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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:

Payers constantly change the rules. Sift evens the playing field. Sift equips healthcare organizations to fully leverage their payments data to work smarter, protect their margins and accelerate cash.

Actionable Denials Intelligence, delivering a longitudinal view of clinical, coding, claims and remittance data. Sift establishes a data foundation that gives providers unprecedented access to their payments data and intelligence tools to better manage their denials, identify root causes and prevent future denials. 

  • Unified, normalized and organized claims and remittance data.
  • Delivering an accessible and complete picture of claim behavior, payer trends and the drivers of denials.
  • Curated, consultative analysis pinpointing where your team can take action to prevent denials and optimize workflows.

Denials Prioritization & Intelligent Automation to better manage touches and lower the cost of delivering each dollar of cash.

  • Sift’s machine learning optimizes workflows by prioritizing your team’s denial work efforts around ROI and by delivering Smart Claim Edits that improve first-pass yield. 
  • Active-Learning Claim Scrubber analyzes daily claims and remittances to curate high-impact claim edit recommendations.
  • Machine learning models that score denials at an atomic claim level, using over 500 attributes to determine each denial’s likelihood to overturn.
  • ROI-based denials worklists seamlessly integrate into your EMR, prioritizing high-recovery denials in staff workqueues.
  • Scoring that enhances existing automation capabilities, enabling the strategic automation of low-yield accounts while avoiding over-automating recoverable accounts.

Denials Prevention. By unifying clinical, coding and payments data, Sift's ML predicts denials before claims are created and provide recommendations for upstream interventions. 

Sift’s ML models predict the likelihood of denial and provide pointers for intervention and prioritized user analysis, working to optimize payment outcomes.

  • Machine learning models score encounters around their likelihood of being denied, proactively flagging encounters for intervention before claim submission.
  • Denial category prediction and root causes pointers enable routing to the appropriate mid-cycle workflow for mitigation.
  • Mid-Cycle Denials Intelligence that ties back-end billing, denial and overturn patterns to upstream workflow data inputs to deliver root cause analysis and prevention recommendations.

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:

Patients placed in the wrong bed status with improper documentation results in massive revenue loss and patient dissatisfaction.

Physicians can’t keep up with constantly changing criteria needed to admit patients to the hospital, and hospitals spend tons of money and resources fixing bed status issues retrospectively.

AdmissionCare provides the admitting physician with automated admission criteria - such as MCG - integrated directly into the EHR workflow to help document medical necessity that increases payer reimbursements and reduce denials.

How does it work?

  • Integrate into the clinician's EHR workflow
  • Determine the most appropriate bed status for each patient at admission
  • Synchronize payer criteria with the clinician's documentation
  • Collect revenue for the care provided, while avoiding costly denials
About EvidenceCare:

EvidenceCare is a unique type of clinical decision support system (CDSS) with its EHR-integrated and content-agnostic platform that empowers better care decisions by improving clinical workflows.

Founded in response to the professional experience of emergency physician Dr. Brian Fengler, the platform provides clinicians with evidence-based insights and measurable outcomes that improve hospital margins.

Based in Nashville, Tennessee, EvidenceCare is a 2x honoree of the INC 5000 list of fastest growing companies, a 2x Fierce Healthcare Best Product winner, and one of Modern Healthcare's Best Places to Work in Healthcare.

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 ML scores efficiently identify opportunities to prioritize staff touches on high-complexity accounts and leverage automation on low-complexity accounts, enabling providers to better facilitate AR management and accelerate cash.

Pediatric use cases:

None provided

Users:

VP of Revenue Cycle, Revenue Cycle Director, Denials Team, Revenue Cycle Teams

Description:

By integrating medical necessity documentation criteria into the admitting physician's workflow, hospitals spend less time and resources fixing denial issues and conducting peer reviews after hospital admission.

Pediatric use cases:

There are guidelines specific to pediatric conditions

Users:

ER physicians, admitting physicians, hospitalists, UR clinicians

EHR Integrations

Integrations:

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

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Allscripts, Cerner, CPSI, eClinicalWorks, Epic, Other

Hardware Compatibility:

Desktop, Other

Integrations:

Acute care EMR, ADT

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner, Meditech

Hardware Compatibility:

Desktop

Client Types

Awards

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Differentiators

Differentiators vs EHR Functionality:
  1. ML to predict propensity-to-overturn, enabling dynamic denial prioritization -- rather than rules-based systems (i.e. EMR offerings).
  2. ML to predict propensity-to-deny, enabling denial prevention before claims are created. 
  3. Rev/Track Insights Reports with curated intelligence and action items.
  4. Unified and accessible data foundation, including:
  • Matched claims and remittance data
  • Unified and normalized payments data
  • Payments data matched to corresponding CDI and coding data.
Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

EHR Integrated on the front end of the clinician workflow

Differentiators vs Competitors:

EHR Integrated on the front end of the clinician workflow

Keywords

Images

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Sift Healthcare Fully Leveraging Payments Data To Prevent Denials.png

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AdmissionCare 2.0 Hero Screenshot (800px).png

Videos

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Downloads

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Sift Denials Solutions.pdf
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AdmissionCare Case Study with BSMH.pdf

Alternatives

Company Details

Founded in 2017

Founded in 2014

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