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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
Process Intelligence
Process Intelligence

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Cortex
Cortex

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Categories

Solutions

Description

Product Description:
  • Hospitals and health systems face staggering staff shortages across the revenue cycle, disrupting collections and ultimately their capacity to treat patients. There’s a clear imperative for revenue cycle leaders to do more with fewer people, but spotting workflow inefficiencies across a distributed workforce and IT landscape is an enormous challenge. Add to that a lack of in-house expertise to analyze and prioritize potential interventions, and leaders are tasked with the impossible.
  • Part of Janus Health’s Operational Intelligence suite, Process Intelligence uses our proprietary process mining tool, Observe, to measure the complexities of your workflows and then applies AI to that data, identifying and quantifying areas for improvement. Process Intelligence surfaces those insights in a user-friendly application, empowering revenue cycle leaders to confidently recognize, implement, and measure meaningful process changes.
About Janus Health:

Janus Health is fundamentally transforming the future of revenue cycle work with our groundbreaking end-to-end artificial intelligence platform. Our rich history in healthcare and technology allows us to instinctively understand what it is about revenue cycle management that creates significant challenges for healthcare organizations. We’ve developed Operational Intelligence and Intelligent Automation solutions to aid revenue cycle teams in optimizing their workflows, so they can do more with less and ultimately collect more cash.

Product Description:
In the complex environment of Case Management and Utilization Review, a people-driven process inherently leads to error and lost revenue. To optimize the process to capture appropriate revenue, prevent denials and reduce Length of stay requires people and their ability review a case consistently. The legacy tools accessible today create a process highly dependent on human capital. What humans can’t do, Artificial Intelligence can. XSOLIS uses Artificial Intelligence (AI) to predict appropriate patient status (observation vs. inpatient), build automated defense of patient status, and identify Length of Stay reduction opportunities. Our technology can now interpret a medical record more accurately and more often than a person in many cases, and technology becomes unparalleled when it isolates risk in the complexity of a hospital today so issues can be mitigated in real-time. To assess a case today – the appropriate patient status, denial risk, and when a patient is ready for discharge – involves highly complex processes with thousands of variables and decision trees that are reliant on a manual review process. The XSOLIS Cortex platform transforms the manual review process today and automatically interprets a patient’s medical record in real-time. It automatically suggests appropriate status, brings awareness to revenue sensitive cases, drives intervention to denial mitigation situations (in real-time where it’s most preventable), and identifies Length of Stay opportunities to ensure highly efficient operations. Over 150 hospitals are currently contracted with XSOLIS and have seen significant results in denial prevention, throughput, Length of Stay, appropriate status conversions, and more. Automation has significantly impacted their revenue capture and has also shifted high value resources toward higher value processes – the clinical, not the clerical.
About Xsolis:
XSOLIS is a healthcare technology firm focused on improving healthcare operations through cognitive computing in Case Management and Utilization Review. By aligning cognitive computing behind clinical expertise, we're creating a new framework for decision-making to prevent denials in real-time and drive automation in status determinations.

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:

Health system finance leaders use Process Intelligence to uncover meaningful insights like:

  • Where workflow inefficiency and variance is costing the most in lost time and productivity
  • Opportunities to improve cross-team handoffs and payer-specific workflows
  • What groups are working most effectively and how
  • The success and adoption of process improvements
Pediatric use cases:

None provided

Users:

VP of Revenue Cycle, Chief Revenue Cycle Officer

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

EHR Integrations

Integrations:

Acute care EMR

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

Epic

Hardware Compatibility:

Desktop

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Client Types

None provided

Differentiators

Differentiators vs EHR Functionality:

Process Intelligence captures actions taken both in and outside the EHR, providing a more complete picture of workflows across systems and teams.

Differentiators vs Competitors:

Traditionally health systems employed over-the-shoulder consultants for this workflow data. Process Intelligence is superior in a few ways:

  • It’s unobtrusive and unlikely to affect user behavior, leading to a more accurate representation of workflows and activities.
  • It’s deployable to all system-owned, Windows machines, regardless of work location.
  • It’s measuring today and for as long as it’s installed, allowing you to compare time periods and measure the effectiveness of interventions.
Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Keywords

Images

No images provided

No images provided

Videos

No videos provided

No videos provided

Downloads

No content provided

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Alternatives

Company Details

Founded in 2013

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