Florida Hospital Utilizes Machine Learning Artificial Intelligence Platform to Reduce Clinical Variation in Its Healthcare, with Implications for Medical Laboratories

Pathologists and clinical laboratory scientists may find one hospital’s use of a machine-learning platform to help improve utilization of lab tests both an opportunity and a threat Variation in how individual physicians order, interpret, and act upon clinical laboratory test results is regularly shown by studies in peer-reviewed medical journals to be one reason why some patients get great outcomes and other patients get less-than-desirable outcomes. That is why many healthcare providers are...

Machine Learning System Catches Two-Thirds More Prescription Medication Errors than Existing Clinical Decision Support Systems at Two Major Hospitals

Researchers find a savings of more than one million dollars and prevention of hundreds, if not thousands, of adverse drug events could have been had with machine learning system Support for artificial intelligence (AI) and machine learning (ML) in healthcare has been mixed among anatomic pathologists and clinical laboratory leaders. Nevertheless, there’s increasing evidence that diagnostic systems based on AI and ML can be as accurate or more accurate at detecting disease than systems without...

Doctors Get Electronic Help with Their Diagnoses Via Decision Support Software

Misdiagnosis by doctors leads to many of the cases that we hear about in the news (or on the TV show “House.”). We live in an age where doctors are under pressure to see as many patients in as little time as possible. Not surprising, then, that many physicians often diagnose the most obvious medical condition they deem appropriate without full and detailed consideration of what alternative medical conditions may also be present. Kaiser Permanente and the Veterans Health Administration are...
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