Šeškinės Poliklinika

Šeškinės Poliklinika processes over 2,700 chest X-rays monthly and faced increasing diagnostic demand with limited time and resources. Radiologists needed support to maintain consistent diagnostic quality across a high volume of routine healthy-patient scans, while ensuring subtle findings were not missed.

The clinic implemented Oxipit CXR Suite over four years, integrating two AI tools directly into the PACS: a real-time quality assurance module that flags discrepancies between AI findings and radiologist reports, and ChestLink, an autonomous reporting tool that automatically clears normal occupational health chest X-rays without requiring radiologist review.

AI now autonomously reports approximately 80% of occupational (prophylactic) chest X-rays, eliminating the routine review bottleneck and allowing examining physicians to proceed immediately. Referring physicians gain real-time AI impressions in PACS, accelerating triage during high-volume periods like flu season. The QA system provides a safety net with rare but clinically valuable discrepancy alerts.

• Seamless PACS integration was the critical adoption driver — resistance faded once AI became part of the native workflow rather than a separate step.
• A collaborative, non-punitive approach to AI-flagged discrepancies (reviewing together rather than assigning blame) sustains radiologist trust and long-term use.
• Occupational health scans (high-volume, low-risk, well-defined normal criteria) are an effective entry point for autonomous AI reporting before expanding to more complex modalities.