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The healthcare industry is at a critical inflection point and the promise of value-based care is at risk due to operational complexity and clinician burnout. AI offers a potential lifeline to streamline processes and restore focus on patient care. However, widespread adoption is stalling. Concerns around trust, transparency, and usability are slowing progress. This isn’t just a technology gap, but a leadership and trust gap.
AI has become one of the healthcare industry’s defining disruptors transforming diagnostics, documentation, and decision-making at every level of care. Yet, despite near-universal recognition of its promise, implementation gaps threaten VBC’s future. In fact, only 40% of payers and 38% of providers are fully committed to adoption.
Why? Trust hasn’t caught up with technology.
In a highly regulated industry built on sensitive patient data, skepticism about AI’s reliability, bias, and transparency runs deep. Without clear leadership to prioritize explainability, accountability, and hands-on training to build confidence among clinicians, adoption stalls. This shows us that progress in adopting AI in healthcare depends less on algorithms and more on human-centered trust and alignment.