Which question can a data analytics project answer using predictive analytics in a healthcare company?

Predictive analytics focuses on forecasting future outcomes based on historical data, carefully analyzing patterns and trends to make informed predictions. The question about which treatments are most likely to result in lower readmission in the future aligns perfectly with the goal of predictive analytics. By utilizing past data on treatments and corresponding readmission rates, a healthcare company can identify the effectiveness of certain interventions and predict which treatments will minimize the chances of patients being readmitted.

This approach allows organizations to make proactive decisions regarding patient care, ultimately enhancing the quality of care and potentially reducing healthcare costs. The emphasis on future implications—specifically, anticipating outcomes based on existing data—highlights the core function of predictive analytics in the healthcare sector.