Cited by 324Electronic Health Records SystemsHealthcare Technology and Patient MonitoringAcute Kidney Injury Research

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Effect of Computer-Based Alerts on the Treatment and Outcomes of Hospitalized Patients

Rind, David M.·1994·Archives of Internal Medicine

DOI 10.1001/archinte.1994.00420130107014

Open this paper in CoChat — free account

Abstract

BACKGROUND: Hospital computing systems play an important part in the communication of clinical information to physicians. We sought to determine whether computer-based alerts for hospitalized patients can affect physicians' behavior and improve patients' outcomes. METHODS: We performed a prospective time-series study to determine whether computerized alerts to physicians about rising creatinine levels in hospitalized patients receiving nephrotoxic or renally excreted medications led to more rapid adjustment or discontinuation of those medications, and to determine whether such alerts protected renal function. RESULTS: Laboratory data were observed for 20,228 hospitalizations, with documentation of 1573 events (instances of rising creatinine levels during treatment with a nephrotoxic or renally excreted drug). During the intervention period, doses were adjusted or medications discontinued an average of 21.6 hours sooner after such an event (P < .0001). For patients receiving nephrotoxic medications during the intervention period, the relative risk of serious renal impairment was 0.45 (95% confidence interval, 0.22 to 0.94) as compared with the control period, and the mean serum creatinine level was 14.1 mumol/L (0.16 mg/dL) lower on day 3 (P < .01) and 25.6 mumol/L (0.29 mg/dL) lower on day 7 (P < .05) after an event. Forty-four percent of physicians who responded to a questionnaire said that the alerts had been helpful in the care of their patients, whereas 28% found them annoying. Sixty-five percent wished to continue receiving alerts. CONCLUSIONS: Computer-based alerts regarding patients with rising creatinine levels affect physician behavior, prevent serious renal impairment, preserve renal function, and are accepted by clinicians.

Integrity signals

Registry

Crossref · 10.1001/archinte.1994.00420130107014

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Epidemiology in Medicine
Hennekens, C. H., Buring, J. E., & Mayrent, S. L. (1987) · Medical Entomology and Zoology · Cited by 2,319
Medical Records That Guide and Teach
Weed, L. L. (1968) · New England Journal of Medicine · doi:10.1056/nejm196803142781105 · Cited by 1,003
Protocol-Based Computer Reminders, the Quality of Care and the Non-Perfectability of Man
McDonald, C. J. (1976) · New England Journal of Medicine · doi:10.1056/nejm197612092952405 · Cited by 797
Computerized Surveillance of Adverse Drug Events in Hospital Patients
Classen, D. C. (1991) · JAMA · doi:10.1001/jama.1991.03470200059035 · Cited by 643
Reminders to Physicians from an Introspective Computer Medical Record
McDonald, C. J., Hui, S. L., Smith, D. M., Tierney, W. M., Cohen, S. J., Weinberger, M., & McCabe, G. P. (1984) · Annals of Internal Medicine · doi:10.7326/0003-4819-100-1-130 · Cited by 626
The HELP system
Pryor, T. A., Gardner, R. M., Clayton, P. D., & Warner, H. R. (1983) · Journal of Medical Systems · doi:10.1007/bf00995116 · Cited by 351
Computer-generated physician and patient reminders. Tools to improve population adherence to selected preventive services.
Ornstein, S. M., Garr, D. R., Jenkins, R., Rust, P. F., & Arnon, A. (1991) · PubMed · Cited by 238
Computerized Display of Past Test Results
Tierney, W. M., McDonald, C. J., Martin, D., Hui, S. L., & ROGERS, M. P. (1987) · Annals of Internal Medicine · doi:10.7326/0003-4819-107-4-569 · Cited by 204
Renal Effects of Ibuprofen, Piroxicam, and Sulindac in Patients with Asymptomatic Renal Failure
Whelton, A., Stout, R. L., Spilman, P. S., & Klassen, D. K. (1990) · Annals of Internal Medicine · doi:10.7326/0003-4819-112-8-568 · Cited by 203
Physician Response to Computer Reminders
McDonald, C. J. (1980) · JAMA · doi:10.1001/jama.1980.03310140037026 · Cited by 184

Show all 29 references

Sorted by citations

Prevention of Venous Thromboembolism
Geerts, W. H., Heit, J. A., Clagett, G. P., Pineo, G. F., Colwell, C. W., Anderson, F. A., & Wheeler, H. B. (2001) · CHEST Journal · doi:10.1378/chest.119.1_suppl.132s · Cited by 4,368
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
Effects of Computerized Physician Order Entry and Clinical Decision Support Systems on Medication Safety: A Systematic Review
Kaushal, R., Shojania, K. G., & Bates, D. W. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.12.1409 · Cited by 30
Overriding 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
Reducing the Frequency of Errors in Medicine Using Information Technology
Bates, D. W., Cohen, M., Leape, L. L., Overhage, J. M., Shabot, M. M., & Sheridan, T. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080299 · Cited by 959
The definition of acute kidney injury and its use in practice
Thomas, M. E., Blaine, C., Dawnay, A., Devonald, M. A. J., Ftouh, S., Laing, C. M., Latchem, S., Lewington, A. J. P., Milford, D. V., & Ostermann, M. (2014) · Kidney International · doi:10.1038/ki.2014.328 · Cited by 739
The Coming of Age of Artificial Intelligence in Medicine
Patel, V., Shortliffe, E., Stefanelli, M., Szolovits, P., Berthold, M., Bellazzi, R., & Abu-Hanna, A. (2008) · Artif. Intell. Medicine · doi:10.1016/j.artmed.2008.07.017 · Cited by 566
Costs and benefits of health information technology.
Shekelle, P. G., Morton, S. C., & Keeler, E. B. (2006) · doi:10.23970/ahrqepcerta132 · Cited by 501
The Extent and Importance of Unintended Consequences Related to Computerized Provider Order Entry
Ash, J. S., Sittig, D. F., Poon, E. G., Guappone, K. P., Campbell, E., & Dykstra, R. H. (2007) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2373 · Cited by 511
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
Guided Medication Dosing for Inpatients With Renal Insufficiency
Chertow, G. M. (2001) · JAMA · doi:10.1001/jama.286.22.2839 · Cited by 447
The Regenstrief Medical Record System: a quarter century experience
McDonald, C. J., Overhage, J. M., Tierney, W. M., Dexter, P. R., Martin, D., Suico, J. G., Zafar, A., Schadow, G., Blevins, L., Glazener, T. T., et al. (1999) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(99)00009-x · Cited by 395
The Barriers to Electronic Medical Record Systems and How to Overcome Them
McDonald, C. J. (1997) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1997.0040213 · Cited by 378
Investigating the effectiveness of technologies applied to assist seniors: A systematic literature review
Khosravi, P., & Ghapanchi, A. H. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.05.014 · Cited by 346
Categorizing the unintended sociotechnical consequences of computerized provider order entry
Ash, J. S., Sittig, D. F., Dykstra, R. H., Guappone, K., Carpenter, J. D., & Seshadri, V. (2007) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.05.017 · Cited by 267
What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior?
Schedlbauer, 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
Improving Response to Critical Laboratory Results with Automation: Results of a Randomized Controlled Trial
Kuperman, G. J., Teich, J. M., Tanasijevic, M. J., Ma'Luf, N., Rittenberg, E., Jha, A., Fiskio, J., Winkelman, J., & Bates, D. W. (1999) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1999.0060512 · Cited by 252
Use of Electronic Results Reporting to Diagnose and Monitor AKI in Hospitalized Patients
Selby, N. M., Crowley, L., Fluck, R., McIntyre, C. W., Monaghan, J., Lawson, N., & Kolhe, N. V. (2012) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.08970911 · Cited by 253
Toward a responsible future: recommendations for AI-enabled clinical decision support
Labkoff, S., Oladimeji, B., Kannry, J., Solomonides, A., Leftwich, R., Koski, E., Joseph, A. L., Lopez-Gonzalez, M., Fleisher, L. A., Nolen, K., et al. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae209 · Cited by 252
Development of trauma systems and effect on outcomes after injury
Nathens, A. B., Brunet, F. P., & Maier, R. V. (2004) · The Lancet · doi:10.1016/s0140-6736(04)16307-1 · Cited by 244
Controlled Trial of Direct Physician Order Entry: Effects on Physicians' Time Utilization in Ambulatory Primary Care Internal Medicine Practices
Overhage, J. M., Perkins, S., Tierney, W. M., & McDonald, C. J. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080361 · Cited by 232
Developing and Implementing Computerized Protocols for Standardization of Clinical Decisions
Morris, A. H. (2000) · Annals of Internal Medicine · doi:10.7326/0003-4819-132-5-200003070-00007 · Cited by 219
Antibiotic optimization. An evaluation of patient safety and economic outcomes
Fraser, G. L. (1997) · Archives of Internal Medicine · doi:10.1001/archinte.157.15.1689 · Cited by 192
Reducing Diagnostic Errors through Effective Communication: Harnessing the Power of Information Technology
Singh, H., Naik, A. D., Rao, R., & Petersen, L. A. (2008) · Journal of General Internal Medicine · doi:10.1007/s11606-007-0393-z · Cited by 162
Principles of Drug Administration in Renal Insufficiency
Lam, Y. W. F., Banerji, S., Hatfield, C., & Talbert, R. L. (1997) · Clinical Pharmacokinetics · doi:10.2165/00003088-199732010-00002 · Cited by 159
The Impact of Prescribing Safety Alerts for Elderly Persons in an Electronic Medical Record
Smith, D. H., Perrin, N., Feldstein, A. C., Yang, X., Kuang, D., Simon, S. R., Sittig, D. F., Platt, R. G., & Soumerai, S. B. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.10.1098 · Cited by 154
Linking Laboratory and Pharmacy
Schiff, G. D., Klass, D. B., Peterson, J. F., Shah, G., & Bates, D. W. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.8.893 · Cited by 153
Guidelines for management of HIV infection with computer-based patient's record
Safran, C., Rind, D. M., Davis, R. B., Ives, D., Sands, D. Z., Currier, J. S., Slack, W. V., Makadon, H. J., & Cotton, D. J. (1995) · The Lancet · doi:10.1016/s0140-6736(95)92226-1 · Cited by 143
Self-citation
Communication outcomes of critical imaging results in a computerized notification system
Singh, H., Arora, H. S., Vij, M. S., Rao, R., Khan, M. M., & Petersen, L. A. (2007) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2280 · Cited by 140
A Trial of Automated Decision Support Alerts for Contraindicated Medications Using Computerized Physician Order Entry
Galanter, W. (2005) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1727 · Cited by 137
The effect of health care working conditions on patient safety.
Hickam, D. H., Severance, S. M., Feldstein, A. C., Ray, L. U., Gorman, P., Schuldheis, S., Hersh, W., Krages, K. P., & Helfand, M. (2003) · PubMed Central · Cited by 127
A Computerized Provider Order Entry Intervention for Medication Safety During Acute Kidney Injury: A Quality Improvement Report
McCoy, A. B., Waitman, L. R., Gadd, C. S., Danciu, I., Smith, J. P., Lewis, J. B., Schildcrout, J. S., & Peterson, J. F. (2010) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2010.05.024 · Cited by 123
Communicating Critical Test Results: Safe Practice Recommendations
Hanna, D., Griswold, P., Leape, L. L., & Bates, D. W. (2005) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(05)31011-7 · Cited by 123
Effects of health information technology on patient outcomes: a systematic review
Brenner, S. K., Kaushal, R., Grinspan, Z. M., Joyce, C. L., Kim, I., Allard, R. J., Delgado, D., & Abramson, E. L. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv138 · Cited by 136
Hospital-acquired acute renal failure.
Nolan, C. R., & Anderson, R. J. (1998) · Journal of the American Society of Nephrology · doi:10.1681/asn.v94710 · Cited by 120
Computerized Clinical Decision Support During Medication Ordering for Long-term Care Residents with Renal Insufficiency
Field, T. S., Rochon, P. A., Lee, M. H., Gavendo, L., Baril, J. L., & Gurwitz, J. H. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2981 · Cited by 119
Drug-induced acute kidney injury in the critically ill adult: Recognition and prevention strategies
Bentley, M. L., Corwin, H. L., & Dasta, J. (2010) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181de0c60 · Cited by 118
Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review
Lachance, P., Villeneuve, P.-M., Rewa, O. G., Wilson, F. P., Selby, N. M., Featherstone, R. M., & Bagshaw, S. M. (2016) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfw424 · Cited by 115
Automatic Alerts for Methicillin-Resistant Staphylococcus aureus Surveillance and Control: Role of a Hospital Information System
Pittet, D., Safran, E., Harbarth, S., BORST, F., Copin, P., Rohner, P., Scherrer, J.-R., & Auckenthaler, R. (1996) · Infection Control and Hospital Epidemiology · doi:10.2307/30141281 · Cited by 111
Alerts in mobile healthcare applications: requirements and pilot study
Kafeza, E., Chiu, D. K. W., Cheung, S.-C., & Kafeza, M. (2004) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.828888 · Cited by 107
Extracting information on pneumonia in infants using natural language processing of radiology reports
Mendonça, E. A., Haas, J., Shagina, L., Larson, E., & Friedman, C. (2005) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2005.02.003 · Cited by 109
Practitioners’ views on computerized drug-drug interaction alerts in the VA system
Ko, Y., Abarca, J., Malone, D. C., Dare, D. C., Geraets, D., Houranieh, A., Jones, W. N., Nichol, W. P., Schepers, G. P., & Wilhardt, M. (2007) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2224 · Cited by 102
Use of Clinical Decision Support Systems for Kidney-Related Drug Prescribing: A Systematic Review
Tawadrous, D., Shariff, S. Z., Haynes, R. B., Iansavichus, A. V., Jain, A. K., & Garg, A. X. (2011) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2011.07.022 · Cited by 102
Diagnostic Bacteriology in District Hospitals in Sub-Saharan Africa: At the Forefront of the Containment of Antimicrobial Resistance
Jacobs, J. A., Hardy, L., Semret, M., Lunguya, O., Phe, T., Affolabi, D., Yansouni, C. P., & Vandenberg, O. (2019) · Frontiers in Medicine · doi:10.3389/fmed.2019.00205 · Cited by 103
Design of a Clinical Event Monitor
Hripcsak, G. M., Clayton, P. D., Jenders, R. A., Cimino, J. J., & Johnson, S. B. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0016 · Cited by 97
Clinical practice guidelines in practice and education
Berg, A. O., Atkins, D. C., & Tierney, W. M. (1997) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.12.s2.4.x · Cited by 94
Medication misuse in hospitalized patients with renal impairment
Salomon, L. (2003) · International Journal for Quality in Health Care · doi:10.1093/intqhc/mzg046 · Cited by 94
A Systematic Review of the Performance Characteristics of Clinical Event Monitor Signals Used to Detect Adverse Drug Events in the Hospital Setting
Handler, S. M., Altman, R., Perera, S., Hanlon, J. T., Studenski, S. A., Bost, J. E., Saul, M. I., & Fridsma, D. B. (2007) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2369 · Cited by 95
Warfarin Use Following Ischemic Stroke Among Medicare Patients With Atrial Fibrillation
Brass, L. M., Krumholz, H. M., Scinto, J. D., Mathur, D., & Radford, M. J. (1998) · Archives of Internal Medicine · doi:10.1001/archinte.158.19.2093 · Cited by 88
Information Systems for Patient Follow-Up and Chronic Management of HIV and Tuberculosis: A Life-Saving Technology in Resource-Poor Areas
Fraser, H., Allen, C. B., Bailey, C., Douglas, G., Shin, S. S., & Blaya, J. A. (2007) · Journal of Medical Internet Research · doi:10.2196/jmir.9.4.e29 · Cited by 87
How Promptly Are Inpatients Treated for Critical Laboratory Results?
Kuperman, G. J., Boyle, D., Jha, A., Rittenberg, E., Ma'Luf, N., Tanasijevic, M. J., Teich, J. M., Winkelman, J. W., & Bates, D. W. (1998) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1998.0050112 · Cited by 87
Detecting alerts, notifying the physician, and offering action items: a comprehensive alerting system.
Kuperman, G. J., Teich, J. M., Bates, D. W., Hiltz, F. L., Hurley, J. M., Lee, R. Y., & Paterno, M. D. (1996) · Europe PMC (PubMed Central) · Cited by 87
Occurrence of adverse, often preventable, events in community hospitals involving nephrotoxic drugs or those excreted by the kidney
Hug, B. L., Witkowski, D. J., Sox, C. M., Keohane, C. A., Seger, D. L., Yoon, C. S., Matheny, M. E., & Bates, D. W. (2009) · Kidney International · doi:10.1038/ki.2009.353 · Cited by 85
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
Adverse Drug Events during AKI and Its Recovery
Cox, Z. L., McCoy, A. B., Matheny, M. E., Bhave, G. B., Peterson, N. B., Siew, E. D., Lewis, J. B., Danciu, I., Bian, A., Shintani, A., et al. (2013) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.11921112 · Cited by 81
Ongoing Clinical Trials in AKI
Faubel, S. G., Chawla, L. S., Chertow, G. M., Goldstein, S. L., Jaber, B. L., & Liu, K. D. (2012) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.12191111 · Cited by 80
Electronic patient records and the impact of the Internet
Safran, C. (2000) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(00)00106-4 · Cited by 80
Frequency and nature of drug‐drug interactions in the intensive care unit
Askari, M., Eslami, S., Louws, M., Wierenga, P. C., Dongelmans, D. A., Kuiper, R., & Abu–Hanna, A. (2013) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.3415 · Cited by 78
Medical Ontology in the Dynamic Healthcare Environment
Zeshan, F., & Mohamad, R. (2012) · Procedia Computer Science · doi:10.1016/j.procs.2012.06.045 · Cited by 77
Management of Severe Hypokalemia in Hospitalized Patients
Paltiel, O., Salakhov, E., Ronen, I., Berg, D., & Israeli, A. (2001) · Archives of Internal Medicine · doi:10.1001/archinte.161.8.1089 · Cited by 76
Impact of Electronic-Alerting of Acute Kidney Injury: Workgroup Statements from the 15 th ADQI Consensus Conference
Hoste, E. A. J., KASHANI, K. B., Gibney, R. T. N., Wilson, F. P., Ronco, C., Goldstein, S. L., Kellum, J. A., Bagshaw, S. M., & on behalf of the 15 ADQI Consensus Group (2016) · Canadian Journal of Kidney Health and Disease · doi:10.1186/s40697-016-0101-1 · Cited by 75
Automated Clinical Reminders for Primary Care Providers in the Care of CKD: A Small Cluster-Randomized Controlled Trial
Abdel-Kader, K. F. M., Fischer, G. S., Li, J., Moore, C. G., Hess, R., & Unruh, M. L. (2011) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2011.08.028 · Cited by 76
Physician order entry in U.S. hospitals.
Ash, J. S., Gorman, P., & Hersh, W. (1998) · PubMed Central · Cited by 75
The benefits and challenges of an electronic medical record: much more than a "word-processed" patient chart.
Sujansky, W. (1998) · PubMed Central · Cited by 72
Wireless clinical alerts for critical medication, laboratory and physiologic data
Shabot, M. M., LoBue, M., & Chen, J. W. (2005) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2000.926784 · Cited by 69
Computerised pathology test order entry reduces laboratory turnaround times and influences tests ordered by hospital clinicians: a controlled before and after study
Westbrook, J. I., Georgiou, A., Dimos, A., & Germanos, T. (2006) · Journal of Clinical Pathology · doi:10.1136/jcp.2005.029983 · Cited by 68
Information Economics and the Internet
Coiera, E. W. (2000) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2000.0070215 · Cited by 68
Laboratory monitoring of drugs at initiation of therapy in ambulatory care
Raebel, M. A., Lyons, E. E., Andrade, S. E., Chan, K. A., Chester, E. A., Davis, R. L., Ellis, J. L., Feldstein, A. C., Gunter, M. J., Lafata, J. E., et al. (2005) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2005.0257.x · Cited by 68
Clinical monitoring using regression-based trend templates
Haimowitz, I. J., Le, P. P., & Kohane, I. S. (1995) · Artificial Intelligence in Medicine · doi:10.1016/0933-3657(95)00023-6 · Cited by 67
The impact of real-time alerting on appropriate prescribing in kidney disease: a cluster randomized controlled trial
Awdishu, L., Coates, C., Lyddane, A., Tran, K., Daniels, C. E., Lee, J., & El-Kareh, R. E. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv159 · Cited by 65
Educational Impact of the Electronic Medical Record
Schenarts, P. J., & Schenarts, K. D. (2011) · Journal of surgical education · doi:10.1016/j.jsurg.2011.10.008 · Cited by 65
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 62
Implementing Practice Guidelines: A Workshop on Guidelines Dissemination and Implementation with a Focus on Asthma and COPD
Boulet, L., Becker, A. B., BOWIE, D. M., Hernandez, P., McIvor, A., Rouleau, M., Bourbeau, J., Graham, I. D., Logan, J., Légaré, F., et al. (2006) · Canadian Respiratory Journal · doi:10.1155/2006/810978 · Cited by 64
The initial development and assessment of an automatic alert warning of acute kidney injury
Thomas, M., Sitch, A. J., & Dowswell, G. (2010) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfq710 · Cited by 62
Principles for a successful computerized physician order entry implementation.
Ash, J. S., Fournier, L., Stavri, P. Z., & Dykstra, R. H. (2003) · PubMed · Cited by 61
Prevention of drug-induced nephrotoxicity in the intensive care unit
Hock, R., & Anderson, R. J. (1995) · Journal of Critical Care · doi:10.1016/0883-9441(95)90029-2 · Cited by 61
Real-time Notification of Laboratory Data Requested by Users through Alphanumeric Pagers
Poon, E. G. (2002) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1009 · Cited by 59
Reflections on electronic medical records: When doctors will use them and when they will not
Bleich, H. L., & Slack, W. V. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.10.002 · Cited by 59
CKD as an Underrecognized Threat to Patient Safety
Fink, J. C., Brown, J., Hsu, V. D., Seliger, S. L., Walker, L. D., & Zhan, M. (2009) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2008.12.016 · Cited by 60
Perspectives of healthcare practitioners: An exploration of interprofessional communication using electronic medical records
Bardach, S. H., Real, K. J., & Bardach, D. R. (2017) · Journal of Interprofessional Care · doi:10.1080/13561820.2016.1269312 · Cited by 63
Perceptions of house officers who use physician order entry.
Ash, J. S., Gorman, P., Hersh, W., Lavelle, M., & Poulsen, S. B. (1999) · PubMed Central · Cited by 58
Medical information systems: a foundation for healthcare technologies in developing countries
Clifford, G. D., Blaya, J. A., Hall‐Clifford, R., & Fraser, H. (2008) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-7-18 · Cited by 10
A controlled trial of including symptom data in computer-based care suggestions for managing patients with chronic heart failure
Subramanian, U., Fihn, S. D., Weinberger, M., Plue, L. D., Smith, F. E., Udris, E. M., McDonell, M. B., Eckert, G. J., Temkit, M., Zhou, X., et al. (2004) · The American Journal of Medicine · doi:10.1016/j.amjmed.2003.11.021 · Cited by 53
A diffusion of innovations model of physician order entry.
Ash, J. S., Lyman, J. A., Carpenter, J., & Fournier, L. (2001) · PubMed Central · Cited by 54
A Trial of Automated Safety Alerts for Inpatient Digoxin Use with Computerized Physician Order Entry
Galanter, W. L. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1500 · Cited by 53
Real-time pharmacy surveillance and clinical decision support to reduce adverse drug events in acute kidney injury: a randomized, controlled trial
Cox, Z. L., Neal, E. B., Waitman, L. R., Peterson, N. B., Bhave, G., Siew, E. D., Danciu, I., Lewis, J. B., Peterson, J. F., & McCoy, A. B. (2012) · Applied Clinical Informatics · doi:10.4338/aci-2012-03-ra-0009 · Cited by 53
Medication Errors in Neonates
Stavroudis, T. A., Miller, M. R., & Lehmann, C. U. (2008) · Clinics in Perinatology · doi:10.1016/j.clp.2007.11.010 · Cited by 51
Prescribing potassium despite hyperkalemia: medication errors uncovered by linking laboratory and pharmacy information systems
Schiff, G. D., Aggarwal, H. C., Kumar, S., & Mcnutt, R. (2000) · The American Journal of Medicine · doi:10.1016/s0002-9343(00)00546-5 · Cited by 52
Medication safety messages for patients via the web portal: The MedCheck intervention
Weingart, S. N., Hamrick, H. E., Tutkus, S., Carbo, A., Sands, D. Z., Tess, A., Davis, R. B., Bates, D. W., & Phillips, R. S. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.04.007 · Cited by 51
Enrolling patients into clinical trials faster using RealTime Recuiting.
Butte, A. J., Weinstein, D. A., & Kohane, I. S. (2000) · PubMed Central · Cited by 51
Adding insight: A qualitative cross-site study of physician order entry
Ash, J. S., Sittig, D. F., Seshadri, V., Dykstra, R. H., Carpenter, J. D., & Stavri, P. Z. (2005) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2005.05.005 · Cited by 51
Electronic communication and collaboration in a health care practice
Safran, C., Jones, P. C., Rind, D. M., Bush, B. T., Cytryn, K. N., & Patel, V. L. (1998) · Artificial Intelligence in Medicine · doi:10.1016/s0933-3657(97)00047-x · Cited by 52
Self-citation
COMPUTERIZED DECISION SUPPORT SYSTEMS IN PRIMARY CARE*
Elson, R. B., & Connelly, D. P. (1995) · Primary Care Clinics in Office Practice · doi:10.1016/s0095-4543(21)00523-6 · Cited by 51
Design and evaluation of Ubiquitous Information Systems and use in healthcare
Maaß, W., & Varshney, U. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.08.007 · Cited by 50
Multiple perspectives on physician order entry.
Ash, J. S., Gorman, P., Lavelle, M., & Lyman, J. A. (2000) · Europe PMC (PubMed Central) · Cited by 50
Computerized physician order entry in the critical care and general inpatient setting: A narrative review
Rothschild, J. M. (2004) · Journal of Critical Care · doi:10.1016/j.jcrc.2004.08.006 · Cited by 59
Missed hypothyroidism diagnosis uncovered by linking laboratory and pharmacy data
Schiff, G. D. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.5.574 · Cited by 47
Efficacy of a Clinical Decision-Support System in an HIV Practice
Robbins, G. K., Lester, W., Johnson, K. L., Chang, Y., Estey, G. A., Surrao, D., Zachary, K. C., Lammert, S. M., Chueh, H. C., Meigs, J. B., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-11-201212040-00003 · Cited by 50
Medication Dosing Errors for Patients with Renal Insufficiency in Ambulatory Care
Yap, C., Dunham, D. P., Thompson, J. A., & Baker, D. L. (2005) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(05)31066-x · Cited by 47
Computerized Provider Order Entry and Patient Safety
Lehmann, C. U., & Kim, G. R. (2006) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2006.09.006 · Cited by 45

Authors: Rind, D. M.
Affiliations: Harvard University (US)
Corresponding author: Rind, David M.
Venue: Archives of Internal Medicine
Publisher: American Medical Association (AMA)
Published: 1994-07-11
Volume: 154
Issue: 13
Pages: 1511
ISSN: 0003-9926 (ISSN-L)
DOI: 10.1001/archinte.1994.00420130107014
OpenAlex: W2011542177
Cited by: 323
References: 29
Citations by year: 2026: 1 · 2025: 4 · 2024: 4 · 2023: 8 · 2022: 9 · 2021: 8 · 2020: 5 · 2019: 6 · 2018: 5 · 2017: 9 · 2016: 14 · 2015: 12 · 2014: 10 · 2013: 7 · 2012: 10
FWCI: 30.14
Type: journal article
Language: en
Open access: closed
Locations: Archives of Internal Medicine (publishedVersion)
PubMed (publishedVersion)
Funders: Agency for Healthcare Research and Quality (HS06288-03)
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
Keywords: nephrotoxic drugs, renal function, serum creatinine, medication dose adjustment, physician behavior, hospitalized patients, drug-induced nephrotoxicity, electronic health records
MeSH terms: Adult, Clinical Laboratory Information Systems, Creatinine, Drug Therapy, Computer-Assisted, Hospital Information Systems, Hospitalization, Humans, Office Automation, Prospective Studies, Surveys and Questionnaires, Linear Models, Treatment Outcome, Acute Kidney Injury

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

Effect of Computer-Based Alerts on the Treatment and Outcomes of Hospitalized Patients

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks