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Implementing a closed loop clinical decision support system for sustainable preoperative care.

NPJ digital medicine2025-01-04PubMed
Total: 76.0Innovation: 8Impact: 8Rigor: 7Citation: 8

Summary

A fully EHR-integrated closed-loop CDSS for preprocedural testing reduced chest X-rays by ~83%, ECGs by ~54%, blood typing by ~50%, and preop blood test panels by ~29% across 228,671 procedures, with €1.0M in savings and no increase in cancellations or adverse postoperative outcomes.

Key Findings

  • Chest X-ray orders decreased by ~83% after CDSS implementation (p<0.001).
  • ECG orders fell by ~54%, blood type testing by ~50%, and preop blood test panels by ~29%.
  • Estimated cost savings were €1,013,666 with no increase in same-day cancellations or postoperative adverse events.

Clinical Implications

Health systems can embed closed-loop CDSS within EHRs to automate appropriate test ordering, reduce unnecessary preop testing, and cut costs without compromising safety.

Why It Matters

Demonstrates scalable de-implementation of low-value preoperative testing using an automated, closed-loop CDSS with substantial cost savings and safety preservation.

Limitations

  • Quasi-experimental design susceptible to secular trends and unmeasured confounding.
  • Conducted in two teaching hospitals in one region, which may limit generalizability.

Future Directions

Multicentre deployments with randomized or stepped-wedge designs; assess patient-centred outcomes and sustainability metrics (e.g., carbon footprint) alongside cost and safety.

Study Information

Study Type
Cohort
Research Domain
Prevention
Evidence Level
III - Interrupted time series (quasi-experimental) observational evaluation.
Study Design
OTHER