Optimizing Productivity and Accuracy Through Artificial Intelligence in Imaging
Variance in imaging and diagnostic procedure volumes, workforce shortage and resource capacity, increasing margin pressures, and declining reimbursements are some of the many challenges facing healthcare provider organizations. Applying artificial intelligence (AI) across the phases of imaging studies—thereby improving workflow and efficiency—is one way to make the providers’ jobs easier.
AI can support performance and workforce management when it comes to standardization and training, enabling more consistent diagnostic procedures by the same person, across personnel, and across the community over time. AI also has a role in optimizing equipment utilization, assessments of image quality, patient scheduling, and staff optimization.
- Imperatives Related to Imaging Informatics
- Examples Along the Study Pathway
- Considerations Related to AI
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