Their focus is on making it easier for business users to benefit from predictive analytics. Ease of use and deployment at the front line of an organization – at the point of decision – is a central focus and Predixion positions itself between tools designed for data scientists and black box analytic applications for business users, aiming to deliver the best of both worlds.

Imagine a standard of care where before the patient leaves the hospital, the institution already knows not just the patient’s critical data, but has also taken actions in response to the data that further reduce the risk of readmission within the next thirty days. The potential impact goes beyond delivering a more advanced quality of care. For institutions facing the radical industry shift to patient-based outcome models, predictive analytics presents an opportunity to make significant strides to decrease patient re-admission rates — and gain a stronger foothold in meeting compliance mandates the industry faces as a result of the Affordable Care Act. 

It’s that time of year when technology vendors like to anticipate what the year ahead will bring. As a vendor in the predictive analytics space, we thought it would be more than appropriate for us to officially predict what we anticipate in 2015 for Predictive Analytics:

Tom Blomfield was named one of the Top 5 Entrepreneurs Under 30 in Europe; in addition to developing for the Ruby programming language and co-founding GoCardless, he recently wrote a column for TechCrunch about “x-as-a-service” startups. He notes that tech startups are taking advantage of “more specialized and niche services” to get themselves off the ground faster and easier than ever before; he then compares the trend to the brick-and-mortar world, where it is significantly harder to access outsourced services without size to back you up. Here is his take on these differences:

Yesterday it was announced that Dell acquired StatSoft, a 30+ year old business analytics software provider. Yes, you read that correctly. 30+ years old. That means that this innovative analytics company existed before the Internet, before mobile, before SaaS, before big data…

So, why would Dell acquire an old analytics company? It’s no secret that big data and advanced analytics is the hot market to be in right now. Clearly one motive for a hardware-laden company like Dell is to continue to buy recurring revenue streams and nice margins, both of which they get from StatSoft. However, there is more going on here just below the surface. StatSoft, though old and not entirely innovative, has what very few companies in the market today have: a predictive platform. And, software vendors with an actual platform for building and deploying predictive analytics are a rare breed indeed.

A couple of weeks ago I was honored to participate in the Accenture “Journey to Analytics ROI” panel in San Francisco. To say that I was enamored with the location, organization and quality of attendees is an understatement. You see we have been working with Accenture for much of the last 12 months and, most recently, in addition to inviting Predixion Software to be a global alliance partner, Accenture led our most recent round of funding as a company alongside GE. 

Check Out What’s New in Predixion Enterprise Insight™ 3.1

The 3.1 release furthers Predixion’s revolutionary technology – enabling non-technical users to take advantage of advanced predictive analytics or skilled business analysts and data scientists to expedite the creation, re-use, sharing and deployment of their predictive models and applications.

Predictive Analytics: Saving Lives

At present the healthcare system knows very little about us till we show up at the hospital or in a doctor’s office sick.  In order to become preventive, the healthcare system will have to begin tracking our vitals decades before it currently does and listening in ways it currently does not.

As I was getting ready to see my next patient, I began what has now become a familiar ritual for doctors and nurses everywhere, washing my hands, doing my part to not become a vector for disease. As I toweled off my chapped hands for the umpteenth time today, a thought occurred to me: how come we’re not better at preventing hospital acquired infections (HAIs) despite all this hand washing? Across the country doctors and nurses are scrubbing our hands until they are impossibly chapped, yet HAIs abound. We’re doing our part but not really making much of a dent. I wondered if there might be a way that our IT systems and the immense quantity of data we collect on each and every patient might lend a helping hand…

I find it hard to imagine that Accountable Care Organizations (ACO) are going to be as wildly successful as projected without an ability to actively use the data they are obligated to collect. The Centers for Medicare & Medicaid Services (CMS) require the average ACO to compile data on their patients and then use that same data to demonstrate that they’ve met the CMS requirements of data use, reporting and improving quality. If those requirements aren’t met… well let’s just say that ACO might not be around for much longer.