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Databricks provides an ideal solution by combining powerful analytics capabilities with HIPAA-compliant security. The platform seamlessly integrates diverse healthcare data sources — from claims to clinical records — while supporting both standard reporting and sophisticated machine learning applications, all in a cost-effective, unified environment.
Many vendor data platforms promise to solve key challenges, but they are often expensive, rigid, and limited in scope. These products have a limited purpose and rarely provide the flexibility organizations need to fully address their unique requirements. Many of their functions can be replicated in Databricks, giving customers complete visibility into data pipelines, models, and analytics.
Read more below to learn how Keywell has helped healthcare organizations unlock the full potential of Databricks by unifying data from clinical, financial, and operational systems into a single platform.
Keywell leverages Databricks to build patient risk stratification solutions for healthcare organizations. We use the Databricks data catalog, called Unity Catalog, for source management, workflows for data enrichment and ETL, machine learning tools for predictive modeling, and dashboards to demonstrate results.
Databricks unifies healthcare data and analytics in a single, HIPAA-compliant platform. This comprehensive environment enables organizations to centralize their data operations while supporting both routine reporting and advanced analytics processes.
Keywell uses Databricks to develop custom large-language models trained for healthcare use cases, with guardrails to manage risk. For example, we develop tools specifically designed to analyze clinical coverage policies, state health and human services policies, and even healthcare datasets.
Databricks is a leading tool for developing secure and HIPAA-compliant AI solutions. Built-in model development makes it feasible to rapidly deploy real-world use cases for healthcare AI.
Databricks Genie enables our client to ask questions of the data in plain language and receive analytical responses, without the need for a data analyst or dashboard.
Our healthcare data solution includes a healthcare-ready data lake with common data sets required for healthcare analytics, such as updated NPPES, AHRQ, Medicare utilization, CMS public use datasets, and synthetic claims data for experimentation. We have built-in data pipelines and ontologies to accelerate implementation of the healthcare data lake and enable rapid insights without the significant ongoing expense of a third-party platform or SaaS solution.
Creating a data lake or enterprise data warehouse for analytics and AI is a seamless process with Databricks.
Databricks Unity Catalog unifies data sources across an organization, including external SQL databases, spreadsheets, and document repositories.