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Description
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Use cases
EHR integrations
Client types
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Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
Jvion
Jvion

0 review

eCART
eCART

0 review

Categories

Solutions

Description

Product Description:
Jvion helps healthcare systems and providers prevent harm and lower costs through its AI-enabled prescriptive analytics solution. An industry first, the Jvion Machine™ goes beyond simple predictive analytics and machine learning to identify patients on a trajectory to becoming high risk and for whom intervention will likely be successful. Jvion determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established patient-level intelligence to drive engagement across hospitals, populations, and patients.
About Jvion:
Preventable harm is preventable. 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 analytic solutions 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 Machine™ 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. 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.
Product Description:

Health systems use eCART to quickly and efficiently direct clinical resources toward their most critical patients and ensure timely and consistent care. Our sophisticated reporting and benchmarking further empower clinical leadership to understand and drive practice patterns. eCART draws upon readily available patient data from the EHR, rapidly quantifies disease severity, and predicts likelihood of critical illness onset, hours before it happens. Built upon more than a decade of ongoing scientific research, eCART was developed at the University of Chicago by Dr. Dana Edelson, MD, MS and Dr. Matthew Churpek, MD, PhD and is well chronicled in published literature. The analytic and workflow have been in use in clinical practice since 2016.

About AgileMD:

At AgileMD, we are building the most advanced real-time predictive analytics and clinical pathways platform for hospitals.

To date, AgileMD tools have been used on nearly 2.5 million patients by more than 80,000 providers in over 150 hospitals, including some of the nation's leading academic medical centers. AgileMD is backed by premier accelerators MATTER, YCombinator, and Rock Health, and our cutting-edge analytics are built on a decade of ongoing research at the University of Chicago. In 2021, AgileMD garnered nearly $3 million in combined federal research and development funding from the National Institutes of Health (NIH) and Health and Human Services (HHS) to further advance our platform.

Compatibility level

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Clients

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Use Cases

Description:
The Jvion Machine™ 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.
Pediatric use cases:

None provided

Users:
Nurses, Physicians, Case Managers, Care Coordinators, and other clinical resources responsible for preventing adverse events and improving clinical outcomes.
Description:

eCART anticipates all cause clinical deterioration in medical-surgical (ward) patients. The tool is used to prevent failure to rescue and improve timely ICU transfers.

Pediatric use cases:

We have a pediatric version of the eCART analytic (pCART) and would be happy to discuss a research partnership for this tool. 

Users:

Medical-surgical nurses and providers, rapid response teams

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

Acute care EMR

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner, Meditech

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized)

Client Types

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:
  • 10+ years of published academic literature on value over other early warning scores
  • Analytics derived and validated in robust patient datasets 
  • Built by clinicians for clinicians, with full cross-team workflow to ensure risk scores are understood and acted upon
Differentiators vs Competitors:
  • 8+ years in clinical use
  • High sensitiviy and specificity, meaning fewer false alarms and more efficient focus on the highest risk patients
  • Integrated workflow to ensure that risk scores are not ignored and action is taken
  • Robust reporting and benchmarking to drive quality improvement
  • Deep EHR-integration

Keywords

Images

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Videos

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Downloads

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Alternatives

Company Details

Founded in 2011

Founded in 2011

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