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The acceptance of clinical decision support systems among clinicians in the treatment of neck and/or back pain
2020
European Journal of Public Health
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Background Clinical Decision Support Systems (CDSSs) are computerized systems using case-based reasoning to assist clinicians in making clinical decisions. ...
Despite the proven added value to public health, the implementation of CDSS clinical practice is scarce. Particularly, little is known about the acceptance of CDSS among clinicians. ...
Within this platform the user will be shipwrecked and has to The acceptance of clinical decision support systems among clinicians in the treatment of neck and/or back pain Stephanie Jansen-Kosterink ...
doi:10.1093/eurpub/ckaa165.1234
fatcat:iouojg2mtbd5de43tmplkk6ecu
Reasons for declining computerized insulin protocol recommendations: Application of a framework
2008
Journal of Biomedical Informatics
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Clinical decision support systems (CDS) can interpret detailed treatment protocols for ICU care providers. In open-loop systems, clinicians can decline protocol recommendations. ...
Even though our protocol was well-accepted by clinicians overall, noncompliance patterns revealed potential protocol improvement targets, and suggested ways to reduce barriers impeding software use. ...
Acknowledgments We are indebted to our many R.N. and M.D. clinician colleagues, who enabled the completion of this work. ...
doi:10.1016/j.jbi.2008.04.002
pmid:18499528
pmcid:PMC2490709
fatcat:rpudyujkszbjrhybrdlvk2pm3m
The application of technology acceptance and diffusion of innovation models in healthcare informatics
2013
Health Policy and Technology
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Ward, R. (2013) The application of technology acceptance and diffusion of innovation models in healthcare informatics. Health Policy and Technology, 2 (4). pp. 222-228. ...
Technology Acceptance Models Various attempts have been made to examine the factors which will influence an individual's decision about the use or otherwise of new technologies. ...
The Technology Acceptance Model (TAM) focuses on the factors and decision processes an individual will go through in any decision to accept and use a technology (4) . ...
doi:10.1016/j.hlpt.2013.07.002
fatcat:rbgnzet3fvavnek7yakp6nlcve
Factors influencing alert acceptance: a novel approach for predicting the success of clinical decision support
2011
JAMIA Journal of the American Medical Informatics Association
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This information may help improve clinical decision support systems design. ...
Clinical decision support systems can prevent knowledge-based prescription errors and improve patient outcomes. ...
Funding This work was supported in part by a fellowship within the postdoctoral program of the German Academic Exchange Service (DAAD), Bonn, Germany; the Health Information Technology Center for Education ...
doi:10.1136/amiajnl-2010-000039
pmid:21571746
pmcid:PMC3128393
fatcat:y3sbwec2lvaypf5tcamtnaex2y
Factors influencing decision support system acceptance
2013
Decision Support Systems
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The purpose of this research was to develop and explore a UTAUT (Unified Theory of Acceptance and Use of Technology) based model of how and why GPs accept DSS. ...
The developed model indicated that four main factors influence DSS acceptance and use including usefulness (incorporating consultation issue, professional development and patient presence), facilitating ...
It is therefore important to identify the factors that influence GPs' acceptance of these systems to facilitate their usage and improve decision making. ...
doi:10.1016/j.dss.2012.09.018
fatcat:s53nmm4ptbcddfdsagq37ecyze
Assessing Acceptance Level of a Hybrid Clinical Decision Support Systems
[chapter]
2021
Studies in Health Technology and Informatics
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We present a user acceptance study of a clinical decision support system (CDSS) for Type 2 Diabetes Mellitus (T2DM) risk prediction. ...
We employed a Lankton's model to evaluate the user acceptance of the clinical decision support system. Our analysis has proved that without the presence of scales, a physician trust CDSS blindly. ...
The work of Georgy Kopanitsa was financially supported by the Government of the Russian Federation through the ITMO fellowship program. ...
doi:10.3233/shti210802
pmid:34795071
fatcat:544xgmr57nbczhznix746azpsy
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study
2021
Journal of medical systems
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In order to improve quality and safety in healthcare, computerized decision support should predict actionable events and be highly accepted by users. ...
Despite intense research on machine learning for the prediction of clinical outcomes, the acceptance of the integration of such complex models in clinical routine remains unclear. ...
Special thanks go to Susanne Rienmüller, Ewald Tax and Birgit Großauer for their ongoing support during the whole study period. ...
doi:10.1007/s10916-021-01727-6
pmid:33646459
fatcat:jsvefhcolzekdcqwu7pblptpp4
A six-year repeated evaluation of computerized clinical decision support system user acceptability
2018
International Journal of Medical Informatics
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Objective-Long-term acceptability among computerized clinical decision support system (CDSS) users in pediatrics is unknown. ...
We used logistic regression to assess the odds of a favorable response to each question by survey year, clinic role, part-time status, and frequency of CHICA use. ...
Acknowledgments The authors wish to acknowledge the technical expertise and efforts of the individual members of the Child Health Informatics and Research Development Lab (CHIRDL) team that provides programming ...
doi:10.1016/j.ijmedinf.2018.01.011
pmid:29500025
pmcid:PMC5836810
fatcat:jbfuggv6onht7orlrcxcpmzrt4
User Acceptance of Health Information Technology (HIT) in Developing Countries: A Conceptual Model
2014
Procedia Technology - Elsevier
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Also works on acceptance of HIT systems were reviewed so as to understand the level of research done in the area. ...
These limitations can be overcome when researchers study the factors that will affect the user acceptance of these systems, and then consider the factors while developing the systems. ...
This decision making capability help doctors and other medical experts to manage their patients with ease. These systems are called Clinical Decision Support Systems (CDSS). ...
doi:10.1016/j.protcy.2014.10.145
fatcat:2arrxa73hjdfrf54hqi6lqrvfu
Factors influencing trust in medical artificial intelligence for healthcare professionals: a narrative review
2021
Journal of Medical Artificial Intelligence
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features of AI-based diagnostic and clinical decision support systems that contribute to enhanced end-user trust. ...
However, lack of trust in the output of such complex decision support systems introduces challenges and barriers to adoption and implementation into clinical practice. ...
Acknowledgments We would like to thank the Biomedic.AI Lab at McMaster University for their on-going support and feedback throughout the process of this study. ...
doi:10.21037/jmai-21-25
fatcat:e2yvcpp7pradhadpu7mbnyjiba
Guidance for Evidence-Informed Policies about Health Systems: Linking Guidance Development to Policy Development
2012
PLoS Medicine
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This is one paper in a three-part series that sets out how evidence should be translated into guidance to inform policies on health systems and improve the delivery of clinical and public health interventions ...
Acknowledgments We acknowledge other members of the Task Force on Developing Health Systems Guidance, who include (with their affiliations at the time when the Task
Author Contributions Wrote the ...
first draft of the manuscript: JNL. ...
doi:10.1371/journal.pmed.1001186
pmid:22427746
pmcid:PMC3302830
fatcat:ohnen2ir5nfejc6jek4xrtqw7m
Factors Influencing Patients' Acceptance and Adherence to Active Surveillance
2012
Journal of the National Cancer Institute. Monographs
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This is particularly germane when considering factors that influence a patient's acceptance of and adherence to active surveillance (AS). ...
Finally, some of the factors, particularly the heuristic ones, are potentially modifiable and may serve as targets for future interventions to increase acceptance of and adherence to AS. ...
Rather, this chapter will focus specifically on patient-related factors that influence the acceptance of and adherence to AS in clinically localized prostate cancer. ...
doi:10.1093/jncimonographs/lgs024
pmid:23271775
pmcid:PMC3540870
fatcat:t2sy3fccmrheldarp3lgpuqzwm
Barriers and Facilitators to Clinical Decision Support Systems Adoption: A Systematic Review
2014
Journal of Business Administration Research
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The objective of the study was to identify potential barriers and facilitators to improve clinical practice using computer-based Clinical Decision Support System (CDSS). ...
The keywords ((CDSS OR Clinical Decision Support systems) AND (barrier OR facilitator)) were used to identify CDSS's barriers and facilitators in improving clinical practice. ...
One such system is the computer-based Clinical Decision Support System (CDSS) developed to provide patient-specific, evidence-based advice in order to overcome some of the challenges facing the healthcare ...
doi:10.5430/jbar.v3n2p36
fatcat:x6btshv5ifb4rgkqvix2gdcy3m
Treatment decision aids are unlikely to cut healthcare costs
2014
The BMJ (British Medical Journal)
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The factors that contribute to growth in healthcare spending are well known. ...
The difference has important implications for strategies to influence the outcomes of clinical encounters including costs. ...
Competing interests: I have read and understood the BMJ Group policy on declaration of interests and declare the following interests: none. Provenance and peer review: Commissioned; not peer reviewed. ...
doi:10.1136/bmj.g1172
pmid:24500345
fatcat:lecjwl5afzcarn4klsod5ygyxa
Subjective usability of the CARDSS guideline-based decision support system
2008
Studies in Health Technology and Informatics
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Clinical decision support systems (CDSSs) differ from other health information systems in their aim to directly influence the decision-making behaviour of healthcare professionals. ...
The questionnaire was returned by 63 respondents (93%) from 27 clinics. Factors that influenced CARDSS' usability were identified using linear regression analysis. ...
The participating clinics either worked with an intervention version of the system that included decision support functionality, or with a control version that lacked decision support but otherwise had ...
pmid:18487730
fatcat:o2tapdghtjgbzousl67ehvrviq
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