Quality patient data is crucial for clinicians to identify populations needing care and target interventions, according to Brandi Meyers, VP of Revenue Operations at healthcare analytics firm MDClone. High-quality data allows for population health initiatives, prevention, and treatment plans. However, Meyers highlighted the challenge of data fragmentation and regulatory constraints in the US and emphasised the importance of efficient analytics and robust data governance. She also stressed regular communication between health practitioners and IT departments to ensure shared goals.
The True Cost of Focusing on Cost Instead of Cost-Effectiveness
When payors consider only the cost of the medication and not the cost and risk to the patient, doctor, and healthcare system, the irony is
