Evidence map›Paper›PMID 36981502›Full record

ArticleHealthcare (Basel, Switzerland)2023

Development and Testing of the Smart Healthcare Prototype System through COVID-19 Patient Innovation.

Po-Chih Chiu, Kuo-Wei Su, Chao-Hung Wang, Cong-Wen Ruan, Zong-Peng Shiao, Chien-Han Tsao, Hsin-Hsin Huang

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In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Pathophysiologic Basis of Connected Health Systems.Journal of medical Internet research · 2023
    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.

Po-Chih ChiuCollege of Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan.ORCID 0000-0001-7560-9804
Kuo-Wei SuDepartment of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan.
Chao-Hung WangDepartment of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan.ORCID 0000-0002-7593-3580
Cong-Wen RuanDepartment of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan.
Zong-Peng ShiaoDepartment of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan.
Chien-Han TsaoDepartment of Otolaryngology, Chung Shan Medical University Hospital and School of Medicine, Taichung 40201, Taiwan.ORCID 0000-0002-7934-9437
Hsin-Hsin HuangDepartment of Otolaryngology, Chung Shan Medical University Hospital and School of Medicine, Taichung 40201, Taiwan.

Funding

Chung Shan Medical University Hospital CSH-2021-C-055National Science and Technology Council NSTC 110-2221-E-992-085-MY2
6 · The paper itself

Abstract

Since the outbreak of the novel coronavirus disease 2019 (COVID-19), the epidemic has gradually slowed down in various countries and people's lives have gradually returned to normal. To monitor the spread of the epidemic, studies discussing the design of related healthcare information systems have been increasing recently. However, these studies might not consider the aspect of user-centric design when developing healthcare information systems. This study examined these innovative technology applications and rapidly built prototype systems for smart healthcare through a systematic literature review and a study of patient innovation. The design guidelines for the Smart Healthcare System (SHS) were then compiled through an expert review process. This will provide a reference for future research and similar healthcare information system development.

Indexed as

COVID-19patient innovationprototypesmart healthcare systemusability

Identifiers

PMID36981502
PMCPMC10048738

What OpenQuestion holds

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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.