This interview is part of our new AI in Healthcare series, where we interview the world's top thought leaders on the front lines of the intersections between AI and healthcare.
In this interview, we speak with Shantanu Nigam, CEO of Jvion, to understand how his company is using AI to transform healthcare, and what the future of the industry holds.
1. What's the story behind Jvion? Why and how did you begin?
SN: Close to a decade ago, we started with a mission – build a smart machine that can save lives. And every day we ask ourselves, “how can we use our machine to improve the health of individuals and the community?” For us, the value in what we do isn't tied to the sophistication of our tool; it is tied to the lives that we save and the health outcomes that we improve.
Jvion’s inception was driven by a passion to eliminate preventable harm for patients. A solution that precisely and comprehensively foresees risk and —most importantly — provides the best-recommended actions that will improve outcomes.
2. Please describe your use case and how Jvion uses artificial intelligence:
SN: Jvion helps healthcare systems prevent patient harm and associated costs by enabling clinical staff to focus attention, resources, and individualized interventions on patients whose outcomes can be improved. Unlike traditional AI and predictive analytics solutions powered by technologies like neural networks that merely identify high-risk patients and cause alarm fatigue, Jvion pinpoints the impactable patients who are on a risk trajectory that can be changed and provides the patient-specific recommendations that will drive to a better outcome.
The Jvion MachineTM is a combination of Eigen-based mathematics, dataset of more than 16 million patients, and software that can be quickly applied to any of 50 preventable harm vectors (such as sepsis, readmissions, falls, avoidable ER visits, and pressure injuries) without the need to create new models or to have perfect data. The combined capability of the machine delivers the prescriptive analytic capability that providers need to help reduce cognitive load; more effectively identify the clinical, socioeconomic, behavioral, and environmental factors driving patient risk; and enable the future orientation of the organization. As the leader in prescriptive analytics for preventable harm, Jvion has proven effective in clinical settings for nearly a decade, with hospitals reporting average reductions of 30% in preventable harm incidents and avoidable cost savings of $6.3 million a year.
3. Could you share a specific customer/user that benefits from what you offer? What has Jvion done for them?
“Over the last 18 months, we have seen a sustained 20 percent drop in readmission rates. This drop and the improvements in quality that we have realized are attributed to the implementation of Jvion’s Cognitive Machine and the commitment of our staff to continually improve the patient care experience.” – Paul Hiltz, Chief Executive Officer at Mercy Medical Center
Jvion has the largest share of the available healthcare AI market and the longest history of delivering validated ROI across provider settings. This includes:
- ~350-bed hospital that avoided 330 sepsis cases within the last two years
- A 900-bed hospital that avoided 13 falls within the first quarter of use
- 9000 covered employee population that avoided 377 ED visits
- ~400-bed hospital that avoided 231 pressure injuries within the last two years
Within the last six months alone, the Jvion Machine has:
- Impacted more than 330,000 patient lives
- Helped avoid more than 1400 events
- Resulted in more than $10,300,000 in costs avoided