Healthcare strategist develops AI governance frameworks to improve patient care in U.S.

The growing use of artificial intelligence (AI) across the United States healthcare system is creating new opportunities to improve patient care, but it is also exposing major challenges around oversight, safety and implementation. As hospitals and healthcare providers invest more in AI, many organisations continue to struggle with turning pilot projects into systems that can be used across their operations.

Healthcare strategist Kehinde Hassan is working to address that challenge by developing enterprise AI governance frameworks designed to support the safe and responsible adoption of AI in healthcare.

Industry estimates show that the global digital health market is expected to reach about $56 billion by the end of 2026. Despite rising investment, many healthcare organisations have found it difficult to move beyond experimental AI programmes because of concerns over governance, accountability and integration into existing clinical and operational processes.

Hassan’s work focuses on creating governance structures that help healthcare organisations deploy AI while maintaining oversight, managing risks and supporting clinical decision-making. His approach also seeks to reduce the operational bottlenecks that contribute to the estimated $265 billion in excess administrative costs recorded annually across the U.S. healthcare system.

One of the challenges his work addresses is the growing administrative burden on healthcare professionals. According to data from the American Medical Association (AMA), physicians in the United States work an average of 57.8 hours each week, with 20.3 hours spent on indirect patient care and administrative duties. That represents about 35 per cent of their working time.

By introducing governance models that include human oversight, bias monitoring and continuous performance assessment, Hassan aims to help healthcare providers integrate AI into everyday operations while ensuring systems remain accountable and aligned with patient care objectives.

Speaking during an interview, Hassan said, “The challenge is not the availability of AI, but the integrity of its implementation; because establishing a governed collaboration between clinical data and operational workflows, we ensure that technology serves as a force multiplier for patient access rather than a source of systemic risk.”

The growing importance of AI governance comes as investment in healthcare AI continues to rise. The U.S. healthcare AI market reached an estimated value of $39.3 billion in 2025, making it one of the world’s largest markets for healthcare technology. Similar growth is also taking place in Nigeria, where the digital health market is projected to reach $1.5 billion, equivalent to about ₦2 trillion, by the end of 2026.

Hassan said governance remains central to the long-term success of AI in healthcare.

“Governance is the primary catalyst for sustainable innovation,” he said. “When you resolve the operational friction that leads to clinician burnout, you are fundamentally returning time to the patient. The goal is to build a digital-first system that anticipates needs before they become crises, whether in the urban medical hubs of the U.S. or the expanding health networks of West Africa.”

Healthcare organisations are also reporting improvements in patient engagement through AI-enabled systems. Some AI assistants have reduced interaction abandonment rates by as much as 85 per cent, reflecting the growing role of AI in supporting patient communication and service delivery. Hassan’s governance models are designed to ensure these systems continue to operate with human oversight while meeting organisational and regulatory requirements.

His work also has implications for healthcare systems beyond the United States. Nigeria continues to face a shortage of healthcare professionals, with the doctor-to-patient ratio estimated at one doctor to 9,083 people. As the country expands the use of digital health technologies, governance frameworks are expected to play an important role in ensuring AI is deployed safely and effectively.

Hassan believes enterprise-wide standards will shape the future of healthcare delivery.

“We are witnessing a shift where AI reasoning is becoming embedded in the everyday fabric of medicine,” he said. “By standardising AI literacy and ethical oversight at the enterprise level, we ensure that the next generation of healthcare delivery is backed by the analytical rigor required for long-term sustainability.”