AI Case Studies

Kaiser Permanente

Kaiser Permanente is one of the USA’s largest health plans, serving 12.3 million members via 39 hospitals and over 217,000 employees. This case study shows how it leveraged John Snow Labs’ AI Platform (for model training, deployment, and monitoring) and Spark NLP (for extracting key features from EMR notes) to optimize hospital patient flow models. The solution enabled real-time decision-making and strategic planning, by predicting:

  • Bed demand
  • Safe staffing levels
  • Hospital gridlock

Kaiser Permanente uses Spark NLP to integrate domain-specific NLP as part of a scalable, performant, measurable, and reproducible ML pipeline and improve the accuracy of forecasting the demand for hospital beds.

Executive Director, Analytics Foundation at Kaiser Permanente


Usermind built its data science platform from scratch and deployed into production with live customers in 3 months – by using John Snow Labs’ out-of-the-box AI Platform. The deployed capabilities included data integration, visualization, training machine learning models, and deploying models to production – all within a hardened, enterprise-grade environment.

John Snow Labs delivered a whole new revenue stream for Usermind within three months.

VP Product, Usermind

SHM Foundation

The Khuluma project was carried out to enhance positive mental health amongst HIV-positive adolescents in South Africa, with the aim of reducing and ultimately preventing the spread of HIV & AIDS. Khuluma is an integrated, cost-effective and scalable health platform, leveraging the power of mentoring to facilitate interactive closed groups of 10-15 participants. John Snow Labs delivered the data analysis and data science aspects of the project, whose results were presented at the AIDS 2016 Conference.

It was a pleasure to work with John Snow Labs and we were deeply impressed by their passion for the work we do and by their drive for extracting the best data from Khuluma.

SHM Foundation Director