By Gary Gau
Originally published on December 13, 2016
Here is an excerpt:
In today’s ever-changing landscape, the health actuary is part clinician, epidemiologist, health economist, and statistician. He or she combines financial, operational, and clinical data, such as information from electronic medical records, pharmacy use, and lab results, to provide insights on both individual patients and overall population health.
I see a future where predictive modeling helps health care companies not only suggest healthy behaviors but also convince patients and consumers to adopt them. Predictive modeling techniques can be applied to information that can influence an individual’s decision to use preventive care, accurately take prescribed medication, book a doctor appointment, lose weight, or become more physically active.
The trick will be identifying the trigger that gets him or her to act.
Insurers must understand their patient populations, including the barriers they face to achieving better health. To create solutions, insurers must first understand the psychology of motivation and what leads individuals to change their behavior. That’s where the precision approach comes into play.
The article is here.