Evidence map›Paper›PMID 32245499›Full record

ArticleBMC medical informatics and decision making2020

Technical requirements framework of hospital information systems: design and evaluation.

Mehrdad Farzandipour, Zahra Meidani, Ehsan Nabovati, Monireh Sadeqi Jabali, Razieh Dehghan Banadaki

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
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  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

5 authors.

Mehrdad FarzandipourResearch Centre for Health Information Management, Kashan University of Medical Sciences, Kashan, Iran. farzandipour_m@kaums.ac.ir.ORCID 0000-0001-9738-7771
Zahra MeidaniResearch Centre for Health Information Management, Kashan University of Medical Sciences, Kashan, Iran.
Ehsan NabovatiResearch Centre for Health Information Management, Kashan University of Medical Sciences, Kashan, Iran.
Monireh Sadeqi JabaliDepartment of Health Information Management & Technology, Kashan University of Medical Sciences, Kashan, Iran.
Razieh Dehghan BanadakiDr. Shari'ati Hospital, Hormozgan University of Medical Sciences, Hormozgan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplementing the health information system (HIS) is more complex and costly than implementing other information systems. The present study was conducted to design and evaluate technical requirements for the HIS.

methodsThe present study was conducted in 2016 by determining technical requirements for the HIS using the Delphi technique and then evaluating this system using a checklist based on the approved requirements.

resultsThe first part of the study designed a 73-item final list of technical requirements for the HIS in four domains, i.e. communication service, system architecture, security service and system response time. The evaluation results obtained in the second part showed that communication service was met in 63.8% of the HIS programs, system architecture in 65.5%, security service in 72.4% and system response time in 76.3%.

conclusionsA technical evaluation tool was designed and used to select and evaluate the HIS. The evaluation results suggested the study HIS was poorer in terms of communication service and system architecture than in the other two dimensions.

Indexed as

Hospital Information SystemsCommunication serviceHospital information systemSecurity serviceSystem architectureSystem response timeTechnical requirements

Identifiers

PMID32245499
PMCPMC7119017

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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.