In Morgantown, many patients travel between home, local providers, and larger regional systems for specialty care. That can mean your chart includes multiple feeds of information—operative documentation, anesthesia records, radiology interpretations, discharge summaries, and follow-up notes—sometimes across different software platforms.
When AI-assisted documentation, automated summaries, or decision-support tools were used, the risk is not only a bad outcome—it’s a messy paper trail. You may see:
- generated or machine-assisted clinical notes that don’t match your reported symptoms
- imaging interpretation language that appears “standardized” but doesn’t reflect the timeline of worsening
- inconsistencies between what the team documented and what later imaging or exams show
Our job is to look past the jargon and determine whether the care met the standard expected in West Virginia hospitals and surgical settings—and whether any AI-related workflow contributed to harm.


