
Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. These levels range from the external âworldâ in which the institution operates down to the specific technologies. Data scientists find that, when they aim at implementing their models in practice, it is the âsocioâ components that are both novel to them and mission critical to success. At the end of this course, stude
Harold P. Lehmann, MD, Ph.D.
Division of Health Sciences Informatics