Читать книгу Using Predictive Analytics to Improve Healthcare Outcomes - Группа авторов - Страница 34

These steps have been used by this author repeatedly to save millions of dollars related to healthcare outcomes such as reduction of patient falls, reducing central line associated blood stream infections, and decreasing length of stay. With the advancement of mathematics and technology, the widespread use of predictive modeling for proactive management of outcomes in healthcare environments is happening now and will only increase. However, the biggest caution this author has is to not let machines do the interpretation and validation of the data that must necessarily be done by the people who are actually carrying out the work. Big data and machine learning can now quickly scan large datasets for patterns in the data, but it is clear to this author that the data must always be examined by a trained analyst and interpreted and validated by the people closest to the work.