Evidence map›Paper›PMID 32789529›Full record

Observational studyJournal of medical systems2020

Evaluation of Outcomes Using a Tablet-Based System to Support Glycemic Management Workflow Operations: A Retrospective Observational Study.

Kei Teramoto, Tsuyoshi Okura, Hiroshi Kondo

Open access · hybridAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of medical systems, 2020. 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, top 86% of its field
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, 2 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Kei TeramotoThe Division of Medical Informatics, Tottori University Hospital, Nishi-cho, Yonago, 36, Japan. kei-tera@umin.net.ORCID http://orcid.org/0000-0001-5412-6600
Tsuyoshi OkuraDivision of Cardiovascular Medicine, Endocrinology and Metabolism, Department of Molecular Medicine and Therapeutics, Tottori University Faculty of Medicine, Nishi-cho, Yonago, 36, Japan.
Hiroshi KondoThe Division of Medical Informatics, Tottori University Hospital, Nishi-cho, Yonago, 36, Japan.
Tottori University Hospital · JPTottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of hospitalized patients with type 2 diabetes requires glycemic management to maintain the patients' blood glucose levels within a normal range. We developed a blood glucose management system (BGM) system in 2015, which is a tablet-based workflow support system. This system enables medical staff to continually confirm the physicians' instructions by measuring the blood glucose levels while using a tablet terminal.In this study, we examined electronic medical records (EMRs) to evaluate the usage frequency of the BGM system and the time required for the glycemic management workflow in comparison to conventional PC terminals in a large hospital setting. The data includes 197,927 blood glucose level measurements that were taken in the general wards of Tottori University Hospital between January 2016 and June 2017. The usage frequency of the glycemic management workflow while using the BGM system was 145,864 times (approximately 74% of the total blood glucose measurements). The mean time until the completion of the glycemic management workflow in the case of hyperglycemia was 16 min 33 s, which is 26% shorter than using a PC terminal for treatment that involves injection or infusion (1454 times). The BGM system is proactively utilized by medical staff, thereby improving the operating efficiency. The results of this study indicate that the BGM system installed on tablet terminals can improve the efficiency in large-scale medical institutions that treat patients with diabetes.

Indexed as

Diabetes Mellitus, Type 2Blood GlucoseHumansRetrospective StudiesWorkflowBlood GlucoseBlood glucose managementDiabetes patientTablet terminalsWorkflow management

Identifiers

PMID32789529
OpenAlexW3048720855

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.