Artificial intelligence is rapidly transforming healthcare. Hospitals and health systems are investing heavily in AI-powered solutions to improve patient care, streamline operations, and reduce costs. However, healthcare leaders face a critical question: Should their organizations act as AI takers, AI shakers, or AI makers?
The answer is rarely simple. Most successful health systems will need a balanced approach that combines adoption, innovation, and collaboration. As AI technologies continue to evolve, healthcare organizations must determine where they fit within the AI ecosystem and how they can maximize value.
Understanding the AI Spectrum
Health systems generally fall into three categories when adopting artificial intelligence.
AI Takers: Adopting Existing Solutions
AI takers primarily purchase and implement AI technologies developed by external vendors. These organizations focus on leveraging proven tools rather than creating their own.
This approach offers several advantages. First, implementation is often faster. Second, costs remain lower than developing custom AI systems. Third, organizations can benefit from vendor expertise and continuous updates.
Many hospitals choose this path because they lack the resources or technical talent needed for in-house AI development. Consequently, they can still gain significant operational and clinical benefits without assuming substantial development risks.
AI Shakers: Influencing Innovation
AI shakers take a more active role. Rather than simply purchasing solutions, they collaborate closely with technology companies, academic institutions, and startups.
These organizations help shape products by participating in pilot programs, testing new technologies, and providing clinical feedback. As a result, they influence the direction of AI innovation while avoiding the full burden of development.
Furthermore, AI shakers often gain early access to cutting-edge technologies. This position enables them to stay ahead of competitors and contribute valuable healthcare expertise to emerging solutions.
AI Makers: Building Proprietary AI
AI makers develop their own artificial intelligence capabilities. They invest heavily in data science teams, technology infrastructure, and research initiatives.
Large health systems with extensive resources often pursue this strategy. By creating proprietary AI tools, they can address unique operational challenges and clinical needs. In addition, they maintain greater control over data governance, customization, and intellectual property.
However, becoming an AI maker requires substantial investment. Organizations must commit resources, attract specialized talent, and manage ongoing development efforts.
Why Health Systems Need Balance
Few healthcare organizations can thrive by operating exclusively in one category. Instead, leaders should evaluate where each approach delivers the most value.
For example, a health system may adopt commercially available AI solutions for administrative tasks. Simultaneously, it might partner with technology firms to shape innovative clinical applications. In select areas, the organization may also develop proprietary tools that address unique patient care needs.
Therefore, balance becomes the key to long-term success.
Benefits of Each AI Approach
Operational Efficiency
AI takers can quickly deploy solutions that automate routine tasks. These tools help reduce administrative burdens and improve workforce productivity.
Innovation Leadership
AI shakers contribute directly to healthcare innovation. Their involvement allows them to influence future technologies while gaining valuable implementation experience.
Competitive Differentiation
AI makers can create unique solutions that competitors cannot easily replicate. Consequently, they may achieve stronger clinical outcomes and operational advantages.
Challenges Healthcare Leaders Face
Although AI presents enormous opportunities, health systems must overcome several obstacles.
Data Governance
Healthcare organizations manage vast amounts of sensitive patient information. Therefore, strong governance frameworks remain essential.
Workforce Readiness
Successful AI adoption requires employee training and organizational alignment. Staff members must understand how AI supports their work rather than replacing it.
Financial Investment
Developing or implementing AI solutions can require significant resources. Leaders must carefully evaluate expected returns and long-term sustainability.
Regulatory Compliance
Healthcare remains one of the most regulated industries. As AI adoption grows, organizations must ensure compliance with evolving standards and regulations.
Building an Effective AI Strategy
Assess Organizational Capabilities
Healthcare leaders should begin by evaluating current technology infrastructure, workforce skills, and data maturity.
Identify High-Value Use Cases
Not every AI project delivers equal value. Organizations should focus on areas with measurable clinical, operational, or financial benefits.
Establish Strategic Partnerships
Collaborating with vendors, research institutions, and technology companies can accelerate innovation while reducing risk.
Create Governance Frameworks
Strong governance ensures responsible AI deployment. It also helps maintain patient trust and regulatory compliance.
The Future of AI in Healthcare
Artificial intelligence will continue to reshape healthcare delivery. Over time, the distinction between takers, shakers, and makers may become less rigid. Instead, successful organizations will adopt hybrid strategies that combine multiple approaches.
Moreover, health systems that remain flexible and adaptable will be better positioned to capitalize on future innovations. As AI capabilities expand, healthcare leaders must continuously evaluate how technology aligns with their organizational goals.
Conclusion
The future of healthcare AI is not about choosing between being a taker, shaker, or maker. Rather, it is about understanding when each role creates the greatest value. Health systems that strike the right balance will improve patient outcomes, enhance operational efficiency, and strengthen their competitive position.
As AI becomes increasingly integrated into healthcare, organizations that embrace a thoughtful and strategic approach will lead the next generation of healthcare transformation.
