Factors That Impact the Adoption of Clinical Decision Support Systems (CDSS) for Antibiotic Management
Open accessAbstract
The study evaluated individual and setting-specific factors that moderate clinicians’ perception regarding use of clinical decision support systems (CDSS) for antibiotic management. A cross-sectional online survey examined clinicians’ perceptions about CDSS implementation for antibiotic management in Australia. Multivariable logistic regression determined the association between drivers of CDSS adoption and different moderators. Clinical experience, CDSS use and care setting were important predictors of clinicians’ perception concerning CDSS adoption. Compared to nonusers, CDSS users were less likely to lack confidence in CDSS (OR = 0.63, 95%, CI = 0.32, 0.94) and consider it a threat to professional autonomy (OR = 0.47, 95%, CI = 0.08, 0.83). Conversely, there was higher likelihood in experienced clinicians (>20 years) to distrust CDSS (OR = 1.58, 95%, CI = 1.08, 2.23) due to fear of comprising their clinical judgement (OR = 1.68, 95%, CI = 1.27, 2.85). In primary care, clinicians were more likely to perceive time constraints (OR = 1.96, 95%, CI = 1.04, 3.70) and patient preference (OR = 1.84, 95%, CI = 1.19, 2.78) as barriers to CDSS adoption for antibiotic prescribing. Our findings provide differentiated understanding of the CDSS implementation landscape by identifying different individual, organisational and system-level factors that influence system adoption. The individual and setting characteristics can help understand the variability in CDSS adoption for antibiotic management in different clinicians.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Computer literacy is an important predictor in the successful adoption of clinical decision support tools.
“In general, computer literacy is an important predictor in the successful adoption of clinical decision support tools and AI-enabled tools may require even higher technical proficiency.25,26”
From Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care. (2022) · cites this paper as [26]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Why Don't Physicians Follow Clinical Practice Guidelines?: A Framework for Improvement
Cabana, M. D., Rand, C. S., Powe, N. R., Wu, A. W., Wilson, M. H., Abboud, P.-A. C., & Rubin, H. R. (1999) · JAMA · doi:10.1001/jama.282.15.1458 · Cited by 6,677 · see citing works
An overview of clinical decision support systems: Benefits, risks, and strategies for success
Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0221-y · Cited by 3,019 · see citing works
Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead
University of Arkansas, Venkatesh, V., Thong, J., Hong Kong University of Science and Technology, Xu, X., & The Hong Kong Polytechnic University (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00428 · Cited by 2,513 · see citing works
Good practice in the conduct and reporting of survey research
Kelley, K. (2003) · International Journal for Quality in Health Care · doi:10.1093/intqhc/mzg031 · Cited by 2,162 · see citing works
Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model
DeLone, W. H., & McLean, E. R. (2004) · International Journal of Electronic Commerce · doi:10.1080/10864415.2004.11044317 · Cited by 1,423 · see citing works
Exploring physician specialist response rates to web-based surveys
Cunningham, C. T., Quan, H., Hemmelgarn, B., Noseworthy, T., Beck, C. A., Dixon, E., Samuel, S., Ghali, W. A., Sykes, L. L., & Jetté, N. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0016-z · Cited by 995 · see citing works
Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.08.011 · Cited by 740 · see citing works
Jaspers, M. W. M., Smeulers, M., Vermeulen, H., & Peute, L. W. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000094 · Cited by 525 · see citing works
Enhancing Surveys of Health Care Professionals
Cho, Y. I., Johnson, T. P., & VanGeest, J. B. (2013) · Evaluation & the Health Professions · doi:10.1177/0163278713496425 · Cited by 489 · see citing works
Kwan, J. L., Lo, L., Ferguson, J., Goldberg, H. R., Díaz-Martínez, J. P., TOMLINSON, G. A., Grimshaw, J., & Shojania, K. G. (2020) · BMJ · doi:10.1136/bmj.m3216 · Cited by 472 · see citing works
Zuiderwijk, A., Janssen, M., & Dwivedi, Y. K. (2015) · Government Information Quarterly · doi:10.1016/j.giq.2015.09.005 · Cited by 404 · see citing works
Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis
Khairat, S., Marc, D. T., Crosby, W., & Sanousi, A. A. (2018) · JMIR Medical Informatics · doi:10.2196/medinform.8912 · Cited by 336 · see citing works
Computerized clinical decision support for prescribing: provision does not guarantee uptake
Moxey, A., Robertson, J., Newby, D., Hains, I., Williamson, M., & Pearson, S.-A. (2010) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m3170 · Cited by 305 · see citing works
Liberati, E. G., Ruggiero, F., Galuppo, L., Gorli, M., González-Lorenzo, M., Maraldi, M., Ruggieri, P., Polo Friz, H., Scaratti, G., Kwag, K. H., et al. (2017) · Implementation Science · doi:10.1186/s13012-017-0644-2 · Cited by 301 · see citing works
Kilsdonk, E., Peute, L., & Jaspers, M. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.12.001 · Cited by 284 · see citing works
Combatting antimicrobial resistance globally
Sugden, R., Kelly, R., & Davies, S. C. (2016) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.187 · Cited by 280 · see citing works
Factors influencing decision support system acceptance
Shibl, R., Lawley, M., & Debuse, J. C. W. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.09.018 · Cited by 194 · see citing works
TSIKNAKIS, M., & KOUROUBALI, A. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.07.001 · Cited by 167 · see citing works
Joyce, C., Scott, A., Jeon, S., Humphreys, J. S., Kalb, G. R. J., Witt, J. C., & Leahy, A. (2010) · BMC Health Services Research · doi:10.1186/1472-6963-10-50 · Cited by 163 · see citing works
Use of Electronic Health Records and Clinical Decision Support Systems for Antimicrobial Stewardship
Forrest, G. N., Schooneveld, T. C. V., Kullar, R., Schulz, L. T., Duong, P., & Postelnick, M. J. (2014) · Clinical Infectious Diseases · doi:10.1093/cid/ciu565 · Cited by 161 · see citing works
Belard, A., Buchman, T. G., Forsberg, J. A., Potter, B. K., Dente, C. J., Kirk, A. D., & Elster, E. A. (2016) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-016-9849-1 · Cited by 160 · see citing works
Varonen, H., Kortteisto, T., Kaila, M., & for the EBMeDS Study Group (2008) · Family Practice · doi:10.1093/fampra/cmn020 · Cited by 137 · see citing works
Zheng, K., Padman, R., Johnson, M. P., & Diamond, H. S. (2005) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2005.03.007 · Cited by 130 · see citing works
May, L. S., Gudger, G., Armstrong, P., Brooks, G., Hinds, P., Bhat, R. G., Moran, G. J., Schwartz, L., Cosgrove, S. E., Klein, E. Y., et al. (2014) · Infection Control and Hospital Epidemiology · doi:10.1086/677637 · Cited by 127 · see citing works
Esmaeilzadeh, P., Sambasivan, M., Kumar, N., & Nezakati, H. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.03.007 · Cited by 121 · see citing works
Short, D., Frischer, M., & Bashford, J. (2004) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2004.02.001 · Cited by 110 · see citing works
Development and Implementation of Computerized Clinical Guidelines: Barriers and Solutions
Trivedi, M. H., Kern, J. K., Marcee, A. K., Grannemann, B. D., Kleiber, B., Bettinger, T., Altshuler, K. Z., & McClelland, A. (2002) · Methods of Information in Medicine · doi:10.1055/s-0038-1634216 · Cited by 109 · see citing works
Holstiege, J., Mathes, T., & Pieper, D. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002886 · Cited by 107 · see citing works
Curtis, C., Albahar, F., & Marriott, J. F. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183062 · Cited by 100 · see citing works
Barriers and Facilitators to Clinical Decision Support Systems Adoption: A Systematic Review
Devaraj, S., SHARMA, S. K., Fausto, D. J., Viernes, S., & Kharrazi, H. H. K. (2014) · Journal of Business Administration Research · doi:10.5430/jbar.v3n2p36 · Cited by 98 · see citing works
Taylor, T., & Scott, A. (2018) · Evaluation & the Health Professions · doi:10.1177/0163278718807744 · Cited by 89 · see citing works
Goud, R., van Engen-Verheul, M. M., de Keizer, N. F., Bal, R. A., Hasman, A., Hellemans, I. M., & Peek, N. B. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2010.03.001 · Cited by 75 · see citing works
Barriers to uptake of antimicrobial advice in a UK hospital: a qualitative study
Broom, J. K., Broom, A. F., Plage, S., Adams, K., & Post, J. J. (2016) · Journal of Hospital Infection · doi:10.1016/j.jhin.2016.03.011 · Cited by 72 · see citing works
Lugtenberg, M., Weenink, J.-W., van der Weijden, T., Westert, G. P., & Kool, R. B. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-015-0205-z · Cited by 70 · see citing works
Kortteisto, T., Komulainen, J., Mākelä, M., Kunnamo, I., & Kaila, M. (2012) · BMC Health Services Research · doi:10.1186/1472-6963-12-349 · Cited by 65 · see citing works
Catho, G., Centemero, N. S., Catho, H., Ranzani, A., Balmelli, C., Landelle, C., Zanichelli, V., & Huttner, B. D. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104233 · Cited by 54 · see citing works
Camacho, J., Zanoletti-Mannello, M., Landis‐Lewis, Z., Kane‐Gill, S. L., & Boyce, R. D. (2020) · Journal of Medical Internet Research · doi:10.2196/18388 · Cited by 52 · see citing works
Simões, A. S., Maia, M. R., Gregório, J., Couto, I., Asfeldt, A. M., Simonsen, G. S., Póvoa, P. M. S. R., Viveiros, M., & Lapão, L. V. (2018) · Journal of Hospital Infection · doi:10.1016/j.jhin.2018.07.034 · Cited by 50 · see citing works
Leslie, S. J., Hartswood, M., Meurig, C., McKee, S. P., Slack, R., Procter, R., & Denvir, M. A. (2005) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2005.02.002 · Cited by 49 · see citing works
Laka, M., Milazzo, A., & Merlin, T. (2019) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkz543 · Cited by 45 · see citing works
Self-citationLai, F., MacMillan, J., Daudelin, D. H., & Kent, D. M. (2006) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872006776412306 · Cited by 44 · see citing works
Hor, C. P., O'Donnell, J. M., Murphy, A. W., O’Brien, T., & Kropmans, T. (2010) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-10-2 · Cited by 40 · see citing works
Lugtenberg, M., Pasveer, D., van der Weijden, T., Westert, G. P., & Kool, R. B. (2015) · BMC Family Practice · doi:10.1186/s12875-015-0364-0 · Cited by 39 · see citing works
Abdulaziz, K. E., Brehaut, J., Taljaard, M., Émond, M., Sirois, M., Lee, J. S., Wilding, L., & Perry, J. J. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-007166 · Cited by 38 · see citing works
Decision support systems for adoption in dental clinics: A survey
Goh, W. P., Tao, X., Zhang, J., & Yong, J. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.04.022 · Cited by 37 · see citing works
Ozkaynak, M., Wu, D. T. Y., Hannah, K. L., Dayan, P. S., & Mistry, R. D. (2018) · Applied Clinical Informatics · doi:10.1055/s-0038-1641594 · Cited by 37 · see citing works
Chow, A. L., Ang, A. J. F., Chow, C., Ng, T. M., Teng, C. B., Ling, L. M., Ang, B. S. P., & Lye, D. C. (2015) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2015.12.006 · Cited by 36 · see citing works
Chung, P., Scandlyn, J. N., Dayan, P. S., & Mistry, R. D. (2017) · American Journal of Infection Control · doi:10.1016/j.ajic.2017.06.005 · Cited by 33 · see citing works
A TAM Model to Evaluate User’s Attitude Towards Adoption of Decision Support Systems
Rigopoulos, G., Psarras, J. E., & Askoun, D. T. (2008) · Journal of Applied Sciences · doi:10.3923/jas.2008.899.902 · Cited by 31 · see citing works
Jung, S. Y., Hwang, H. Y., Lee, K., Lee, H., Kim, E., Kim, M.-Y., & Cho, I. Y. (2020) · JMIR Medical Informatics · doi:10.2196/18758 · Cited by 26 · see citing works
Short, D., Frischer, M., & Bashford, J. (2003) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v11i4.567 · Cited by 23 · see citing works
An Analysis of Factors Affecting User Acceptance of ERP Systems in the United States
Bandyopadhyay, K., & Barnes, C. (2012) · International Journal of Human Capital and Information Technology Professionals · doi:10.4018/jhcitp.2012010101 · Cited by 19 · see citing works
Overcoming the barriers to using information systems.
Chan, T., de Lusignan, S., & Brew, S. (2004) · PubMed · Cited by 9 · see citing works
Endophthalmitis in Clinical Practice
Flynn, H. W., Batra, N. R., Schwartz, S. G., & Grzybowski, A. E. (2017) · In clinical practice · doi:10.1007/978-3-319-66351-7 · Cited by 5 · see citing works
Clinical Decision Support Tools Need to Improve More Than Just Process Outcomes
Freundlich, R. E., Wanderer, J. P., & Ehrenfeld, J. M. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002349 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [39]Corbin J. Strauss A. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory Sage Publications Thousand Oaks, CA, USA 2014
- [55]Afonso C.M. Roldán Salgueiro J.L. Sánchez Franco M.J. González M.d.l.O. The moderator role of gender in the unified theory of acceptance and use of technology (utaut): A study on users of electronic document management systems Proceedings of the 7th International Conference on Partial Least Squares and Related Methods Houston, TX, USA 19–22 May 2012
Cited by
Sorted by citations
Meunier, P.-Y., Raynaud, C., Guimaraes, E., Gueyffier, F., & Letrilliart, L. (2023) · The Annals of Family Medicine · doi:10.1370/afm.2908 · Cited by 149 · see citing works
Abell, B., Naicker, S., Rodwell, D., Donovan, T., Tariq, A., Baysari, M., Blythe, R., Parsons, R., & McPhail, S. M. (2023) · Implementation Science · doi:10.1186/s13012-023-01287-y · Cited by 131 · see citing works
Knop, M., Weber, S., Mueller, M., & Niehaves, B. (2022) · JMIR Human Factors · doi:10.2196/28639 · Cited by 103 · see citing works
Dingel, J., Kleine, A., Cecil, J., Sigl, A., Lermer, E., & Gaube, S. (2024) · Journal of Medical Internet Research · doi:10.2196/57224 · Cited by 104 · see citing works
Ackerhans, S., Huynh, T. V., Kaiser, C., & Schultz, C. (2024) · Implementation Science · doi:10.1186/s13012-024-01339-x · Cited by 68 · see citing works
Karpov, O. E., Николаевна, П. Е., Kurkin, S., Maksimenko, V., Gusev, A. V., Shusharina, N. N., & Hramov, A. E. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20075335 · Cited by 61 · see citing works
Fletcher, E., Burns, A., Wiering, B., Lavu, D., Shephard, E., Hamilton, W., Campbell, J. L., & Abel, G. (2023) · BMC Primary Care · doi:10.1186/s12875-023-01973-2 · Cited by 40 · see citing works
Laka, M., Carter, D., Milazzo, A., & Merlin, T. (2022) · Health Policy and Technology · doi:10.1016/j.hlpt.2022.100652 · Cited by 39 · see citing works
Self-citationGrechuta, K., Shokouh, P., Alhussein, A., Müller‐Wieland, D., Meyerhoff, J., Gilbert, J. D., Purushotham, S., & Rolland, C. (2024) · Interactive Journal of Medical Research · doi:10.2196/58036 · Cited by 44 · see citing works
Rushlow, D. R., Croghan, I. T., Inselman, J. W., Thacher, T. D., Friedman, P. A., Yao, X., Pellikka, P. A., Lopez-Jimenez, F., Bernard, M. E., Barry, B. A., et al. (2022) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2022.04.008 · Cited by 33 · see citing works
Azadi, A., & García‐Peñalvo, F. J. (2025) · JMIR Human Factors · doi:10.2196/69333 · Cited by 33 · see citing works
Lu, M.-P., & Kosim, Z. B. (2022) · Journal of Financial Services Marketing · doi:10.1057/s41264-022-00182-9 · Cited by 31 · see citing works
Yu, Z., Hu, N., Zhao, Q., Hu, X. Y., Jia, C., Zhang, C., Liu, B., & Li, Y. (2024) · Journal of Medical Internet Research · doi:10.2196/62768 · Cited by 28 · see citing works
Zheng, R., Jiang, X., Shen, L., He, T., Ji, M., Li, X., & Yu, G. (2025) · Journal of Medical Internet Research · doi:10.2196/62732 · Cited by 24 · see citing works
Blanes-Selva, V., Cuesta, S. A., Doñate-Martínez, A., Mesquita, F. P., & Garcia-Gomez, J. M. (2023) · Digital Health · doi:10.1177/20552076221150735 · Cited by 22 · see citing works
Marcilly, R., Colliaux, J., Robert, L., Sylvia Pelayo, A., Beuscart, J., Rousselière, C., & Décaudin, B. (2022) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2022.08.012 · Cited by 21 · see citing works
Tokgöz, P., Krayter, S., Häfner, J., & Dockweiler, C. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02490-7 · Cited by 22 · see citing works
Nelson, E. J., Khan, A. I., Keita, A. M., Brintz, B. J., Keïta, Y., Sanogo, D., Islam, M. T., Khan, Z. H., Rashid, M. M., Nasrin, D., et al. (2022) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2022.2535 · Cited by 19 · see citing works
Laka, M., Milazzo, A., & Merlin, T. (2021) · Australian Health Review · doi:10.1071/ah21197 · Cited by 17 · see citing works
Self-citationKhadem, T. M., Ergen, H. J., Salata, H. J., Andrzejewski, C., McCreary, E. K., Abdel-Massih, R. C., & Bariola, J. R. (2022) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofac235 · Cited by 16 · see citing works
Fernando, M., Abell, B., McPhail, S., Tyack, Z. F., Tariq, A., & Naicker, S. (2024) · JMIR Medical Informatics · doi:10.2196/60402 · Cited by 15 · see citing works
Liao, X., Yao, C., Zhang, J., & Liu, L. Z. (2023) · Journal of Evidence-Based Medicine · doi:10.1111/jebm.12549 · Cited by 14 · see citing works
Miao, S., Ji, P., Zhu, Y., Meng, H., Jing, M., Sheng, R., Zhang, X., Ding, H., Guo, J., Gao, W., et al. (2025) · JMIR Medical Informatics · doi:10.2196/63186 · Cited by 12 · see citing works
Leveraging digital technologies to enhance patient safety
Agius, S., Magri, C., Topham, L., Bezzina, F., & Cassar, V. (2025) · Health and Technology · doi:10.1007/s12553-025-01001-6 · Cited by 18 · see citing works
Enhancing AI-CDSS with U-AnoGAN: Tackling data imbalance
Mun, C., Ha, H., Lee, O., & Cheon, M. (2023) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2023.107954 · Cited by 11 · see citing works
Clinician Perspectives on Decision Support and AI-based Decision Support in a Pediatric ED
Ramgopal, S., Macy, M. L., Hayes, A. A., Florin, T. A., Carroll, M. S., & Kshetrapal, A. (2024) · Hospital Pediatrics · doi:10.1542/hpeds.2023-007653 · Cited by 10 · see citing works
Wong, R., Mehta, T., Very, B., Luo, J., Feterik, K., Crotty, B. H., Epstein, J. A., Fliotsos, M. J., Kashyap, N., Smith, E., et al. (2022) · Journal of General Internal Medicine · doi:10.1007/s11606-022-07945-z · Cited by 10 · see citing works
Albahar, F., Abu-Farha, R. K., Alshogran, O. Y., Alhamad, H., Curtis, C., & Marriott, J. F. (2023) · Healthcare · doi:10.3390/healthcare11060836 · Cited by 11 · see citing works
Ali, S. I., Jung, S. W., Bilal, H. S. M., Lee, S. H., Hussain, J., Afzal, M., Hussain, M., Ali, T., Chung, T., & Lee, S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010226 · Cited by 9 · see citing works
Böhm-Hustede, A. K., Lubasch, J. S., Hoogestraat, A. T., Buhr, E., & Wulff, A. (2025) · Systematic Reviews · doi:10.1186/s13643-024-02745-4 · Cited by 8 · see citing works
Bienvenu, A., Ducrocq, J.-M., Augé-Caumon, M., & Baseilhac, É. (2025) · Journal of Hospital Infection · doi:10.1016/j.jhin.2025.05.001 · Cited by 7 · see citing works
Mitigating cognitive bias with clinical decision support systems: an experimental study
Küper, A., Lodde, G. C., Livingstone, E., Schadendorf, D., & Krämer, N. C. (2023) · Journal of Decision System · doi:10.1080/12460125.2023.2245215 · Cited by 7 · see citing works
Sloan, C. E., Morton-Oswald, S., Smith, V. A., Sinaiko, A. D., Bowling, C. B., An, J., & Maciejewski, M. L. (2024) · Journal of the American Geriatrics Society · doi:10.1111/jgs.18774 · Cited by 7 · see citing works
Hernandez, B., Stiff, O., Ming, D. K. Y., Ct, Q., Lam, V. N., Minh, T. N., Vinh, C. N. V., Minh, N. N., Quang, H. N., Khanh, L. P., et al. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1057467 · Cited by 5 · see citing works
RETRACTED: CDSS Adoption and the Role of Artificial Intelligence in Saudi Arabian Primary Healthcare
Aljarboa, S., Alaya, B., Al-Ajlan, A., & Miah, S. J. (2024) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2024.101596 · Cited by 6 · see citing works
RetractedAlbahar, F., Abu-Farha, R. K., Alshogran, O. Y., Alhamad, H., Curtis, C., & Marriott, J. F. (2023) · Research Square · doi:10.21203/rs.3.rs-1751250/v1 · Cited by 4 · see citing works
Zhao, Q., Hu, X. Y., Hu, N., Xu, C., & Yu, Z. (2025) · Digital Health · doi:10.1177/20552076251396984 · Cited by 3 · see citing works
Rule-augmented constraint learning for semantic error detection in MIMIC-III knowledge graph
Noben, Ö., Kılıç, Ö. D., Rienstra, T., Dumontier, M., & Çelebi, R. (2026) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2026.106297 · Cited by 3 · see citing works
Santema, J. J. M. M., van Wijngaarden, J. D. H., Hiddink, E., Deken, F., Kleinsmann, M. S., & van Os, H. J. A. (2026) · Journal of Medical Internet Research · doi:10.2196/83084 · Cited by 3 · see citing works
Giordano, L., Durand, C., Ahmad, R., Collias, L., Thy, M., Kherabi, Y., Lescure, F.-X., Hamard, M., Birgand, G., & Peiffer‐Smadja, N. (2026) · Antimicrobial Resistance and Infection Control · doi:10.1186/s13756-026-01731-w · Cited by 3 · see citing works
Ferreira, G., Oliveira, E., Stamper, J. C., Coelho, A. F., Paredes, H., & Rodrigues, N. F. (2023) · SeGAH ... IEEE ... International Conference on Serious Games and Applications for Health/IEEE International Conference on Serious Games and Applications for Health · doi:10.1109/segah57547.2023.10253790 · Cited by 3 · see citing works
Baudet, A., Brennstuhl, M., Lizon, J., Regad, M., Thilly, N., Demoré, B., & Florentin, A. (2024) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2024.105419 · Cited by 3 · see citing works
Kersey, E., Li, J., Kay, J. L., Adler‐Milstein, J., Yazdany, J., & Schmajuk, G. (2024) · JAMIA Open · doi:10.1093/jamiaopen/ooae061 · Cited by 3 · see citing works
Morton, K., Santillo, M., van Velthoven, M. H., Yardley, L., Thomas, M. D., Wang, K., Ainsworth, B., & Tonkin-Crine, S. K. (2025) · PLoS ONE · doi:10.1371/journal.pone.0317613 · Cited by 4 · see citing works
Chow, A. L., Huang, Z., Yeow, A. Y. K., & Lee, J. M. H. (2022) · Journal of Hospital Infection · doi:10.1016/j.jhin.2022.07.018 · Cited by 3 · see citing works
Nayak, A., Satpathy, I., & Khang, A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-36434-1.00030-6 · Cited by 2 · see citing works
Gezer, M., Hunter, B., Hocking, J. S., Manski-Nankervis, J.-A. E., & Goller, J. L. (2023) · Sexual Health · doi:10.1071/sh22191 · Cited by 2 · see citing works
Bienvenu, A., Cour, M., Pavèse, P., Guichon, C., Leray, V., Chapuis, C., Dureault, A., Mohkam, K., Gallet, S., Bourget, S., et al. (2024) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkae118 · Cited by 2 · see citing works
Sultan, H. O., Najjar, S., Awartani, F., & Abu‐Odah, H. (2024) · PLoS ONE · doi:10.1371/journal.pone.0310765 · Cited by 3 · see citing works
Providing Care: Intrinsic Human–Machine Teams and Data
Russell, S., & Kumar, A. (2022) · Entropy · doi:10.3390/e24101369 · Cited by 1 · see citing works
Bamgboje‐Ayodele, A., Borg, D. N., McPhail, S., & Baysari, M. T. (2023) · Digital Health · doi:10.1177/20552076231219107 · Cited by 1 · see citing works
Prakash, M. P., & Thiagalingam, A. (2024) · JMIR Cardio · doi:10.2196/55958 · Cited by 1 · see citing works
Waldock, W. J., Gilchrist, M. J., Ashrafian, H., Darzi, A. W., & Franklin, B. D. (2026) · npj Antimicrobials and Resistance · doi:10.1038/s44259-026-00187-7 · Cited by 1 · see citing works
Fernando, M., Naicker, S., Abell, B., McPhail, S., & Tyack, Z. F. (2026) · International Journal of Evidence-Based Healthcare · doi:10.1097/xeb.0000000000000561 · Cited by 1 · see citing works
Engel-Dettmers, E. M., Braakman-Jansen, A. L. M. A., van Gemert-Pijnen, L. J. E. W. C., & Verdaasdonk, R. M. (2026) · Infection Prevention in Practice · doi:10.1016/j.infpip.2026.100531 · Cited by 1 · see citing works
Perception of Patient Safety and Error Reduction Through a Clinical Decision Support System (AI)
Alegre-Ortiz, V. M., Tuanama, L. C. T., & Espinoza, A. N. P. (2026) · Aquichan · doi:10.5294/aqui.2026.26.2.1 · Cited by 1 · see citing works
Barriers to and enablers of use of infectious disease decision support systems: a scoping review
Johncox, E., Zai, B., Hobson, S. J., Parmley, E. J., Sharif, S., & Grant, L. E. (2026) · BMC Digital Health · doi:10.1186/s44247-026-00258-9 · Cited by 1 · see citing works
Böhm-Hustede, A. K., Lubasch, J. S., Hoogestraat, A. T., Buhr, E., & Wulff, A. (2026) · Systematic Reviews · doi:10.1186/s13643-026-03200-2 · Cited by 1 · see citing works
Baudet, A., Brennstuhl, M., Charmillon, A., Meyer, F., Pulcini, C., Thilly, N., Demoré, B., & Florentin, A. (2024) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2024.105653 · Cited by 1 · see citing works
Yu, Z., Hu, N., Zhao, Q., Hu, X. Y., Jia, C., Zhang, C., Liu, B., & Li, Y. (2024) · doi:10.2196/preprints.62692 · Cited by 1 · see citing works
On Analyzing Complex Data Within Clinical Decision Support Systems
Kalina, J. (2022) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-6684-5092-5.ch004
Kong, H., Heo, E., Kim, H.-S., Jeong, Y., Lee, J., Lee, E., Lee, J., Jung, J., Song, K., Kim, E. S., et al. (2022) · Journal of Korean Society of Health-System Pharmacists · doi:10.32429/jkshp.2022.39.4.003
Clinical Decision Support System
Jiang, H. (2023) · Springer eBooks · doi:10.1007/978-981-99-5925-9_10
Safaralizade, M., Babalhavaeji, F., Hariri, N., & Nooshinfard, F. (2025) · Studies in Medical Sciences · doi:10.61186/umj.35.10.779
Riisberg, S. F., & Kadenic, M. D. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.02.184
Sitasuwan, T., Suriyaphol, P., Lawpoolsri, S., Soonthornworasiri, N., & Ngum, W. P. (2025) · JMIR Human Factors · doi:10.2196/57314
Aydın, E. M., Balas, Ş., Örüç, N. E., Atar, F., Parlak, B., & Tezcan, B. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-13778-3
Abell, B., Naicker, S., Rodwell, D., Donovan, T., Tariq, A., Baysari, M., Blythe, R. D., Parsons, R., & McPhail, S. (2023) · Figshare · doi:10.6084/m9.figshare.23788345
Tokgöz, P., Krayter, S., Häfner, J., & Dockweiler, C. (2024) · Figshare · doi:10.6084/m9.figshare.26707062
Abell, B., Naicker, S., Rodwell, D., Donovan, T., Tariq, A., Baysari, M., Blythe, R. D., Parsons, R., & McPhail, S. (2023) · Figshare · doi:10.6084/m9.figshare.23788348
Vrijlandt, S., Ista, E., Kuiper, R., van Veen, M., van Wermeskerken, A., Ropers, F. G., & Oostenbrink, R. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-106788
Nielsen, K. M., Packull-McCormick, S. R., & Grant, L. E. (2026) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-026-03515-z
Beyond Explainability: What Drives Optometrists’ Trust in AI Glaucoma Screening
Karim, A., Ghaffar, F., Xu, W., Furtado, N. M., & Burns, C. M. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-30833-7_27
Shin, J. H., Park, C. H., Lee, M., Lee, S.-K., Farina, C. L., Park, S., Korer, B., & Batchelor, M. (2026) · Journal of Gerontological Nursing · doi:10.3928/00989134-20260626-03
Factors associated with chronic pain clinical decision support use in primary care
McCord, E., Apathy, N. C., Blackburn, J. L., Holmes, A. M., Sanner, L. M., Harle, C. A., & Mazurenko, O. (2026) · PLOS Digital Health · doi:10.1371/journal.pdig.0001032
Bounsall, K., Cong, C., Downey, J. A., Onyeachu, P., Haunton, V. J., Allgar, V. L., & Carroll, C. (2026) · BMJ Open · doi:10.1136/bmjopen-2026-116525
Kücking, F., & Hübner, U. (2026) · JMIR Medical Informatics · doi:10.2196/92237
- Authors
- Laka, M., Milazzo, A., & Merlin, T.
- Affiliations
- The University of Adelaide (AU)
- Corresponding author
- Merlin, Tracy
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2021-02-16
- Volume
- 18
- Issue
- 4
- Pages
- 1901
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC7920296
- OpenAlex
- W3129286046
- Cited by
- 78
- References
- 57
- Citations by year
- 2026: 16 · 2025: 13 · 2024: 17 · 2023: 17 · 2022: 13 · 2021: 2
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Australian Hand Therapy Association
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- clinical decision support systems, antibiotic prescribing, technology adoption, clinician perceptions, professional autonomy, trust in AI, clinical experience, primary care, care environment, implementation barriers, patient preferences, time constraints
- MeSH terms
- Anti-Bacterial Agents, Australia, Cross-Sectional Studies, Humans, Primary Health Care, Decision Support Systems, Clinical
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
