Data Discovery In Healthcare
A few days ago, QlikTech and Epic announced a technology partnership that will strengthen the integration between their software products as well as provide a forum for their joint customers to share best practices and innovative ways to use both technologies.
For a firm like Ranzal who is currently implementing several population health discovery applications, my first reaction was simply that this partnership made sense. Both companies are leaders in their respective domains and are very well-regarded. Beyond that, discovery technologies like Qlik, Tableau and Endeca are quickly establishing a foothold in the blossoming domain of healthcare analytics. Unlike traditional BI technologies, data discovery tools are meant to quickly mashup disparate datasources and allow users to ask in-the-moment, unanticipated questions. This alternative approach to analytics is allowing healthcare providers to build self-service discovery applications for broad audiences at speeds unimaginable in the world of the clinical data warehouse. Since almost all healthcare analytics applications rely on data from the EMR, this partnership seemed natural, if not overdue.
My second reaction was that there was something missing. In my experience, to get a holistic view of the health system, all of the relevant data must be tapped. Data discovery on structured data, while powerful, can only tell party of the story. With 60% of a health system's data is tied up in unstructured medical notes, reports and journals, Qlik is not fully equipped to allow healthcare practitioners to gain a 360 degree view of their health system.
Endeca shines when structured and unstructured data are both required to paint a complete picture. In healthcare, properly analyzing clinical data can mean drastically better outcomes at lower costs. Understanding the "why" behind the "what" means properly tapping the narratives in the medical notes and tools like Endeca are best suited to unlock value when unstructured is prominent.
QlikView is a powerful tool and one cannot question its ease of use and numerous discovery features. However, in industries rife with unstructured, products like Endeca that treat unstructured as a first class citizen (in the way it acquires, enriches, models, searches, and visualizes unstructured) are better suited to unlock the whole story.
So, I couldn't help but think that a strong partnership could also be made between other EMR vendors with Oracle Endeca. We spend a lot of time sizing up the relevant technologies in the data discovery space trying to understand differentiators. For the types of discovery we're seeing healthcare when unstructured is necessary to tell the whole story, our money remains on Endeca.