Self-Referral System
The background
The solution
Our team introduced a unified platform to address these issues head on, streamlining workflows, securing patient data, and reducing waiting times. The initiative leverages digital technology to improve service delivery, aligning with modern healthcare demands and ensuring a more efficient, patient-centered approach.
How it works
Administrators can efficiently manage patient referrals and coordinate health services through a secure admin dashboard. This dashboard offers real-time updates on referrals, service capacities, and patient information, enabling effective decision-making.
Our referral management system auto-sorts and tracks referrals based on various criteria, ensuring urgent cases receive timely attention. It integrates seamlessly with existing systems like electronic health records (EHR), maintaining data accuracy and continuity across services.
The platform’s security framework includes end-to-end encryption, regular audits, and strict access controls, ensuring compliance with healthcare regulations such as GDPR. This robust security protects sensitive data while supporting comprehensive information governance. Additionally, the platform’s ability to interface with existing healthcare infrastructure makes it an invaluable tool for improving operational efficiency and patient care coordination within healthcare organizations.
The benefits
The platform’s central feature is a robust referral management system that consolidates and simplifies patient routing across various healthcare services. This function reduces administrative strain, speeds up service delivery, and enhances the accuracy of healthcare provision. It offers a streamlined experience for administrators by automating and efficiently organising referral processes.
For other organisations, the platform offers scalability and adaptability, making it suitable for any healthcare setting that requires improved coordination and operational efficiency. Its customizable nature allows it to meet diverse regional and specialty-specific needs while ensuring compliance with stringent security and privacy standards.
Research Paper
Optimizing Patient Care Pathways: Impact Analysis of an AI-Assisted Smart Referral System for Musculoskeletal Services
The NHS is facing ever-growing demands for musculoskeletal (MSK) services. With an ageing population and an increasing number of people suffering from MSK conditions, the current referral system is often overwhelmed, leading to delays in treatment, fragmented care, and administrative bottlenecks. These challenges can prolong waiting times and cause patients to miss out on timely interventions.
To address these issues, our team developed an AI-assisted Smart Referral System (SRS) aimed at transforming how MSK referrals are managed. This innovative system includes a web portal for patient self-referrals, an AI-powered triage system that provides real-time recommendations to both patients and clinicians, and a streamlined digital pathway for referral processing.
The study, conducted over 12 months, shows the SRS has reduced incomplete referrals, saved time, and cut costs for both administrative and clinical staff. By using AI to analyse patient data and recommend appropriate specialists, this system has reduced waiting times, minimised administrative burdens, and improved the accuracy of referrals. With this new system, patients are getting faster, more equitable access to care, while clinicians benefit from more efficient workflows.
Explore our full findings to see how AI is reshaping patient care and helping to create a more efficient and equitable healthcare system for all.
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We are experienced in understanding how to address all stakeholder needs when designing a solution and have experience helping numerous healthcare systems, hospitals, and trusts with their digital transformation.
