Can computers diagnose patients as well as doctors? Read on to see how tech can help diagnose and treat patients at a lower cost.
New research out of Indiana University suggests “machine learning” — the technology behind voice recognition systems, self-driving cars to name a few — could help cut healthcare costs by more than 50 percent and improve patient outcomes by nearly 50 percent.
Researchers in the study were able to successfully get computers to “think like a doctor” by using computer models to simulate numerous alternative treatment paths in the future, in addition to continuously planning treatments as new information surfaced.
The studies were not disease-specific, indicating the tech could work for any diagnosis or disorder when relevant information is imputed.
“We’re using modern computational approaches to learn from clinical data and develop complex plans through the simulation of numerous, alternative sequential decision paths,” said Casey Bennett, a researcher involved in the study. “The framework here easily outperforms the current treatment-as-usual, case-rate/fee-for-service models of health care.”