Big Data Experts Choose IRI Platform to Optimize Analytic Outcomes and Protect Patient IDs

PISCATAWAY, NJ, OCTOBER 25, 2018 — Scalable Health (scalablehealth.com), a division of Scalable Systems) focused on analytics and digitization for the Healthcare industry, has joined forces with IRI, The CoSort Company (iri.com) to use the IRI Voracity data management platform for improving time-to-insight and patient privacy. The companies will cooperate in consulting engagements and the development of fit-for-purpose healthcare applications that make use of big data and other repositories of clinical information on-premise or in the cloud.

The software and services alliance will combine Scalable’s proven expertise in provider, payer, and life sciences markets with Voracity’s proven data processing performance and a vast array of analytic and visualization options to accelerate diagnoses, increase margins, and foster innovations. Voracity will also allow Scalable and its customers to find, de-identify, and risk-score Protected Health Information (PHI) on their systems. These built-in technologies retain the research value of the data and comply with HIPAA Safe Harbour and Expert Determination Method rules.

“Healthcare data is becoming more complex, unstructured, and decentralized as it brings into its ambit a growing variety of entities and associated data,” explained Scalable CEO Sam Biswal. “This includes EMRs, hospital discharge records, clinical data, drug prescriptions, state monitoring programs, and NIH directives, plus wearable IoT and social media feeds.” To accelerate and improve the quality, reliability, and granularity of insights from this data, Scalable will integrate (or wrangle) it with the interchangeable CoSort or Hadoop engines in Voracity. “We will also use Voracity to classify, anonymize, and measure the likelihood that PHI can be re-identified,” Biswal added.

Voracity optimizes and combines the discovery, blending, and masking of huge amounts of disparate data. It can also generate statistical, summary, and predictive (trend) reports in 2D and graphical formats, feed BIRT and Splunk, or prepare display-ready subsets for R and other analytic tools. According to IRI SVP David Friedland, “This is why Dr. Barry Devlin — a data warehouse and data lake expert — just dubbed Voracity a Production Analytic Platform.” But what it means for Scalable and its clients is more significant. Specifically, “they can use the Eclipse job design and execution environment in Voracity to tap into new data pools and build solutions that can ultimately enhance health outcomes in fields like Precision Medicine, Personalized Care, Risk Stratification, Preventable Hospital Readmissions, Patient Engagement, and Population Health Management, to name a few,” Friedland observed.

About Scalable Systems / Health

Scalable Systems is a New Jersey-based Data, Analytics & Digital Transformation Company focused on holistic approaches and innovative solutions to data-driven challenges in vertical industries like healthcare. Scalable’s domain-specific experience and leading technology partners help clients rapidly and cost-effectively identify risks and opportunities, achieve operational excellence and gain a competitive edge. Scalable has additional offices in Europe and Asia and is a certified minority supplier.

About IRI, The CoSort Company

Founded in 1978, IRI is a US data management and protection ISV best known for the fast and affordable manipulation and masking of data in structured, semi-structured and unstructured sources. ETL architects, DBAs, CISOs and developers in every industry use IRI software in a wide range of big data, DW/BI, DevOps, database, and data security use cases and applications. IRI is headquartered in Melbourne, Florida and has development, resale, and support affiliates in more than 40 cities worldwide.

Press Contact
Amarnath Mishra (amarnath@scalable-systems.com)
Scalable Systems
+1-732-993-4320

Eric Leohner (ericl@iri.com)
IRI, The CoSort Company
321-777-8889, ext. 229

Scalable Health to Speed and Secure Biomedical Analytics with Voracity