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

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HealthVision
HealthVision

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:

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:

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:

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:

None provided

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic

Hardware Compatibility:

None provided

Client Types

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:

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

Images

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TriageGO Demo Screen.png

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HealthVision, Intelligent Health Record.png

Videos

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TriageGO_Animation v5.mp4

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The Intelligent Health Record

Downloads

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Johns Hopkins White Paper.pdf
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HDAI, Greenwald RSI 3.0 - Anesthesiology Dec 2022

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