Dataiku for Healthcare
Dataiku is the platform democratizing access to data and enabling healthcare organizations to build their own path to AI by:
- Making AI accessible to a wider population (including not just data scientists, but physicians, analysts, and business staff).
- Facilitating and accelerating the design of machine learning models to create AI-driven services.
- Providing a centralized, elastic, and governable environment that drives a responsible AI strategy.
Specifically, users and organizations in the healthcare space can leverage Dataiku for:
Automatic data processing and cleaning that can consolidate data from a variety of ordered (e.g., tabular) sources or sensor data. Pre-processing enables users to use “fuzzy matching” to clarify discrepancies in name and identity between different medical records.
Collaboration for technical, business, and medical users means that all stakeholders can visualize and understand the roots of data-driven insights, thus demystifying the “black box” and improving trust in AI-enabled systems.
Regulation-compliant access restricts which users can access what data, and pseudo-anonymization capabilities allows users without the necessary access permissions to engage with and learn from sensitive data without compromising patient privacy.
Subpopulation analysis equips users with tools to see how machine learning models respond to specific populations (e.g. age group, procedure type, prescription). This is particularly useful when exploring biases or anomalies within a system and can highlight areas for improvement in future updates.