Medication-related clinical decision support in computerized provider order entry systems: a review
Open accessAbstract
While medications can improve patients' health, the process of prescribing them is complex and error prone, and medication errors cause many preventable injuries. Computer provider order entry (CPOE) with clinical decision support (CDS), can improve patient safety and lower medication-related costs. To realize the medication-related benefits of CDS within CPOE, one must overcome significant challenges. Healthcare organizations implementing CPOE must understand what classes of CDS their CPOE systems can support, assure that clinical knowledge underlying their CDS systems is reasonable, and appropriately represent electronic patient data. These issues often influence to what extent an institution will succeed with its CPOE implementation and achieve its desired goals. Medication-related decision support is probably best introduced into healthcare organizations in two stages, basic and advanced. Basic decision support includes drug-allergy checking, basic dosing guidance, formulary decision support, duplicate therapy checking, and drug-drug interaction checking. Advanced decision support includes dosing support for renal insufficiency and geriatric patients, guidance for medication-related laboratory testing, drug-pregnancy checking, and drug-disease contraindication checking. In this paper, the authors outline some of the challenges associated with both basic and advanced decision support and discuss how those challenges might be addressed. The authors conclude with summary recommendations for delivering effective medication-related clinical decision support addressed to healthcare organizations, application and knowledge base vendors, policy makers, and researchers.
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?
Medication-related CDS is especially useful.
“and medication-related CDS is especially useful. 2”
From Overrides of medication-related clinical decision support alerts in outpatients (2014) · cites this paper as [2]
The complexities of prescribing CDSSs and current technology mean most organizations will probably gain only moderate benefits from implementing such systems.
“The complexities relating to CDSSs for prescribing and the state of current technology means that most organizations will probably only realize moderate benefits from the implementation of such systems.4”
From Computerized clinical decision support for prescribing: provision does not guarantee uptake (2010) · cites this paper as [4]
The challenge of implementing effective decision support for prescribing, and specifically alert fatigue, is international.
“Our study was UK-based, although the challenge of implementing effective decision support for prescribing, and specifically the problem of alert fatigue, is international.12 24 50”
From ‘Too much, too late’: mixed methods multi-channel video recording study of computerized decision support systems and GP prescribing (2013) · cites this paper as [12]
Excessive alerts, especially when procedural and cost information are added to safety alerts, may be counterproductive because they cause user fatigue.
“excessive alerts, exacerbated in contemporary practice when procedural information and cost advice are provided in addition to safety alerts, may be counterproductive as they lead to user fatigue.12 20”
From ‘Too much, too late’: mixed methods multi-channel video recording study of computerized decision support systems and GP prescribing (2013) · cites this paper as [12]
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
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
Incidence of Adverse Drug Events and Potential Adverse Drug Events: Implications for Prevention
Bates, D. W. (1995) · JAMA · doi:10.1001/jama.1995.03530010043033 · Cited by 2,127 · see citing works
Self-citationRole of Computerized Physician Order Entry Systems in Facilitating Medication Errors
Koppel, R. (2005) · JAMA · doi:10.1001/jama.293.10.1197 · Cited by 2,126 · see citing works
Medication Errors and Adverse Drug Events in Pediatric Inpatients
Kaushal, R. (2001) · JAMA · doi:10.1001/jama.285.16.2114 · Cited by 1,917 · see citing works
Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1471 · Cited by 1,789 · see citing works
Improving Safety with Information Technology
Bates, D. W., & Gawande, A. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa020847 · Cited by 1,544 · see citing works
Self-citationSystems Analysis of Adverse Drug Events
Leape, L. L. (1995) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1995.03530010049034 · Cited by 1,404 · see citing works
Adverse Drug Events in Ambulatory Care
Gandhi, T. K., Weingart, S. N., Borus, J. S., Seger, A. C., Peterson, J. F., Burdick, E., Seger, D. L., Shu, K. M., Federico, F. A., Leape, L. L., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa020703 · Cited by 1,371 · see citing works
Self-citationBates, 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
Self-citationThe Impact of Computerized Physician Order Entry on Medication Error Prevention
Bates, D. W., Teich, J. M., Lee, J., Seger, D., Kuperman, G. J., Ma'Luf, N., Boyle, D., & Leape, L. (1999) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1999.00660313 · Cited by 1,260 · see citing works
Self-citationOverriding of Drug Safety Alerts in Computerized Physician Order Entry
van der Sijs, H., Aarts, J., Vulto, A., & Berg, M. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1809 · Cited by 1,117 · see citing works
A Computer-Assisted Management Program for Antibiotics and Other Antiinfective Agents
Evans, R. S., Pestotnik, S. L., Classen, D. C., Clemmer, T. P., Weaver, L. K., Orme, J. F., Lloyd, J. F., & Burke, J. P. (1998) · New England Journal of Medicine · doi:10.1056/nejm199801223380406 · Cited by 1,060 · see citing works
Self-citationFactors Related to Errors in Medication Prescribing
Lesar, T. S. (1997) · JAMA · doi:10.1001/jama.1997.03540280050033 · Cited by 734 · see citing works
A COMPUTER-ASSISTED MANAGEMENT PROGRAM FOR ANTIBIOTICS AND OTHER ANTIINFECTIVE AGENTS
Vans, R. S. C. E., Estotnik, S. T. L. P., Lassen, D. A. C. C., Lemmer, T., Eaver, L. I. K. W., Rme, J. A. F. O., Loyd, J. A. F. L., & Urke, J. O. P. B. (1998) · Cited by 692 · see citing works
Comparison of an Anticoagulation Clinic With Usual Medical Care
Chiquette, E., Amato, M. G., & Bussey, H. I. (1998) · Archives of Internal Medicine · doi:10.1001/archinte.158.15.1641 · Cited by 598 · see citing works
Physicians' Decisions to Override Computerized Drug Alerts in Primary Care
Weingart, S. N., Toth, M., Sands, D. Z., Aronson, M. D., Davis, R. B., & Phillips, R. S. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.21.2625 · Cited by 487 · see citing works
Effects of Computerized Physician Order Entry on Prescribing Practices
Teich, J. M., Merchia, P., Schmiz, J. L., Kuperman, G. J., Spurr, C. D., & Bates, D. W. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.18.2741 · Cited by 475 · see citing works
Self-citationGuided Medication Dosing for Inpatients With Renal Insufficiency
Chertow, G. M. (2001) · JAMA · doi:10.1001/jama.286.22.2839 · Cited by 447 · see citing works
Risk Factors for Adverse Drug Events Among Nursing Home Residents
Field, T. S., Gurwitz, J. H., Avorn, J., McCormick, D., Jain, S., Eckler, M., Benser, M. E., & Bates, D. W. (2001) · Archives of Internal Medicine · doi:10.1001/archinte.161.13.1629 · Cited by 412 · see citing works
Self-citationMedication Prescribing Errors in a Teaching Hospital
Lesar, T. S. (1990) · JAMA · doi:10.1001/jama.1990.03440170051035 · Cited by 397 · see citing works
Medication Error Prevention by Clinical Pharmacists in Two Children's Hospitals
Folli, H. L., Poole, R. L., Benitz, W. E., & Russo, J. C. (1987) · PEDIATRICS · doi:10.1542/peds.79.5.718 · Cited by 394 · see citing works
Accuracy of Data in Computer-based Patient Records
Hogan, W. R., & Wagner, M. M. (1997) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1997.0040342 · Cited by 389 · see citing works
Gleason, K. M., Groszek, J. M., Sullivan, C., Rooney, D. M., Barnard, C., & Noskin, G. A. (2004) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/61.16.1689 · Cited by 382 · see citing works
A Randomized Trial of "Corollary Orders" to Prevent Errors of Omission
Overhage, J. M., Tierney, W. M., Zhou, X., & McDonald, C. J. (1997) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1997.0040364 · Cited by 375 · see citing works
High Rates of Adverse Drug Events in a Highly Computerized Hospital
(2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.10.1111 · Cited by 363 · see citing works
The Epidemiology of Prescribing Errors: The Potential Impact of Computerized Prescriber Order Entry
Bobb, A., Gleason, K., Husch, M., Feinglass, J., Yarnold, P. R., & Noskin, G. A. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.7.785 · Cited by 359 · see citing works
Self-citationImproving Acceptance of Computerized Prescribing Alerts in Ambulatory Care
Shah, N. R., Seger, A. C., Seger, D. L., Fiskio, J. M., Kuperman, G. J., Blumenfeld, B., Recklet, E. G., Bates, D. W., & Gandhi, T. K. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1868 · Cited by 353 · see citing works
Self-citationBates, D. W., Kuperman, G. J., Rittenberg, E., Teich, J. M., Fiskio, J., Ma’luf, N., Onderdonk, A., Wybenga, D., Winkelman, J., Brennan, T. A., et al. (1999) · The American Journal of Medicine · doi:10.1016/s0002-9343(98)00410-0 · Cited by 292 · see citing works
Self-citationMonitoring in chronic disease: a rational approach
Glasziou, P., Irwig, L., & Mant, D. (2005) · BMJ · doi:10.1136/bmj.330.7492.644 · Cited by 256 · see citing works
Medication-Prescribing Errors in a Teaching Hospital
Lesar, T. S. (1997) · Archives of Internal Medicine · doi:10.1001/archinte.1997.00440350075007 · Cited by 256 · see citing works
Outpatient prescribing errors and the impact of computerized prescribing
Gandhi, T. K., Weingart, S. N., Seger, A. C., Borus, J. S., Burdick, E., Poon, E. G., Leape, L. L., & Bates, D. W. (2005) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2005.0194.x · Cited by 256 · see citing works
Self-citationHsieh, T. C., Kuperman, G. J., Jaggi, T., Hojnowski-Diaz, P., Fiskio, J., Williams, D. H., Bates, D. W., & Gandhi, T. K. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1556 · Cited by 232 · see citing works
Self-citationHoward, R. L. (2003) · BMJ Quality & Safety · doi:10.1136/qhc.12.4.280 · Cited by 230 · see citing works
Reducing Vancomycin Use Utilizing a Computer Guideline: Results of a Randomized Controlled Trial
Shojania, K. G., Yokoe, D. S., Platt, R. G., Fiskio, J. M., Ma'Luf, N., & Bates, D. W. (1998) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1998.0050554 · Cited by 211 · see citing works
Self-citationNightingale, P. (2000) · BMJ · doi:10.1136/bmj.320.7237.750 · Cited by 196 · see citing works
Patient Safety and Computerized Medication Ordering at Brigham and Women’s Hospital
Kuperman, G. J., Teich, J. M., Gandhi, T. K., & Bates, D. W. (2001) · The Joint Commission Journal on Quality Improvement · doi:10.1016/s1070-3241(01)27045-x · Cited by 155 · see citing works
Self-citationMiller, R. A., Waitman, L. R., Chen, S., & Rosenbloom, S. T. (2005) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2005.08.009 · Cited by 144 · see citing works
Guided Prescription of Psychotropic Medications for Geriatric Inpatients
Peterson, J. F., Kuperman, G. J., Shek, C., Patel, M., Avorn, J., & Bates, D. W. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.7.802 · Cited by 132 · see citing works
Self-citationCharacteristics and override rates of order checks in a practitioner order entry system.
Payne, T. H., Nichol, W. P., Hoey, P., & Savarino, J. E. (2002) · PubMed Central · Cited by 129 · see citing works
Self-citationThe Accuracy of Medication Data in an Outpatient Electronic Medical Record
Wagner, M. M., & Hogan, W. R. (1996) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1996.96310637 · Cited by 124 · see citing works
Improving allergy alerting in a computerized physician order entry system.
Abookire, S. A., Teich, J. M., Sandige, H. L., Paterno, M. D., Martin, M. T., Kuperman, G. J., & Bates, D. W. (2000) · PubMed Central · Cited by 120 · see citing works
Self-citationPreventable Medication Errors: Identifying and Eliminating Serious Drug Interactions
Peterson, J. F., & Bates, D. O. (2001) · Journal of the American Pharmaceutical Association (1996) · doi:10.1016/s1086-5802(16)31243-8 · Cited by 106 · see citing works
Self-citationTenfold Medication Dose Prescribing Errors
Lesar, T. S. (2002) · Annals of Pharmacotherapy · doi:10.1345/aph.1c032 · Cited by 101 · see citing works
Appropriateness of Antiepileptic Drug Level Monitoring
Schoenenberger, R. A. (1995) · JAMA · doi:10.1001/jama.1995.03530200058038 · Cited by 99 · see citing works
Chen, Y., Avery, A. J., Neil, K. E., Johnson, C., Dewey, M. E., & Stockley, I. H. (2005) · Drug Safety · doi:10.2165/00002018-200528010-00005 · Cited by 96 · see citing works
Self-citationAdherence to Black Box Warnings for Prescription Medications in Outpatients
Lasser, K. E., Seger, D. L., Yu, D., et al. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.3.338 · Cited by 82 · see citing works
How to Design Computerized Alerts to Ensure Safe Prescribing Practices
Feldstein, A. C., Simon, S. R., Schneider, J. P., Krall, M., Laferriere, D. S., Smith, D. H., Sittig, D. F., & Soumerai, S. B. (2004) · The Joint Commission Journal on Quality and Safety · doi:10.1016/s1549-3741(04)30071-7 · Cited by 81 · see citing works
Chen, P., Tanasijevic, M. J., Schoenenberger, R. A., Fiskio, J. M., Kuperman, G. J., & Bates, D. W. (2003) · American Journal of Clinical Pathology · doi:10.1309/a96xu9yku298hb2r · Cited by 81 · see citing works
Self-citationKuperman, G. J., Reichley, R. M., & Bailey, T. C. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2055 · Cited by 78 · see citing works
Self-citationLarge Errors in the Dosing of Medications for Children
Kozer, E., Scolnik, D., Keays, T., Shi, K. X., Luk, T., & Koren, G. (2002) · New England Journal of Medicine · doi:10.1056/nejm200204113461518 · Cited by 71 · see citing works
Conversion From Intravenous to Oral Medications
Fischer, M. A., Solomon, D. H., Teich, J. M., & Avorn, J. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.21.2585 · Cited by 71 · see citing works
Clinical Relevance of Automated Drug Alerts From the Perspective of Medical Providers
Spina, J. R., Glassman, P. A., Belperio, P. S., Cader, R., Asch, S. M., & Primary Care Investigative Group of the VA Los Angeles Healthcare System (2005) · American Journal of Medical Quality · doi:10.1177/1062860604273777 · Cited by 64 · see citing works
A Research Agenda For Bridging The ‘Quality Chasm’
Fernandopulle, R., Ferris, T. G. G., Epstein, A. M., McNeil, B. J., Newhouse, J. P., Pisano, G. P., & Blumenthal, D. (2003) · Health Affairs · doi:10.1377/hlthaff.22.2.178 · Cited by 59 · see citing works
(2002) · PubMed Central · Cited by 53 · see citing works
Effective drug-allergy checking: methodological and operational issues
Kuperman, G. J., Gandhi, T. K., & Bates, D. W. (2003) · Journal of Biomedical Informatics · doi:10.1016/s1532-0464(03)00063-7 · Cited by 53 · see citing works
Self-citationEvaluating the Appropriateness of Digoxin Level Monitoring
Cañas, F., Tanasijevic, M. J., Ma'luf, N., & Bates, D. W. (1999) · Archives of Internal Medicine · doi:10.1001/archinte.159.4.363 · Cited by 51 · see citing works
Self-citationCreating an enterprise-wide allergy repository at Partners HealthCare System.
Kuperman, G. J., Marston, E., Paterno, M. D., Rogala, J., Plaks, N., Hanson, C., Blumenfeld, B. H., Blackford Middleton, A., Spurr, C., Kaushal, R., et al. (2003) · PubMed · Cited by 41 · see citing works
Self-citationTo What Extent Do Pediatricians Accept Computer-Based Dosing Suggestions?
Killelea, B. K., Kaushal, R., Cooper, M. R., et al. (2007) · PEDIATRICS · doi:10.1542/peds.2006-1388 · Cited by 38 · see citing works
Empirical Derivation of an Electronic Clinically Useful Problem Statement System
Brown, S. H., Miller, R. A., Camp, H. N., et al. (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-131-2-199907200-00008 · Cited by 32 · see citing works
Automated coded ambulatory problem lists: evaluation of a vocabulary and a data entry tool
Wang, S. J., Bates, D. W., Chueh, H. C., et al. (2003) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2003.08.002 · Cited by 31 · see citing works
Self-citationPharmacist interventions in electronic drug orders entered by prescribers
Fair, M., & Pane, F. J. (2004) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/61.12.1286 · Cited by 20 · see citing works
Igboechi, C. A., Ng, C. L., Yang, C. S., & Buckner, A. N. (2003) · Hospital Pharmacy · doi:10.1177/001857870303800314 · Cited by 19 · see citing works
Pharmacist interventions after implementation of computerized prescriber order entry
Senholzi, C. S., & Gottlieb, J. (2003) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/60.18.1880 · Cited by 14 · see citing works
Customizing a commercial rule base for detecting drug-drug interactions.
Resetar, E., Reichley, R. M., Noirot, L. A., et al. (2005) · PubMed · Cited by 11 · see citing works
Managing the alert process at NewYork-Presbyterian Hospital.
Kuperman, G. J., Diamente, R., Khatu, V., et al. (2005) · PubMed · Cited by 7 · see citing works
Self-citationAtreja, A., Buck, M., Jain, A., et al. (2005) · PubMed · Cited by 5 · see citing works
Implementing renal impairment and geriatric decision support in ambulatory e-prescribing.
Palchuk, M. B., Seger, D. L., Alexeyev, A., Macauley, R., Seger, A. C., Recklet, E. G., & Gandhi, T. K. (2005) · Europe PMC (PubMed Central) · Cited by 5 · see citing works
Self-citationPharmacy Issues: Clinical Screenings and Discharge Prescriptions
Miller, A. S. (2001) · Hospital Pharmacy · doi:10.1177/001857870103601210 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Joint Formulary Committee. British National Formulary 49th Edition. London, British Medical Association and Royal Phar- maceutical Society of Great Britain: 2005.
- Sipila J, Klaukka T, Martikainen J, Himberg JJ. Occurrence of potentially harmful drug combinations among Finish primary care patients. International Pharmacy Journal. 1995;9:104 -10.
Cited by
Sorted by citations
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
Shickel, B., Tighe, P. J., Bihorac, A., & Rashidi, P. (2018) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2767063 · Cited by 1,688 · see citing works
with the HITEC Investigators, Ancker, J. S., Edwards, A., Nosal, S., Hauser, D., Mauer, E., & Kaushal, R. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0430-8 · Cited by 709 · see citing works
“Integrating CDSS into electronic health records (EHRs) allows medication information to be combined with patient information to create alerts about drug-drug interactions, drug allergy contraindications, and other important situations [3].”
BackgroundComputerized 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
Kesselheim, A. S., Cresswell, K., Phansalkar, S., Bates, D. W., & Sheikh, A. (2011) · Health Affairs · doi:10.1377/hlthaff.2010.1111 · Cited by 277 · see citing works
Self-citationSchedlbauer, A., Prasad, V., Mulvaney, C., Phansalkar, S., Stanton, W., Bates, D. W., & Avery, A. J. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2910 · Cited by 262 · see citing works
Self-citationAyala Solares, J. R., Diletta Raimondi, F. E., Zhu, Y., Rahimian, F., Canoy, D., Tran, J., Pinho Gomes, A. C., Payberah, A. H., Zottoli, M., Nazarzadeh, M., et al. (2020) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103337 · Cited by 247 · see citing works
Phansalkar, S., van der Sijs, H., Tucker, A. D., Desai, A. A., Bell, D. S., Teich, J. M., Middleton, B., & Bates, D. W. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001089 · Cited by 239 · see citing works
Self-citationPhansalkar, S., Edworthy, J., Hellier, E., Seger, D. L., Schedlbauer, A., Avery, A. J., & Bates, D. W. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.005264 · Cited by 226 · see citing works
Self-citationOverrides of medication-related clinical decision support alerts in outpatients
Nanji, K. C., Slight, S. P., Seger, D. L., Cho, I., Fiskio, J. M., Redden, L. M., Volk, L. A., & Bates, D. W. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-001813 · Cited by 219 · see citing works
Self-citationBain, K. T., Holmes, H. M., Beers, M. H., Maio, V., Handler, S. M., & Pauker, S. G. (2008) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2008.01916.x · Cited by 198 · see citing works
Medication-related clinical decision support alert overrides in inpatients
Nanji, K. C., Seger, D. L., Slight, S. P., Amato, M. G., Beeler, P. E., Her, Q. L., Dalleur, O., Eguale, T., Wong, A., Silvers, E. R., et al. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx115 · Cited by 179 · see citing works
Self-citationJacobs, M., He, J., F. Pradier, M., Lam, B., Ahn, A. C., McCoy, T. H., Perlis, R. H., Doshi-Velez, F., & Gajos, K. Z. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445385 · Cited by 177 · see citing works
Drug interaction alert override rates in the Meaningful Use era: No evidence of progress
Bryant, A. D., Fletcher, G. S., & Payne, T. H. (2014) · Applied Clinical Informatics · doi:10.4338/aci-2013-12-ra-0103 · Cited by 172 · see citing works
Self-citationExploring the persistence of paper with the electronic health record
Saleem, J. J., Russ, A. L., Justice, C. F., Hagg, H., Ebright, P. R., Woodbridge, P. A., & Doebbeling, B. N. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.04.001 · Cited by 145 · see citing works
A framework for evaluating the appropriateness of clinical decision support alerts and responses
McCoy, A. B., Waitman, L. R., Lewis, J. B., Wright, J. A., Choma, D. P., Miller, R. A., & Peterson, J. F. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000185 · Cited by 138 · see citing works
Yang, Q., Zimmerman, J., Steinfeld, A., Carey, L., & Antaki, J. F. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858373 · Cited by 105 · see citing works
Legal, Ethical, and Financial Dilemmas in Electronic Health Record Adoption and Use
Sittig, D. F., & Singh, H. (2011) · Pediatrics · doi:10.1542/peds.2010-2184 · Cited by 100 · see citing works
Olakotan, O. O., & Mohd Yusof, M. (2021) · Health Informatics Journal · doi:10.1177/14604582211007536 · Cited by 101 · see citing works
Electronic health record usability, satisfaction, and burnout for family physicians.
Holmgren, A. J., Hendrix, N., Maisel, N., Everson, J., Bazemore, A., Rotenstein, L., Phillips, R. L., & Adler-Milstein, J. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.26956 · Cited by 56 · see citing works
Scheepers-Hoeks, A.-M. J., Grouls, R. J., Neef, C., Ackerman, E. W., & Korsten, E. H. (2013) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2013.05.002 · Cited by 53 · see citing works
Hayward, J., Thomson, F., Milne, H., Buckingham, S., Sheikh, A., Fernando, B., Cresswell, K., Williams, R., & Pinnock, H. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001484 · Cited by 48 · see citing works
Tao, L., Zhang, C., Zeng, L., Zhu, S., Li, N., Li, W., Zhang, H., Zhao, Y., Zhan, S., & Ji, H. (2020) · JMIR Medical Informatics · doi:10.2196/16912 · Cited by 42 · see citing works
Clinician collaboration to improve clinical decision support: the Clickbusters initiative
McCoy, A. B., Russo, E. M., Johnson, K. B., Addison, B., Patel, N., Wanderer, J. P., Mize, D. E., Jackson, J. G., Reese, T. J., Littlejohn, S., et al. (2022) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocac027 · Cited by 41 · see citing works
Decision support and patient safety: the time has come
Hasley, S. K. (2011) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2010.10.901 · Cited by 7 · see citing works
- Authors
- Kuperman, G. J., Bobb, A., Payne, T. H., Avery, A. J., Gandhi, T. K., Burns, G., Classen, D. C., & Bates, D. W.
- Affiliations
- Brigham and Women's Hospital (US)
- Corresponding author
- Kuperman, G. J.
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-01-01
- Volume
- 14
- Issue
- 1
- Pages
- 29-40
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC2215064
- OpenAlex
- W2128124510
- Cited by
- 763
- References
- 68
- Citations by year
- 2026: 10 · 2025: 25 · 2024: 18 · 2023: 24 · 2022: 34 · 2021: 41 · 2020: 39 · 2019: 34 · 2018: 31 · 2017: 35 · 2016: 42 · 2015: 51 · 2014: 44 · 2013: 69 · 2012: 47
- FWCI
- 6.64
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
- Keywords
- computerized physician order entry, medication errors, patient safety, clinical knowledge base, CPOE implementation
- MeSH terms
- Contraindications, Drug Therapy, Computer-Assisted, Pharmaceutical Preparations, Formularies as Topic, Humans, Medication Errors, Medication Systems, Hospital, Decision Support Systems, Clinical, Medical Order Entry Systems
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
