Machine Learning for Clinical Management – efficiency and better care

We have created a platform to help making better management decisions in healthcare systems. Using data that healthcare organizations already have, we provide decision makers with views of the real need of their population, anticipate activity that has to be covered, and estimate availability and costs of the necessary resources. We cover all levels of healhcare systems: hospital departments, hospitals as a whole, primary care, territorial planning and even socio-sanitary care. For hospitals we have modules that anticipate influx to emergency departments, needs for beds (hospitalization) and surgical areas, and unprogrammed absenteeism among professinals. For all levels we provide a way to investigate variability within a pathology, to identify patient patterns with specific risks, needs, or personalized protocols. The platform is provided in SaaS mode; It feeds on routine/administrative data that all organizations have, and using Machine Learning algorithms creates predictive or descriptive models adapted to that organization (e.g. hospital). Unlike many AI-in-healthcare solutions, deployment is painless and quick, and the learning curve very low. There is a one-time setup fee and then a subscription fee payable monthly or yearly (whose amount depends on various factors, including organization size).