1. Enhancing PIH Prediction Accuracy
When it comes to predicting pregnancy-induced hypertension (PIH), we can consider the follwing. First, by monitoring antihypertensive meds and vasopressors real-time dosages during surgery, we can capture crucial fluctuations. Second is the data related to fluid administration and blood loss during the operation. These variables play a role in blood pressure dynamics, so including them could be beneficial to our model.

2. Future Research Directions
We should test our model on diverse patient groups—people with varying surgical risks and different health conditions since we want this thing to work well for everyone. Integrating our predictive model into clinical decision support systems will help doctors getting real-time alerts during anesthesia induction, helping them manage PIH proactively. And finally, running some randomized controlled trials can find out if our model can really make a difference in reducing PIH cases and improving patient outcomes.