PCA is a patient-controlled analgesia infusion pump, which is used to infuse the medicine into the patients after surgery. It contains a syringe with pain medicine to infuse that is prescribed by the physician. The drugs used for pain control are high-alert medicines, since overmedication may cause death to the patients. These types of unbearable events may happen due to medical errors, prescription errors, adverse events (AEs), etc. Hence, it requires a precautionary attention or continuous monitoring for PCA pump infusion patients. However, always physicians or nurses may not monitor a patient continuously. To provide safety to the patient, the PCA pump needs a smart care process to alert the physician. This study represents the survey on PCA pump errors, AEs, and solutions for it to avoid them. The solution will automatically alert the infusion-related situation of the patients, those are taking the intravenous drug infusion at different procedure rooms in the hospitals. Moreover, it increases the safety to infusion pump with advances of decision-making in health, patient monitoring, alert notification to nursing, and productivity. This quality care can be achieved by integrating the PCA pump with other intelligent systems.
Model Predictive Control of Drug Infusion System for Mean Arterial Pressure Regulation of Critical Care Patients
