Operationalizing Prediction Situation
As healthcare organizations continue to implement new and advanced predictive analytics throughout their systems, identifying potential at-risk patients - sepsis patients, or patients with high potential for readmission, for example - becomes standard procedure; operationalizing the data these analytic tools discover now becomes the focus.
Prediction is a substantial advancement in healthcare operations. However, predicting patient status by itself is not impactful, nor worthwhile, without an associated operational protocol that intervenes based on that prediction. Knowing you may have ten patients at risk for sepsis is a huge leap forward, now how do I ensure these patients remain safe and healthy? Someone must do something, in the appropriate order, in a prescribed time-frame. Is this being done?
