Tyler Kent

Background

Tyler started in supply chain and logistics. At a medical device company he moved into clinical statistics and programmed datasets for FDA submissions. Since then he has worked in healthcare research and data science leadership. His Medicare claims work supported analyses behind federal drug-price negotiation policy and the Independence at Home Act of 2017.

He has led the build of two companies' data platforms from zero, once as director of data science and once as a consultant. Both were built on Snowflake and dbt, with a semantic layer (one agreed definition for each measure). As director he grew the data science team, added AI self-service analytics (staff ask a question in plain English and get the number or a generated dashboard) and founded a research institute that publishes from the company's own care-coordination data. He has also guided multiple organizations on how to put AI into practice.

He led delivery of a public healthcare data platform with hundreds of interactive charts. He also designed and built the four AI systems that find new material for it, turn findings into graphics, check it for errors and brief leadership on it: Tessera, Emblema, Sentinel and Opus. At a healthcare software company he designed and implemented a customer health score, which rated each client account so the staff who look after clients could see which ones needed attention. Annual client renewal there was 97%.

He has worked under HIPAA with CMS and Medicare claims data and under FDA rules at the device company. As a startup co-founder he built a data architecture that had to meet FERPA, the federal privacy law for student records.

Tyler holds two business degrees from Arizona State University, one in supply chain management and one in business management. The supply chain training is why he looks at an operations problem by finding its bottleneck and following how work flows through it. Kent Applied is the firm he founded to do this work directly for clients.