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Other industries have tackled scheduling problems in sophisticated ways, it is time that the health care industry follows suit – increasing patient access, building a reliable schedule for clinicians, and improving productivity.
Machine Learning is a very effective tool to predict no-shows, but then you need to put the operational processes and procedures in place to take advantage of this new insight. Learn how seasoned health care executives are modifying their operations to take advantage of this new technology. Presenters will take you through the steps of Machine Learning and explain how to integrate it into your solution set.
Health Centers have seen a boom of available electronic patient engagement tools promising everything from decreasing no shows to improving patient self-registration and screening…
Childhood immunizations is a UDS measure on which is notoriously difficult to improve. The change in the age cut-off for the measure from 3 to 2 years along with persistent cultural and social factors surrounding vaccinations has made this measure a challenge for community health centers…
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