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Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
Published on: January 16, 2019
[How can we optimize medical orderings in intensive care unit (ICU)?]
J-J Lehot1, C Heuclin, J Neidecker
1Service d'anesthésie-réanimation, hôpital Louis-Pradel, groupement hospitalier Est, hospices civils de Lyon, 28 avenue du Doyen-Lépine, Bron, France. jean-jacques.lehot@chu-lyon.fr
Intensivists optimized medical ordering, reducing costs by €777,000 and potentially avoidable deaths by 34%. This multidisciplinary approach in the ICU proved effective, though physician incentives may be needed for sustained results.
Area of Science:
- Critical Care Medicine
- Health Economics
- Medical Informatics
Context:
- Intensive Care Units (ICUs) face challenges in optimizing resource utilization.
- Medical ordering practices significantly impact patient outcomes and healthcare costs.
- A monocentric evaluation was conducted to assess a medical economic procedure.
Purpose:
- To evaluate intensivists' acceptance of optimizing orders for biological samplings, X-rays, and drugs.
- To assess the impact of optimized medical ordering on patient outcomes.
- To determine the economic consequences of optimizing medical orders in an ICU setting.
Summary:
- A monocentric study involved regular meetings with physicians and pharmacists to review and adjust medical ordering practices.
- Discouraged were systematic samplings, bedside X-rays, and unjustified expensive drugs; encouraged were target samplings and lung ultrasonography.
- Training for new residents on the optimization program was implemented, alongside monthly morbidity-mortality meetings to track consequences.
Impact:
- Achieved a 3.4% increase in ICU production while decreasing potentially avoidable deaths by 34%.
- Resulted in annual cost savings of approximately €777,000 between 2006 and 2008.
- Demonstrated significant reductions in orders for biology (30%), bedside X-rays (10%), CT scans (16%), and target drugs (35%).
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