AI and machine learning algorithms are steadily evolving and maturing – and are by now embedded in a dizzying array of clinical, financial and operational technologies across the healthcare ecosystem. Advanced clinical decision support. Automation of EHR processes to alleviate clinician burnout. Predictive analytics for inpatient stays. Imaging. Supply chain management. Cyber threat detection. Consumer-facing chatbots. Those are just a few of the many machine learning use cases transforming care delivery on a daily basis.
There are still challenges and shortcomings, of course: biased algorithms that worsen health disparities and clinician mistrust of black box AI, to name just two. But machine learning applications are proliferating and improving, and this month we’ll explore the many ways they’re being put to work.