Harnessing the Power of Clinical Decision Support Systems: Challenges and Opportunities
Open accessAbstract
Clinical decision support systems (CDSSs) are increasingly integrated into healthcare settings to improve patient outcomes, reduce medical errors and enhance clinical efficiency by providing clinicians with evidence-based recommendations at the point of care. However, the adoption and optimisation of these systems remain a challenge. This review aims to provide an overview of the current state of CDSS, discussing their development, implementation, benefits, limitations and future directions. We also explore the potential for enhancing their effectiveness and provide an outlook for future developments in this field. There are several challenges in CDSS implementation, including data privacy concerns, system integration and clinician acceptance. While CDSS have demonstrated significant potential, their adoption and optimisation remain a challenge.
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CDSS are software tools designed to help healthcare professionals make clinical decisions by integrating patient-specific information with a knowledge database using advanced algorithms to deliver customized recommendations or assessments in real time.
“CDSS are software tools designed to help healthcare professionals make clinical decisions by integrating patient-specific information with a knowledge database using advanced algorithms to deliver customized recommendations or assessments in real time [211].”
From Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors (2026) · cites this paper as [211]
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Cites
High-performance medicine: the convergence of human and artificial intelligence
Topol, E. J. (2019) · Nature Medicine · doi:10.1038/s41591-018-0300-7 · Cited by 10,450 · see citing works
A New Initiative on Precision Medicine
Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202 · see citing works
Rajkomar, A., Dean, J., & Kohane, I. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1814259 · Cited by 4,579 · 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
Improving Primary Care for Patients With Chronic Illness
Bodenheimer, T. (2002) · JAMA · doi:10.1001/jama.288.14.1775 · Cited by 2,961 · see citing works
Garg, A. X., Adhikari, N. K. J., McDonald, H., Rosas-Arellano, M. P., Devereaux, P. J., Beyene, J., Sam, J., & Haynes, R. B. (2005) · JAMA · doi:10.1001/jama.293.10.1223 · Cited by 2,936 · see citing works
Artificial intelligence in healthcare
Yu, K.-H., Beam, A. L., & Kohane, I. S. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0305-z · Cited by 2,817 · see citing works
Kawamoto, K., Houlihan, C. A., Balas, E. A., & Lobach, D. F. (2005) · BMJ · doi:10.1136/bmj.38398.500764.8f · Cited by 2,703 · see citing works
Big Data and Machine Learning in Health Care
Beam, A. L., & Kohane, I. S. (2018) · JAMA · doi:10.1001/jama.2017.18391 · Cited by 2,506 · see citing works
The practical implementation of artificial intelligence technologies in medicine
He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. (2019) · Nature Medicine · doi:10.1038/s41591-018-0307-0 · Cited by 2,246 · see citing works
Causability and explainability of artificial intelligence in medicine
Holzinger, A., Langs, G., Denk, H., Zatloukal, K., & Müller, H. (2019) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1312 · Cited by 1,885 · see citing works
Hunt, D. L., Haynes, R. B., Hanna, S., & Smith, K. (1998) · JAMA · doi:10.1001/jama.280.15.1339 · Cited by 1,684 · see citing works
The Inevitable Application of Big Data to Health Care
Murdoch, T. B., & Detsky, A. S. (2013) · JAMA · doi:10.1001/jama.2013.393 · Cited by 1,676 · see citing works
The Threshold Approach to Clinical Decision Making
Pauker, S. G., & Kassirer, J. P. (1980) · New England Journal of Medicine · doi:10.1056/nejm198005153022003 · Cited by 1,371 · see citing works
Bates, D. W., Kuperman, G. J., Wang, S., Gandhi, T., Kittler, A., Volk, L., Spurr, C., Khorasani, R., Tanasijevic, M., & Middleton, B. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1370 · Cited by 1,346 · see citing works
Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017) · PLOS ONE · doi:10.1371/journal.pone.0174944 · Cited by 1,346 · see citing works
Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
Haug, C. J., & Drazen, J. M. (2023) · New England Journal of Medicine · doi:10.1056/nejmra2302038 · Cited by 1,215 · see citing works
Effect of Clinical Decision-Support Systems: A Systematic Review
Bright, T. J., Wong, A., Dhurjati, R., Bristow, E., Bastian, L., Coeytaux, R. R., Samsa, G., Hasselblad, V., Williams, J. W., Musty, M. D., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-1-201207030-00450 · Cited by 1,200 · see citing works
Thornicroft, G., Brohan, E., Rose, D. S., Sartorius, N., & Leese, M. (2009) · The Lancet · doi:10.1016/s0140-6736(08)61817-6 · Cited by 1,189 · see citing works
Nagendran, M., Chen, Y., Lovejoy, C. A., Gordon, A. C., Komorowski, M., Harvey, H., Topol, E. J., Ioannidis, J. P. A., Collins, G. S., & Maruthappu, M. (2020) · BMJ · doi:10.1136/bmj.m689 · Cited by 1,152 · see citing works
Self-citationA three-talk model for shared decision making: multistage consultation process
Elwyn, G. J., Durand, M., Song, J. H., Aarts, J. W. M., Barr, P. J., Berger, Z. D., Cochran, N., Frosch, D. L., Galasiński, D., Gulbrandsen, P., et al. (2017) · BMJ · doi:10.1136/bmj.j4891 · Cited by 1,031 · see citing works
Clinical decision support in the era of artificial intelligence
Shortliffe, E. H., & Sepúlveda, M. J. (2018) · JAMA · doi:10.1001/jama.2018.17163 · Cited by 920 · see citing works
The Clinician and Dataset Shift in Artificial Intelligence
Finlayson, S. G., Subbaswamy, A., Singh, K., Bowers, J., Kupke, A., Zittrain, J., Kohane, I. S., & Saria, S. (2021) · New England Journal of Medicine · doi:10.1056/nejmc2104626 · Cited by 855 · see citing works
Clinical decision support systems for the practice of evidence-based medicine
Sim, I., Gorman, P., Greenes, R. A., Haynes, R. B., Kaplan, B., Lehmann, H., & Tang, P. C. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080527 · Cited by 732 · see citing works
Middleton, B., Bloomrosen, M., Dente, M. A., Hashmat, B., Koppel, R., Overhage, J. M., Payne, T. H., Rosenbloom, S. T., Weaver, C., & Zhang, J. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001458 · Cited by 618 · see citing works
Artificial Intelligence and Surgical Decision-making.
Loftus, T. J., Tighe, P. J., Filiberto, A. C., Efron, P. A., Brakenridge, S. C., Mohr, A. M., Rashidi, P., Upchurch, G. R., & Bihorac, A. (2020) · JAMA Surgery · doi:10.1001/jamasurg.2019.4917 · Cited by 611 · cited 1× · see citing works
“15 While CDSS have demonstrated significant potential, their adoption and optimisation remain a challenge.”
Interventions to reduce unnecessary caesarean sections in healthy women and babies
Betrán, A. P., Temmerman, M., Kingdon, C., Mohiddin, A., Opiyo, N., Torloni, M. R., Zhang, J., Musana, O., Wanyonyi, S., Gülmezoglu, A. M., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31927-5 · Cited by 599 · see citing works
Grand challenges in clinical decision support
Sittig, D. F., Wright, A., Osheroff, J. A., Middleton, B., Teich, J. M., Ash, J. S., Campbell, E., & Bates, D. W. (2008) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2007.09.003 · Cited by 582 · 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
Why digital medicine depends on interoperability
Lehne, M., Sass, J., Essenwanger, A., Schepers, J., & Thun, S. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0158-1 · Cited by 501 · 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 471 · see citing works
Roshanov, P. S., Fernandes, N., Wilczynski, J. M., Hemens, B. J., You, J. J., Handler, S. M., Nieuwlaat, R., Souza, N. M., Beyene, J., Spall, H. G. C. V., et al. (2013) · BMJ · doi:10.1136/bmj.f657 · Cited by 458 · see citing works
What’s Wrong With Advance Care Planning?
Morrison, R. S., Meier, D. E., & Arnold, R. M. (2021) · JAMA · doi:10.1001/jama.2021.16430 · Cited by 447 · see citing works
Priorities for cancer research in low- and middle-income countries: a global perspective
Pramesh, C. S., Badwe, R. A., Bhoo‐Pathy, N., Booth, C. M., Chinnaswamy, G., Dare, A. J., de Andrade, V. P., Hunter, D. J., Gopal, S., Gospodarowicz, M. K., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01738-x · Cited by 438 · see citing works
Bennett, C. C., & Hauser, K. (2013) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2012.12.003 · Cited by 378 · see citing works
Moja, L., Kwag, K. H., Lytras, T., Bertizzolo, L., Brandt, L., Pecoraro, V. L., Rigon, G., Vaona, A., Ruggiero, F. M., Mangia, M., et al. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.302164 · Cited by 341 · see citing works
The Optimal Practice of Evidence-Based Medicine
Montori, V. M., Brito, J. P., & Murad, M. H. (2013) · JAMA · doi:10.1001/jama.2013.281422 · Cited by 268 · see citing works
Impact of Electronic Health Record Clinical Decision Support on Diabetes Care: A Randomized Trial
O’Connor, P. J., Sperl‐Hillen, J. M., Rush, W. A., Johnson, P. E., Amundson, G. H., Asche, S. E., Ekstrom, H. L., & Gilmer, T. (2011) · The Annals of Family Medicine · doi:10.1370/afm.1196 · Cited by 264 · see citing works
Clinical Implications and Challenges of Artificial Intelligence and Deep Learning
Stead, W. W. (2018) · JAMA · doi:10.1001/jama.2018.11029 · Cited by 250 · see citing works
Wu, G., Yang, P., Woodruff, H. C., Rao, X., Guiot, J., Frix, A.-N., Moutschen, M. P., Louis, R. E., Li, J., Li, J., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.01104-2020 · Cited by 243 · see citing works
A Clinical Decision Support System for Prevention of Venous Thromboembolism
Durieux, P., Nizard, R., Ravaud, P., Mounier, N., & Lepage, É. (2000) · JAMA · doi:10.1001/jama.283.21.2816 · Cited by 239 · see citing works
Privacy-Preserving Patient-Centric Clinical Decision Support System on Naïve Bayesian Classification
Liu, X., Lu, R., Ma, J., Chen, L., & Qin, B. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2407157 · Cited by 238 · see citing works
Holbrook, A. M., Thabane, L., Keshavjee, K., Dolovich, L. R., Bernstein, B., Chan, D., Troyan, S., Foster, G., Gerstein, H. C., & for the COMPETE II Investigators (2009) · Canadian Medical Association Journal · doi:10.1503/cmaj.081272 · Cited by 231 · see citing works
Digital health technologies: opportunities and challenges in rheumatology
Solomon, D. H., & Rudin, R. S. (2020) · Nature Reviews Rheumatology · doi:10.1038/s41584-020-0461-x · Cited by 228 · see citing works
How COVID-19 has fundamentally changed clinical research in global health
Park, J., Mogg, R., Smith, G. E., Nakimuli‐Mpungu, E., Jehan, F., Rayner, C. R., Condo, J. U., Decloedt, E. H., Nachega, J. B., Reis, G., et al. (2021) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30542-8 · Cited by 220 · see citing works
Fralick, M., Colak, E., & Mamdani, M. (2019) · New England Journal of Medicine · doi:10.1056/nejmc1906060 · Cited by 206 · see citing works
Clinical Decision Support Systems
(2016) · Health informatics · doi:10.1007/978-3-319-31913-1 · Cited by 196 · see citing works
Overview of Clinical Decision Support Systems
Berner, E. S., & Lande, T. J. L. (2016) · Health informatics · doi:10.1007/978-3-319-31913-1_1 · Cited by 173 · see citing works
Artificial Intelligence for the Diagnosis of Heart Failure
Choi, D.-J., Park, J. J., Ali, T., & Lee, S. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0261-3 · 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
Vasey, B., Ursprung, S., Beddoe, B., Taylor, E. H., Marlow, N., Bilbro, N., Watkinson, P., & McCulloch, P. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.1276 · Cited by 154 · see citing works
Decision support systems for personalized and participative radiation oncology
Lambin, P., Zindler, J. D., Vanneste, B. G. L., Voorde, L. V. D., Eekers, D. B. P., Compter, I., Panth, K. M., Peerlings, J., Larue, R. T. H. M., Deist, T. M., et al. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.01.006 · Cited by 154 · see citing works
The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI
Ploug, T., & Holm, S. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2020.101901 · Cited by 152 · see citing works
Wright, A. T., Sittig, D. F., Ash, J. S., Feblowitz, J. C., Meltzer, S. N., McMullen, C. K., Guappone, K. P., Carpenter, J., Richardson, J. E., Simonaitis, L., et al. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000113 · Cited by 147 · see citing works
Shreve, J. T., Khanani, S. A., & Haddad, T. C. (2022) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_350652 · Cited by 144 · see citing works
Gao, S., Tibiche, C., Zou, J., Zaman, N., Trifiro, M. A., O'Connor‐McCourt, M. D., & Wang, E. (2015) · JAMA Oncology · doi:10.1001/jamaoncol.2015.3413 · Cited by 136 · see citing works
Taheri Moghadam, S., Sadoughi, F., Velayati, F., Ehsanzadeh, S. J., & Poursharif, S. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-01376-8 · Cited by 136 · see citing works
The Effects of Clinical Decision Support Systems on Medication Safety: An Overview
Jia, P., Zhang, L., Chen, J., Zhao, P., & Zhang, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167683 · Cited by 134 · see citing works
van Doormaal, J. E., van den Bemt, P. M. L. A., Zaal, R. J., Egberts, T. C. G., Lenderink, B. W., Kosterink, J. G. W., Haaijer‐Ruskamp, F. M., & Mol, P. G. M. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m3099 · Cited by 131 · see citing works
Miller, K. M., Mosby, D. L., Capan, M., Kowalski, R. L., Ratwani, R. M., Noaiseh, Y., Kraft, R., Schwartz, S., Weintraub, W. S., & Arnold, R. C. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx118 · Cited by 130 · see citing works
Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence
Nundy, S., Montgomery, T., & Wachter, R. M. (2019) · JAMA · doi:10.1001/jama.2018.20563 · Cited by 129 · see citing works
Du, Y., Rafferty, A. R., McAuliffe, F. M., Wei, L., & Mooney, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-05112-2 · Cited by 128 · see citing works
Users' Guides to the Medical Literature
Randolph, A. G., Haynes, R. B., Wyatt, J. C., Cook, D. J., & Guyatt, G. H. (1999) · JAMA · doi:10.1001/jama.282.1.67 · Cited by 127 · see citing works
Strategies for improving adaptation practice in developing countries
Conway, D., & Mustelin, J. (2014) · Nature Climate Change · doi:10.1038/nclimate2199 · Cited by 126 · see citing works
Marzorati, C., & Pravettoni, G. (2017) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s122383 · Cited by 125 · see citing works
PPM-HDA: Privacy-Preserving and Multifunctional Health Data Aggregation With Fault Tolerance
Han, S., Zhao, S., Li, Q., Ju, C., & Zhou, W. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2472369 · Cited by 116 · see citing works
Westerbeek, L., Ploegmakers, K. J., de Bruijn, G., Linn, A. J., van Weert, J. C. M., Daams, J. G., van der Velde, N., van Weert, H. C. P. M., Abu–Hanna, A., & Medlock, S. K. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104506 · Cited by 114 · see citing works
Ethical implications of the use of whole genome methods in medical research
Kaye, J. S., Boddington, P., de Vries, J., Hawkins, N., & Melham, K. (2009) · European Journal of Human Genetics · doi:10.1038/ejhg.2009.191 · Cited by 103 · see citing works
Clinical Decision Support Systems (CDSS) for preventive management of COPD patients
Velickovski, F., Ceccaroni, L., Roca, J., Burgos, F., Gáldiz, J. B., Marina, N., & Lluch-Ariet, M. (2014) · Journal of Translational Medicine · doi:10.1186/1479-5876-12-s2-s9 · Cited by 102 · see citing works
Computerised decision support systems for healthcare professionals: an interpretative review
Cresswell, K. M., Majeed, A., Bates, D. W., & Sheikh, A. (2013) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v20i2.32 · Cited by 101 · see citing works
Explainable Artificial Intelligence for Safe Intraoperative Decision Support
Gordon, L., Grantcharov, T., & Rudzicz, F. (2019) · JAMA Surgery · doi:10.1001/jamasurg.2019.2821 · Cited by 94 · see citing works
Kleppe, A., Skrede, O.-J., de Raedt, S., Hveem, T. S., Askautrud, H. A., Jacobsen, J. E., Church, D. N., Nesbakken, A., Shepherd, N. A., Novelli, M. R., et al. (2022) · The Lancet Oncology · doi:10.1016/s1470-2045(22)00391-6 · Cited by 91 · see citing works
Ip, I. K., Schneider, L. I., Hanson, R., Marchello, D., Hultman, P., Viera, M., Chiango, B. F., Andriole, K. P., Menard, A., Schade, S., et al. (2012) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2011.10.010 · Cited by 88 · see citing works
Bauer, N. S., Gilbert, A. L., Carroll, A. E., & Downs, S. M. (2013) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2013.780 · Cited by 81 · see citing works
CDSS-RM: a clinical decision support system reference model
Zikos, D., & DeLellis, N. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0587-6 · Cited by 78 · see citing works
Yao, W., & Kumar, A. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.10.008 · Cited by 78 · see citing works
Goud, R., de Keizer, N. F., ter Riet, G., Wyatt, J. C., Hasman, A., Hellemans, I. M., & Peek, N. B. (2009) · BMJ · doi:10.1136/bmj.b1440 · Cited by 76 · see citing works
Wulff, A., Haarbrandt, B., Tute, E., Marschollek, M., Beerbaum, P., & Jack, T. (2018) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2018.04.012 · Cited by 74 · see citing works
Opportunities for genomic clinical decision support interventions
Overby, C. L., Kohane, I. S., Kannry, J. L., Williams, M. S., Starren, J. B., Böttinger, E. P., Gottesman, O., Denny, J. C., Weng, C., Tarczy-Hornoch, P. Z., et al. (2013) · Genetics in Medicine · doi:10.1038/gim.2013.128 · Cited by 70 · see citing works
The New HIPAA (Health Insurance Portability and Accountability Act of 1996) Medical Privacy Rule
Kulynych, J. J., & Korn, D. A. (2003) · Circulation · doi:10.1161/01.cir.0000080642.35380.50 · Cited by 69 · see citing works
Moja, L., Friz, H. P., Capobussi, M., Kwag, K. H., Banzi, R., Ruggiero, F. M., González‐Lorenzo, M., Liberati, E. G., Mangia, M., Nyberg, P. M., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.17094 · Cited by 68 · see citing works
Jacob, V., Thota, A. B., Chattopadhyay, S. K., Njie, G. J., Proia, K. K., Hopkins, D. P., Ross, M. N., Pronk, N. P., & Clymer, J. M. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw160 · Cited by 66 · see citing works
Mebrahtu, T. F., Skyrme, S., Randell, R., Keenan, A., Bloor, K. E., Yang, H., Andre, D., Ledward, A., King, H., & Thompson, C. A. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-053886 · Cited by 64 · see citing works
Boers, S. N., Jongsma, K. R., Lucivero, F., Aardoom, J. J., Büchner, F. L., de Vries, M. C., Honkoop, P., Houwink, E. J. F., Kasteleyn, M. J., Meijer, E., et al. (2019) · European Journal of General Practice · doi:10.1080/13814788.2019.1678958 · Cited by 63 · see citing works
Clinical decision support: progress and opportunities
Lyman, J. A., Cohn, W. F., Bloomrosen, M., & Detmer, D. E. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.005561 · Cited by 63 · see citing works
What makes a good clinical decision support system
Purcell, G. P. (2005) · BMJ · doi:10.1136/bmj.330.7494.740 · Cited by 61 · see citing works
Artificial Intelligence and Machine Learning in Clinical Medicine
Zhang, G. J., & Zhou, Y. B. (2023) · New England Journal of Medicine · doi:10.1056/nejmc2305287 · Cited by 59 · see citing works
Optimization of critical care pharmacy clinical services: A gap analysis approach
Sikora, A. N., Murray, B., Smith, S. E., Brothers, T. N., Al-Mamun, M. A., Chase, A. M., Rowe, S., Buckley, M. S., Murphy, D. J., & Devlin, J. W. (2021) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/zxab237 · Cited by 53 · see citing works
Clinical decision support in cardiovascular medicine
Lu, Y., Melnick, E. R., & Krumholz, H. M. (2022) · BMJ · doi:10.1136/bmj-2020-059818 · Cited by 50 · see citing works
Wijnhoven, F. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10206-9 · Cited by 48 · see citing works
Helmons, P. J., Grouls, R. J. E., Roos, A. N., Bindels, A. J. G. H., Wessels‐Basten, S. J. W., Ackerman, E. W., & Korsten, E. H. H. M. (2010) · BMJ Quality & Safety · doi:10.1136/qshc.2007.025700 · Cited by 46 · see citing works
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening
Alaa, A. M., Moon, K. H., Hsu, W. W. Y., & van der Schaar, M. (2016) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2016.2589160 · Cited by 46 · see citing works
Dullabh, P., Sandberg, S. F., Heaney-Huls, K., Hovey, L. S., Lobach, D. F., Boxwala, A. A., Desai, P. J., Berliner, E., Dymek, C., Harrison, M. I., et al. (2022) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocac059 · Cited by 46 · see citing works
Patel, S. A., Sharma, H., Mohan, S., Weber, M. B., Jindal, D., Jarhyan, P., Gupta, P., Sharma, R., Ali, M., Ali, M. K., et al. (2020) · BMC Health Services Research · doi:10.1186/s12913-020-05851-w · Cited by 41 · see citing works
Schuh, C. J., de Bruin, J. S., & Seeling, W. (2015) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2015.11.002 · Cited by 36 · see citing works
Clinical Decision Support and Malpractice Risk
Greenberg, M. D., & Ridgely, M. S. (2011) · JAMA · doi:10.1001/jama.2011.929 · Cited by 35 · see citing works
Piri, S. (2020) · Decision Support Systems · doi:10.1016/j.dss.2020.113339 · Cited by 33 · see citing works
The Health Insurance Portability and Accountability Act and the Informed Consent Process
Breese, P., Burman, W., Rietmeijer, C., & Lezotte, D. (2004) · Annals of Internal Medicine · doi:10.7326/0003-4819-141-11-200412070-00034 · Cited by 32 · see citing works
Kaushal, R., Shojania, K. G., & Bates, D. W. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.12.1409 · Cited by 30 · see citing works
Botts, N. E., Horan, T. A., & Thoms, B. (2011) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.01.016 · Cited by 27 · see citing works
Informed consent in the context of pharmacogenomic research: ethical considerations
Howard, H. C., Joly, Y., Avard, D. M., Laplante, N., Phillips, M., & Tardif, J. (2011) · The Pharmacogenomics Journal · doi:10.1038/tpj.2011.11 · Cited by 27 · see citing works
Pruszydlo, M. G., Walk-Fritz, S. U., Hoppe‐Tichy, T., Kaltschmidt, J., & Haefeli, W. E. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-137 · Cited by 27 · see citing works
Mandl, K. D. (2002) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m0973 · Cited by 26 · see citing works
Oluoch, T., Katana, A., Kwaro, D., Santas, X., Langat, P., Mwalili, S. M., Muthusi, J., Okeyo, N. O., Ojwang', J. K., Ronald Cornet, A., et al. (2015) · The Lancet HIV · doi:10.1016/s2352-3018(15)00242-8 · Cited by 26 · see citing works
Reconceptualising health security in post-COVID-19 world
Malik, S. M., Barlow, A., & Johnson, B. E. (2021) · BMJ Global Health · doi:10.1136/bmjgh-2021-006520 · Cited by 26 · see citing works
Müller, L., Gangadharaiah, R., Klein, S. C., Perry, J., Bernstein, G., Nurkse, D., Wailes, D. H., Graham, R., El-Kareh, R. E., Mehta, S. R., et al. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0804-1 · Cited by 25 · see citing works
Artificial intelligence versus clinicians
Rampton, V. (2020) · BMJ · doi:10.1136/bmj.m1326 · Cited by 24 · see citing works
Bhate, C., Ho, C. H., & Brodell, R. T. (2020) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2020.06.989 · Cited by 23 · see citing works
Evaluating the impact of the ICNET® clinical decision support system for antimicrobial stewardship
Heard, K. L., Hughes, S., Mughal, N., Azadian, B. S., & Moore, L. S. P. (2019) · Antimicrobial Resistance and Infection Control · doi:10.1186/s13756-019-0496-4 · Cited by 22 · see citing works
Bousquet, J. (2019) · European Respiratory Journal · doi:10.1183/13993003.00339-2019 · Cited by 22 · see citing works
Hughes, J. H., Woo, K., Keizer, R. J., & Goswami, S. (2022) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.2799 · Cited by 18 · see citing works
Impacts and Risks of Adopting Clinical Decision Support Systems
Bonney, W. (2011) · InTeh eBooks · doi:10.5772/16265 · Cited by 14 · see citing works
Zhang, X., Svec, M., Tracy, R., & Ozanich, G. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104626 · Cited by 14 · see citing works
COVID‐opt‐aiNet : A clinical decision support system for COVID ‐19 detection
Kanwal, S., Khan, F. A., Alamri, S., Dashtipur, K., & Gogate, M. (2022) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22695 · Cited by 14 · see citing works
Lobach, D. F., Kawamoto, K., Anstrom, K. J., Silvey, G. M., Willis, J. M., Johnson, F. S., Edwards, R., Simo, J., Phillips, P., Crosslin, D. R., et al. (2013) · Journal of Medical Systems · doi:10.1007/s10916-012-9922-3 · Cited by 12 · see citing works
Does Intraoperative Artificial Intelligence Decision Support Pose Ethical Issues?
Binkley, C. E., & Green, B. P. (2021) · JAMA Surgery · doi:10.1001/jamasurg.2021.2055 · Cited by 11 · see citing works
Artificial intelligence could bring relevant guidelines into every consultation
Manning, C. L. (2019) · BMJ · doi:10.1136/bmj.l4788 · Cited by 10 · see citing works
Prades, J., Coll-Ortega, C., Lago, L. D., Goffin, K. E., Javor, E., Lombardo, C., Munter, J. D., Ponce, J., Regge, D., Salazar, R., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-051181 · Cited by 9 · see citing works
Anticipating and Addressing Challenges During Implementation of Clinical Decision Support Systems
Shah, N. R., Khetpal, V., & Erqou, S. A. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.46528 · Cited by 7 · see citing works
Scalable hypertension management tools in communities based on novel technologies in China
Hu, S. (2022) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2022.100619 · Cited by 2 · see citing works
Artificial intelligence may not recognise the nuances of general practice
Hopcroft, K. (2018) · BMJ · doi:10.1136/bmj.k5205 · Cited by 1 · see citing works
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- [57]Kim KM, Yefimova M, Lin FV, et al. A home-recovery surgical care model using AI-driven measures of activities of daily living. NEJM Catal Innov Care Deliv 2022; 3. 10.1056/CAT.22.0081 · DOI
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Sorted by citations
AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential
Elhaddad, M., & Hamam, S. (2024) · Cureus · doi:10.7759/cureus.57728 · Cited by 301 · see citing works
Abbas, Q., Jeong, W., & Lee, S. W. (2025) · Healthcare · doi:10.3390/healthcare13172154 · Cited by 236 · see citing works
Gala, D., Behl, H., Shah, M., & Makaryus, A. N. (2024) · Healthcare · doi:10.3390/healthcare12040481 · Cited by 206 · see citing works
Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery
Ouanes, K., & Farhah, N. S. (2024) · Journal of Medical Systems · doi:10.1007/s10916-024-02098-4 · Cited by 151 · see citing works
A Comprehensive Survey of Foundation Models in Medicine
Khan, W., Leem, S., See, K. B., Wong, J. K., Zhang, S., & Fang, R. (2025) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2025.3531360 · Cited by 107 · see citing works
Mafe, A. N., Edo, G. I., Akpoghelie, P. O., Gaaz, T., Yousif, E., Zainulabdeen, K., Isoje, E. F., Igbuku, U. A., Opiti, R. A., Abdullahi, Y. G., et al. (2025) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-025-10452-2 · Cited by 58 · see citing works
Bayor, A. A., Li, J., Yang, I. A., & Varnfield, M. (2025) · Journal of Medical Internet Research · doi:10.2196/63733 · Cited by 46 · see citing works
“Additionally, studies have examined the factors affecting CDSS adoption, identifying challenges such as privacy concerns [21], integration issues [22], and quality-in-use limitations [23].”
Alruwaili, A. N., Alshammari, A. M., Alhaiti, A., Elsharkawy, N. B., Ali, S. I., & Ramadan, O. M. E. (2025) · BMC Nursing · doi:10.1186/s12912-025-03044-6 · Cited by 54 · see citing works
Song, J., Wang, X., Wang, B., Ge, Y., Bi, L., Jing, F., Jin, H., Li, T., Gu, B., Wang, L., et al. (2024) · BMJ · doi:10.1136/bmj-2023-079143 · Cited by 35 · 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 34 · see citing works
Large language models for clinical decision support in gastroenterology and hepatology
Wiest, I. C., Bhat, M., Clusmann, J., Schneider, C. V., Jiang, X., & Kather, J. N. (2025) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-025-01108-1 · Cited by 33 · see citing works
Kaiser, K. N., Hughes, A. J., Yang, A. D., Turk, A. A., Mohanty, S., Gonzalez, A. A., Patzer, R. E., Bilimoria, K. Y., & Ellis, R. J. (2024) · Journal of Surgical Oncology · doi:10.1002/jso.27821 · Cited by 29 · see citing works
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As’ad, M., Faran, N., & Joharji, H. (2025) · JMIR AI · doi:10.2196/75866 · Cited by 28 · see citing works
Azadi, A., & García‐Peñalvo, F. J. (2025) · JMIR Human Factors · doi:10.2196/69333 · Cited by 33 · see citing works
Guo, T., Bardhan, I. R., Ding, Y., & Zhang, S. (2024) · Information Systems Research · doi:10.1287/isre.2023.0029 · Cited by 20 · see citing works
Kaiser, K. N., Hughes, A., Yang, A. D., Mohanty, S., Maatman, T., Gonzalez, A. A., Patzer, R. E., Bilimoria, K. Y., & Ellis, R. J. (2025) · Surgery · doi:10.1016/j.surg.2025.109267 · Cited by 19 · see citing works
Ng, Y., Hsu, J. T. Y., ́ng, N. V. H., Ong, J. Z. E., Hsu, J. L. J., Sulaimi, F., Tan, H. K., Tang, A. S. P., & Ng, Q. X. (2025) · Age and Ageing · doi:10.1093/ageing/afaf206 · Cited by 16 · see citing works
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Mitra, U., & Rehman, S. U. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-7277-7.ch003 · Cited by 16 · see citing works
Tung, J. Y. M., Quan, L. M., Yao, J., Huang, Y., Lim, D. Y. Z., Sng, G. G. R., Lau, R. S. E., Tan, Y. G., Chen, K., Tay, K. J., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/78393 · Cited by 15 · see citing works
Berkhout, M., Smit, K., Sent, D., Kusters, R. R., Versendaal, J., & van Houwelingen, T. (2025) · Journal of Medical Internet Research · doi:10.2196/76025 · Cited by 13 · see citing works
Hack, S., Attal, R., Yogev, D., Alsleibi, S., Gvili, B., Shahal, D., & Glikson, E. (2025) · Family Practice · doi:10.1093/fampra/cmaf087 · 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 13 · see citing works
Alam, A., Shah, S. S., Rabbani, S. A., & El‐Tanani, M. (2025) · BioMedInformatics · doi:10.3390/biomedinformatics5040065 · Cited by 16 · see citing works
Sen, A., Mohanraj, P. S., Laxmi, V., Ashique, S., Vasudevan, R., Aldahish, A. A., Velu, A., Das, A., Ehsan, I., Islam, A., et al. (2025) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2025.101305 · Cited by 13 · see citing works
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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
Harshith, M., Ansari, Z. A., Fatima, S., Siddiqui, S., Swarna, S., Reddy, D. R. N., & Mohsin, S. W. (2026) · Scientific Reports · doi:10.1038/s41598-026-39837-1 · Cited by 11 · see citing works
Patel, S. J., Yousuf, S., Padala, J. V., Reddy, S., Saraf, P., Nooh, A., Gutierrez, L., Abdirahman, A. H., Tanveer, R., & Rai, M. (2024) · Cureus · doi:10.7759/cureus.60119 · Cited by 11 · see citing works
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Pandav, K. B., Nasser, S. A., Kimball, K. H., Higgins, K. A., & Madabhushi, A. (2025) · JCO Oncology Practice · doi:10.1200/op-24-00797 · Cited by 11 · see citing works
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Borgonovo, F., Matsuo, T., Petri, F., Amin Alavi, S. M., Mazudie Ndjonko, L. C., Gori, A., & Berbari, E. F. (2025) · Mayo Clinic Proceedings: Digital Health · doi:10.1016/j.mcpdig.2025.100230 · Cited by 10 · see citing works
Nikolaev, V. A., & Nikolaev, A. A. (2024) · Life · doi:10.3390/life14091059 · Cited by 9 · see citing works
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Bertie, L., McDermott, E. A., Quiroz, J. C., & Hudson, J. L. (2025) · Current Psychology · doi:10.1007/s12144-025-07365-2 · Cited by 9 · see citing works
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Verma, A. K., Singh, K., Gupta, J. K., Kumar, S., & Jain, D. (2025) · Recent Patents on Biotechnology · doi:10.2174/0118722083359334250116063638 · Cited by 9 · see citing works
Geracitano, J., Anderson, B., Coffel, M., Rosenzweig, M., Dorn, S. D., Khairat, S., & Conklin, J. (2025) · Advances in Health Information Science and Practice · doi:10.63116/vxul2925 · Cited by 10 · see citing works
Chinnaiah, M. (2025) · International Journal Of Scientific Advances · doi:10.51542/ijscia.v6i2.22 · Cited by 8 · see citing works
Nzeako, T. R., Elendu, C., Echefu, G. C., Olanisa, O., Kiladejo, A., & Bob-Manuel, E. D. (2025) · Annals of Medicine and Surgery · doi:10.1097/ms9.0000000000003602 · Cited by 9 · see citing works
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Alagiakrishnan, K., Halverson, T., Olivares, D. V. F., & Sadowski, C. A. (2026) · Journal of Personalized Medicine · doi:10.3390/jpm16040182 · Cited by 10 · see citing works
Cattin, M., Datchoua, A. M., Yakam, V. F., Kenfack, B., Petignat, P., Thiran, J., Schönenberger, K., & Schmidt, N. C. (2024) · JMIR Cancer · doi:10.2196/50124 · Cited by 7 · 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
Tay, Y. X., Wee, C. P. J., Ong, M. E. H., Foley, S. J., Chen, R. C., Chan, L. P., Killeen, R. P., Chua, I. S. Y., & McNulty, J. P. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.105966 · Cited by 7 · see citing works
Thorakkattil, S. A., Sridhar, S. B., Abdulsalim, S., Karattuthodi, M. S., Chandra, P., & Unnikrishnan, M. K. (2025) · Healthcare · doi:10.3390/healthcare13172220 · Cited by 7 · see citing works
Fan, Y., Guo, X., Zhang, C., Huang, T., Huang, H.-D., & He, Y. (2025) · Phytomedicine · doi:10.1016/j.phymed.2025.157647 · Cited by 7 · see citing works
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Souza, F. L., Bowman, H., Yang, F., Hesam‐Shariati, N., Linke, J., Gilanyi, Y. L., Jones, M. D., Z‐Pinto, R., McAuley, J. H., & Rizzo, R. R. N. (2025) · European Journal of Pain · doi:10.1002/ejp.70016 · Cited by 7 · see citing works
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Andigema, A. S., Cyrielle, N. N. T., Mafo, L. D., & Ekwelle, E. (2024) · Preprints.org · doi:10.20944/preprints202403.1610.v1 · Cited by 7 · see citing works
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Yen, C., Epling, J. W., Rockwell, M., & Vaughn-Cooke, M. (2026) · Diagnostics · doi:10.3390/diagnostics16020347 · Cited by 6 · see citing works
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Badiger, M., Adiga, S., Naik, A., Shetty, S., B., S. A., Mehnaz, F., & Singh, C. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-7277-7.ch001 · Cited by 6 · see citing works
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Bharmal, A. R. (2025) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit25111233 · Cited by 6 · see citing works
Deng, X., Liu, L., Peng, T., & Zhang, S. (2025) · Nursing in Critical Care · doi:10.1111/nicc.70112 · Cited by 6 · see citing works
Cooley, M. E., Lenert, L. A., Abrahm, J. L., & Lobach, D. F. (2025) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2025.151937 · Cited by 6 · see citing works
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Seckel, M. A., & Lejnieks, J. D. (2025) · Critical Care Nurse · doi:10.4037/ccn2025240 · Cited by 6 · see citing works
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Chi, J., Zhong, C., Tang, J., Guo, B., Zhang, Y., Deng, S., Guo, Z., & Wu, Y. (2025) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2025.105317 · Cited by 7 · see citing works
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Varzideh, F., Mone, P., Kansakar, U., Pande, S., Jankauskas, S. S., & Santulli, G. (2026) · Hypertension · doi:10.1161/hypertensionaha.126.26094 · Cited by 6 · see citing works
Palermi, S., Pucciatti, R., Regnard, N.-E., Guermazi, A., Araujo, F., Demeco, A., Mekki, Y. M., D’Antona, G., Guarnera, A., Cerciello, S., et al. (2026) · Diagnostics · doi:10.3390/diagnostics16101448 · Cited by 6 · see citing works
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Lund, A., Denicolo, K., Tomko, S., Jones, R. C., Stephen, R. J., Olsen, M. H., Sarmiento, J., Jones, S., DiVenere, E., Sullivan, N., et al. (2025) · PEDIATRICS · doi:10.1542/peds.2024-065901 · Cited by 6 · see citing works
Ashwathykutty, V., Payyappallimana, U., & Narayanan, V. R. (2025) · Journal of Ayurveda and Integrative Medicine · doi:10.1016/j.jaim.2025.101201 · Cited by 5 · see citing works
Lipschuetz, M., & Topaz, M. (2026) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2026.105369 · Cited by 6 · see citing works
eHealth in pediatric respiratory allergy
Pais‐Cunha, I., Jácome, C. I. O., Vieira, R. J., Sousa‐Pinto, B., & Fonseca, J. (2024) · Current Opinion in Allergy and Clinical Immunology · doi:10.1097/aci.0000000000001027 · Cited by 5 · see citing works
AlHussainan, A., & Alhuwail, D. (2025) · JMIR Medical Informatics · doi:10.2196/70782 · Cited by 4 · see citing works
Thompson, E. L., Luningham, J. M., Alkhatib, S. A., Grace, J., Akpan, I. N., Daley, E. M., Zimet, G. D., & Wheldon, C. W. (2024) · Medical Decision Making · doi:10.1177/0272989x241305142 · Cited by 4 · see citing works
Li, Y., Li, X., Huang, J., & Cai, H. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1570878 · Cited by 3 · see citing works
Olariu, M.-E., Burlacu, A., Brinza, C., & Iftene, A. (2025) · Future Cardiology · doi:10.1080/14796678.2025.2573566 · Cited by 4 · see citing works
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Abdul‐Hafez, H. A., Alsabri, M., Omran, J. A., Zayed, A., Karimi, H., Tsoi, V., Okaruefe, C. O., & Carr, L. A. (2025) · Current Treatment Options in Pediatrics · doi:10.1007/s40746-025-00333-9 · Cited by 4 · see citing works
Gupta, P., Chaudhary, R., & Goel, F. (2026) · Journal of Holistic Integrative Pharmacy · doi:10.1016/j.jhip.2026.02.007 · Cited by 4 · see citing works
Šafran, V., Smrke, U., Ilijevec, B., Horvat, S., Flis, V., Plohl, N., & Mlakar, I. (2025) · Digital Health · doi:10.1177/20552076251339012 · Cited by 4 · see citing works
Sulek, R., Robertson, J., Goodall, E., Liew, A. W., Pillar, S. V., Upson, G. S., Whitehouse, A., Wicks, R., & Trembath, D. L. (2024) · Advances in Neurodevelopmental Disorders · doi:10.1007/s41252-024-00410-4 · Cited by 4 · see citing works
Michalowski, M., Szymon Wilk, A., Bauer, J. M., Carrier, M., Delluc, A., Gal, G. L., Wang, T., Siegal, D. M., & Michalowski, W. J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-66535-6_33 · Cited by 5 · see citing works
Yadav, M., Singh, P. K., Gochhait, S., Gaur, N., & Wijethilaka, P. G. D. (2024) · Advances in medical diagnosis, treatment, and care (AMDTC) book series · doi:10.4018/979-8-3693-1243-8.ch006 · Cited by 4 · see citing works
Gudzune, K. A., Schwartz, J. L., Olsson, K., Almazan, E., Beck, T. G., Ghosh, J., Bennett, W. L., & Clark, J. M. (2025) · Obesity Science & Practice · doi:10.1002/osp4.70056 · Cited by 4 · see citing works
Barrett, J. S., & Turner, M. A. (2025) · Therapeutic Innovation & Regulatory Science · doi:10.1007/s43441-025-00793-z · Cited by 4 · see citing works
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Sánchez, A. R. P., Vos, K., van Hall, O., Bultink, I. E. M., Tsang-A-Sjoe, M. W. P., Voskuyl, A. E., & van Vollenhoven, R. (2025) · Lupus Science & Medicine · doi:10.1136/lupus-2025-001605 · Cited by 3 · see citing works
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Riahi, A., Yazdani, M. S., Eshraghi, R., Houyeh, M. K., Bahrami, A., Khoshdooz, S., Amini, M., Behzadi, E., Khalaji, A., Taba, S. M. M., et al. (2025) · Critical Care Research and Practice · doi:10.1155/ccrp/9031137 · Cited by 4 · see citing works
Qiyu, M. L., Horsaengchai, W., Horsaengchai, P., & Malik, Q. (2025) · Exploration of Asthma & Allergy · doi:10.37349/eaa.2025.100992 · Cited by 3 · see citing works
Ghorbankhani, M., & Safara, M. (2025) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2025.103320 · Cited by 5 · see citing works
Kemp, J., Shin, H. D., Pape, C., Lee, A., Bahri, B., Wang, W., Ling, S., & Strudwick, G. (2025) · Applied Clinical Informatics · doi:10.1055/a-2750-4422 · Cited by 3 · see citing works
Baykemagn, N. D., Nigatu, A. M., Endehabtu, B. F., & Tilahun, B. C. (2024) · Digital Health · doi:10.1177/20552076241261930 · Cited by 4 · see citing works
Factors Guiding Clinical Decision‐Making in Genitourinary Oncology
Wosny, M., Aeppli, S., Fischer, S., Peres, T., Rothermundt, C. A., & Hastings, J. (2024) · Cancer Medicine · doi:10.1002/cam4.70304 · Cited by 3 · see citing works
Mustafa, U.-K., Sauli, E., Kreppel, K. S., Boenecke, J., & Brinkel, J. (2025) · BMC Public Health · doi:10.1186/s12889-025-23286-y · Cited by 3 · see citing works
Wang, Y., Griva, A., & Hassan, U. U. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.106219 · Cited by 3 · see citing works
Self-citationTraditional and advanced AI methods used in the area of neuro-oncology
Panda, S., Biswal, S. S., Rath, S. S., & Saxena, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-18509-0.00008-6 · Cited by 3 · see citing works
Kostiuk, M. A., Moore, S. L., Kramer, E. S., Gilens, J. F., Sarwal, A., Saxon, D. R., Thomas, J. F., & Oser, T. K. (2025) · JMIR Research Protocols · doi:10.2196/62916 · Cited by 4 · see citing works
Pisciotta, M., Morrissey, S. E., Bunce, A., Gottlieb, L. M., Donovan, J., Watkins, S. L., Middendorf, M., Sheppler, C. R., Edelmann, A. C., & Gold, R. B. (2025) · JAMIA Open · doi:10.1093/jamiaopen/ooaf045 · Cited by 4 · see citing works
Khalifa, M., Magrabi, F., & Gallego, B. (2024) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2024.100161 · Cited by 2 · see citing works
Rodrigues, D., Jasmins, C., Ladeiras‐Lopes, R., Patrão, L., & Rodrigues, E. F. (2025) · JMIR Human Factors · doi:10.2196/68581 · Cited by 2 · see citing works
Stanton, J. E. D., Stiles, C., Anderson, P., Taylor, R. M., Vindrola‐Padros, C., & Ivany, E. (2025) · Journal of Nursing Care Quality · doi:10.1097/ncq.0000000000000878 · Cited by 2 · see citing works
Agarwal, R., Kumar, T., Rawat, S., & Kaur, H. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1882-0.ch007 · Cited by 2 · see citing works
Kunz, L.-M., Metzger, M., Schaefer, C., Pohlmeier, R., Petrovic, J., & Nosch, M. (2025) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-025-03165-7 · Cited by 2 · see citing works
Amuli, K., Decabooter, K., Germanes, C., Parys, A.-S. V., Verschelde, S., Saey, E., Moulin, M., Cornu, P., Delvaux, N., den Berghe, S. V., et al. (2025) · Midwifery · doi:10.1016/j.midw.2025.104610 · Cited by 2 · see citing works
Tarique, M., Ali, U., & Bang, D. (2025) · Journal of Sensor Science and Technology · doi:10.46670/jsst.2025.34.5.498 · Cited by 2 · see citing works
Gupta, J., Gataa, I. S., Singh, N. S. S., Padmapriya, G., Ray, S., Pal, A., Arora, V., Smerat, A., Abilkasimov, A., & Latipova, M. (2025) · Folia Microbiologica · doi:10.1007/s12223-025-01367-0 · Cited by 2 · see citing works
Gupta, G., Nimbalkar, S., Kumar, R., Singh, P., & Mondal, H. (2026) · The Indian Journal of Pediatrics · doi:10.1007/s12098-025-05884-1 · Cited by 2 · see citing works
Eminoğlu, A., Çelikkanat, Ş., & Bozkurt, Z. N. (2026) · Journal of Pediatric Health Care · doi:10.1016/j.pedhc.2025.12.016 · Cited by 2 · see citing works
Artificial Intelligence-Based Models for Predicting Disease Course Risk Using Patient Data
Chowdhury, R. I., Bari, W., Hasan, M. T., Hossain, Z., & Rahman, M. (2026) · Computers · doi:10.3390/computers15020113 · Cited by 2 · see citing works
Karnwal, A., Nesterova, N., Saklani, N., Rehman, A.-U., Pant, G., Garg, N., Mishra, S., Ghorai, T. K., Kumar, G., & Kumar, D. (2026) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2026.101769 · Cited by 4 · see citing works
Pawade, Y., & Bhoyar, A. (2026) · Laboratory Medicine · doi:10.1093/labmed/lmag032 · Cited by 2 · see citing works
Artificial intelligence in respiratory medicine: From diagnosis to treatment and future directions
Chen, Z., Tang, Z., Ewing, R. M., Belkhatir, Z., & Wang, Y. (2026) · Chinese Medical Journal - Pulmonary and Critical Care Medicine · doi:10.1016/j.pccm.2026.05.005 · Cited by 2 · see citing works
Self-citationCurrent Advances in Patient-Perceived Quality Assessment Within Romanian Healthcare
Bancsik, K., Daina, M. D., Ghitea, T. C., Bancsik, R., & Daina, L. (2024) · Cureus · doi:10.7759/cureus.70111 · Cited by 2 · see citing works
Sappor, E. E., & Chakraborty, R. (2025) · Hospitals · doi:10.3390/hospitals2010001 · Cited by 2 · see citing works
Jayeoba, M., Scherr, C. L., Carroll, A. J., Daly, E., Kerstiens, S., Phillips, S. M., Hitsman, B. L., Garcia, S. F., Spring, B. J., & Jacobs, M. L. (2025) · Journal of Medical Internet Research · doi:10.2196/65975 · Cited by 2 · see citing works
Shaikh, M. F. W., Mama, M. S., Proddaturi, S. H., Vidal, J., Gnanasekaran, P., Kumar, M. S., Clarke, C. J., Reddy, K. S., Bello, H. M., Raquib, N., et al. (2025) · Cureus · doi:10.7759/cureus.81332 · Cited by 2 · see citing works
Raj, M., Peters, H., Terán-Garcı́a, M., Khan, N. A., Zhou, F., Gatzke, L., & Brooks, I. S. (2025) · JAMIA Open · doi:10.1093/jamiaopen/ooaf043 · Cited by 2 · see citing works
Berkhout, M., van Barneveld, A., Smit, K., & van Houwelingen, T. (2025) · Bled eConference · doi:10.18690/um.fov.4.2025.22 · Cited by 2 · see citing works
- Authors
- Chen, Z., Liang, N., Zhang, H., Li, H., Yang, Y., Zong, X., Chen, Y., Wang, Y., & Shi, N.
- Affiliations
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
- China Academy of Chinese Medical Sciences (CN)
- Corresponding author
- Wang, Yanping
- Shi, Nannan
- Venue
- Open Heart
- Publisher
- BMJ
- Published
- 2023-11
- Volume
- 10
- Issue
- 2
- Pages
- e002432
- ISSN
- 2053-3624 (ISSN-L)
- PMC
- PMC10685930
- OpenAlex
- W4389101129
- Cited by
- 244
- References
- 121
- Citations by year
- 2026: 89 · 2025: 120 · 2024: 35
- FWCI
- 9.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Open Heart (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- China Academy of Chinese Medical Sciences Independent Selection Project (Z0830)
- Institute of Basic Research in Clinical Medicine Independent Selection Project, China Academy of Chinese Medical Sciences (Z0830-1)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- clinical decision support systems, evidence-based recommendations, medical errors, clinical efficiency, data privacy, system integration, clinician acceptance, point-of-care decision support, patient outcomes
- MeSH terms
- Delivery of Health Care, Humans, 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.
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