Evidence map›Paper›PMID 27957459›Full record

ReviewIranian journal of public health2016

Technological Ecosystems in Health Informatics: A Brief Review Article.

Zhongmei Wu, Xiuxiu Zhang, Ying Chen, Yan Zhang

Abstract readReview
In one paragraph

Review in Iranian journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Zhongmei WuXu Zhou Institute of Medical Sciences, Xu Zhou Central Hospital, 199# South Jiefang Road, Xuzhou, Jiangsu, China.
Xiuxiu ZhangXuzhou City Children's Hospital, Xuzhou, Jiangsu, China.
Ying ChenXu Zhou Institute of Medical Sciences, Xu Zhou Central Hospital, 199# South Jiefang Road, Xuzhou, Jiangsu, China.
Yan ZhangXu Zhou Institute of Medical Sciences, Xu Zhou Central Hospital, 199# South Jiefang Road, Xuzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe existing models of information technology in health sciences have full scope of betterment and extension. The high demand pressures, public expectations, advanced platforms all collectively contribute towards hospital environment, which has to be kept in kind while designing of advanced technological ecosystem for information technology. Moreover, for the smooth conduct and operation of information system advanced management avenues are also essential in hospitals. It is the top priority of every hospital to deal with the essential needs of care for patients within the available resources of human and financial outputs. In these situations of high demand, the technological ecosystems in health informatics come in to play and prove its importance and role. The present review article would enlighten all these aspects of these ecosystems in hospital management and health care informatics.

methodsWe searched the electronic database of MEDLINE, EMBASE, and PubMed for clinical controlled trials, pre-clinical studies reporting utilizaiono of ecosysyem advances in health information technology.

resultsThe primary outcome of eligible studies included confirmation of importance and role of advances ecosystems in health informatics. It was observed that technological ecosystems are the backbone of health informatics.

conclusionAdvancements in technological ecosystems are essential for proper functioning of health information system in clinical setting.

Indexed as

EcosystemsHealth informaticsHospital administration

Identifiers

PMID27957459
PMCPMC5149468

What OpenQuestion holds

Textmetadata
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.