Social determinants of health (SDoH) are conditions in the environments in which people are born, live, learn, work, play, and age that impacts a wide range of health, functioning, and quality of life trajectories. Individual and community behaviors can influence health costs and outcomes regardless of being outside the control of the health system. Understanding social determinants of health is imperative for strengthening health and minimizing longstanding disparities in healthcare. More specifically, focusing on the health care system concerns of health coverage, quality of care, and medical bills is where Artificial Intelligence (AI) can step in. Focusing on the use of AI to model and understand social determinants of health will accelerate us towards a value-based care model while improving and maintaining health instead of treating illness.
Within minutes of President Obama signing the Affordable Care Act into law in 2010, lawsuits were filed challenging its constitutionality. Over the next six years, dozens of cases were filed challenging the ACA or Obama administration regulations implementing it. Although most of these cases were dismissed, four made it to the Supreme Court, including one that dramatically changed the scope of the ACA’s coverage of the uninsured by making the Medicaid expansions optional with the states. Many challenges were brought by Republican attorneys general, who championed the battle against the signature legislative triumph of a Democratic administration.