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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
ReferralPoint
ReferralPoint

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Categories

Solutions

Description

Product Description:
These automated processes, which are part of the R1 Patient Experience, deliver accurate and complete authorizations directly within order and scheduling workflows to reduce administrative tasks, lower operational cost, streamline appropriate payment, and enhance the patient experience. With R1 Financial Clearance clients are able to get to “Schedule Ready” faster with sixty-seven percent of authorizations cleared within minutes and ninety-seven percent within 3 business days.
About R1 RCM:
R1 RCM is a leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare providers. R1’s proven and scalable operating models seamlessly complement a healthcare organization’s infrastructure, quickly driving sustainable improvements to net patient revenue and cash flows while reducing operating costs and enhancing the patient experience. To learn more visit: r1rcm.com.  
Product Description:

Establish Networks
Our data ingestion platform can consume internal and external claims, quality data, and other relevant insights such as patient access or provider loyalty data that allow you to then rank specialists and facilities using a custom weighting method by service line. Our clients leverage this intelligence to build custom referral networks. Examples include a network for value-based care, an owned provider network, an affiliated network, or building networks for community-based resources.

Auto IdealMATCH
Leverage Network Intelligence data at the time of referral. Coordinators are prompted to select the most appropriate specialist for the patient based on insurance, quality outcomes, costs, location, and patient preferences. IdealMATCH is integrated into Epic so it doesn’t disrupt the existing workflow.

Auto Prior Authorizations & Scheduling
ReferralPoint is able to automate a large portion of the referral notification and prior authorization process then enables automated scheduling capabilities based on the workflow of the practice (by patient, by staff, in real-time).

Auto Closing the Loop
ReferralPoint supports closing the patient care loop between the primary care provider and specialist while tracking each step from referral order to a closed loop regardless of the referred-to providers EHR. Once a referral option is selected, ReferralPoint automates communication (SARA) with the patient to guide them along the journey then updates the status of each referral - including automated reminders, follow up, and even feedback surveys which can be used to update the scores of each provider. Because our solution is built on a data ingestion engine, we can close the referral loop a number of ways including engaging the patient, faxing the specialist, analyzing claims or receiving ADT feeds.

About ReferralPoint:

ReferralPoint is the leading expert in referral management solutions for health systems, medical groups, and payers looking to reduce leakage, increase revenue and savings, improve efficiency, and enhance patient satisfaction. ReferralPoint uses data and automation to alleviate staffing challenges while supporting fee-for-service and value-based care initiatives. ------------------------------ Beyond a tech vendor, we're a data-driven network management and closed-loop referral solution, delivering quantifiable financial impact insights, revenue maximization, and streamlined workflows. From reducing leakage to automating communications, we prioritize efficiency, patient satisfaction, and building high-valued Preferred Networks. Our one-click EHR-integrated solution ensures seamless workflows, including insurance verification, IdealMATCH selection, authorizations, scheduling, and real-time tracking. 

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:

None provided

Pediatric use cases:

None provided

Users:

None provided

Description:

Ideal partners look to automate, streamline, and track outbound referral processes for [de]centralized referral/care coordination teams all from within EHR workflows.

Pediatric use cases:

None provided

Users:

PCP Groups, Provider Groups, Health Systems, FQHCs, ACOs, CINs, Payers

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, Pop health platform, Community based organizations, ADT

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Athenahealth, NextGen, Allscripts, GE, eClinicalWorks, Meditech, Epic

Hardware Compatibility:

None provided

Client Types

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

Unlike our competitors, we ingest your patients, claims, and 3rd party data

Differentiators vs Competitors:

More than just a referral app...we're a Data Driven, Fully Automated, Referral Strategy Platform that allows you to:  

1. Analyze Referral Trends over three year look-back to reduce leakage, cost, improve care quality and patient experience

2. Optimize Preferred Networks with provider scoring, patient-provider matching, and actionable insights into gaps and opportunities

3. Automate Referral Workflows with provider selection, scheduling, patient communication, and closing the loop all from within your existing EHR workflow

Keywords

Images

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Referral Insights - Network GAPS & OPPS.JPG

Videos

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Data-driven, fully automated, closed-loop referral management

Downloads

No content provided

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About ReferralPoint.pdf

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Company Details

Founded in 2003

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