Research, Rohit brings to the table over a decade of experience in market research and Internet marketing. His dedication, perseverance, and passion for perfection have enabled him to achieve immense success in his field. Rohit is an expert at formulating new business plans and strategies to help boost web traffic. His interests lie in writing news articles on technology,healthcare and business.

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