Healthcare │ Artificial Intelligence

AI Facilitates Ulcer Treatment Decision Making

Wovenware succeeds in creating a proof of concept for Best Option that validates a machine learning model capable of aiding in the process of selecting the right ulcer treatment.

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“Wovenware's knowledge and experience with AI models is second to none.”

Identifying opportunities together

Health professionals apply their expertise to determine the appropriate procedure to treat ulcers using their knowledge of both the patients and wounds. The decision-making process is complex given the quantity of available treatment options and the quantity of patient and wound characteristics that must be considered. leveraging high-performance

Setting a goal for success

Best Option turned to Wovenware to run an innovation sprint and create a proof of concept for and AI predictive algorithm that could help health professionals with this decision process.

Our challenges and learnings

  • Work with a limited dataset of 73 unique patients and 402 wounds and having only positive data, where treatment was effective but none where treatment was not effective or was not needed.
  • Build a predictive model for key treatment options including Primary Bandages, Secondary Bandages and Negative Pressure.
  • Build a recommender system for appropriate wound treatment in a limited timeframe.

The Wovenware Approach

To address, Best Option’s goal was to validate the feasibility of improving the efficiency of health professionals through AI models Wovenware worked on a proof of concept with a sample data set and our Innovation Sprint methodology.

Technologies we take advantage of