Evidence map›Paper›PMID 33535251›Full record

ArticleApplied clinical informatics2021

Development and Evaluation of an Intravenous Infusion Sequence Annotation System.

Ji Qiu, Tingting Deng, Zhuo Wang, Zhangwei Yang, Ting Liu, Yunjie Liu, Rui Li, Fu Dai

Abstract readEvaluation Study
In one paragraph

Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

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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

8 authors.

Ji QiuDepartment of Pharmacy, Hefei Binhu Hospital, Hefei, Anhui, China.
Tingting DengSichuan Kelun Pharmaceutical Co., Ltd, Chengdu, Sichuan, China.
Zhuo WangDepartment of Pharmacy, Shanghai Changhai Hospital, Shanghai, China.
Zhangwei YangInformation Section, Shanghai Fourth People's Hospital, Shanghai, China.
Ting LiuDepartment of Pharmacy, Hefei Binhu Hospital, Hefei, Anhui, China.
Yunjie LiuDepartment of Pharmacy, Hefei Binhu Hospital, Hefei, Anhui, China.
Rui LiDepartment of Pharmacy, Hefei Binhu Hospital, Hefei, Anhui, China.
Fu DaiHefei Binhu Hospital, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe sequence of intravenous infusions may impact the efficacy, safety, and cost of intravenous medications. The study describes and assesses a computerized clinical decision support annotation system capable of analyzing the sequence of intravenous infusions.

methodsAll intravenous medications on the hospital formulary were analyzed based on factors that impact intravenous infusion sequence. Eight pharmacy infusion knowledge databases were constructed based on Hospital Infusion Standards. These databases were incorporated into the computerized sequence annotation module within the electronic health record system. The annotation process was changed from pharmacists' manual annotation (phase 1) to computer-aided pharmacist manual annotation (phase 2) to automated computer annotation (phase 3).

resultsComparing phase 2 to phase 1, there were significant differences in sequence annotation with regards to the percentage of hospital wards annotated (100% vs. 4.65%, chi-square  = 180.95,

conclusionA computerized infusion annotation system is efficient in sequence annotation and significant savings in tubing flushes can be achieved as a result.

Indexed as

Infusions, IntravenousHumansPharmacists

Identifiers

PMID33535251
PMCPMC7857956

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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.