Integrate EPIC data source for healthcare customers
How it Works
EPIC is the most common EHR (electronic health record) system used in the United States. Many hospital systems and providers use EPIC as their main data store and to host machine learning models as well. Models deployed in EPIC can be consumed by end-users, such as physicians and nurses. Model predictions can be used to create dashboards or written into patient records.
Leveraging your data from EPIC to develop customized machine learning model with DataRobot is crucial to generate predictions and deliver value to the business. DataRobot models are tailored to your actual data with insights and transparency, instead of an off-the-shelf black box model trained on generic data. DataRobot also enables you to run many different type of modeling approaches in one go, as well as host and monitor model in production.
AHEAD can help you to develop end-to-end machine learning solutions with data in EPIC Charity or Caboodle, together with other data sources using Fivetran, in either Cloud or on-prem setup. The data integration pipeline also can be established with EPIC FHIR API endpoint.
After model experimentation, the best model can be deployed into EPIC using Nebula and monitored with DataRobot monitoring agent. Alternatively, the models can be deployed in DataRobot directly, with the benefit of native model monitoring capability in production.
The solution is HIPAA compliant with security and governance.
- Data integration for EPIC Clarity and Caboodle with other data sources using Fivetran
- JDBC connector or other cloud data integration services
- Data ingestion into Snowflake or another database
- Data engineering and transformation pipeline developed with dbt Labs
- Develop machine learning workflow and models in DataRobot
- Model deployment and monitoring in EPIC or DataRobot
- Secure and HIPPA compliant end-to-end data pipeline and machine learning workflow
About the Partner
AHEAD excels at building digital platforms, modernizing infrastructure with cloud-native capabilities in software engineering, data engineering and data science. AHEAD helps customers to accelerate their digital transformation through digital strategy consulting and professional services using modern tech stack and platforms.
AHEAD provides services around cloud transformation and migration, agile coaching and DevOps enablement along with software engineering, data engineering and data science with modern data and AI architecture. For the data and analytics services portfolio, AHEAD delivers data strategy roadmap aligned to business strategy, data migration from legacy database to cloud, data pipelines and actionable insights integrated with end-to-end machine learning solution using DataRobot.
Healthcare is one of the most focused vertical for AHEAD, with around 40% clients in the industry. AHEAD has worked with over 150+ Epic customers for their infrastructure deployment projects. Here are several AHEAD’s referenceable healthcare provider customers: Lurie Children’s Hospital, Northwestern Memorial Hospital, Mayo Clinic, Community Health Systems, Beth Israel Deaconess Medical Center, Beaumont Health and HCA Healthcare.
Are you ready to visualize the power of our solution? In the ‘Solution Diagram’ section, we present an intuitive visual representation of how our cutting-edge technology addresses your challenges. Our innovative approach, combined with your valuable content, will create a compelling and comprehensive solution diagram. Let’s collaborate to showcase the seamless integration of our platform and empower our users. Fill this section with your expertise and insights to bring our solution to life!
AHEAD FHIR Health API experience
AHEAD helped the client to build a single customer access portal for all their patients to access. The client has acquired various healthcare companies over the last few years creating a disparate system that made it very inconvenient for patients to access their healthcare information in a central place. AHEAD built a gateway that allows a single point of entry for communications to the various EPIC and other health systems sources via FHIRs, thus allowing the patients a single point of access. The unified data in the backend can be then used for machine learning projects across all the systems.
End to End Solutioning for a Top Healthcare Provider Customer
The outcome is to have a fully automated machine learning platform that’ll allow the customer’s Data Scientists to build, train, & deploy machine learning models into production through a CI/CD pipeline with full security controls to allow for the handling of PHI data.