This quality improvement project implemented an AI tool to identify wounds documented as improving but exhibiting deteriorating characteristics. The AI flagged these discrepancies to branch managers for review.
- 52% of the flagged cases revealed that clinicians agreed with the AI’s assessment of deterioration.
- 33% of alerts highlighted documentation issues needing improvement.
- 85.7% of the clinicians surveyed agreed that using the AI model escalation reports enhanced the efficiency of patient care management and improved the quality of care provided to large patient populations within the organization.
The study concludes that this AI feature named HealingIndex™, can significantly enhance wound care management by detecting deterioration and improving documentation quality, leading to better care coordination and outcomes.
