Case Study: ArmadaHealth improves patient matching and Net Promoter scores with H2O.ai Driverless AI

ArmadaHealth cuts model build time from months to days with H2O.ai

ArmadaHealth, a healthcare navigation company, faced the challenge of helping patients find the right medical specialists by turning vast amounts of unstructured patient review data into usable signals. Building a natural language processing model with traditional methods would have required a large, expensive team of data scientists and taken months to complete. To solve this, they turned to H2O.ai and utilized its H2O Driverless AI product.

Using H2O Driverless AI's automatic machine learning and NLP capabilities, ArmadaHealth built a sentiment classification model that scores patient reviews across key dimensions like treatment outcome and communication. This solution enabled them to quickly and accurately match patients to specialists without needing a massive data science team. The implementation by H2O.ai achieved results equal to or better than a hand-built model, drastically reduced model development time from months to days, and contributed to an increase in the company's Net Promoter Score.

ArmadaHealth