Andrew M. Ibrahim MD, MSc, FACS
General Surgeon at University of Michigan, Chief Clinical Officer at Viz.ai
Rural communities face persistent gaps in healthcare access, quality, and outcomes that leave patients underserved and health indicators worse than in urban areas. Now, AI can directly address these rural care barriers.
Oklahoma’s 59 rural counties cover nearly 88% of the state and are home to approximately 1.58 million residents. To strengthen care delivery across these communities, the Oklahoma Rural Health Transformation Program plans to establish multicounty regional collaboratives and a clinically integrated network that enhance coordination and data sharing across hospitals, clinics, EMS, and community organizations.
This is a complex challenge. Rural communities are geographically dispersed, and many residents must travel an average of 81 miles to reach a trauma center. Workforce shortages and limited specialty access further strain care delivery.
Rural Oklahoma residents also face a high burden of chronic disease, including obesity, diabetes, and heart disease. Through technology-enabled workflows and a statewide telestroke network, AI can help connect rural providers with specialists in real time, enabling faster diagnosis and more timely treatment when minutes matter most.
Viz.ai’s platform provides AI-powered disease detection and intelligent care coordination, helping rural providers manage complex and time-sensitive conditions more effectively, without adding workflow burden.
Specialists can review 3D imaging alongside an AI-generated patient summary built from ambient listening and EHR data, and make referrals directly within Viz.ai’s HIPAA-compliant mobile app. This accelerates diagnosis and streamlines coordination across care teams.
Viz.ai helps rural Oklahoma health systems:
Together, these capabilities help deliver faster care, better access, and more sustainable rural healthcare across Oklahoma.
1
Early detection and triage at the point of care
AI can rapidly analyze imaging and clinical data to flag suspected disease and critical findings in minutes, even in hospitals without on-site specialty coverage. This accelerates diagnosis and enables faster treatment or transfer decisions.
2
Decision support for rural care teams
Rural emergency departments are often staffed by generalists managing high-acuity cases. AI tools support guideline-based decision-making by surfacing and sharing actionable insights in real time, mitigating workforce shortages without replacing clinical judgment.
3
Care coordination across fragmented systems
Critical and acute care frequently require coordination across EMS, emergency departments, imaging, specialists, and receiving centers. AI platforms like Viz.ai unify these workflows, ensuring the right teams are alerted and aligned quickly—critical in rural settings.
AI software for stroke is recognized in American Heart Association (AHA) guidelines as a tool to support early detection, triage, and clinical decision-making in acute stroke care.
This matters for rural health policy. The inclusion of AI in AHA guidelines signals that these technologies are clinically validated, evidence-based, and appropriate for broad adoption, not pilot-only experimentation.
In rural settings, platforms like Viz.ai can enable faster identification of suspected disease, support earlier activation of care and transfer pathways, reduce time to treatment, and improve consistency of care across low-volume and resource-constrained hospitals.
Hear from Dr. Andrew Ibrahim, Chief Clinical Officer at Viz.ai, in a congressional hearing on AI in healthcare, on how AI-powered care coordination specifically helps rural communities and patients.