Practical Applications of AI in Healthcare

Reducing Administrative Burden in a Regional Hospital Network

# Overview

A regional hospital network partnered with Salunova to reduce administrative workload for clinical staff while improving operational efficiency — without disrupting existing care workflows.

# Challenge

Clinical teams were spending a growing portion of their time on administrative tasks such as referrals, documentation, and internal coordination. Systems were fragmented across departments, and leadership lacked visibility into operational bottlenecks. Key challenges included:

  • Manual handling of referrals and clinical documents
  • Limited insight into process performance
  • Increasing workload for nurses and physicians
  • Strong requirements around privacy and compliance

The organization wanted to explore AI-driven automation in a practical, low-risk way.

Een digitale wereldkaart met stippen en getallen

# Our approach

Salunova worked closely with clinical operations and IT teams to identify high-volume processes suitable for automation.

We implemented:

  • AI-assisted document classification for incoming referrals
  • Intelligent routing based on specialty and urgency
  • Automated extraction of key information from unstructured documents
  • A lightweight analytics layer for real-time operational insight

All solutions were designed to integrate with existing systems, with privacy and compliance embedded by design.

# Results

Within three months:

  • Administrative handling time reduced by ~30%
  • Faster referral turnaround
  • Noticeable reduction in manual work for care professionals
  • Improved visibility into operational flow

Most importantly, clinical staff were able to spend more time on patient care.