Discrepancies often appear in the follow-up period—sometimes after a second opinion, a delayed complication, or a new imaging study. Residents and visitors in the Sevierville area commonly report patterns like:
- Symptoms that worsen faster than expected compared with what was explained before surgery
- Confusing chart entries that don’t match the operative timeline
- Imaging or report language that seems automated or inconsistent with clinical notes
- Care gaps—for example, a follow-up plan that wasn’t carried out promptly, leaving injuries to progress
AI can be involved in the background of healthcare delivery, including software that drafts summaries, organizes imaging workflows, or supports risk/decision pathways. Even when AI isn’t “the cause,” it can still become part of the story if the clinical team relied on outputs without appropriate verification and supervision.


