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4CPS-219 Beyond the expected: the enhanced detection of drug related problems, the most of a pharmaceutical decision support system
  1. A Potier1,
  2. M Ade2,
  3. A Dony1,
  4. A Huguet1,
  5. T Rosier1,
  6. E Divoux1,
  7. D Edith1
  1. 1Hospital Center Luneville, Pharmacy, Luneville, France
  2. 2Centre Psychothérapique De Nancy, Pharmacy, Laxou, France


Background and Importance The EAHP statement integrates pharmaceutical analysis into our practices mentioning that all prescriptions should be reviewed and validated as soon as possible by a pharmacist.

However this practice is highly variable. Reviewing all prescriptions as soon as possible by a pharmacist and detecting drug-related problems remains a challenge.

Pharmaceutical decision support systems (PDSS) are associated with the decrease of adverse drug events and the improvement of prescribing practices.

Our PDSS works on the patient’s data, modelled situations and Pharmaclass® (Keenturtle – F) in real time.

Aim and objectives This study aims to present pharmacists’ ability to detect drug-related problems (DRP) in usual care by using a PDSS.

Material and Methods An observational prospective study has been ongoing from November 2019 to June 2023 in two facilities (1600 beds). PDSS is applied in addition to standard care.

Up to a maximum of 201 modelled situations were integrated in the PDSS.

A DRP resolution strategy structure the pharmaceutical analysis of DRPs. It is the support of the human supervision of the PDSS.

Data collected are the number alerts analysed, DRPs, PIs and accepted PIs.

Data analysis is performed by using Pandas library in Python.

Results The data are collected during 663 non-consecutive days.

On 14331 alerts 3157 were technical false positives (22.0%) and 3821 situations do not correspond to a DRP (26.7%).

DRP detection is performed for 7,353 situations by the pharmacists using the PDSS (51.3% of analysed alerts).

5,062 DRP (68.9% of all DRP detected) required a pharmacist’s intervention that analyses the alert.

For 2648 of them a pharmacist had missed the identification of the DRP during his analysis.

In addition, 838 PIs were transmitted for DRPs identified following the overall analysis of the situation. These last two comments constitute the specific added value of using a PDSS.

Another 927 DRPs (12.6% of all DRP detected) had already benefited from a PI by another pharmacist.

For 1364 DRPs (18.5% of all DRP detected) the physician changed the drug management just before analysis of the alert.

Conclusion and Relevance A PDSS is both efficient and offers added value in routine care to secure the patient‘s medication management.

Conflict of Interest No conflict of interest.

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