Evidence map›Paper›PMID 35258469›Full record

SynthesisJournal of medical Internet research2022

Standards, Processes, and Tools Used to Evaluate the Quality of Health Information Systems: Systematic Literature Review.

René Noël, Carla Taramasco, Gastón Márquez

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

3 authors.

René Noël *Escuela de Ingeniería Informática, Universidad de Valparaíso, Valparaíso, Chile.ORCID 0000-0002-3652-4645
Carla Taramasco *Escuela de Ingeniería Informática, Universidad de Valparaíso, Valparaíso, Chile.ORCID 0000-0001-8318-4201
Gastón Márquez *Departamento de Electrónica e Informática, Universidad Técnica Federico Santa María, Concepción, Chile.ORCID 0000-0003-0167-5969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvaluating health information system (HIS) quality is strategically advantageous for improving the quality of patient care. Nevertheless, few systematic studies have reported what methods, such as standards, processes, and tools, were proposed to evaluate HIS quality.

objectiveThis study aimed to identify and discuss the existing literature that describes standards, processes, and tools used to evaluate HIS quality.

methodsWe conducted a systematic literature review using review guidelines focused on software and systems. We examined seven electronic databases-Scopus, ACM (Association for Computing Machinery), ScienceDirect, Google Scholar, IEEE Xplore, Web of Science, and PubMed-to search for and select primary studies.

resultsOut of 782 papers, we identified 17 (2.2%) primary studies. We found that most of the primary studies addressed quality evaluation from a management perspective. On the other hand, there was little explicit and pragmatic evidence on the processes and tools that allowed for the evaluation of HIS quality.

conclusionsTo promote quality evaluation of HISs, it is necessary to define mechanisms and methods that operationalize the standards in HISs. Additionally, it is necessary to create metrics that measure the quality of the most critical components and processes of HISs.

Indexed as

Health Information SystemsHumansPublicationshealth information systemsmetricsprocessesqualitystandardssystematic literature review

Identifiers

PMID35258469
PMCPMC8941431

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.