For Population Health
From a flag on a data set to saving lives
Detect and prevent ADR in general population
15%-30% of hospitalization among the elderly (65+) are due to adverse Drug Events. Everybody knows that people with co-morbidity and a poly-pharmacy profile are at the highest risk of an ADR that leads to hospitalization. The problem is that among the age group of 65+, the average medication prescribed is 5. Mydimed ADR Predictor helps you find the people with the highest risk of reaching the ER within this high risk group.
Engagement, using your channels
Mydimed not only detects the risk for an ADR, we also indicate which Adverse Event is about to happen. With this knowledge, healthcare professionals can decide on optimal intervention path based on their knowledge of their patient. This may include dosage change, drug change or change in monitoring indication.
ADR Predictor for early detection of PADE's
Improve care, Reduce Adverse Events
mydimed ADR Predictor connects to the hospital's EMR system and provide real time risk analysis using predictive algorithms and machine learning. The ADR Predictor alerts for risk of an ADR, describes the predicted ADR, and let the medical team know that a change in medical indication is required.
Optimize Reimbursement. Avoid penalties.
Centers for Medicare & Medicaid does not pay for hospital acquired conditions. mydimed ADR Predictor covers all PADE's in the national action plan for adverse drug event prevention.