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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
HCC Accuracy
HCC Accuracy

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Categories

Solutions

Description

Product Description:
EarlySign’s COVID Complications AlgoMarker Identifies individuals at increased risk for having COVID-19 complications. With the goal of prioritizing patients for COVID-19 testing and treatment, this new AlgoMarker aids in triaging patients by reducing chart review time to determine whether they are potentially at high risk for hospitalization, complications, and mortality.
About Medial EarlySign:
Medial EarlySign develops an AI algorithmic platform for the discovery of clinical insights that indicate the likelihood of disease from basic medical information, such as blood test results, and other EMR data. Called AlgoMarkers, its predictive engines are built in collaboration with healthcare organizations, through the combination of 10s of millions of patient years-worth of data, clinical rigor and some of the most brilliant algorithmic minds. The company develops clinical decision support and population health solutions that can assist in the early prediction of clinical outcomes related to cancers, metabolic, immune and infectious diseases. These tools are designed to place at the fingertips of healthcare organizations only those insights that could prove critical in disease management and prevention empowering them with proactive, predictive and personalized care management capabilities
Product Description:

PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.

About PulseData:

PulseData is advancing healthcare with data-driven actionable clinical insights giving payers, providers and other value-based care organizations the power to improve clinical and financial outcomes, close care gaps, and improve HEDIS and CAHPS scores. PulseData leverages large, diverse datasets and deep clinical expertise to effectively identify patients with chronic conditions. Using cutting-edge machine learning and AI models, PulseData enables early intervention, equipping healthcare teams with informed, data-driven insights precisely when they matter most – at the point of care.

PulseData’s thoughtful model development avoids machine learning biases, prioritizes model explainability and ensures optimal model performance. Our tailored collaborative approach with our valued clients creates meaningful, impactful, and relevant workflows. The resulting actionable insights can be viewed on our platform and seamlessly integrated into clinical workflows to enhance and support care management workflows.

At the nexus of technology and healthcare, PulseData empowers providers to make well-informed decisions, which improve patient outcomes, reduce costs, and improve program performance. Learn More at pulsedata.ai.

Compatibility level

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Clients

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Use Cases

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

Description:

Improve HCC Accuracy

Pediatric use cases:

None provided

Users:

PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, ERP system, Patient portal, Pop health platform, Home health, Behavioral health, Community based organizations, ADT, Access +/or revenue cycle, Credentialing, Website / public online sources, Other

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Other, Allscripts/Eclipsys, Athenahealth, Azalea Health/Prognosis, CPSI, Evident, Healthland, MEDHOST, MedWorx, QuadraMed, Self-developed, Would prefer not to disclose, Point Click Care

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized), Mobile / Tablet (native app), Other

Client Types

None provided

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.

Differentiators vs Competitors:

PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.

Keywords

Images

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Downloads

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Company Details

Founded in 2009

Founded in 2016

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