Enhancing patients adherence with A.I.
Background
The life sciences sector is at the forefront of innovation, particularly in the healthcare industry where AI applications are implemented to revolutionize
patient care. Despite advancements, the pharmaceutical industry has never really tackled improving patient adherence without concrete solutions.
Partnering with Novellas Healthcare since 2023, CROPLAND has taken on the challenge of improving patient adherence with the help of AI.
Goals
With the support of VLAIO a feasibility study was initiated focusing on 2 primary questions:
1. Can therapy adherence be accurately measured?
2. Is it possible to predict patient therapy adherence?
Process
CROPLAND analyzed Novellas Healthcare’s datasets, focusing on adherence programs and factors like age, location, disease, and dropout rates, while Novellas Healthcare developed Dynamic Forms to capture structured patient data securely.
Add sensitive data and an initial vague description of therapy adherence to the equation and it is clear that analyzing this was no piece of cake.
With a custom data pipeline, CROPLAND data engineers were able to transform unstructured patient surveys into workable data. This data was then used to test the correlation between various factors and therapy adherence. Interpretation of this data was supported by Novellas Healthcare experts who were continuously involved in the project. This iterative approach created a synergy between both partners, leading to better results than either could have achieved separately.
Results
Face-to-Face (F2F) Visits: significantly improve adherence compared to digital-only interactions.
Optimal frequency of visits is crucial, as too many visits have an equally negative impact on therapy adherence as too few
Other Factors: age, location, and gender showed less significant impact on adherence.
We’ve successfully quantified and measured therapy adherence, enabling personalized actions to maximize adherence. By combining A.I. and healthcare expertise, Cropland and Novellas Healthcare are paving the way for innovative solutions.
Healthcare AI I Data Analysis I Healthcare sector I Life science
