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
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Although it is difficult to quantify interruptive alert burden, they are a commonly used form of CDS, and previous research has shown negative unintended consequences for end-users.”
From Qualitative Study of Inpatient Hospital Medicine Interruptive Alerts and Clinical Decision Support (2026) · cites this paper as [1]
In the citing paper
“Electronic “alerts” have been shown to improve critical lab results communication in the inpatient setting, and they show promise in improving the safety of outpatient test result follow-up.45,52,53”
From Reducing Diagnostic Errors through Effective Communication: Harnessing the Power of Information Technology (2008) · cites this paper as [52]
In the citing paper
“Electronic “alerts” have been shown to improve critical lab results communication in the inpatient setting, and they show promise in improving the safety of outpatient test result follow-up.45,52,53”
From Reducing Diagnostic Errors through Effective Communication: Harnessing the Power of Information Technology (2008) · cites this paper as [52]
Citations
Cites
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
Pryor, T. A., Gardner, R. M., Clayton, P. D., & Warner, H. R. (1983) · Journal of Medical Systems · doi:10.1007/bf00995116 · Cited by 351
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
Cited by
Sorted by citations
Items 201–300 of 324
An Objective Study of the Impact of the Electronic Medical Record on Outcomes in Trauma Patients
Schenarts, P. J., Goettler, C. E., White, M. A., & Waibel, B. H. (2012) · The American Surgeon · doi:10.1177/000313481207801134 · Cited by 13
Computerized reminders to monitor liver function to improve the use of etretinate
Koide, D., Ohe, K., Ross‐Degnan, D., & Kaihara, S. (2000) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(99)00055-6 · Cited by 13
The Brave New World of Medical Standards of Care
Kinney, E. D. (2001) · The Journal of Law Medicine & Ethics · doi:10.1111/j.1748-720x.2001.tb00351.x · Cited by 13
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
Holmes, J., Donovan, K. L., Geen, J., Williams, J., & Phillips, A. O. (2020) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfaa071 · Cited by 12
Ebert, N., Schneider, A., Huscher, D., Mielke, N., Balabanova, Y., Brobert, G., Lakenbrink, C., Kuhlmann, M. K., Fietz, A., van der Giet, M., et al. (2023) · BMC Nephrology · doi:10.1186/s12882-023-03272-5 · Cited by 12
Automation, Decision Support, and Expert Systems in Nephrology
Soman, S. S., Zasuwa, G., & Yee, J. (2008) · Advances in Chronic Kidney Disease · doi:10.1053/j.ackd.2007.10.005 · Cited by 12
Bartlett, G., Tamblyn, R. M., Kawasumi, Y., Poissant, L., & Taylor, L. K. (2005) · Acta bioethica · doi:10.4067/s1726-569x2005000200005 · Cited by 12
Kroth, P. J., Dexter, P. R., Overhage, J. M., Knipe, C., Hui, S. L., Belsito, A. W., & McDonald, C. J. (2006) · Europe PMC (PubMed Central) · Cited by 12
Shaoul, R. R., Shahory, R., Tamir, A., & Jaffe, M. (2002) · PEDIATRICS · doi:10.1542/peds.109.6.1118 · Cited by 12
Advanced alerting features: displaying new relevant data and retracting alerts.
Kuperman, G. J., Hiltz, F. L., & Teich, J. M. (1997) · Europe PMC (PubMed Central) · Cited by 12
Evaluations of the Impact of eHealth Technologies in Developing Countries: A Systematic Review
Blaya, J. A., Holt, B. R., & Fraser, H. (2008) · Cited by 12
Birarra, M. K., Mekonnen, G. B., Gelayee, D. A., Assimamaw, N. T., & Kifle, Z. D. (2022) · Metabolism Open · doi:10.1016/j.metop.2022.100211 · Cited by 11
Effect of a Laboratory Result Pager on Provider Behavior in a Neonatal Intensive Care Unit
Stavroudis, T., Miller, R., Lehmann, H. P., Lehmann, C. U., & Samal, L. (2011) · Applied Clinical Informatics · doi:10.4338/aci-2010-09-ra-0052 · Cited by 11
Root Cause Analysis (RCA) of Prolonged Laboratory Turnaround Time in a Tertiary Care Set up
Khan, K. (2014) · JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH · doi:10.7860/jcdr/2014/7269.4255 · Cited by 11
Sah, S. K., Wanakamanee, U., Lerkiatbundit, S., & Regmi, B. M. (2014) · Journal of Nepal Health Research Council · doi:10.33314/jnhrc.v0i0.439 · Cited by 11
Medow, M. A., Wilt, T. J., Dysken, S., Hillson, S. D., Woods, S. R., & Borowsky, S. J. (2001) · Medical Decision Making · doi:10.1177/02729890122062640 · Cited by 11
Tools for Immunization Guideline Knowledge Maintenance
Miller, P. L., Frawley, S. J., Brandt, C., & Sayward, F. G. (1998) · Computers and Biomedical Research · doi:10.1006/cbmr.1998.1471 · Cited by 11
Recent developments in electronic alerts for acute kidney injury
Horne, K. L., & Selby, N. M. (2015) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000245 · Cited by 11
Commentary: Quality, Costs, Privacy and Electronic Medical Data
Bates, D. W. (1997) · The Journal of Law Medicine & Ethics · doi:10.1111/j.1748-720x.1997.tb01886.x · Cited by 11
Acute Kidney Injury – An Update
Varrier, M., Fisher, R., & Ostermann, M. (2015) · EMJ Nephrology · doi:10.33590/emjnephrol/10313813 · Cited by 10
Improved Cholesterol Management in Coronary Heart Disease Patients Enrolled in an HMO
Khoury, A. T., Wan, G. J., Niedermaier, O., Lebrun, B., Stiebeling, B., Path, M., & Alexander, C. M. (2001) · Journal for Healthcare Quality · doi:10.1111/j.1945-1474.2001.tb00333.x · Cited by 10
Housestaff attitudes toward computer-based clinical decision support.
Grundmeier, R. W., & Johnson, K. L. (1999) · PubMed Central · Cited by 10
Can decision support systems work for acute kidney injury?: FIGURE 1:
Kellum, J. A., Kane‐Gill, S. L., & Handler, S. M. (2015) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfv285 · Cited by 9
Reduction of medical error at the point‐of‐care using electronic clinical information delivery
Wilcox, R. A., & Whitham, E. M. (2003) · Internal Medicine Journal · doi:10.1046/j.1445-5994.2003.00465.x · Cited by 9
Preventing acute kidney injury through nephrotoxin management
Perazella, M. A., & Wilson, F. P. (2016) · Nature Reviews Nephrology · doi:10.1038/nrneph.2016.95 · Cited by 9
Sciamanna, C., Gifford, D., & Smith, R. (2004) · Medical Informatics and the Internet in Medicine · doi:10.1080/14639230412331280413 · Cited by 9
Warner, H. R., Miller, S. J., Jennings, K. W., Lundsgaarde, H. P., Pincetl, P., Robinson, E. N., Sommers, J., & Childress, C. (1998) · PubMed Central · Cited by 9
Information Technology and Acute Kidney Injury: Alerts, Alarms, Bells, and Whistles
Wilson, F. P. (2017) · Advances in Chronic Kidney Disease · doi:10.1053/j.ackd.2017.05.007 · Cited by 8
Drug-associated acute kidney injury in the intensive care unit
Rosner, M. H., & Okusa, M. D. (2008) · Springer eBooks · doi:10.1007/978-0-387-84843-3_2 · Cited by 8
Optimal use of communication channels in clinical event monitoring.
Hogan, W. R., & D, M. M. W. M. (1998) · PubMed Central · Cited by 8
The Roles of an Intelligent Mobile Decision Support System in the Clinical Workflow
Spreckelsen, C., Lethen, C., Heeskens, I., Pfeil, K. P. C. J. G., & Spitzer, K. (2000) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)37284-1 · Cited by 8
Mirpanahi, N., Nabovati, E., Sharif, R., Amirazodi, S., & Karami, M. (2023) · Hospital Practice · doi:10.1080/21548331.2023.2203051 · Cited by 8
Alqashqri, H. S. (2023) · Cureus · doi:10.7759/cureus.49111 · Cited by 7
Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning
Radan, S., Hassan, S., Wilson, A., & Basurra, S. (2023) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-6684-9072-3 · Cited by 15
Baird, D., Souza, N. D., Logan, R., Walker, H., Guthrie, B., & Bell, S. (2020) · Clinical Kidney Journal · doi:10.1093/ckj/sfaa151 · Cited by 7
The Architecture of MAITA A Tool For Monitoring, Analysis, and Interpretation
Doyle, J., Kohane, I. S., Long, W. J., & Peter Szolovits, B. (2004) · Cited by 7
Computer decision support for acute kidney injury: current and future
KASHANI, K. B. (2016) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000353 · Cited by 6
Automated Electronic Alert Systems for Acute Kidney Injury: Current Status and Future Perspectives
Uchino, E., Kondo, N., Matsubara, T., & Yanagita, M. (2016) · Contributions to nephrology · doi:10.1159/000452260 · Cited by 5
Amiri, P., Rahimi, B., & Khalkhali, H. R. (2018) · Electronic physician · doi:10.19082/6201 · Cited by 11
Mendonça, E. A., Haas, J., Shagina, L., Larson, E., & Friedman, C. (2003) · doi:10.3115/1118958.1118969 · Cited by 6
Automatic Voice Mail for Delivering Computer-Generated Anticoagulant Dose Advice to Patients
Cervi, P. L., & Everitt, A. S. (2002) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x0200800503 · Cited by 6
Reducing the Paper Load: Computer-Based Patient Records
Lehmann, C. U., Kim, G. R., & Lehmann, H. P. (2000) · Seminars in Pediatric Surgery · doi:10.1016/s1055-8586(00)70004-7 · Cited by 6
Using Clinical Decision Support Systems for Acute Kidney Injury Pragmatic Trials
KASHANI, K. B., Dalili, N., Carter, R. E., Kellum, J. A., & Mehta, R. L. (2019) · Journal of Translational Critical Care Medicine · doi:10.4103/jtccm.jtccm_6_18 · Cited by 5
HIV retention in care: results and lessons learned from the Positive Pathways Implementation Trial
Wohlfeiler, M. B., Weber, R. P., Brunet, L., Fusco, J. S., Uranaka, C., Cochran, Q., Palma, M., Evans, T. S., Millner, C., & Fusco, G. (2022) · BMC Family Practice · doi:10.1186/s12875-022-01909-2 · Cited by 7
Health status and air quality parameters monitoring based on mobile technology and WPAN
Postolache, O. A., Girão, P. S., Sinha, P., Anand, A., & Postolache, G. B. (2009) · International Journal of Advanced Media and Communication · doi:10.1504/ijamc.2009.026857 · Cited by 5
Impact of e-alert systems on the care of patients with acute kidney injury
Breighner, C. M., & KASHANI, K. B. (2017) · Best practice & research. Clinical anaesthesiology · doi:10.1016/j.bpa.2017.08.003 · Cited by 5
Incorporating preventive care recommendations into clinical practice: how do we bridge the gap?
Douketis, J. D. (1999) · Europe PMC (PubMed Central) · Cited by 5
Coiera, E. W. (2002) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2002.tb04253.x · Cited by 5
Radan, S., Hassan, S. M., Wilson, A. S., & Basurra, S. S. (2023) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-6684-9072-3.ch001 · Cited by 5
Surveillance médicamenteuse du sujet âgé : un outil de décision automatisé en pharmacie clinique
Lagrange, F., Lagrange, J., Bénnaga, C., Taloub, F., Keddi, M., & Dumoulin, B. (2016) · Le Pharmacien Hospitalier et Clinicien · doi:10.1016/j.phclin.2016.11.003 · Cited by 4
Chew, C. K. T., Hogan, H., & Jani, Y. H. (2021) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2021-100345 · Cited by 4
Wu, M., Huang, S., Chen, C., Cheng, C.-Y., & Tsai, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063704 · Cited by 4
Health Status Monitor Based on Embedded Photoplethysmography and Smart Phone
Postolache, O. A., Girão, P. S., Sinha, P., Anand, A., & Postolache, G. B. (2008) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2008.4542994 · Cited by 4
Clinical Perspectives on the Modern Laboratory
Silverstein, J. C., & Rothschild, A. S. (1999) · Clinics in Laboratory Medicine · doi:10.1016/s0272-2712(18)30122-7 · Cited by 4
Chiu, D. K. W., Wang, Y., Hung, P. C. K., Cheng, V. S. Y., Chan, K.-K., Kafeza, E., & Tung (2011) · International Journal of Systems and Service-Oriented Engineering · doi:10.4018/jssoe.2011100105 · Cited by 3
Mena, J., Rodriguez, M., Sternberg, S. B., Graham, T., Fernández, L., Benneyan, J. C., Salant, T., Pollack, A. A., Ricci, D. A., Phillips, R. S., et al. (2024) · The American Journal of Medicine · doi:10.1016/j.amjmed.2024.08.032 · Cited by 3
The Effect of Computerized Alerts on Prescribing and Patient Outcomes: A Systematic Review
Bell, B., Khimji, A., Hussain, B., & Avery, A. J. (2025) · Applied Clinical Informatics · doi:10.1055/a-2620-3244 · Cited by 4
Passive acute kidney injury alerts: less is not more
OʼNeil, E. R., Akcan‐Arikan, A., Buffone, G. J., Loftis, L. L., Cruz, A. T., & Devaraj, S. (2021) · Pediatric Research · doi:10.1038/s41390-020-01336-y · Cited by 3
Public Health Surveillance: The Role of Clinical Information Systems
D, M. M. W. M., Espino, J. U., Tsui, F.-C., & Aryel, R. M. (2004) · Springer eBooks · doi:10.1007/978-1-4757-4041-7_39 · Cited by 3
A context-aware decision-support system in clinical pharmacy: Drug monitoring in the elderly
Lagrange, F., Lagrange, J., Bénnaga, C., Taloub, F., Keddi, M., & Dumoulin, B. (2017) · Le Pharmacien Hospitalier et Clinicien · doi:10.1016/j.phclin.2017.01.004 · Cited by 3
PRACTICE MANAGEMENT, HEALTH MAINTENANCE, AND THE USE OF COMPUTERS IN TODAY'S MEDICAL OFFICE
Brooks, R. J., Kahn, J. A., & Smith, R. L. (1996) · Medical Clinics of North America · doi:10.1016/s0025-7125(05)70441-7 · Cited by 3
Acute Kidney Injury Provider and Survivor Education: Current and Emerging Tools
Kwong, Y. D., & Kao, P. F. (2025) · Advances in Kidney Disease and Health · doi:10.1053/j.akdh.2025.03.001 · Cited by 2
Development of a real-time general medicine 30-day readmissions notification system
Bae, J., Owens, T., Ferranti, J. M., Gilbert, W., Stashko, I., Willis, E., Barros, T., & Horvath, M. M. (2012) · Journal of Hospital Administration · doi:10.5430/jha.v2n1p28 · Cited by 2
Putensen, C. (2007) · Der Anaesthesist · doi:10.1007/s00101-007-1272-z · Cited by 2
Electronic Medical Records: Barriers to Adoption and Diffusion
Tarmizi, H., Khazanchi, D., & Noteboom, C. (2006) · DigitalCommons@UNO · Cited by 2
Development in laboraty informatics
Baron, E. J. (1996) · Clinical Microbiology Newsletter · doi:10.1016/0196-4399(95)80042-5 · Cited by 2
Effect of a Computerized Alert on the Management of Hypokalemia in Hospitalized Patients
Paltiel, O., Gordon, L., Berg, D., & Israeli, A. (2003) · Nutrition in Clinical Practice · doi:10.1177/0115426503018003263 · Cited by 2
Anderson, R. J. (2008) · Elsevier eBooks · doi:10.1016/b978-032304841-5.50058-3 · Cited by 2
Bendall, A. C., Tan, S., See, E. J., & Toussaint, N. D. (2021) · The Medical Journal of Australia · doi:10.5694/mja2.51024 · Cited by 2
Blaya, J. A. (2008) · Cited by 2
Cai, Z., Kohane, I. S., FLEISHER, G. R., & Greenes, D. S. (2002) · PubMed · Cited by 2
Ratings of physicians relying on experts versus physicians relying on decision aids
Probst, C. A., Shaffer, V. A., Lambdin, C., Arkes, H. R., & Medow, M. A. (2007) · PsycEXTRA Dataset · doi:10.1037/e722292011-118 · Cited by 2
Huang, S., Chen, L., Wang, L., Cui, X., Feng, C., Zhang, Z., & Li, T. (2020) · medRxiv · doi:10.1101/2020.01.27.20019091 · Cited by 2
Acute kidney injury after non-cardiac major surgery: has it reduced?
Cho, J. M., Kwon, S., Yang, S., Park, J., Jeong, S., Park, S., Ryu, J., Kim, S., Lee, J., Lee, J. P., et al. (2024) · Clinical Kidney Journal · doi:10.1093/ckj/sfae183 · Cited by 1
Antimikrobielle Therapie bei Kindern und Jugendlichen mit Nieren- und Leberinsuffizienz
Kolve, H., Silling, G., Ritter, J., & Groll, A. H. (2005) · Klinische Pädiatrie · doi:10.1055/s-2005-872509 · Cited by 1
DETECTING ADVERSE DRUG REACTIONS IN THE NURSING HOME SETTING USING A CLINICAL EVENT MONITOR
Handler, S. M. (2010) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 1
Melanson, S. E. F., Morrison, A. P., Bates, D. W., & Tanasijevic, M. J. (2011) · Springer eBooks · doi:10.1007/978-1-4419-1030-1_19 · Cited by 1
Acute kidney injury: highlights from the ERA-EDTA Congress in London
Sever, M. Ş. (2016) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfv439 · Cited by 1
Access Scheme for Controlling Mobile Agents and its Application to Share Medical Information
Liao, Y., Chen, T., Chen, T., Chung, Y., Chen, Y. X., Hwang, J., Wang, H. H., & Wei, W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0470-0 · Cited by 1
Global Outlook for Health Information and Communication Technologies
Kuhn, K. A. (2004) · Cited by 1
Informatización del proceso de atención en enfermería en un hospital de alta complejidad
Schachner, B., Elsa, V., Angeles, L., Analía, B., Gómez, A., Otero, P., Daniel, L., Soriano, E. R., & Fernán, G. B. D. Q. (2004) · Cited by 1
Machine Learning in Healthcare: Two Case Studies
Kang, R., Rantanen, E. M., & Youngstrom, E. A. (2022) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181322661518 · Cited by 2
Ralph, R., Patel, J. A., Postelnick, M. J., Ziauddin, S., Flis, W., Galal, A. N., & McLaughlin, M. M. (2014) · Journal of Pharmacy Technology · doi:10.1177/8755122514544127 · Cited by 1
Clinical Information Systems for Intensive Care, Pediatric Critical Care, and Neonatology
Jose, J. H., Adler, S. M., Keyes, W. G., & Bradford, J. M. (1997) · Journal of Intensive Care Medicine · doi:10.1177/088506669701200203 · Cited by 1
The use of an explanation algorithm in a clinical event monitor.
Hogan, W. R., & D, M. M. W. M. (1999) · PubMed Central · Cited by 1
Patient safety and medication errors
Skrepnek, G. H., & Bootman, J. L. (2024) · Italian Journal of Public Health · doi:10.2427/5960 · Cited by 1
Infections et systèmes d'aide à la décision
Guigue, L., & Donadey, T. (1999) · Médecine et Maladies Infectieuses · doi:10.1016/s0399-077x(00)88286-4 · Cited by 1
Alert Notification and Resource Allocation against Disease Outbreak using Web Services
Lin, D. T. T., & Chiu, D. K. W. (2007) · International Conference on Innovations in Information Technology · doi:10.1109/iit.2007.4430414 · Cited by 1
Adaptive Knowledge-Based Monitoring for Information Assurance
Doyle, J., Kohane, I. S., Long, W. J., & Peter Szolovits, B. (1998) · doi:10.21236/ada399880 · Cited by 1
Jenkins, D. (1997) · UCL Discovery (University College London) · Cited by 1
Information economics and the Internet
Coiera, E. (2003) · CRC Press eBooks · doi:10.1201/b13618-40 · Cited by 1
Automated classification of medical text reports
Wilcox, A. B. (2000) · Cited by 1
Elektronische Alarmsysteme für Akute Nierenschädigung – Erfahrungen aus United Kingdom (UK)
Selby, N. M. (2015) · Springer eBooks · doi:10.1007/978-3-642-45080-8_3
Hardy, J. (2006) · Research Online (University of Wollongong)
Alert-Based Hiker Status System
Cheung, B. H. L., Chiu, D. K. W., Hu, H., Zhuang, Y., & Hu, H. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24396-7_40
Forough, A. S., Fahimi, F., & Naderi, N. (2014) · International Journal of Pharmacy and Pharmaceutical Sciences
High-Performance Knowledge Base Support for Monitoring, Analysis, and Interpretation Tasks
Doyle, J., & Peter Szolovits, B. (2002) · doi:10.21236/ada404565
Alerts as starting point for hospital infection surveillance and control
Safran, E., Pittet, D., BORST, F., Thurler, G., Berthoud, M., Schulthess, P., Copin, P., Sauvan, V., Alexiou, A., Rebouillat, L., et al. (1995) · Lecture notes in computer science · doi:10.1007/3-540-60025-6_134
Fischer, S. H. (2011) · eScholarship@UMassChan · doi:10.13028/qvb0-7r85
Metadata
- 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)
- 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