United StatesHealthcare and life sciences2020 – ongoingPiedmont Healthcare
AI-assisted clinical documentation review and prioritization
Piedmont's documentation specialists increased initial reviews from 10 to more than 12 daily after workflow changes
Problem
Piedmont's existing worklists made it difficult to identify the cases most likely to benefit from documentation review. Staff also spent time on unnecessary follow-up reviews.
Approach
Piedmont introduced advanced prioritization and Automatic Impact features in 3M 360 Encompass. The workflow included AI-suggested codes and queries. Staff training accompanied changes that assigned the highest-priority case and limited follow-up reviews to those needed.
Results
Takeaway
The productivity result followed software changes and staff training together. It did not isolate the contribution of AI suggestions.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Internal work and knowledge managementFinance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
3M described Piedmont's use of AI-assisted documentation review and automated case prioritization. It attributed higher daily review volumes to the combined workflow changes and education.
Full details are in the original sources.