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

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Categories

Solutions

Description

Product Description:

TriageGO is a software tool that leverages machine learning to suggest an acuity-level at triage, based on the likelihood of various ED (emergency department) outcomes. The tool supports the nurse by providing an actionable data point and, combined with their own clinical judgement, enables the nurse to sort patients into the correct trajectories for care in the Emergency Department. TriageGO empowers the clinician to better-differentiate patients based on their clinical risk, and in doing so, has impactful operational benefits; decreasing time-to-provider, time-to-emergent care for high-risk patients, and time-to-discharge across the board. TriageGO is seamlessly embedded within the EHR (Epic & Cerner) so that it is not disruptive to the clinician's workflow.

About Beckman Coulter:

None provided

Product Description:

Patients placed in the wrong bed status with improper documentation results in massive revenue loss and patient dissatisfaction.

Physicians can’t keep up with constantly changing criteria needed to admit patients to the hospital, and hospitals spend tons of money and resources fixing bed status issues retrospectively.

AdmissionCare provides the admitting physician with automated admission criteria - such as MCG - integrated directly into the EHR workflow to help document medical necessity that increases payer reimbursements and reduce denials.

How does it work?

  • Integrate into the clinician's EHR workflow
  • Determine the most appropriate bed status for each patient at admission
  • Synchronize payer criteria with the clinician's documentation
  • Collect revenue for the care provided, while avoiding costly denials
About EvidenceCare:

EvidenceCare is a unique type of clinical decision support system (CDSS) with its EHR-integrated and content-agnostic platform that empowers better care decisions by improving clinical workflows.

Founded in response to the professional experience of emergency physician Dr. Brian Fengler, the platform provides clinicians with evidence-based insights and measurable outcomes that improve hospital margins.

Based in Nashville, Tennessee, EvidenceCare is a 2x honoree of the INC 5000 list of fastest growing companies, a 2x Fierce Healthcare Best Product winner, and one of Modern Healthcare's Best Places to Work in Healthcare.

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:

When a patient comes into an Emergency Department (ED), they are triaged into one of five acuity-levels; 1 being high-acuity, likely in need of intensive care or emergency intervention, 5 being low-acuity, not likely to need intensive care, emergency intervention, or hospitalization, and therefore likely to be discharged home. The current methodology of triage in most United States EDs is a manual desicion tree based on anticipated resource-utilization. However, using this system, the majority of patients are assigned to an acuity-level 3, with poor differentiation based on their actual clinical risk (as resource utilization is a poor proxy for clinical risk). This can make it very difficult for clinicians to properly identify which of these mid-acuity patients needs care most urgently, and often creates a clutter effect causing increased wait-times in the ED. 

When TriageGO is installed within the triage workflow in an ED, it helps the nurse to discern a patient's actual clinical risk, and prioritize them appropriately. When patients are sorted into the correct trajectories for care immediately upon being triaged, the clutter effect is reduced. EDs who use TriageGO observe decreased time-to-provider, time-to-ICU, time-to-OR, time-to-admission, and time-to-discharge. 

Pediatric use cases:

Pediatric application of TriageGO is the same, except the model is adjusted for pediatric clinical presentations. 

Users:

Emergency Nurses, Emergency Physicians, Emergency Dept Administrators

Description:

By integrating medical necessity documentation criteria into the admitting physician's workflow, hospitals spend less time and resources fixing denial issues and conducting peer reviews after hospital admission.

Pediatric use cases:

There are guidelines specific to pediatric conditions

Users:

ER physicians, admitting physicians, hospitalists, UR clinicians

EHR Integrations

Integrations:

Acute care EMR

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, ADT

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner, Meditech

Hardware Compatibility:

Desktop

Client Types

Awards

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Differentiators

Differentiators vs EHR Functionality:

TriageGO embodies the principles of Open Innovation fostered by EHRs like Epic & Cerner who support an app-market-style ecosystem. While some risk-predictive features exist within current EHRs, there is no comparable solution for risk-stratification at triage, trained on the data within that hospital's instance of the EHR. 

Differentiators vs Competitors:

There is one similar product on the market known as KATE from Mednition. This product still relies in the resource-based ESI methodology of triage. One hospital using KATE reported just 65% accuracy in triage asignment. In an evaluation done at Johns Hopkins, where TriageGO was invented, the tool demonstrated 78% sensitivity to identify patients who went on to need critical care, and a 120% improvement over ESI to identify those who went on to need an emergency procedure. It was also observed that using TriageGO, the rate of low-acuity patients who were ultimately hospitalized went from 6% to 3%. 

Differentiators vs EHR Functionality:

EHR Integrated on the front end of the clinician workflow

Differentiators vs Competitors:

EHR Integrated on the front end of the clinician workflow

Keywords

Images

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TriageGO Demo Screen.png

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AdmissionCare 2.0 Hero Screenshot (800px).png

Videos

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TriageGO_Animation v5.mp4

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Downloads

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Johns Hopkins White Paper.pdf
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AU Health AdmissionCare Case Study.pdf

Alternatives

Company Details

Founded in 2014

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