Evidence map›Paper›PMID 33936487›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2020

Easy Medication Reconciliation at Hospital Admission: The EzMedRec Decision Support System.

Brigitte Seroussi, Mourad B Ghomari, Gilles Guezennec, Florence Federspiel, Isabelle Debrix, Jacques Bouaud

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 76% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Epidemiology of Medication Errors in Indian Hospital Settings: A Systematic Literature Review.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution.

Brigitte SeroussiSorbonne Universite, Inserm, Universite Sorbonne Paris Nord, LIMICS UMR_S 1142, Paris, France.
Mourad B GhomariSorbonne Universite, Inserm, Universite Sorbonne Paris Nord, LIMICS UMR_S 1142, Paris, France.
Gilles GuezennecSorbonne Universite, Inserm, Universite Sorbonne Paris Nord, LIMICS UMR_S 1142, Paris, France.
Florence FederspielAssistance Publique-Hopitaux de Paris, Hopital Tenon, Paris, France.
Isabelle DebrixAssistance Publique-Hopitaux de Paris, Hopital Tenon, Paris, France.
Jacques BouaudAssistance Publique-Hopitaux de Paris, DRCI, Paris, France.
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication reconciliation (MR) aims at preventing medication errors at care transitions. It is a complex, time-consuming, cognitively demanding pharmacological task. We have developed a decision support system, EzMedRec, to assist retroactive MR at hospital admission. EzMedRec compares the best possible medication history (BPMH), i.e., all medications taken by the patient before hospitalization, to the list of admission medication orders (AMO). The process includes (i) the decomposition of BPMH and AMO drugs into their active ingredients (AIs), (ii) the detection of medication discontinuations and additions, and (iii) the identification of modified medication orders. The ATC classification is used to semantically enrich MR by comparing discontinued AIs and added AIs and suggesting a potential intentional drug substitution serving the same therapeutic objective. EzMedRec has been evaluated on a sample of 52 actual MRs involving 822 medication order lines, 406 in BPMHs, and 416 in AMOs with a global accuracy of 98,3%.

Indexed as

Drug PrescriptionsGuidelines as TopicMedication ReconciliationPatient AdmissionAlgorithmsHospitalizationHospitalsHumansMedication ErrorsPatient TransferProspective Studies

Identifiers

PMID33936487
PMCPMC8075547
OpenAlexW3159248681

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.