Evidence map›Paper›PMID 23800982›Full record

ArticleJournal of medical systems2013

An approach to medical knowledge sharing in a hospital information system using MCLink.

Akiko Shibuya, Ryusuke Inoue, Masaharu Nakayama, Shin Kasahara, Yukihiro Maeda, Yoshimasa Umesato, Yoshiaki Kondo

Abstract read
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In one paragraph

Article in Journal of medical systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Akiko ShibuyaDepartment of Health Care Services Management, Nihon University School of Medicine, 30-1 Kamicho, Itabashiku, Tokyo, 173-0032, Japan, shibuya.akiko@nihon-u.ac.jp.
Ryusuke Inoue
Masaharu Nakayama
Shin Kasahara
Yukihiro Maeda
Yoshimasa Umesato
Yoshiaki Kondo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinicians often need access to electronic information resources that answer questions that occur in daily clinical practice. This information generally comes from publicly available resources. However, clinicians also need knowledge on institution-specific information (e.g., institution-specific guidelines, choice of drug, choice of laboratory test, information on adverse events, and advice from professional colleagues). This information needs to be available in real time. This study characterizes these needs in order to build a prototype hospital information system (HIS) that can help clinicians get timely answers to questions. We previously designed medical knowledge units called Medical Cells (MCs). We developed a portal server of MCs that can create and store medical information such as institution-specific information. We then developed a prototype HIS that embeds MCs as links (MCLink); these links are based on specific terms (e.g., drug, laboratory test, and disease). This prototype HIS presents clinicians with institution-specific information. The HIS clients (e.g., clinicians, nurses, pharmacists, and laboratory technicians) can also create an MCLink in the HIS using the portal server in the hospital. The prototype HIS allowed efficient sharing and use of institution-specific information to clinicians at the point of care. This study included institution-specific information resources and advice from professional colleagues, both of which might have an important role in supporting good clinical decision making.

Indexed as

KnowledgePoint-of-Care SystemsHumans

Identifiers

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.