Assists oncologists to manage and streamline patient referrals, centralising case details such as health indicators, imaging results, and symptoms
(Market approval not required) Platform to support oncologists to manage and streamline patient referrals
Patient Demographics: Name, date of birth, contact information, etc.Referral Information: Referring physician, reason for referral, relevant medical history, etc.Key Health Indicators: LVEF, GLS, Troponin levels, Late GAD (MRI), Perfusion (MRI), GTAB, etc.Drug History: Current medications, dosages, etc.Symptoms: Patient-reported symptoms and their severity.Test Results: Results from various tests assigned to the patient.
Automated Alerts: Notifications triggered by abnormal test results or health indicators.Visualisations: Graphs and charts displaying health data trends, operational metrics, and clinical outcomes.Reports: Potential research publications.International Registry: Anonymised patient data for research and analysis.
Asterion is a platform allowing oncologists to manage patient referrals. The platform is designed to centralise patient case details, including referral specifics and oncologist reports, thus offering a streamlined process. It not only improves the referral management process but also allows for efficient case assessment. This database contains the patient records, inclusive of key health indicators such as LVF, GLS, Troponin levels, Late GAD (MRI), Perfusion (MRI), GTAB, current medication, and symptoms. Oncologists have the ability to delve deeper into the data and initiate referrals. Once the Cardiothoracic team begins working with a patient, a notification is sent to the Oncology team, ensuring clear, efficient, and immediate communication among healthcare providers
Asterion’s aim is to improve the outcomes of cancer patients suffering with chemotherapy-induced cardiomyopathy, but the core platform is capable of managing many care pathways with some refactoring. In doing so, it would allow to better manage consultant to consultant referrals, which would in turn improve patient outcomes, create a significant data repository for cancer testing, referral and management, and leverage AI to significantly reduce human resource burdens.
Reduced Operational Costs: Increased efficiency and reduced manual effort can lead to cost savings.Improved Resource Allocation: Data-driven insights can help optimise resource allocation and staffing.Potential for Research Funding: The international registry feature can open opportunities for research funding and collaboration
Asterion has not yet been piloted, however after rigorous testing of the software and AI and user feedback, it is now ready to be used within an organisation
