3 Ways AI Can Address Health Inequities

3 Ways AI Can Address Health Inequities

As a medical doctor and healthcare technologist with over a decade of experience, I’ve seen a common mistake among healthtech innovators: focusing solely on the disease to improve outcomes.While important, disease is just the tip of the iceberg. Beneath it lies a deeper, often overlooked factor: social determinants of health (SDoH). SDoH—such as income, education and housing—profoundly impact health outcomes.Yet, collecting and utilizing this data remains a challenge. This is where artificial intelligence (AI) can be a game changer. AI has the potential to analyze SDoH data, identify patterns and create targeted interventions, enabling a more holistic approach to healthcare.For the next wave of healthtech entrepreneurs, the key is clear: Look beyond the disease. By embracing SDoH and leveraging AI, we can build a future of proactive, equitable healthcare.

Medigy Insights

The World Health Organization (WHO) defines SDoH as “the non-medical factors that influence health outcomes.” Research shows that up to 80% of health outcomes are influenced by SDoH, while clinical care accounts for only 10%-20%. For example, individuals in low-income neighborhoods may face barriers such as limited access to healthcare facilities, poor housing conditions and food deserts, all of which contribute to poorer health outcomes.


Deploy this technology today


Next Article

Did you find this useful?

Medigy Innovation Network

Connecting innovation decision makers to authoritative information, institutions, people and insights.

Medigy Logo

The latest News, Insights & Events

Medigy accurately delivers healthcare and technology information, news and insight from around the world.

The best products, services & solutions

Medigy surfaces the world's best crowdsourced health tech offerings with social interactions and peer reviews.


© 2025 Netspective Foundation, Inc. All Rights Reserved.

Built on Mar 28, 2025 at 1:45pm