Cognitive Impact

Relieving the Pressure: Taking on Pressure Injuries with the Cognitive Engine

Most people recall the tragic horse riding accident that paralyzed Superman actor Christopher Reeve. Even after his injury, he went on to bravely lead awareness of spinal injury and paralysis and act and direct for film and television. What many don’t recall is the Reeve died not from his spinal injuries, but from sepsis—a blood infection—caused by a pressure injury.
wheelchair-bound
In the past, pressure ulcers were often considered an unavoidable byproduct of clinical bed stays of all lengths, acute or extended. Some clinicians concluded that as long as the patients’ primary conditions improved, a pressure ulcer was a secondary concern.
We in healthcare know better now. Pressure injuries cause pain for everyone, in many ways. The patient suffers from extensive pain and discomfort that lasts and requires treatment long after discharge. Pressure ulcers can trigger more serious infections or sepsis, two serious and imminently avoidable negative outcomes. Medicare long ago stopped reimbursing for treatment of many type of pressure injuries deemed preventable with appropriate care.
Yet for such a common condition—2.5 million reported pressure injuries annually costing as much as $11.6 billion—we have historically still worked in the dark when it comes to prevention. Prevention studies have been limited in scope and remedy.
And pressure ulcers contribute to many negative outcomes we work hard to avoid:
  • 30-day readmissions
  • Extended length of stay in both acute and post-acute settings
  • Reduced patient, doctor, and nurse satisfaction
  • Mortality (60,000 deaths per year, a 2.8 times greater risk)1
  • Litigation (17,000 lawsuits per year: ARHQ 2014)
Strong evidence suggests that a huge number of pressure injuries go unreported—perhaps by 10 times or more. This data is consistent with observations and claims among Jvion clients as well.
Clearly, patient care without clear guidance on pressure injury risk, prevention, intervention, and treatment costs our patient communities and providers dearly. The Jvion Cognitive Machine, applying comprehensive intelligence to patient clinical and exogenous data, delivers remarkable results in reducing pressure ulcers and improving outcomes:
  • An average reduction of hospital acquired pressure injuries of 45 percent
  • Five times the precision and effectiveness impact when compared with performance of the Braden Scale, the current standard and underlying assessment tool in most EHRs
Such performance changes the game for reducing pressure injuries. It also highlights how the cognitive machine is becoming the critical artificial intelligence asset for healthcare, providing the core “brain” that can see all patient community clinical and demographic data, assess risk at every stage, and recommend the most successful and timely interventions.
As healthcare providers expand the vectors with the cognitive machine that determine risk and response for more and more conditions, they truly gain power to better treat entire patient populations. Consider the comprehensive knowledge, intelligence, and positive outcomes the cognitive machine enables across critical performance measures in healthcare (many of the same ones that overlap with pressure injuries):
Delivering the best, most effective, compassionate and reliable quality care for patient populations depends on much more than just one rigid model addressing a single or limited clinical issue or condition. Today’s reality demands the comprehensive visibility into all data about patient communities, with complete understanding of risk at every stage. It requires swift recommendations for effective treatment and intervention. The cognitive machine is not the future of healthcare—it’s the present.
1N.C.C. Karen Bauer, M. Kathryn Rock, M. F. F. R. R. F. Munier Nazzal, O. Jones and M. P. and Weikai Qu, "Pressure Ulcers in the United States’ Inpatient Population From 2008 to 2012: Results of a Retrospective Nationwide Study," Ostomy Wound Management, vol. 62, no. 11, p. 30–38, 2016.
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