Evidence map›Paper›PMID 34238281›Full record

ArticleBMC medical informatics and decision making2021

Designing a reference architecture for health information systems.

Joep Tummers, Hilde Tobi, Cagatay Catal, Bedir Tekinerdogan

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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

4 authors.

Joep TummersInformation technology, Wageningen University & Research, Hollandseweg 1, 6701KN, Wageningen, The Netherlands. joep.tummers@wur.nl.
Hilde TobiBiometris, Wageningen University & Research, Droevendaalsesteeg 1, 6706OB, Wageningen, The Netherlands.
Cagatay CatalDepartment of Computer Science and Engineering, Qatar University, 2713, Doha, Qatar.
Bedir TekinerdoganInformation technology, Wageningen University & Research, Hollandseweg 1, 6701KN, Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare relies on health information systems (HISs) to support the care and receive reimbursement for the care provided. Healthcare providers experience many problems with their HISs due to improper architecture design. To support the design of a proper HIS architecture, a reference architecture (RA) can be used that meets the various stakeholder concerns of HISs. Therefore, the objective of this study is to develop and analyze an RA following well-established architecture design methods.

methodsDomain analysis was performed to scope and model the domain of HISs. For the architecture design, we applied the views and beyond approach and designed the RA's views based on the stakeholders and features from the domain analysis. We evaluated the RA with a case study.

resultsWe derived the following four architecture views for HISs: The context diagram, decomposition view, layered view, and deployment view. Each view shows the architecture of the HIS from a different angle, suitable for various stakeholders. Based on a Japanese hospital information system study, we applied the RA and derived the application architecture.

conclusionWe demonstrated that the methods of the software architecture design community could be used in the healthcare domain effectively and showed the applicability of the RA.

Indexed as

Health Information SystemsHospital Information SystemsDelivery of Health CareHumansElectronic patient dossierHealth information systemsReference architectureSoftware architectureUnified modeling language

Identifiers

PMID34238281
PMCPMC8263849

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Registered trials

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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.