CMS Considers Using Artificial Intelligence to Battle Fraud; Medical Laboratories Must Ensure Billing Practices Comply with New Federal Affiliation Regulations

Physicians and clinical laboratories that do business with other healthcare providers who have been denied enrollment in Medicare or had their enrollment revoked are under increased scrutiny Efforts by the Centers for Medicare and Medicaid Services (CMS) to crack down on fraud could soon be bolstered by artificial intelligence (AI) tools, placing new pressure on medical laboratories and anatomic pathology groups to ensure that their billing practices are fully compliant with current federal...

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...

Hospitals Worldwide Are Deploying Artificial Intelligence and Predictive Analytics Systems for Early Detection of Sepsis in a Trend That Could Help Clinical Laboratories, Microbiologists

Though medical laboratory testing is key to confirming sepsis, predictive analytics systems can identify early indications and alert caregivers, potentially saving lives Medical laboratory testing has long been the key element in hospitals’ fight to reduce deaths caused by sepsis, a complication caused by the human body’s response to infection which can injure organs and turn fatal. But clinical laboratory testing takes time, particularly if infectious agents must be cultured in the...

Could Biases in Artificial Intelligence Databases Present Health Risks to Patients and Financial Risks to Healthcare Providers, including Medical Laboratories?

Clinical laboratories working with AI should be aware of ethical challenges being pointed out by industry experts and legal authorities Experts are voicing concerns that using artificial intelligence (AI) in healthcare could present ethical challenges that need to be addressed. They say databases and algorithms may introduce bias into the diagnostic process, and that AI may not perform as intended, posing a potential for patient harm. If true, the issues raised by these experts would have...

Artificial Intelligence Systems, Like IBM’s Watson, Continue to Underperform When Compared to Oncologists and Anatomic Pathologists

Though the field of oncology has some AI-driven tools, overall, physicians report the reality isn’t living up to the hype Artificial intelligence (AI) has been heavily touted as the next big thing in healthcare for nearly a decade. Much ink has been devoted to the belief that AI would revolutionize how doctors treat patients. That it would bring about a new age of point-of-care clinical decision support tools and clinical laboratory diagnostic tests. And it would enable remote telemedicine to...