Increasing accuracy, speed, and efficiency in the patient referral process
The Problem
Care providers across the spectrum of behavioral and mental health consistently experience the same challenges when researching providers for patient referrals
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Difficulty matching needs to services
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Lack of real-time data
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Varied certifications and other credentials
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Splintered markets
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Lack of insight about capacity and availability
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Fragmented certifications
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Inefficient provider operations
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Absent, unclear, and outdated insurance coverage
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Limited access and availability
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Questions and clarity about quality of care
The Solution
A seamless network that addresses gaps in the current referral process, empowering providers to share insights and refer patients efficiently and effectively
Improve capacity management
Increase speed, accuracy, and efficiency
Create better patient-fit outcomes
Feedback validates the model and informs continuous improvement to the platform
Dealing with outdated and incorrect provider data impacts the care we deliver to our patients. Until now, our only reliable information has come from internal sources. We expect the prospect of accessing real-time accurate insights from NxtStep Network to be invaluable to me and my staff.
Staff Psychologist @ Inpatient SUD Facility
Speed in finding a suitable referent for our patients is critically important for us and the ability to review quality ratings for the broad range of providers we routinely seek will be a huge bonus - We expect this to result in higher confidence and better service to our clients.
Case Worker @ EAP Consultancy
Real-time insights empower members to deliver unparalleled patient-fit matching
Advantages of NxtStep Network
Premium Membership
Self-governed community empowering members from different professional disciplines to address critical needs they share
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Needs reflect the overall population
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Purely democratic process empowers Diversity and Inclusion
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Potential to establish standards of operation and reporting
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Optimize essential business services
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Develop data to drive predictive and descriptive analytics
