AI in Healthcare: Who Benefits?
Artificial intelligence (AI) is rapidly transforming healthcare, but not all AI models are created equal. Some are designed to optimize existing processes, while others aim to transform or even disrupt the current state of healthcare. The question of “who benefits” from an AI model is crucial in determining its utility and adoption potential.
Individuals
When assessing the impact of AI on individuals, the most commonly overlooked category is children and aging adults living in low-income communities and medical deserts. This segment of the population is particularly vulnerable to health disparities and has limited access to quality care. AI models that address the unique needs of these individuals can have a profound impact on their health and well-being.
Organizations
Self-insured employers are another often-overlooked stakeholder group when it comes to AI in healthcare. These employers cover a significant portion of the population and are under increasing pressure to control costs while maintaining productivity and employee health. AI models that help employers manage healthcare costs and improve employee health can provide substantial value.
Communities
AI can also be used to improve population health by addressing systemic issues such as health disparities and access to care. By analyzing large datasets, AI models can identify trends and patterns that inform the development of targeted interventions and policies. AI can also be used to personalize care at scale, ensuring that each individual receives the right care at the right time.
The AI Impact Matrix
To help understand the potential impact of AI in healthcare, we can map use cases to stakeholder categories, creating an “AI Impact Matrix.” This matrix organizes AI models based on their intended impact, from optimizing a pain point for an individual to disrupting the current state and personalizing solutions for communities.
Implications for Innovators and Adopters
The AI Impact Matrix can guide entrepreneurs and healthcare providers in developing and adopting AI solutions. Innovators should consider the disruptive potential of their solutions and develop strategies to overcome resistance to change. Adopters should evaluate AI solutions based on their intended impact and the resources required for integration.
The Human Element
Despite the remarkable capabilities of AI, it’s important to remember that AI is not a replacement for human expertise. AI excels in complex activities such as data analysis and pattern recognition, but it lacks uniquely human qualities like empathy, creativity, and problem-solving. The most effective AI models are those that keep humans in the loop and stay grounded in the problem they’re solving.
Conclusion
AI has the potential to revolutionize healthcare, but its success depends on understanding who benefits from different AI models and ensuring that these models are used responsibly and ethically. By considering the impact on individuals, organizations, and communities, we can ensure that AI is used to improve the health and well-being of all.