Why Health Systems Should Build Their Own AI Models

With so many commercialized algorithms on the market, many health systems have an important decision to make: Should they buy an artificial intelligence (AI) model or build their own? If a health system elects to build its own model, it has to invest time and manpower into it. But the benefits could be tremendous. The case for building a customized AI model is simple: Instead of the algorithm learning on national data, it is learning on the health system's data, said Pamela Peele, Ph.D., chief analytics officer at UPMC insurance division and UPMC enterprises. She spoke during a World Health Care Congress keynote called "More than Buzz: Realize the Potential of AI and Machine Learning."