Building the backend data infrastructure to track both business metrics and clinical outcomes is costly and time-intensive. Even for a medium-sized organization, this can cost upwards of $500,000 per year, so the last thing anyone wants to do is build it wrong or get off on the wrong foot.
Dr. Nick Hayes, Chief Science Officer at Cumberland Heights, walks us through their best-in-class data science department. He and his team built out what I consider to be the best setup in the field.
Nick shares how they built it, what that setup looks like, the outcomes they've gotten, and how it's helped Cumberland improve as an organization overall and deliver even better outcomes for patients.