case studies
Treatment Planning
Generate detailed treatment plans automatically using data from patient notes
The Challenge:
Speed Youth Care Process
Speed Youth Care Process
Youth care professionals faced delays in creating accurate treatment plans for vulnerable children. Notes from multiple sessions, assessments, and teams were scattered across systems, making it difficult to compile a full picture of each case.
Key issues included:
- Treatment plans took an average of 30 min to draft manually.
- Inconsistent reporting across healthcare providers.
- High risk of overlooking important case history or behavioral trends.
- Slow response time for initiating support plans and interventions.
Transformative Results:
Faster Planning, Better Care
Faster Planning, Better Care
70%
faster planning
2x
more consistent
33%
shorter consultation time
By implementing the AI-assisted treatment planning tool, youth care teams could automatically compile meeting notes, case updates, and assessments into cohesive treatment recommendation.
The platform keeps professionals in the loop while dramatically reducing manual effort.
With centralized data and AI-driven insights, treatment plans are generated faster and more accurately, supporting better outcomes and timely care for children in need.
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