Musculoskeletal disease (MSK) Case Study
Client Data Profile
• A triage software platform that matches MSK sufferers to treatments pathways • Reducing pressure on front-line services and empowers patients to self-help solutions
• Data enriched platform that collects wide range of patient data points
• Utilised by businesses, regional communities, and healthcare professionals
• Acquires customers via affiliated businesses, and white-labelled offerings
Objectives
• Calculate industry specific, mathematically driven data value for leverage in an exit strategy to corporate wellness clients
• Understand the value of data for MSK related to the following
1. MSK pathways
2. Number of clients and platform users
3. Detailed data records and statements across the business
• Insights on how to breakdown data value by client, pathway, and patient
Our approach
Methodologies Utilised
A mathematical hybrid of:
Consumption Method: This was a cost-inclusive, consumption-based method, which relies on data ownership, a repository or platform with consumable data and consumers to consume the data.
Adapted Shapley’s Value Method: To calculate the value of an data set used for AI, based on its contribution to algorithms. This method is specifically used for AI data valuation
- A bespoke data decay model was used based on average data age, rate of decay and industry level factors
Why it was selected
An additive hybrid of the two methods were selected because:
• Consumption: The assessment platform contains consumable data from old customers, that is being consumed by new customers
• Cost: Unique data from body parts and patients have a replacement value
Insights & Recommendations
• Value by client and pathway and additional value by client
• Value under different data quality conditions
• Potential missed value due to incomplete assessments and deprioritised use cases
• Development of a split “platform to data” where the two can be sold to separate interested parties