Evidence map›Paper›PMID 35172086›Full record

ArticleHealthcare informatics research2022

Review of Smart Hospital Services in Real Healthcare Environments.

Hyuktae Kwon, Sunhee An, Ho-Young Lee, Won Chul Cha, Sungwan Kim, Minwoo Cho, Hyoun-Joong Kong

Open access · goldAbstract read
In one paragraph

Article in Healthcare informatics research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
24.7field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 129 citations in OpenAlex.

  1. Pooled it
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  14. Smart hospital: The future of healthcare.Computational and structural biotechnology journal · 2024
    Article
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  18. [Digital twin hospitals: transforming the future of healthcare].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
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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 at 4 institutions in 1 country.

Hyuktae KwonDepartment of Family Medicine, Seoul National University Hospital, Seoul, Korea.
Sunhee AnTransdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Korea.
Ho-Young LeeDepartment of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Won Chul ChaDepartment of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sungwan KimTransdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Korea.
Minwoo ChoBiomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
Hyoun-Joong KongTransdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Korea.
Seoul National University Hospital · KRSeoul National University · KRSamsung (South Korea) · KRSeoul National University Bundang Hospital · KR

Funding

Institute for Information and Communications Technology Promotion IITP-2020-2021-0-01833Ministry of Health and WelfareMinistry of Science and ICT
6 · The paper itself

Abstract

objectiveSmart hospitals involve the application of recent information and communications technology (ICT) innovations to medical services; however, the concept of a smart hospital has not been rigorously defined. In this study, we aimed to derive the definition and service types of smart hospitals and investigate cases of each type.

methodsA literature review was conducted regarding the background and technical characteristics of smart hospitals. On this basis, we conducted a focus group interview with experts in hospital information systems, and ultimately derived eight smart hospital service types.

resultsSmart hospital services can be classified into the following types: services based on location recognition and tracking technology that measures and monitors the location information of an object based on short-range communication technology; high-speed communication network-based services based on new wireless communication technology; Internet of Things-based services that connect objects embedded with sensors and communication functions to the internet; mobile health services such as mobile phones, tablets, and wearables; artificial intelligence-based services for the diagnosis and prediction of diseases; robot services provided on behalf of humans in various medical fields; extended reality services that apply hyper-realistic immersive technology to medical practice; and telehealth using ICT.

conclusionsSmart hospitals can influence health and medical policies and create new medical value by defining and quantitatively measuring detailed indicators based on data collected from existing hospitals. Simultaneously, appropriate government incentives, consolidated interdisciplinary research, and active participation by industry are required to foster and facilitate smart hospitals.

Indexed as

Digital TechnologyHealth Services AdministrationHospital Design and ConstructionHospital PlanningMeaningful Use

Identifiers

PMID35172086
PMCPMC8850169
OpenAlexW4210916485

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.