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Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Awards
Differentiators
Health equity
Keywords
Media
Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Awards
Differentiators
Health equity
Keywords
Media
Company details
eCART
eCART
HealthVision
HealthVision

Categories

Solutions

Description

Product Description:
  • eCART is a research-based, AI-driven software as a medical device (SaMD) that utilizes a machine learning algorithm to continuously assess hospitalized patients’ risk of impending death or intensive care unit (ICU) transfer, assisting medical staff in swift and accurate recognition of patients requiring increased medical attention. 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.
  • eCART received FDA 510(k) clearance in 2024, with clinical performance data of nearly two million hospitalizations from 21 hospitals, including an unprecedented level of real-world prospective data, to ensure consistent accuracy across geography, age, race, and top medical conditions (e.g. sepsis, COPD, heart failure). 
  • Built upon more than a decade of ongoing scientific research, eCART was developed at UChicago Medicine 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 more than 4 million patient encounters by more than 135,000 clinical users in over 250 hospitals, including some of the nation's leading academic medical centers. AgileMD's eCART clinical deterioration prediction software is FDA cleared and the first AI-powered early warning device for ward patients to go through the FDA process with real-world prospective data. 

AgileMD is backed by premier start-up partners MATTER, YCombinator, and Rock Health, and our cutting-edge analytics are built on more than 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 U.S. Department of Health and Human Services (HHS), including the National Institutes of Health (NIH) and the Biomedical Advanced Research and Development Authority (BARDA).

Product Description:

HealthVision, the Intelligent Health Management System, is transforming care across health systems and value-based care organizations. HealthVision is made up of three key components:

*The Intelligent Health Record - what if you could see critical information from hundreds of EHR pages in a one-page patient chart and risk summary that serves the entire care team? HealthVision's Patient Spotlight is an easy to digest health profile and risk prediction tool. The Patient Spotlight helps clinicians make sense of the increasingly unwieldy and unmanageable health data in their EMRs in real-time.
*The Intelligent Workflow Solution - who among your patients will have an unplanned admission in the next 90 days? An ED visit in the next 30 days? The Intelligent Workflow Solution includes smart cohorts and rosters that align your scarce clinical, documentation, and administrative resources with the patients who will benefit the most. 

*The Intelligent Analytics Solution - how do your providers' mortality, hospitalizations, infection rates compare? Can your benchmarking system really match apples to apples? The Intelligent Analytics solution matches your population to others outside of your organization with the same baseline risk results. These precise comparisons are an important way to build trust and momentum among providers. 

About Health Data Analytics Institute:

HDAI is a high-growth, visionary company with innovative solutions that free up clinical time, enhance the provider experience, and support outcomes, efficiency, and economic improvement initiatives for health systems and value-based care organizations. 

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Use Cases

Description:

eCART anticipates all cause clinical deterioration in medical-surgical (ward) patients and is validated for sepsis, COPD, heart failure, and COVID-19. The EHR-embedded software device is used to prevent failure to rescue and improve timely ICU transfers using a highly-accurate risk score, an interpretable patient dashboard, and actionable clinical workflows.

Pediatric use cases:

pCART, the pediatric version of eCART, is available for research use and is used in clinical practice today. We would be happy to discuss a partnership.

Users:

Medical-surgical nurses and providers, rapid response & critical care teams

Description:

Continuity of care, care management, and care optimization; clinical operations, clinical performance, pre-visit and pre-surgery planning; post-acute network management; network, market, and financial performance and insights; population health management and value-based care; quality and safety: 

*Embedded EHR predictors enterprise-wide (ambulatory and inpatient settings) 

*Hundreds of predictive models built on HDAI’s baseline risks​ - delivery of baseline, encounter-based risks 

*Ambulatory clinical decision support​ - risk predictions for patients with consult visits to support decisions about the right clinical next step

*Discharge planning​ - evaluating discharge and next-site-of-care decisions, including SNF/HHA performance insights

*Post-discharge follow-up protocols​ - ensuring the highest-risk patients receive an appropriate share of support after discharge​

*Peri-operative adverse event risk management - focus visits around a patient’s areas of highest risk to enable optimization that improves expected surgical outcomes​

*Contracting and network design support​ - sophisticated network analytics to support decisions for provider performance, recruitment, and network optimization

*ACO patient targeting​ - smart cohorts focused on demonstrated areas of highest opportunity to enable high-ROI, precise interventions by care managers​

*Collaborate on diagnostic-grade models​ - partnership between data science teams to leverage new data sets to build diagnostic-grade models 

Pediatric use cases:

None provided

Users:

Clinicians, clinical care teams, and care managers; C-suite executives; Innovation and Quality leaders; Chief Medical Officers; Population Health leaders; Chief Nursing Officers; support/office staff 

EHR Integrations

Integrations:

Acute care EMR

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner

Hardware Compatibility:

Desktop

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic

Hardware Compatibility:

None provided

Client Types

Awards

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Differentiators

Differentiators vs EHR Functionality:
  • Continuously monitors EHR data in real time
  • Stratifies hospitalized patients by risk of impending all-cause clinical deterioration and sepsis
  • Notifies inpatient providers when patient may need additional assessment and management
  • Recommends clinical pathways with integrated order entry
Differentiators vs Competitors:
  • Authorized: FDA 510(k) cleared
  • Tested: Derived and validated in nearly 3 million patient encounters across 28 hospitals
  • Experienced: 8+ years in clinical use; 10+ years of published academic literature on value over other early warning scores
  • Accurate: High sensitiviy and specificity, meaning fewer false alarms and more efficient focus on the highest risk patients
  • Integrated: Embedded cross-team workflow ensures that risk scores are not ignored and action is taken
  • Benchmarked: Robust reporting, benchmarking, and implementation support drive quality improvement
Differentiators vs EHR Functionality:

HDAI uses GPT/LLM and AI predictive models to dynamically canvas the EHR to extract, synthesize, and risk prioritize the most relevant information. HealthVision™ allows clinicians to effectively focus on care planning instead of searching the EHR. 

The EHR has changed the way we practice medicine, burdening clinicians with mountains of data and forcing them to spend their precious time in front of computers instead of with their patients. When the healthcare industry first transitioned paper records to electronic, the intention was to have all patient data accessible in one place, alleviating the healthcare system of cumbersome physical storage spaces for medical records and administrative staff to manage it. ​

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However, the EHR has overburdened clinicians with documentation tasks that were once allocated to administrative professionals ​and has clinicians combing through an inordinate amount of disparate and disorganized data to find relevant patient information. 

Differentiators vs Competitors:

HealthVision is the first and only enterprise-wide, AI-powered intelligent health management system and is currently being used by Houston Methodist and other leading healthcare systems and ACOs. The platform has a broad range of capabilities which combined create a unique ability to address healthcare challenges across the care continuum (outpatient, inpatient, post-acute, etc.).

It simplifies information retrieval for clinicians, distilling hundreds of pages and notes for an individual patient in a typical electronic health record into an AI-synthesized one-page, individually configurable view that summarizes a patient’s medical history and granular risk profile. ​

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It allows a health system or risk bearing provider entity to identify and proactively manage patients at high risk of dozens of adverse events and excess utilization, including readmissions, extended length of stay and mortality. ​

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It enables sophisticated performance and network analysis. Using the nation’s largest longitudinal dataset (140 million patients, 0.5 trillion records), we have developed detailed performance profile on every physician and health care facility in the country.​

In addition to running Generative-AI and 100s of predictive models in real-time within the EHR environment, HealthVision is also designed to enable rapid deployment of local institutional models allowing agile and cost-effective real-time implementations of internally developed AI solutions.​

Health Equity

Keywords

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Digital Twinning

Videos

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HealthVision Patient Profile

Downloads

https://www.agilemd.com/updates/ecart-fda-clearance
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Greenwald 2023, RSI State validation

Alternatives

Company Details

Founded in 2011

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