Case Study — Healthfirst Achieves Agile AI/ML in Healthcare
Learn how Healthfirst’s analytics team has dramatically enhanced its ability to train, test, and deploy AI-based models. The team has developed 978 custom features to supplement 612 features created using WellSect’s pre-built templates.
As a healthcare innovator and early pioneer in value-based healthcare, Healthfirst realized that developing robust predictive capabilities was critical to improving member outcomes while reducing costs, and made the development of agile AI/ML capabilities a top priority.
Since 2019, they’ve partnered with WellSect for a comprehensive suite of tools and pre-built templates supporting all aspects of healthcare machine learning. WellSect’s tools enabled the team to rapidly build, iterate on, and validate predictive models and deploy them to clinical end-user workflows.
Read the case study to learn how Healthfirst has implemented an agile AI development process with WellSect. Healthfirst has defined and built 1,590 healthcare-specific ML features and has 17 predictive models currently deployed.
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Healthfirst Partners with WellSect to Predict the Future
By working together with valued partners, Healthfirst is able to reach higher to serve our 1.7 million members and be a force for good in the community. In this story, Healthfirst’s Christer Johnson, Chief Analytics Officer, speaks with Andrew Eye, Chief Executive Officer, WellSect.ai, about our work together.
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