Healthcare platform streamlining patient follow-ups
Highlights
The Client
A healthcare solutions provider with over 12 years of experience in clinically-led electronic referral management. Originally a consulting group, they have evolved into a leader in healthcare management, focusing on optimizing patient care processes and resource allocation. Their solutions support healthcare providers in improving accessibility and streamlining patient referrals.
Product/Service
The client offers a suite of healthcare solutions, including electronic referral management and capacity planning. Their patient-initiated follow-up (PIFU) system enables self-scheduling, reducing administrative burden while improving efficiency and patient experience. The system is designed to integrate seamlessly with NHS workflows, ensuring compliance with healthcare standards.
Goals & Objectives
The main objective was to develop an AI-driven platform that enhances diagnostic accuracy, streamlines data processing, and enables real-time health monitoring. By reducing the time required for patient data review, the platform allows for faster diagnoses and more precise medical assessments while minimizing human error.
Another key focus was continuous patient monitoring, helping healthcare providers detect potential health risks early. The solution also automates administrative tasks, freeing up clinicians to focus on patient care. Through these advancements, the client aimed to create a more efficient, data-driven healthcare system that improves both provider workflows and patient outcomes.
Project Challenges
Developing an AI-powered healthcare platform came with significant challenges, particularly ensuring data privacy and compliance with strict regulations while maintaining seamless integration with existing EHR systems. The platform needed to handle multiple data formats and ensure smooth interoperability across providers.
Real-time processing was essential, requiring continuous analysis of patient metrics and instant alerts. High accuracy was critical, as even small AI-generated errors could lead to misdiagnoses. To succeed, the solution had to combine advanced AI technology with secure, scalable, and efficient data processing.
Solution
To address these challenges, we developed a secure, AI-powered diagnostic platform that enhances decision-making and optimizes healthcare workflows. Advanced machine learning models process patient data in real time, improving diagnostic accuracy while reducing manual errors. The platform seamlessly integrates with existing EHR systems, consolidating data from multiple sources into a unified, accessible interface.
Real-time monitoring enables continuous tracking of patient metrics, allowing healthcare providers to detect potential health risks early. With end-to-end encryption and strict adherence to healthcare regulations, the platform ensures patient data remains secure. A user-friendly dashboard further enhances usability, providing medical professionals with an intuitive interface to quickly access critical insights.
Our Results
The custom AI-powered platform delivered by Althera Code team significantly improved diagnostic efficiency, data accuracy, and patient monitoring capabilities. Key outcomes included:
This project successfully transformed AI-driven diagnostics into a powerful, practical tool for healthcare providers, helping them enhance patient care, optimize workflows, and improve clinical outcomes.
Drop Us a Line
Locations
Tallinn, Estonia
linnaosa, Vesivärava tn 51-202, 10152