Getting ahead of sepsis harm – Cleveland Clinic’s and Jvion’s work on sepsis prevention featured by WSJ Pro Artificial Intelligence

I am excited to share that our collaboration with the Cleveland Clinic to predict and prevent sepsis was featured in the Wall Street Journal Pro Artificial Intelligence section in an article by John McCormick. Sepsis is one of most insidious causes of death today — a new analysis published in the Lancet found that sepsis accounts for one in five deaths globally — and the strides we have made towards predicting sepsis risk and recommending personalized treatments have come a long way towards saving lives.

As Dr. Chirag Choudhary, pulmonary specialist and Director of Critical Care at Cleveland Clinic, shared with the Wall Street Journal, the goal of Cleveland Clinic’s collaboration with Jvion is to get ahead of sepsis and identify people “before clinical determination happens.” With early diagnosis and intervention being the key driver of sepsis outcomes, having an artificial intelligence (AI) solution that identifies vulnerable patients sooner is a game-changer for preventing patient harm and saving lives. 

However, identifying patients on a sepsis risk trajectory is only half of the battle – identifying the right interventions for each unique patient is equally as important to changing the course of the illness. As Dr. Choudhary noted, “the Jvion system goes beyond predictions to make treatment recommendations.” Jvion recognizes how valuable clinicians’ time is — especially when it comes to sepsis — and has worked hard to provide them with data-driven, clinically-vetted and personalized intervention recommendations to protect patients and save care teams time.

How is that Jvion is able to bend the sepsis harm curve?  Here’s how our AI is different than traditional predictive analytics approaches and how we enable clinicians to get ahead of sepsis and improve care outcomes. Imagine sepsis — or any adverse patient event — as a planet. Picture an astronaut in a spaceship: our sepsis patient. In the traditional predictive analytics scenario, you see the spaceship just about to enter planet sepsis’s orbit — aka a high-risk patient. They are highly likely to land on planet sepsis and there may be little you can do to help them avoid it. Predictive analytics can identify these high-risk patients, and more often than not, these patients are already known to clinicians. Alerting clinicians about them only adds to alarm fatigue and provides little to no value in changing an outcome.

Jvion sees the spaceship miles outside of planet sepsis’s orbit. We see this ship on a trajectory toward planet sepsis. It could miss the planet, but if there is a great likelihood that it is on a collision course with the planet, we know it. A slight adjustment to the ship’s trajectory can indeed change the outcome — just a nudge a few degrees off the current course, and the ship will end up missing planet sepsis. This is how Jvion’s AI identifies modifiable patients – those, who with the right set of interventions, can avoid the deadly collision. They may not appear high risk but we know they are on a hidden trajectory toward harm. With Jvion, clinicians can see these hidden patients and enable care teams to change their outcome to help avoid a sepsis and other patient harmful events.

To see our AI in action, read the full article by John McCormick in Wall Street Journal Pro Artificial Intelligence — note that this article is behind a paywall. For a deeper dive on our work in preventing sepsis harm, access our case study with Southeast Health, where Jvion is enabling Southeast care teams to cut sepsis by over 25% every month.

For more resources on sepsis, you can also listen to our webinar with the Sepsis Alliance. In it, Michael H. Hooper, MD, Vice President Medical Affairs, Norfolk General Hospital, and Scott Stewart, Senior Process Improvement Engineer for Sentara Healthcare, share their experience with AI and sepsis care. The discussion includes a brief overview of AI and its definition, the potential benefits of and challenges with AI, critical workflow and implementation considerations, alongside a case study of the AI solution in place at Sentara Healthcare.

Last but not least, you can read about the state of sepsis with Dr. Karin Molander, Sepsis Alliance Chair-elect.

As always, the Jvion team is here to help answer your most pressing sepsis and patient harm prevention questions. Reach out to us by sending us your questions, or stop by on Twitter or LinkedIn.

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