What hospitals should consider when choosing AI tools:
Some healthcare organizations are turning to artificial intelligence and machine learning because of the enhancements these advanced technologies can make to patient care, operations and security. But assessing the promises of the technologies can be difficult and time-consuming, unless you’re an expert.
Two such experts weigh in with insights hospitals should understand when both planning and purchasing AI tools.
Raj Tiwari is chief architect at Health Fidelity, which uses natural language processing technology and statistical inference engines, mixed with analytics, to identify and correct compliance risks, and Brent Vaughan is the CEO of Cognoa, a company that develops AI tools for diagnosing medical conditions.
Their advice: Know that AI and machine learning are augmentative tools, understand that size matters among data sets, real-world applicability is a must, and the tools must be trained and validated.
This article originally appeared on HealthcareITNews.com. To read the full article, click here.