Evidence map›Paper›PMID 31580318›Full record

ReviewActa bio-medica : Atenei Parmensis2019

Nursing Summary: designing a nursing section in the Electronic Health Record.

Sara Dionisi, Emanuele Di Simone, Gregorio Marco Alicastro, Sara Angelini, Noemi Giannetta, Laura Iacorossi, Marco Di Muzio

Abstract readReview
In one paragraph

Review in Acta bio-medica : Atenei Parmensis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. 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

7 authors.

Sara DionisiDepartment of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy. srdionisi@gmail.com.
Emanuele Di Simone
Gregorio Marco Alicastro
Sara Angelini
Noemi Giannetta
Laura Iacorossi
Marco Di Muzio

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of new information technologies in healthcare led to major changes in the field of tools for managing and evaluating the assistance. In Italy, an example of applying new technologies to the healthcare context is the realization of Fascicolo Sanitario Elettronico (FSE). The FSE is a tool that collects online data and health and socio-health information that make up the patient's clinical history. The aim of this review is to analyze which components are needed to organize and structure the information and data within the "Nursing Summary". Literature searches were conducted using the following available online Databases: CINAHL, PubMed and Cochrane Library. The searches were conducted by analyzing publications from the last five years (2012-2016). The process of selection of articles led to the choice of 14 research studies. Additionally, national guidelines were analyzed, concerning official documents and technical specifications for the development of projects of FSE. The analysis of the scientific literature showed that nursing data in the EHR can be used to develop some Clinical Decision Support Systems. Relevant were also used to clarify how the nursing data could be structured in the "Nursing Summary". The  research findings have identified which could be the main components of a possible nursing section to integrate the FSE. This project is proposed as a preliminary study that needs further development.

Indexed as

Electronic Health RecordsNursing InformaticsDecision Support Systems, ClinicalDelivery of Health Care, IntegratedHumans

Identifiers

PMID31580318
PMCPMC7233749

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.