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Every year more than 20 million people are diagnosed with cancer. Every year 10 million patients will die from cancer.
Worldwide cancer care is organised through cancer registries. Many are still analog and those that are digital are little more than glorified lists with archaic data formats, complex data collection requirements, and confusing standards.
Most cancer care systems fail to leverage advances in modern technology, that can transform care for the better and improve global patient outcomes.
Cancer patients deserve better and Sofia Oncoflux can deliver the transformative healthcare they deserve.
Sofia Oncoflux provides an unique workflow management system that provides both patient and population level benefits.
Sofia Oncoflux provides an advanced data collection, validation, and standardisation engine that allows for better care at point of delivery.
Sofia Oncoflux provides an advanced analytics and reporting system that will provide insights at different levels of aggregation – from a single ward to an entire country.
Sofia Oncoflux is a clinician led middleware management that can integrate data from different sources and provide optimal care. Oncoflux can automate and probabilistically schedule patient care points, investigations and treatments and predict future resourcing requirements at different levels of granularity.
Powerful functionality packaged in a beautiful, intuitive UI
Voice scribe data entry
Optimised paths to common tasks
Validation of data at point of entry for both internal and external data
Multi-layered validation system throughout the data life cycle
Role based access and task based information delivery
Automate common tasks
Inbuilt tumour staging system
Improved decision making with AI and stastistical modelling
Customisable prioritisation of patients and tasks
Automated screening for research trials
Comprehensive patient tracking along entire pathway
Smooth, effortless flow of patients and data
Individualised risk prediction, prioritisation, and treatment planning
High quality referral processes within and outside system
Interface for patient apps
Automated MDT scheduling with bespoke prioritisation critera
Intelligent scheduling for appointments, investigations, and interventions
Integrated R&D and innovation evaluation support
Probabilstic logistical estimates
Prediction of future activity
Evidence based workforce and resource planning
Business planning backed with historical data
Run in-silico experiments for alternate future scenarios
Optimally match resources to requirements
Modular system with accurate recording of costs and billing access
Confident decision making with agile processes
Analytics platform with a judicial use of AI, algorithms and statistical learning methods
Interoperable with other systems through standard APIs
Strong data ownership and privacy guarantees
Modular, extendable framework to incorporate third party solutions for added value