At the heart of the veEDIS CareTRAKlogic engine are clinical algorithms that cumulatively take hundreds of documentation elements and combine them in statements that define a specific risk when met. More simply, veEDIS CareTRAKdoesn't just look at a blood pressure. It looks at the age, sex, past history, current complaint, lab results, physician and nursing documentation, home medications, allergies, current medication orders -- and then decides if a specific blood pressure merits an alert. Contrast this to the simple "1 dimensional" approach of the typical EMR which generates an alert any time a blood pressure is outside textbook normal. This "if X then Y" approach results in multiple false positive alerts. As a result, clinicians quickly learn to ignore the EMR's alerts altogether. Click here to see a short video demonstrating the 3 dimensional risk algorithms of veEDIS CareTRAK.
As a result of its sophisticated algorithms, veEDIS CareTRAKis able to look at a myriad of items before determining whether risk exists. Consider a blood pressure of 160/90. Is it normal? No. Question: Is it an alarming value? Answer: What's the context?
Now consider the question: "How long does it take to get from Miami to Orlando?" Most people would say about 3.5 hours -- until being told the context was "by bicycle." (Answer: about 21 hours!).
In a 70 year old male with chronic renal failure and acute congestive heart failure, a blood pressure of 160/90 is not worthy of any kind of alert. However, if the patient is a 24 year old female, 7 months pregnant, the exact same value absolutely warrants an alert. That is the contextual relevance of veEDIS CareTRAK.
While the examples above utilize blood pressure, the 3 dimnsional risk algorithms and contextual relevance apply to the hundreds of different documentation elements in veEDIS CareTRAK.
Click here for a demonstration of veEDIS CareTRAK's contextual relevance using an example of pneumonia.
In the acute care environment, a patient's condition can and often does change rapidly. A patient with acute congestive heart failure may be in extreme distress and at high risk. After 3 hours of therapy however, that patient may be dramatically improved --and no longer at acute risk. When alerts trigger but don't update or reverse themselves, they quickly become meaningless. This can actually have a detrimental effect on the quality of care rendered as it contributes to alert fatigue -- a common phenomenon in today's typical EMR. veEDIS CareTRAK alerts are reversible, and when clincially appropriate, turn themselves off, continuously mirroring the patient's condition.
veEDIS CareTRAKalgorithms are based on critically reviewed and carefully selected clinical literature derived from multiple journals. Papers are selected for inclusion based on their applicability to high risk cases, overall clinical significance, and adaptability to objective documentation. Each risk algorithm or Occcurrence represents an accurate and faithful translation of the objective data from the literature.