Product & Tech

Langman loves that the tech at Iodine enables company growth. For example, Langman said that Iodine currently receives and analyzes roughly 15 percent of all inpatient data in the United States. A few years ago, the company delivered this data via its app. But now it’s been able to leverage that data to develop several more apps and services that are available as a suite of apps.

As the owner of engineering for data solutions and core platforms, Yao is leading the development of Iodine’s next-generation platform, which involves putting its back-end engine, web applications and data pipelines under a microscope. The first order of business is to peel off the data models from its existing monolith solution and host them on a separate machine-learning platform. “This will give our data science team more flexibility, speed up the process from model creation to production launch and shift the burden of model management and productization,” Yao said.

“Ultimately, everything we do with AI is so hospitals can focus on patient care,” Palackan said. The company’s current work with artificial intelligence centers around bringing a new solution for helping health systems solve pain points related to utilization management. Palackan and her team are taking the lead on the launch of this new product, which is powered by Iodine’s CognitiveML AI engine and is designed to increase team efficiencies and help reduce denials downstream, “We keep the voice of the customer at the heart of how we think about our product roadmap,” Palackan said.