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Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
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Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
CKD Stage 3+
CKD Stage 3+

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Binary Fountain
Binary Fountain

0 review

Categories

Solutions

Description

Product Description:
Our advanced AI models are unrivaled in market performance for predicting the risk of kidney function decline. We deliver actionable clinical insights to the point of care.
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.

Product Description:
With the increasing trend of healthcare consumerism, creating a better patient experience has become imperative to a healthcare organization’s success. Our healthcare-specific platform and (NLP) technology, years of healthcare experience guiding clients to achieving results, and exclusive partnerships with industry-leaders Press Ganey and Yext help them get there. Binary Fountain provides a single view across managing the entire patient experience in a healthcare-focused platform. Leveraging patient feedback from online ratings and reviews and patient surveys, Binary Fountain helps healthcare organizations engage patients and improve operations with comprehensive patient analytics and the tools to drive change. Healthcare systems, hospitals and physician practices can increase patient acquisition and loyalty, impact revenue and create a better patient experience in an increasingly healthcare consumer-driven market. Our patient experience platform is used by over 4,000 healthcare facilities globally, including organizations as large as Providence Health & Services and as small as KURE Pain Management, providing them with the deep, timely insights and tools needed to engage patients, improve operations and impact revenue.
About Binary Fountain:

Binary Fountain is the leading provider of consumer feedback management solutions designed specifically for healthcare and multifamily residential in a single cloud-based platform. Its consumer experience platform is built on a proprietary Natural Language Processing (NLP) engine that mines consumer feedback from surveys, online ratings and review sites, social media, and other data sources to equip its customers with the actionable insights needed to improve customer satisfaction and loyalty, increase engagement and drive sustainable bottom-line results.


Leading organizations, large and small, rely on Binary Fountain to understand the consumer experience, drive comprehensive operational intelligence throughout the organization, and engage consumers with innovative transparency and reputation management solutions.

Compatibility level

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Clients

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

Use Cases

Description:

Chronic Kidney Disease (CKD)

Pediatric use cases:

None provided

Users:

Our advanced AI models are unrivaled in market performance for predicting the risk of kidney function decline. We deliver actionable clinical insights to the point of care.

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

EHR Integrations

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

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Client Types

Differentiators

Differentiators vs EHR Functionality:

Identify high risk members for specific end points 

Predictive algorithms focus resources on cohorts with highest probability of progression

We quantify urgency

Fingerprint undiagnosed and underdiagnosed members

Differentiators vs Competitors:

Deliver precise kidney care and monitor performance 

Specific Action Loops, such as:

Transition to optimal dialysis start

Prevent admission

Avoid dangerous costly transport

Stop CKD progression

Proactive Care Management

Deliver Self-Care Training

Prevent nutrition-related decline

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Keywords

Images

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Videos

1 of 1

Problems we solve.mp4

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Downloads

No content provided

Alternatives

Company Details

Founded in 2016

Founded in 2012

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