Modernizing Solutions 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.

Gaining Greater Visibility and Leveraging the Power of Data

Best Option turned to Wovenware to run an Innovation Sprint and create a proof of concept for an AI predictive algorithm that could help health professionals with the decision-making 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

Best Option’s goal was to validate the feasibility of using AI to improve and support health professionals in assessing and treating ulcers. Wovenware worked on a proof of concept with a sample data-set and our Innovation Sprint methodology.

Technologies we take advantage of

Building it Right

Wovenware used a sample data-set and Innovation Sprint to get it right the first time and develop an algorithm that was a proven solution:

  • By preprocessing data to remove constant variables and fill out missing values.
  • By performing an exploratory analysis to explore associations and correlations between variables.
  • By constructing 3 Random Forest Predictive Models.
Let’s create useful technology together that empowers humans and delivers impact.