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2021 Brings AI, Social Determinants Of Health Into Focus

As we enter the New Year, there will be a push by the healthcare industry to use artificial intelligence and the social determinants of health data in order to improve clinical decision-makingnnFollowing a booming, milestone year, in 2021, many were ready for a fresh start. Some things, in healthcare, however, will remain the same: specifically, the importance of artificial intelligence and the social determinants of health datannDuring the entire pandemic, organizations used AI and data analytics tools to track the spread of disease and assess risk to patients. A crisis spurred academic institutions, health systems, and providers to develop and improve their AI and machine learning capabilities, setting the stage for even more advanced technologies in 2021.nnThe payers, pharmacies, and pharmaceutical companies are beginning to join providers in recognizing that social determinants of health (SDOH) have a major impact on patient adherence and clinical outcomes. At this time, health care organizations are faced with the challenge of finding ways to analyze and use this data to help patients.n

Let’s Look In-Depth Below

nResearchers so far in the New Year have used AI to predict the likelihood of prostate cancer recurrence, assess tumor genetics, and analyze patient brain scans. nnAs the year progresses, the industry is likely to use data analysis tools to improve day-to-day operations, as well as visibility, to keep up with the demand for virtual care.nnIn 2021, social determinants of health data will also play an important role in the healthcare industry. Even though this information tends to be difficult to access and share, COVID-19 has made social determinants data a critical asset for organizations seeking to target interventions and stay ahead of poor outcomes.n

The Impact Of Social Determinants of Health 

nMost cases, social determinants of health are the conditions where patients live, learn, work and play. Moreover key elements of social determinants of health include employment, education, crime and imprisonment, healthcare access, food insecurity and pollution. nnThe data sets of social determinants of health are large and complex which normally includes the census data, ICD-10 Z codes and consumer behavior data.nnLooking at and predicting which social determinants make patients most likely to be at risk as a result, it can help health care organizations intervene effectively to improve outcomes for individual patients.nnIn 2021, a trend will continue to rise between healthcare systems and community organizations. Their collaborations became more widespread day by day.nnMoreover, there are lots of social determinants of health that will have a serious impact on a patient’s wellness. Let’s take an example;n


nHaving transportation has an effect on a patient’s well-being because it directly affects whether or not the patient can access his or her health care. At times when patients have transportation barriers, they are less likely to attend a wellness visit, a doctor’s appointment for chronic conditions, or follow-up care.n


nIncome is a widely accepted social determinant of health because it has a dominant influence on several other social determinants of health. As, income can impact n


  • Educational attainment 
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  • Healthcare affordability, payer status
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  • Housing status 
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  • Access to nutritious food
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nAnd numerous other domains. However, it is challenging for patients to achieve wellness because of facing limitations in social determinants of health. n

How AI Delivers Value From Social Determinants of Health Data?

nIt is possible for the AI to unlock value in SDOH data. This can identify patients who are struggling with SDOH-related health problems. The AI can then adapt targeted measures to help these patients better manage their health by making the most efficient use of resources in the process.nnIn a recent study published in the American Journal of Managed care have found that AI can perfectly predicted inpatient and emergency department use using only publicly available SDOH data such as sex, age, race, and address. In addition, this study showed that local air quality and income were more important predictors of health than age, gender, or ethnicity.n

Difficult To Access SDOH Data?

nHaving access to SDOH data isn’t easy – you also need a team that understands the unique complexity of healthcare data.nnAt MED-MILES LLC, our primary goal is to use artificial intelligence to drive positive health outcomes because our programs take care gaps, compliance and quality measures into account with payers. nnSo don’t be left behind just give us a call at +1 888-598-9181

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