CONTEXT:

Our healthcare client faced challenges in efficiently defining patient medication parameters due to the complexity of healthcare data and the intricate nature of each parameter in Electronic Health Records (EHR).

RESOLUTION:

We assembled a specialized team with deep expertise in healthcare data and Artificial Intelligence (AI). This team leveraged AI technologies to identify and define medication parameters based on a wide range of criteria tailored to the client’s needs. In addition to this, our data scientists and analysts uncovered patterns and potential issues in patient data, delivering actionable insights that facilitated improved healthcare outcomes and more informed decision-making.

RESULT:

Using advanced data analytics, our team identified broader trends in medication adherence across various patient populations. These insights enabled the development of more effective interventions and support systems. The team utilized AI cloud platforms, services, and machine learning algorithms to define and manage these parameters—ensuring long-term usability and cost-effectiveness of the deployed AI applications.