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Healthcare inequity is a pervasive issue plaguing our society, driving a divide in access and quality of care that negatively impacts patients. The reality is that many people cannot receive quality medical care due to factors such as type of insurance, (in)ability to pay, and location. These factors are identified as social determinants of health, or SDoH.
While SDoH can play a significant role in limiting patient access to high-quality healthcare, one solution may lie in utilizing data and technology to bridge this gap. From suggesting appointment times based on the patient’s address to monitoring digital health data to identify interventions, intelligent and AI-driven automation can help streamline essential complex processes that lead to the best care for patients.