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