Can Artificial Intelligence in Healthcare Reduce Medical Errors?

In 2016 the Centers for Disease Control and Prevention reported that medical errors and misdiagnosis were the 3rd leading cause of death in the United States[1]. This is an alarming fact that healthcare and technology researchers are aiming to change.

Enter Artificial Intelligence (AI), the use of computer and technology systems to perform tasks normally requiring human intelligence. In the healthcare world, AI is used to comb through patient data. Technology systems and the algorithms they run can scrub massive amounts of data in a more accurate and efficient manner than when reviewed by human scientists or medical professionals— unveiling patterns in diagnosis, suggesting treatment plans for similar cases, and collecting data to enhance public health and safety. That may translate to better and more accurate diagnosis.

Patients can expect to see more integration of AI into their routine healthcare. Many healthcare centers are adopting technology to streamline patient information and monitor chronic conditions remotely. mymo.AI is developing AI systems to better manage patient data, allowing healthcare providers to make more informed decisions and create comprehensive care plans that allow them to stay in closer communication with their patients.

[1] Reference: “The Amazing Ways How Artificial Intelligence And Machine Learning Is Used In Healthcare” by Bernard Marr. Forbes, Oct 9, 2017.