Referral Management System Lockstep Intake Workflow
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Solution Overview
Problem
Current referral management processes in social services, healthcare, and human services are labor-intensive, inefficient, and often rely on manual tracking with spreadsheets and paper, leading to missed information, lengthy processing times, and a lack of accountability, particularly in behavioral health and substance use disorder organizations.
Innovation Solution
A comprehensive referral management system that streamlines the intake process through a lockstep, customizable workflow with stages for screening, assessment, tour, and authorization, utilizing artificial intelligence for verification and tracking, and providing a visual representation of referral status, ensuring all required steps are completed before progression to the next stage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual tracking with spreadsheets and paper is used, then flexibility and ease of setup are maintained, but processing time increases and information may be lost
Solution Approach 1:
The intake process is divided into distinct stages (new, screening, assessment, tour, authorization, queue) with specific tasks and criteria for each stage. This segmentation allows the system to track referrals systematically through multiple steps without overwhelming complexity, as each stage has defined requirements and progression rules.
Solution Approach 2:
The system performs preliminary actions by automatically creating patient records, assigning referrals to stages, and checking criteria completion before allowing progression. This automated preliminary processing reduces manual effort and ensures consistency without requiring complex human intervention at each step.
2Reliability
If comprehensive screening criteria are implemented, then referral quality improves, but processing time increases
Solution Approach 1:
The system provides automated feedback by tracking which criteria are met and which are pending for each referral stage. This feedback mechanism ensures comprehensive screening without manual tracking, as the system automatically monitors completion status and prevents progression until requirements are satisfied, maintaining reliability while reducing processing time.
Solution Approach 2:
The system performs self-service by automatically checking criteria completion, updating referral status, and managing stage transitions without requiring manual verification. This automation maintains comprehensive screening standards while significantly reducing the time intake personnel spend on administrative tracking.
3Ease of operation
If decentralized processing is allowed, then staff autonomy is maintained, but consistency and accountability decrease
Solution Approach 1:
The system provides universal functionality by implementing a standardized workflow that all intake staff must follow, while allowing customization of specific criteria and tasks. This universal framework ensures consistency across all users, while the system's multi-functionality accommodates different organizational needs and staff preferences through configurable parameters.
Solution Approach 2:
The system maintains accountability through automated feedback that tracks which staff members perform which actions at each stage. This feedback mechanism ensures consistent application of screening criteria while allowing staff autonomy in completing tasks, as the system records and reports on individual performance without micromanaging the process.
4Loss of information
If multiple spreadsheets and documents are used, then information can be tracked, but ease of operation decreases and training requirements increase
Solution Approach 1:
The system merges multiple separate tracking documents into a single integrated platform that consolidates all referral information, criteria, and status tracking in one place. This consolidation eliminates the need for staff to manage multiple spreadsheets and documents, reducing complexity while maintaining comprehensive information tracking through a unified interface.
Data Source
AI summary
The present disclosure relates to a novel and advantageous referral management system, tool, and method for processing and intaking clients. More specifically, the present disclosure relates to a novel and advantageous system, tool, and method with the screening capabilities to quickly and easily process referrals or potential clients using a lockstep and reviewable process to determine which persons will become accepted clients and which will be declined according to general and organization-specific criteria.