Different types of bias, whether intentional or unintentional, have been a concern among HR departments for decades. In fact, psychologists have defined more than 180 human biases.

Artificial intelligence (AI) and machine learning (ML) programs have been promoted as a more objective, less biased way to screen, hire, and train job candidates. Unfortunately, humans may program biased information into algorithms, skewing results. AI programs also may exhibit bias when they lack sufficient, representative data.

Why Healthcare HR Should Embrace Artificial Intelligence

Many supporters of artificial intelligence (AI) in healthcare promote its potential for improving diagnostics, predicting treatment effectiveness and patient outcomes, and providing new insights into EHR data and population health. While AI does have potential for clinical application, it may also have a future in healthcare human resource (HR) departments.

Advancing Innovation in Healthcare in the New Decade

Both the clinical and administrative sides of healthcare are constantly evolving, from screening job candidates to conducting patient visits to training medical students. As we enter a new decade marked by a global pandemic, these advancements create significant challenges and opportunities for all parts of a healthcare organization.