As organizations attempt to solve problems of commercialization, chronic condition identification, acute event prediction, or even provider performance and efficacy, many make significant hires in analytics and data science.
To be effective they must:
1) understand the nuances of their industry and data,
2) have their data organized in such a way that it can even be leveraged by AI packages and libraries,
3) know whether they even have the right data to answer key business questions.