1. Features could further improve the accuracy of predicting PIH:
Based on my experiences to see CTM Tracking module that is a part of RTSM Team in clinical trials sector, I would suggest the Drug Administration/Monitoring Data feature to monitor or capture records of anesthesia drugs and their dosages, especially real-time changes in drug administration, this may help to improve the model’s ability to predict hypotension e.g. timing and dosage type/amount/ method feature of vasopressors or other cardiovascular drugs administered during surgery – this can help to provide real-time decision making by predicting the interventions.
2. Enhance the predictive model’s applicability across various surgical procedures:
To enhance the model’s applicability, the research directions could be pursued real-time monitoring to provide continuous risk assessment and decision support during surgery. For example If the model predicts a high risk of PIH, the system should be triggered an alert for the surgical and anesthetic team – alerts can be visual as flashing lights on the monitor or alarm sounds.
Additionally, the system could be conducted as randomized controlled trials to evaluate the effectiveness of the predictive model in reducing the incidence of PIH and improving patient outcomes when used in clinical practice.