PMID- 36454624
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20221219
IS  - 1929-0748 (Print)
IS  - 1929-0748 (Electronic)
IS  - 1929-0748 (Linking)
VI  - 11
IP  - 12
DP  - 2022 Dec 1
TI  - Integration of Artificial Intelligence Into Sociotechnical Work Systems-Effects 
      of Artificial Intelligence Solutions in Medical Imaging on Clinical Efficiency: 
      Protocol for a Systematic Literature Review.
PG  - e40485
LID - 10.2196/40485 [doi]
LID - e40485
AB  - BACKGROUND: When introducing artificial intelligence (AI) into clinical care, one 
      of the main objectives is to improve workflow efficiency because AI-based 
      solutions are expected to take over or support routine tasks. OBJECTIVE: This 
      study sought to synthesize the current knowledge base on how the use of AI 
      technologies for medical imaging affects efficiency and what facilitators or 
      barriers moderating the impact of AI implementation have been reported. METHODS: 
      In this systematic literature review, comprehensive literature searches will be 
      performed in relevant electronic databases, including PubMed/MEDLINE, Embase, 
      PsycINFO, Web of Science, IEEE Xplore, and CENTRAL. Studies in English and German 
      published from 2000 onwards will be included. The following inclusion criteria 
      will be applied: empirical studies targeting the workflow integration or adoption 
      of AI-based software in medical imaging used for diagnostic purposes in a health 
      care setting. The efficiency outcomes of interest include workflow adaptation, 
      time to complete tasks, and workload. Two reviewers will independently screen all 
      retrieved records, full-text articles, and extract data. The study's 
      methodological quality will be appraised using suitable tools. The findings will 
      be described qualitatively, and a meta-analysis will be performed, if possible. 
      Furthermore, a narrative synthesis approach that focuses on work system factors 
      affecting the integration of AI technologies reported in eligible studies will be 
      adopted. RESULTS: This review is anticipated to begin in September 2022 and will 
      be completed in April 2023. CONCLUSIONS: This systematic review and synthesis 
      aims to summarize the existing knowledge on efficiency improvements in medical 
      imaging through the integration of AI into clinical workflows. Moreover, it will 
      extract the facilitators and barriers of the AI implementation process in 
      clinical care settings. Therefore, our findings have implications for future 
      clinical implementation processes of AI-based solutions, with a particular focus 
      on diagnostic procedures. This review is additionally expected to identify 
      research gaps regarding the focus on seamless workflow integration of novel 
      technologies in clinical settings. TRIAL REGISTRATION: PROSPERO CRD42022303439; 
      https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=303439. 
      INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/40485.
CI  - (c)Katharina Wenderott, Nikoloz Gambashidze, Matthias Weigl. Originally published 
      in JMIR Research Protocols (https://www.researchprotocols.org), 01.12.2022.
FAU - Wenderott, Katharina
AU  - Wenderott K
AUID- ORCID: 0000-0002-6335-4231
AD  - Institute for Patient Safety, University Hospital Bonn, Bonn, Germany.
FAU - Gambashidze, Nikoloz
AU  - Gambashidze N
AUID- ORCID: 0000-0001-8113-0963
AD  - Institute for Patient Safety, University Hospital Bonn, Bonn, Germany.
FAU - Weigl, Matthias
AU  - Weigl M
AUID- ORCID: 0000-0003-2408-1725
AD  - Institute for Patient Safety, University Hospital Bonn, Bonn, Germany.
LA  - eng
PT  - Journal Article
DEP - 20221201
PL  - Canada
TA  - JMIR Res Protoc
JT  - JMIR research protocols
JID - 101599504
PMC - PMC9756121
OTO - NOTNLM
OT  - adoption
OT  - artificial intelligence
OT  - barrier
OT  - clinical care
OT  - clinical efficiency
OT  - diagnoses
OT  - diagnosis
OT  - diagnostic
OT  - digital health
OT  - facilitator
OT  - implementation
OT  - library science
OT  - literature review
OT  - literature search
OT  - medical librarian
OT  - narrative review
OT  - narrative synthesis
OT  - review methodology
OT  - search strategy
OT  - sociotechnical
OT  - sociotechnical work system
OT  - systematic review
COIS- Conflicts of Interest: None declared.
EDAT- 2022/12/02 06:00
MHDA- 2022/12/02 06:01
PMCR- 2022/12/01
CRDT- 2022/12/01 11:53
PHST- 2022/06/23 00:00 [received]
PHST- 2022/10/20 00:00 [accepted]
PHST- 2022/09/16 00:00 [revised]
PHST- 2022/12/01 11:53 [entrez]
PHST- 2022/12/02 06:00 [pubmed]
PHST- 2022/12/02 06:01 [medline]
PHST- 2022/12/01 00:00 [pmc-release]
AID - v11i12e40485 [pii]
AID - 10.2196/40485 [doi]
PST - epublish
SO  - JMIR Res Protoc. 2022 Dec 1;11(12):e40485. doi: 10.2196/40485.