How Deep Learning Can Solve Healthcare Data Silos

The big data boom has created immense opportunity across industries, leading organizations to invest heavily in data storage and infrastructure. This is particularly true in the healthcare industry, which generates nearly a third of the world’s data, with that number expected to continue to grow. That’s 6% faster than manufacturing, 10% faster than financial services and 11% faster than media & entertainment, according to RBC Capital. 

But, as we’ve come to learn, the more data volumes increase, the more likely it is that data is stored and used in silos, making it increasingly hard to access and share. As a result, nearly 80% of organizational data is dark and siloed. This means that most organizations are only taking advantage of a fraction of the valuable information they store and create every day that could be used to influence everything from research and product innovation to paths of care and patient outcomes.

With such a prevalent problem, why has it taken so long to solve it?

A Perfect Storm of Innovation 

There’s been significant excitement about the opportunities deep learning and artificial intelligence present. However, only recently have these technologies truly begun to reach their potential. Advancements in deep learning models combined with innovations in hardware are making it possible for healthcare organizations to better understand and leverage their data to make a positive impact in research and patient care.

At Vyasa, we’re advancing these capabilities through a novel approach for healthcare organizations to manage and analyze their data, all within a single platform. Here’s how:

• Overcoming Silos: A healthcare network can have dozens of data silos – from research departments and medical care to finance and legal teams. Our Layar data fabric unifies data sources across your environment, regardless of file type or storage location. Deep learning models built within Layar tag and catalog content unified in Layar, making it easy to search, explore and visualize. Users can combine data sources to create unique data fabrics, enabling a secure and flexible environment for specific projects and use cases.
• Document Insight Extraction: Some of a healthcare network’s most valuable information sits within complex documents such as EHRs, clinical trials, physician reports and other research. Vyasa’s Synapse and Axon applications deploy deep learning on top of content in the Layar data fabric to enable users to ask questions of their content in natural language. Results are displayed in highly visual smart spreadsheets and knowledge graphs, accelerating the discovery and extraction of critical insights. 
• Image Analysis: Analyzing medical images is critical to research and diagnoses. Rich in content, images hold valuable insight that is increasingly challenging to access due to a variety of formats, file sizes, annotations and more. Vyasa Retina improves the management and classification of medical images, making it easier for professionals to access and analyze images to influence paths of care.

By combining deep learning with a data fabric architecture, Vyasa is helping healthcare organizations overcome challenges associated with their data. As a result, professionals can improve query accuracy by 97% while reducing research times by as much as 90%. This means healthcare professionals can spend less time wrangling and sifting through data and more time on product innovation or patient care.

Accelerating Deployment & Enhanced Performance

We’re working closely with NVIDIA to enhance the deployment and use of Vyasa for healthcare organizations. Key to our collaboration is NVIDIA AI Enterprise, a software suite that streamlines the often significant complexities of integration with existing infrastructure and new applications that would usually take years to complete. These capabilities can be combined with products from Dell Technologies to increase capacity and provide a healthcare data fabric solution within familiar server environments.

Improving Healthcare Collaboration

Deloitte notes that healthcare IT system integration accounts for 70% of organizational synergies. By deploying a deep learning data fabric, healthcare organizations can reach these goals without a major overhaul of infrastructure, leading to happier IT teams, more productive healthcare professionals and ultimately a healthier population.

Join Vyasa at Dell Technologies booth #2000 at HIMSS 2022 to learn more about how we’re helping healthcare organizations overcome silos and improve data analytics.