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

Solutions

Description

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.
Product Description:
Remind patients to pay, then collect payments via forms, 1:1 chat or the EHR using Instamed, Salucro, PayPal, or credit card.
About Luma Health:

Luma was founded on the idea that healthcare should work better for all patients. Instead of a disconnected experience, where patients are forced to be their own healthcare advocates and provider teams struggle to reach their patients, every point along the care journey should be simple, seamless, and effective. 

Luma’s Patient Success Platform™ empowers patients and providers to be successful by connecting and orchestrating all the steps in the patient journey, along with all the operational workflows and processes in the healthcare ecosystem.

Headquartered in San Francisco, Luma serves more than 650 health systems, integrated delivery networks, federally qualified health centers, specialty networks, and clinics across the United States, and today orchestrates the care journeys of more than 35 million patients.

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:

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

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

EHR Integrations

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

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, Patient portal, Pop health platform, Behavioral health, Access +/or revenue cycle, Other

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Meditech, Cerner, Allscripts, NextGen, athena, eClinicalWorks, Allscripts/Eclipsys, Other, Athenahealth

Hardware Compatibility:

Mobile / Tablet (web optimized), Desktop

Client Types

Differentiators

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

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

Luma's deep integration, breadth of market-leading platform solutions, and connection across a healthcare organization's tech stack makes next steps delivered to patients and staff more informed and actionable, differentiating our platform from patient engagement and experience vendors.

Luma customers report reducing phone calls and wait times by half, yet seeing record numbers of patients. Since 2020, HIPAA-compliant messaging between patients and providers on the Luma platform has increased by 50%. And most importantly, this increased ability to collaborate on next steps powers better clinical care. At FQHC Alexander Valley Healthcare, Luma reached 15% more Spanish-speaking patients and brought 38% more attributed patients in for care. Organizations using Luma report up to an 80% referral conversion rate, with patients receiving critical specialty care within days rather than weeks.

Keywords

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Company Details

Founded in 2017

Founded in 2015

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