Evidence map›Paper›PMID 19415134›Full record

ArticleThe open medical informatics journal2008

Towards open information management in health care.

J Yli-Hietanen, S Niiranen

Abstract read
In one paragraph

Article in The open medical informatics journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

J Yli-HietanenDepartment of Signal Processing, Tampere University of Technology, Finland.
S Niiranen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of information technology as tool in health care is increasing. The main benefits stem from the fact that information in electronic form can be transferred to different locations rapidly and from the possibility to automate certain information management tasks. The current technological approach for this automation relies on structured, formally coded representation of information. We discuss the limitations of the current technological approach and present a viewpoint, grounded on previous research and the authors' own experiences, on how to progress. We present that a bottleneck in the automation of the management of constantly evolving clinical information is caused by the fact that the current technological approach requires the formal coding of information to be static in nature. This inherently hinders the expandability of the information case space to be managed. We present a new paradigm entitled open information management targeting unlimited case spaces. We also present a conceptual example from clinical medicine demonstrating open information management principles and mechanisms.

Identifiers

PMID19415134
PMCPMC2666957

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.