CASE STUDY
/Healthcare
EUR 17.4M
in annual value identified
EUR 3.4M
waste avoided by flagging 6 negative-ROI projects
7.6x
ROI potential from prioritised initiatives
70%
time reduction in administrative tasks
success probability compared to ~30% for traditional methods
At a leading European hospital, one of the region’s premier healthcare institutions, doctors and residents voiced a common frustration: too much time spent behind screens, too little with patients.
Physicians reported 66% of their working hours consumed by documentation, with discharge reports alone taking up to 40 minutes per case. Insurance correspondence, repetitive referral letters, and duplicative reports further compounded the burden.
Leadership recognised the stakes: inefficient administration meant lost revenue, higher costs, and staff burnout. Traditional prioritisation methods — manual consulting frameworks costing EUR 200–400K and taking months — were too slow and too subjective for such urgent needs.
The hospital became the first institution to deploy MountainsAI, an AI-native prioritisation system designed for healthcare decision-making.
MountainsAI’s methodology blended:
Clinical workflow modelling to capture where physician time was truly being lost.
Healthcare-optimised scoring that weighted clinical urgency, technical readiness, and financial impact.
Built-in European regulatory compliance validation, ensuring regulatory safety.
Cross-industry benchmarking, drawing lessons from sectors like finance, automotive, and government.
A 24-day structured process replacing 12–16 weeks of consultant-led analysis: stakeholder surveys, risk-adjusted ROI modelling, implementation dependency mapping, and scenario optimisation.
THE INSIGHTS
Priorities ranked by Net Prioritisation Score (NPS) — a healthcare-optimised measure blending clinical impact, technical readiness, operational feasibility, and strategic urgency:
Administrative Process Automation (NPS 81.0): Automating insurance letters and repetitive physician emails, directly reducing bureaucracy.
Intelligent Discharge System (NPS 68.8): Cutting report generation time from 40 minutes to 30 seconds, addressing resident overtime and burnout.
Predictive Documentation Assistant (NPS 63.6): Speech-to-text and automated records, enabling more patients per doctor and stronger revenue protection.
Clinical Workflow Optimiser (NPS 61.8): Freeing up physician time for patient-facing care, improving both morale and treatment quality.
CONCLUSION
For this leading European hospital, MountainsAI was more than a prioritisation tool — it showed the way to cut through bureaucracy, align AI initiatives with real clinical needs, and ensure investments deliver value. Most importantly, it guided the hospital toward shifting time and energy back to what matters most: treating patients, not paperwork.
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