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The healthcare industry must quickly transform to become data-driven.  This change will facilitate increased efficiency while decreasing medical errors and costs.  Although early on in the collection and analysis of electronic data, the industry is poised to outstrip all others in terms of velocity, volume, variety and complexity of data.  For example, advances in electronic medical records, imaging, and genetic analysis, have all helped to propel healthcare related data in the U.S. alone to over 150 exabytes – much of it being unstructured.

A central barrier to leveraging data in healthcare has been lack of ability to link data from different sources.  Even connecting information across electronic medical records has been notoriously difficult, let alone fully understanding the relationships between clinical data, consumer or behavioral data, and claims data.  This is particularly important as behavior and environment can have a bigger impact on life than clinic care.

To meet the Big Data needs, Tresata is using a three-pronged approach leveraging our deep domain knowledge, incredible technology leadership, and breakthrough data science.

Tresata’s software has already processed more than 1 trillion rows of data across 1 billion consumers, 100 million small businesses and 1 million corporations. We have successfully automated complex business processes (from entity resolution to risk analysis), introduced the revolutionary ‘segment of one’ customer analytics capability, and trained machines to understand patient behaviors.




“This is a critical time in healthcare where tools like HAPPi are desperately needed to address questions at the macro level around cost and quality while also bringing data and predictive analytics to the point of care to allow providers to rapidly improve individual care and patient outcomes”


Chief Analytics Officer, Top 5 Healthcare System


When Your Biggest Asset is Data

Tresata provides a unique population intelligence platform designed to advance the healthcare industry. Our software, called the Healthcare Analytics Platform for Population Intelligence (HAPPi) enables Health Providers and Payers to automate the delivery of intelligence across the entire analytics lifecycle – collect, curate, compute and convert – resulting in a Healthcare DATA ASSET.




Applying early successes at scale could reduce US healthcare costs by $300 billion to $450 billion. Key drivers of value include targeted disease prevention, data enabled adherence programs, coordinated care across providers, reduced readmission rates, provider performance transparency, and accelerating discovery in R&D.


Enriching Life

It does not take a ‘rocket scientist’ to figure out that without new approaches, scalable technology and advanced science, the Healthcare Industry is at the brink of a massive disruption. Evidence abounds, from the high cost of care, lagging health outcomes, and variability in outcomes based on geography and income. Indeed, medical errors are now one of the leading causes of preventable death in the U.S.

With Tresata HAPPi, the only advanced healthcare analytics engine that runs entirely in Hadoop, we have automated the process of creating Data Assets from our clients’ vast troves of existing and growing data across all patients, providers, payers, geographies, and markets. In fact, building Data Assets will become one of the most important and enduring competitive advantages in the Digital Age.

Tresata’s customers have leveraged their Data Assets to implement a new class of Patient Intelligence Management use cases, including:

  • Know Your Patient: link patient clinical, claims, and consumer data to uniquely identify individual patients with high levels of accuracy
  • Know Your Providers: identify unique providers within communities and individual health systems to better understand market pressures, physician workforce needs, and network leakage. This data can also be used to improve delivery of quality data across physician networks
  • Householding: link patients through their social network to better understand contextual factors that impact health outcomes with a focus on house holding. Understanding the social network can improve efficiency of care delivery (for example care management) and assist with understanding risks
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