Intelligent Automation Can Help HHC Providers Process Referrals and Intake Patients Faster, Better, and Smarter

Summary

The Home Health Care (HHC) industry is undergoing rapid change driven by an aging population, the rise of chronic diseases, and the increasing demand for in-home care. To maintain a competitive edge, a leading HHC provider in North America needed to streamline its referral processing system, which was plagued by inefficiencies. This case study details the implementation of intelligent automation to optimize referral processing, significantly reducing response times and enhancing patient care.

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Challenge

The client, a prominent HHC provider with 10,000 employees, faced critical challenges in their referral processing system. Manual processes led to frequent errors and slow response times, undermining the client’s ability to promptly serve case workers. These inefficiencies negatively impacted the provider's competitiveness in the HHC market. The primary objective was to improve response times to referral requests by automating the existing manual processes, thereby reducing errors and delays

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Solution

To overcome these challenges, a phased approach was implemented using intelligent automation across key areas of the referral process:

1. Data Collection Automation:
   1. Objective: Automate data entry from referral sources to minimize errors and accelerate processing.
   2. Workstreams: Implement automated data entry, integrate systems across ERP, CRM, EMR, and EHR platforms, and introduced error-checking algorithms.
2. Decision-Making Automation:
   1. Objective: Utilize rule-based algorithms for consistent and swift referral acceptance decisions.
   2. Workstreams: Deploy decision-making algorithms, automate acceptance/rejection processes, and integrate these into the client’s workflows.
3. Insurance Verification Automation:
   1. Objective: Streamline insurance verification to reduce errors and speed up the process.
   2. Workstreams: Automate insurance checks, integrate with insurance databases, and enable real-time verification.
4. Scheduling Automation:
   1. Objective: Automate scheduling to minimize manual adjustments and ensure timely patient onboarding.
   2. Workstreams: Implement automated scheduling tools, introduce placeholders based on Service Level Agreements (SLAs), and enable patient self-scheduling.

Results

The implementation of intelligent automation in the referral processing system yields significant benefits for the HHC provider. By reducing manual errors and accelerating response times, providers are now able to improve service delivery, enhance its reputation, and focus on more strategic initiatives. These improvements not only strengthen the provider’s competitive position in the market but also ensure a higher quality of care for patients.

• 90% Reduction in Processing Time: Significantly faster referral processing.
• Increased Referral Acceptance Rates: Improved ability to accept more suitable patients quickly.
• Enhanced Reputation Among Case Workers: Positive feedback due to improved response times.
• Improved Operational Focus: Staff redirected focus to higher-value tasks.‍
• Strengthened Market Competitiveness: Enhanced position and ability to attract more viable referrals in the HHC market.

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