AI Platform to Assist Hospital Physicians in Lab Test Ordering

I have blogged extensively about the deployment of AI in healthcare (see, for example:CMS Offers $1M Reward for AI to Predict Unplanned Hospitalizations). I have learned that the simplest AI applications may sometimes have the largest beneficial effects (see:Medical Community Braces for Algorithm to Reduce Unnecessary Imaging Orders). That was my reaction when I read a recentDark Daily article (see:Florida Hospital Utilizes Machine Learning Artificial Intelligence Platform to Reduce Clinical Variation in Its Healthcare...). Below is an excerpt from it: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....AtFlagler Hospital....,a new tool is being used to address variability in clinical care. It is a machine learning platform called SymphonyAyasdiAI for Clinical Variation Management (AyasdiAI) from Silicon Valley-basedSymphonyAI Group.Flagler is using this system to develop its own clinical order set built from clinical data contained within the hospital ’s electronic health record (EHR) and financial systems....Clinical order sets are designed to be used as part of clinical decision support systems (CDSS) installed by hospitals for physicians to standardize care and support sound clinical decision making and patient safety. However, when doctors don ...
Source: Lab Soft News - Category: Laboratory Medicine Authors: Tags: AI Clinical Lab Industry News Clinical Lab Testing Diagnostics Electronic Health Record (EHR) Healthcare Information Technology Lab Processes and Procedures Medical Research Predictive Analytics Source Type: blogs