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

Categories

Solutions

Description

Product Description:
Loyale Patient Financial Manager™(PFM) is an interoperable end-to-end patient financial engagement platform for enterprise applications. PFM delivers robust pre-procedure functionality and deep analytical capabilities throughout the patient revenue cycle. Loyale’s most complete and powerful solution.
About Loyale Healthcare:
Loyale Healthcare, launched in 2016, is the culmination of their experiences with consumers, patients and providers. Their suite of solutions powers more successful financial relationships between providers and their patients. The result? Patients pay more, pay sooner and have a better overall care experience.
Product Description:

For hospitals, it is 4x harder to collect from patients than insurance payers. Patients now make up to 30% of hospital revenue but are 4x harder to collect from than insurance payers1 due to complexity, regulation and patient means. 

Sift Healthcare provides advanced analytics and machine learning integrations to optimize patient payments. Sift combines patient payment expertise and AI-driven intelligence to equip providers with an integrated toolset to optimize patient financial engagement.

Patient collections should be a dialogue, not a solicitation. Sift integrates AI into your patient engagement platform to guide patient communications activities – maximizing collections while improving patient engagement.

  • Account Segmentation
  • Patient Contact Strategy
  • Payment Plan Provisioning
  • Improved collections, increased payment plan adoption, and reduced inbound/outbound calls

Propensity-to-pay for a person, not a number. Sift goes beyond credit scores, leveraging historical data to determine the best engagement approach for each patient.

  • Improved Patient Satisfaction
  • Pre-service patient financing and collection recommendations that help avoid surprises and set expectations
  • Lookalike predictive models, not credit scores and rule logic
  • Increased upfront collections with more empathy
About Sift Healthcare:
Sift Healthcare provides intelligent and accessible solutions for provider systems that need to extract meaning and value from their vast stores of payments data. Sift organizes and normalizes all of your payments data in one location, providing a holistic view of collections. Our denials and patient collection dashboards, payer scorecards, propensity to pay tools, market intelligence reports and enriched patient profiles enable revenue cycle teams to optimize workflows and accelerate cash flow.

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:

Improve:

  • Revenues
  • Patient Communications
  • Payments and Refunds
  • Patient Price Transparency
  • Enterprise Wide Business Intelligence
Pediatric use cases:

None provided

Users:

Patients, Providers, Administrators

Description:

Sift's intelligence tools and integrated ML recommendations around patient payments enable health systems to:

  • Pre-clear patients upfront.
  • Get more patients on payment plans, earlier.
  • Execute omnichannel contact across the entirety of the patient journey.
  • Help patients commit to meeting their financial obligations before service.
  • Utilize an integrated view of insurance-patient responsibility to optimize resolution and present patient responsibility, early and more accurately.
Pediatric use cases:

None provided

Users:

VP or Revenue Cycle, PFS executives, PFS team, SBO and CBO personnel, Patient Payment Collections Team

EHR Integrations

Integrations:

Acute care EMR, Ambulatory EMR, Access +/or revenue cycle

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Allscripts/Eclipsys, Azalea Health/Prognosis

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized)

Integrations:

Acute care EMR, Ambulatory EMR, Patient portal, Access +/or revenue cycle

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

Epic, Cerner, Meditech, Allscripts

Hardware Compatibility:

None provided

Client Types

None provided

Awards

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Differentiators

Differentiators vs EHR Functionality:

In the increasingly consumer-driven healthcare market, providers can learn a lot from successful retailers who recognize that customer relationships are their most valuable asset.

Healthcare providers write off billions of dollars a year in bad debt attributable to patient responsibility. The old systems they relied on to gather payment from insurance companies don’t work with patients.

With Loyale Patient Financial Manager™, patients get the transparency, payment options and support they need to feel in control. The same kind of control they expect in every other financial transaction.

Providers that use PFM™ to automate, optimize and personalize patient financial experiences join the ranks of leading companies in all sectors that earn the enthusiastic support of the people they serve.

They collect more, collect sooner (often upfront) and deliver comprehensive care experiences that promote better revenues, higher profitability and profound competitive advantages.

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:
  • Unified and normalized data sets that are accessible and provide a full view of patient payment behavior 
  • Dynamic machine learning based workflows, rather than rigid rules-based logic
  • Intelligence that enables the most effective use of EHR functionality 
Differentiators vs Competitors:

None provided

Keywords

Images

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Videos

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Downloads

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Alternatives

Company Details

Founded in 2016

Founded in 2017

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