The labor required to collect, analyze and submit quality data is a significant challenge for hospitals.

The typical process for administering medications in a hospital provides great opportunity for missed handoffs and errors. On average 30 people touch a medication before it is administered. Imagine the complexity for a nurse who typically administers 10 medications per patient per day, or the safety risks for a transplant patient who might receive 36 medications in a single shift. As healthcare leaders, we must address the technology aspects of safety while promoting a culture of safety and addressing the process aspects of safe, high-quality care.

Hospitals can spend millions of dollars a year manually collecting quality data and then still be unable to use it to change the way they do things. Our tools really can help drive required behavioral change by not only making guidelines and policies accessible, but also providing transparent data and ongoing feedback to understand behaviors, obstacles and outcomes. This ultimately helps the clinician, because the right thing to do becomes the easiest thing to do.

What's important to note is that it is not enough just to get information into a clinical system. Healthcare organizations must be able to cost-effectively get data back out in a way that provides true insight into clinical quality -- and facilitates lasting practice change for process improvement.

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