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1
Corrigendum to “IoT-Based Healthcare Support System for Alzheimer’s Patients”
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Corrigendum to “IoT-Based Healthcare Support System for Alzheimer’s Patients”

Wireless communications and mobile computing, 2021-03, Vol.2021, p.1-1 [Peer Reviewed Journal]

Copyright © 2021 Rozita Jamili Oskouei et al. ;Copyright © 2021 Rozita Jamili Oskouei et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1530-8669 ;EISSN: 1530-8677 ;DOI: 10.1155/2021/2396575

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2
Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review
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Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review

Journal of medical Internet research, 2020-07, Vol.22 (7), p.e18477-e18477 [Peer Reviewed Journal]

Siqi Liu, Kay Choong See, Kee Yuan Ngiam, Leo Anthony Celi, Xingzhi Sun, Mengling Feng. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.07.2020. ;2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Siqi Liu, Kay Choong See, Kee Yuan Ngiam, Leo Anthony Celi, Xingzhi Sun, Mengling Feng. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.07.2020. 2020 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/18477 ;PMID: 32706670

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3
A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping
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A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping

Journal of medical Internet research, 2020-08, Vol.22 (8), p.e18388 [Peer Reviewed Journal]

Jhon Camacho, Manuela Zanoletti-Mannello, Zach Landis-Lewis, Sandra L Kane-Gill, Richard D Boyce. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 06.08.2020. ;2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Jhon Camacho, Manuela Zanoletti-Mannello, Zach Landis-Lewis, Sandra L Kane-Gill, Richard D Boyce. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 06.08.2020. 2020 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/18388 ;PMID: 32759098

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4
Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board
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Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board

Annals of oncology, 2018-02, Vol.29 (2), p.418-423 [Peer Reviewed Journal]

2018 European Society for Medical Oncology ;The Author(s) 2018. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com. 2018 ;The Author(s) 2018. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;ISSN: 0923-7534 ;EISSN: 1569-8041 ;DOI: 10.1093/annonc/mdx781 ;PMID: 29324970

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5
What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation
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What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation

Implementation science : IS, 2017-09, Vol.12 (1), p.113-113, Article 113 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s). 2017 ;ISSN: 1748-5908 ;EISSN: 1748-5908 ;DOI: 10.1186/s13012-017-0644-2 ;PMID: 28915822

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6
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Nature medicine, 2019-08, Vol.25 (8), p.1301-1309 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Aug 2019 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-019-0508-1 ;PMID: 31308507

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7
Use of Electronic Health Records and Clinical Decision Support Systems for Antimicrobial Stewardship
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Use of Electronic Health Records and Clinical Decision Support Systems for Antimicrobial Stewardship

Clinical infectious diseases, 2014-10, Vol.59 (suppl_3), p.S122-S133 [Peer Reviewed Journal]

The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com. ;ISSN: 1058-4838 ;EISSN: 1537-6591 ;DOI: 10.1093/cid/ciu565 ;PMID: 25261539

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8
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
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Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

BMJ (Online), 2022-05, Vol.377, p.e070904-e070904 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2022 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. BMJ http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2022 BMJ ;ISSN: 1756-1833 ;ISSN: 0959-8138 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj-2022-070904 ;PMID: 35584845

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9
Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system
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Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system

BMC medical informatics and decision making, 2017-04, Vol.17 (1), p.36-36, Article 36 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s). 2017 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-017-0430-8 ;PMID: 28395667

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10
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

BMC medical informatics and decision making, 2020-11, Vol.20 (1), p.310-310, Article 310 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-020-01332-6 ;PMID: 33256715

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11
Decision Support for Blockchain Platform Selection: Three Industry Case Studies
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Decision Support for Blockchain Platform Selection: Three Industry Case Studies

IEEE transactions on engineering management, 2020-11, Vol.67 (4), p.1109-1128 [Peer Reviewed Journal]

ISSN: 0018-9391 ;EISSN: 1558-0040 ;DOI: 10.1109/TEM.2019.2956897 ;CODEN: IEEMA4

Digital Resources/Online E-Resources

12
Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial
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Article
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Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial

Nature medicine, 2021-05, Vol.27 (5), p.815-819 [Peer Reviewed Journal]

COPYRIGHT 2021 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2021. ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-021-01335-4 ;PMID: 33958795

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13
A systematic review of trials evaluating success factors of interventions with computerised clinical decision support
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Article
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A systematic review of trials evaluating success factors of interventions with computerised clinical decision support

Implementation science : IS, 2018-08, Vol.13 (1), p.114-114, Article 114 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;Copyright © 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;The Author(s). 2018 ;ISSN: 1748-5908 ;EISSN: 1748-5908 ;DOI: 10.1186/s13012-018-0790-1 ;PMID: 30126421

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14
Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review
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Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review

Journal of medical Internet research, 2022-02, Vol.24 (2), p.e31083-e31083 [Peer Reviewed Journal]

Khalia Ackermann, Jannah Baker, Malcolm Green, Mary Fullick, Hilal Varinli, Johanna Westbrook, Ling Li. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 23.02.2022. ;COPYRIGHT 2022 Journal of Medical Internet Research ;2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Khalia Ackermann, Jannah Baker, Malcolm Green, Mary Fullick, Hilal Varinli, Johanna Westbrook, Ling Li. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 23.02.2022. 2022 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/31083 ;PMID: 35195528

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15
Letter to the Editor Responding to “Paths Forward for Clinicians Amidst the Rise of Unregulated Clinical Decision Support Software: Our Perspective on NarxCare”
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Letter to the Editor Responding to “Paths Forward for Clinicians Amidst the Rise of Unregulated Clinical Decision Support Software: Our Perspective on NarxCare”

Journal of general internal medicine : JGIM, 2024-05, Vol.39 (6), p.1074-1074 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Society of General Internal Medicine 2024 ;The Author(s), under exclusive licence to Society of General Internal Medicine 2024. ;ISSN: 0884-8734 ;EISSN: 1525-1497 ;DOI: 10.1007/s11606-024-08615-y ;PMID: 38238643

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16
Success factors of an early EHR system for child and adolescent mental health: Lessons learned for future practice data-driven decision aids
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Book
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Success factors of an early EHR system for child and adolescent mental health: Lessons learned for future practice data-driven decision aids

info:eu-repo/semantics/openAccess ;ISBN: 9781643680026 ;ISBN: 1643680021 ;DOI: 10.3233/SHTI220057

Digital Resources/Online E-Resources

17
The GUIDES checklist: development of a tool to improve the successful use of guideline-based computerised clinical decision support
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Article
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The GUIDES checklist: development of a tool to improve the successful use of guideline-based computerised clinical decision support

Implementation science : IS, 2018-06, Vol.13 (1), p.86-86, Article 86 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;Copyright © 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;Attribution ;The Author(s). 2018 ;ISSN: 1748-5908 ;EISSN: 1748-5908 ;DOI: 10.1186/s13012-018-0772-3 ;PMID: 29941007

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18
A systematic review and taxonomy of explanations in decision support and recommender systems
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Article
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A systematic review and taxonomy of explanations in decision support and recommender systems

User modeling and user-adapted interaction, 2017-12, Vol.27 (3-5), p.393-444 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2017 ;User Modeling and User-Adapted Interaction is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0924-1868 ;EISSN: 1573-1391 ;DOI: 10.1007/s11257-017-9195-0

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19
Predicting outcomes in radiation oncology--multifactorial decision support systems
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Article
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Predicting outcomes in radiation oncology--multifactorial decision support systems

Nature reviews. Clinical oncology, 2013-01, Vol.10 (1), p.27-40 [Peer Reviewed Journal]

COPYRIGHT 2013 Nature Publishing Group ;COPYRIGHT 2013 Nature Publishing Group ;Copyright Nature Publishing Group Jan 2013 ;ISSN: 1759-4774 ;EISSN: 1759-4782 ;DOI: 10.1038/nrclinonc.2012.196 ;PMID: 23165123 ;CODEN: AJHYE6

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20
Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study
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Article
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Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study

Orphanet journal of rare diseases, 2019-03, Vol.14 (1), p.69-69, Article 69 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;COPYRIGHT 2019 BioMed Central Ltd. ;2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 1750-1172 ;EISSN: 1750-1172 ;DOI: 10.1186/s13023-019-1040-6 ;PMID: 30898118

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