Inotec AMD, specialising in continuous topical oxygen therapy (cTOT) through its NATROX product, offers technology and an online platform for healthcare professionals to improve the efficiency and effectiveness of wound care management. They sought an interactive, data platform to enhance wound measurement, reporting and assessment, aiming to produce predictive models for better patient outcomes.
Centralised web based platform for analysis of global patient and wound data.
AI based predictive model for wound healing to support patient recovery.
Dynamic dashboard for drill-down and detailed analysis of records.
Data API supporting integration with 3rd party systems.
Excel and Powerpoint automated report generation for onward analysis and distribution.
Based in the UK, but with clinics across the globe, their assessment centres are specifically situation in locations where wounds can be frequent and severe in nature.
With a growing cohort of anonymised patients, valuable sample, demographic and statistical information can be extracted and projected to support predictive outcomes.
And with many patients presenting multiple wounds and additional complications, the information collected provides a valuable source for AI based prediction.
Taking a legacy system as a basis on which to improve, we worked through a backlog of good, bad, desirable features to form a specification on which to build.
These were then translated into a cloud based data platform which allowed for integration with 3rd party systems and a responsive new user interface.
With the new feeds of data now connected, the platform was used to carry out a detailed comparison and subsequent analysis of the data to develop a predictive algorithm for wound healing.
As new sources of data come on line, we continue to support Inotec with the platform, further feature enhancements and improvement of the predictive models.
Whilst the legacy platform provided a stepping stone to data collection, the new platform allowed for more extensive data analysis.
As the volumes increase, the tools are now there to support a scalable ramp up in analysis capability.
We look forward to continuing the work with Nick and team as additional clinics are introduced in new regions.
