Jvion has emerged as a disruptive and innovative leader
Atlanta, GA (PRWEB) September 05, 2014
While the debate around the usefulness of predictive analytics in healthcare rages on, Jvion has emerged as a disruptive and innovative leader. The firm, which creates clinical predictive algorithms, is delivering previously unattainable accuracy using a new approach that has been likened to Google in its flexibility and intelligence. According to a company spokesperson, Jvion has been working on their current generation of predictive technologies for the past six years and have attained results greater than three times the accuracy of commercially available and academically derived models.
Most recently, the company announced that it achieved close to 90% accuracy in predicting stage three and four pressure ulcers. These results, according to the firm, are realized through an approach that combines deep machine learning, advanced statistics, and clinical intelligence. The engine behind these predictions is supported by an approach “tailored to the needs of healthcare organizations that are already resource constrained” according to the company’s website.
As a follow up to an interview with the Healthcare Insider, Jvion’s CEO Shantanu Nigam outlined what it means to develop a predictive analytic solution for healthcare. He identified six key attributes for the successful adoption of a predictive solution within the industry:
- Accuracy: to be adopted, a predictive solution has to be accurate and that accuracy has to translate across all use cases regardless of the type of event or its prevalence. This not only helps improve the life of the patient, it enables more effective adoption and avoids the alarm fatigue that comes with analytic solutions
- Flexibility: with every patient that walks in the door, a healthcare organization is confronted with multiple diseases/conditions and challenges. To be effective, a predictive solution must address a broad spectrum of events and be nimble enough to quickly accommodate new illnesses and scenarios
- Scalability: whether an organization comprises one facility or hundreds, predictive solutions must be able to address the needs of the diverse healthcare community
- Affordability: the predictive outcomes should pay for themselves through reduced waste and improved patient health outcomes
- Practicality: most healthcare organizations do not have the resources or time to stand up a large enterprise data warehouse to enable big data driven predictions. Predictive solutions should be able to use the data that healthcare organizations already have on-hand to minimize demands on internal resources and accelerate the predictive outputs
To learn more about Jvion and their full suite of Big Data predictive analytic solutions for healthcare, please visit http://www.jvion.com.
Jvion is a healthcare technology company that develops software designed to predict and prevent patient-level disease and financial losses leading to increased waste. The company offers a suite of big-data enabled solutions that combine clinical intelligence with deep machine learning to help providers protect their revenues while improving patient health outcomes. Their objective is simple—stop the waste of resources and lives by predicting and stopping losses before they ever happen.