Sphere3® announces partnership with Stryker

Sphere3®, the industry leader in medical device alarm and alert analytics, has partnered with Stryker to provide a next generation bed-related compliance and safety alarm management tool.  Stryker’s new iBed Wireless system uses state-of-the-art sensory and communication technology to provide real-time smart bed data about patient position and bed configuration to enable determination of bed compliance with hospital safety standards and safety risk conditions.  The iBed Wireless system also produces and alarms wirelessly for notification of potential patient falls.  Additionally, data about siderail position, bed exit, brake, bed height, and more will be visually displayed and combined with other medical alarm and alert data to provide better insight into the patient's safety and other aspects of their stay.

“We are excited to partner with Stryker beds.  It's powerful for our clients as they build a non-filtered view of the patients stay through their movement, request patterns, and physiological alarms.  Stryker beds produce data and combined with our analytics tool it's amazing to see the picture of the patient stay.”  CEO, Kourtney Govro.

Falls and HIT Polic Committee Measure Concepts

Yes, the title gives it away this is a serious one. I read recently on a blog that the HIT Policy Committee is creating “measure concepts” that will be applied into meaningful use standards. At the very bottom – in fact the last one listed – is "Measures of fall events and screening". While we each are passionate about one item or another on that list, I believe there is some low hanging fruit that could easily be picked off and taken care of quickly AND provide the hospital with real “meaningful” savings.

The tricky thing about falls is that you are dealing with a patient. Patient’s actions, movements, attitudes, and even behaviors are a challenge to categorize into the neat and tidy little boxes that EMR vendors need to have strong governance in documentation standards. That’s a mouthful that says patients don’t follow the rules. The key is to look at the patterns of patient behaviors, staff behaviors, and other key dynamic factors then balance them with some static information. That is where you will find the answer to identifying Key Performance Indicators that link to predictive modeling for falls.

I know, I know you have never heard me use so many $20 words in one sentence. The answer is all ready there in the data. Think of it like seeing a Picasso – some people look at a Picasso and see random shapes, meaningless strange pictures and some people look at it and can interpret a story. I see the story in regards to the data surrounding falls. I had a great experience the other day with a hospital that “got it”. While I presented the data and our assumptions on the patient behaviors and indicators the staff filled in their specifics surrounding the staff’s behaviors. We see the same thing in the data – over and over again. We see the story.

This data should be in the Medical Record, it should be part of meaningful use standards, and it is part of the patient experience in the hospital. This is low hanging fruit – as my dad would say “easy pickins” – a real problem that is solvable.

I believe the key to reducing falls in a hospital lies in the ability to categorize, capture, and document the behaviors and actions. Believe me there are consistencies that we can currently identify. You just have to know where to look.