DAVID BATES to Medical Order Entry Systems
This is a "connection" page, showing publications DAVID BATES has written about Medical Order Entry Systems.
Connection Strength
21.050
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Renal medication-related clinical decision support (CDS) alerts and overrides in the inpatient setting following implementation of a commercial electronic health record: implications for designing more effective alerts. J Am Med Inform Assoc. 2021 06 12; 28(6):1081-1087.
Score: 0.679
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The Development and Piloting of the Ambulatory Electronic Health Record Evaluation Tool: Lessons Learned. Appl Clin Inform. 2021 01; 12(1):153-163.
Score: 0.666
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Comparison of Medication Alerts from Two Commercial Applications in the USA. Drug Saf. 2021 06; 44(6):661-668.
Score: 0.665
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The tradeoffs between safety and alert fatigue: Data from a national evaluation of hospital medication-related clinical decision support. J Am Med Inform Assoc. 2020 08 01; 27(8):1252-1258.
Score: 0.640
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Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support. BMJ Qual Saf. 2020 01; 29(1):52-59.
Score: 0.595
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The national cost of adverse drug events resulting from inappropriate medication-related alert overrides in the United States. J Am Med Inform Assoc. 2018 09 01; 25(9):1183-1188.
Score: 0.560
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Reduced Effectiveness of Interruptive Drug-Drug Interaction Alerts after Conversion to a Commercial Electronic Health Record. J Gen Intern Med. 2018 11; 33(11):1868-1876.
Score: 0.549
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Medication-related clinical decision support alert overrides in inpatients. J Am Med Inform Assoc. 2018 05 01; 25(5):476-481.
Score: 0.547
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Determining Inappropriate Medication Alerts from "Inaccurate Warning" Overrides in the Intensive Care Unit. Appl Clin Inform. 2018 04; 9(2):268-274.
Score: 0.546
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Improving medication-related clinical decision support. Am J Health Syst Pharm. 2018 02 15; 75(4):239-246.
Score: 0.539
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Prospective evaluation of medication-related clinical decision support over-rides in the intensive care unit. BMJ Qual Saf. 2018 09; 27(9):718-724.
Score: 0.539
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Evaluation of medication-related clinical decision support alert overrides in the intensive care unit. J Crit Care. 2017 06; 39:156-161.
Score: 0.504
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Development of an algorithm to assess appropriateness of overriding alerts for nonformulary medications in a computerized prescriber-order-entry system. Am J Health Syst Pharm. 2016 Jan 01; 73(1):e34-45.
Score: 0.465
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Provider variation in responses to warnings: do the same providers run stop signs repeatedly? J Am Med Inform Assoc. 2016 Apr; 23(e1):e93-8.
Score: 0.459
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Acceptability and feasibility of the Leapfrog computerized physician order entry evaluation tool for hospitals outside the United States. Int J Med Inform. 2015 Sep; 84(9):694-701.
Score: 0.446
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The effect of provider characteristics on the responses to medication-related decision support alerts. Int J Med Inform. 2015 Sep; 84(9):630-9.
Score: 0.445
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Understanding the nature of medication errors in an ICU with a computerized physician order entry system. PLoS One. 2014; 9(12):e114243.
Score: 0.433
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Understanding physicians' behavior toward alerts about nephrotoxic medications in outpatients: a cross-sectional analysis. BMC Nephrol. 2014 Dec 15; 15:200.
Score: 0.433
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Evaluation of a Korean version of a tool for assessing the incorporation of human factors into a medication-related decision support system: the I-MeDeSA. Appl Clin Inform. 2014; 5(2):571-88.
Score: 0.418
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Evaluation of medication alerts in electronic health records for compliance with human factors principles. J Am Med Inform Assoc. 2014 Oct; 21(e2):e332-40.
Score: 0.414
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Are we heeding the warning signs? Examining providers' overrides of computerized drug-drug interaction alerts in primary care. PLoS One. 2013; 8(12):e85071.
Score: 0.405
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Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014 May-Jun; 21(3):487-91.
Score: 0.400
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Impact of vendor computerized physician order entry on patients with renal impairment in community hospitals. J Hosp Med. 2013 Oct; 8(10):545-52.
Score: 0.398
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Return on investment for vendor computerized physician order entry in four community hospitals: the importance of decision support. Jt Comm J Qual Patient Saf. 2013 Jul; 39(7):312-8.
Score: 0.391
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Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a qualitative study. BMC Med Inform Decis Mak. 2013 Jun 24; 13:67.
Score: 0.391
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Relationship between medication event rates and the Leapfrog computerized physician order entry evaluation tool. J Am Med Inform Assoc. 2013 Jun; 20(e1):e85-90.
Score: 0.386
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Discussion of "Attitude of physicians towards automatic alerting in computerized physician order entry systems". Methods Inf Med. 2013; 52(2):109-27.
Score: 0.378
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Standard practices for computerized clinical decision support in community hospitals: a national survey. J Am Med Inform Assoc. 2012 Nov-Dec; 19(6):980-7.
Score: 0.364
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High-priority drug-drug interactions for use in electronic health records. J Am Med Inform Assoc. 2012 Sep-Oct; 19(5):735-43.
Score: 0.361
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Impact of vendor computerized physician order entry in community hospitals. J Gen Intern Med. 2012 Jul; 27(7):801-7.
Score: 0.354
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Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems--I-MeDeSA. J Am Med Inform Assoc. 2011 Dec; 18 Suppl 1:i62-72.
Score: 0.346
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Impact of implementing alerts about medication black-box warnings in electronic health records. Pharmacoepidemiol Drug Saf. 2011 Feb; 20(2):192-202.
Score: 0.329
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CPOE and clinical decision support in hospitals: getting the benefits: comment on "Unintended effects of a computerized physician order entry nearly hard-stop alert to prevent a drug interaction". Arch Intern Med. 2010 Sep 27; 170(17):1583-4.
Score: 0.323
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Coded entry versus free-text and alert overrides: what you get depends on how you ask. Int J Med Inform. 2010 Nov; 79(11):792-6.
Score: 0.323
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A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems. J Am Med Inform Assoc. 2010 Sep-Oct; 17(5):493-501.
Score: 0.322
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Single-parameter early warning criteria to predict life-threatening adverse events. J Patient Saf. 2010 Jun; 6(2):97-101.
Score: 0.316
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Adverse drug event rates in six community hospitals and the potential impact of computerized physician order entry for prevention. J Gen Intern Med. 2010 Jan; 25(1):31-8.
Score: 0.304
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Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setting. J Am Geriatr Soc. 2008 Dec; 56(12):2225-33.
Score: 0.285
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Can surveillance systems identify and avert adverse drug events? A prospective evaluation of a commercial application. J Am Med Inform Assoc. 2008 Sep-Oct; 15(5):647-53.
Score: 0.276
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Outpatient prescribing errors and the impact of computerized prescribing. J Gen Intern Med. 2005 Sep; 20(9):837-41.
Score: 0.227
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National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018. JAMA Netw Open. 2020 05 01; 3(5):e205547.
Score: 0.157
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Evaluation of Harm Associated with High Dose-Range Clinical Decision Support Overrides in the Intensive Care Unit. Drug Saf. 2019 04; 42(4):573-579.
Score: 0.146
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Clinical decision support alert malfunctions: analysis and empirically derived taxonomy. J Am Med Inform Assoc. 2018 05 01; 25(5):496-506.
Score: 0.137
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Factors contributing to medication errors made when using computerized order entry in pediatrics: a systematic review. J Am Med Inform Assoc. 2018 05 01; 25(5):575-584.
Score: 0.137
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Evaluation of 'Definite' Anaphylaxis Drug Allergy Alert Overrides in Inpatient and Outpatient Settings. Drug Saf. 2018 03; 41(3):297-302.
Score: 0.135
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High-priority and low-priority drug-drug interactions in different international electronic health record systems: A comparative study. Int J Med Inform. 2018 03; 111:165-171.
Score: 0.134
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Outpatient CPOE orders discontinued due to 'erroneous entry': prospective survey of prescribers' explanations for errors. BMJ Qual Saf. 2018 04; 27(4):293-298.
Score: 0.130
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A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care. J Am Med Inform Assoc. 2017 Mar 01; 24(2):432-440.
Score: 0.126
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Computerized prescriber order entry-related patient safety reports: analysis of 2522 medication errors. J Am Med Inform Assoc. 2017 03 01; 24(2):316-322.
Score: 0.126
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Screening for medication errors using an outlier detection system. J Am Med Inform Assoc. 2017 03 01; 24(2):281-287.
Score: 0.126
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Clinical reasoning in the context of active decision support during medication prescribing. Int J Med Inform. 2017 01; 97:1-11.
Score: 0.122
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Ambulatory Computerized Prescribing and Preventable Adverse Drug Events. J Patient Saf. 2016 06; 12(2):69-74.
Score: 0.120
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Analysis of clinical decision support system malfunctions: a case series and survey. J Am Med Inform Assoc. 2016 11; 23(6):1068-1076.
Score: 0.118
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The frequency of inappropriate nonformulary medication alert overrides in the inpatient setting. J Am Med Inform Assoc. 2016 09; 23(5):924-33.
Score: 0.118
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Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience. J Am Med Inform Assoc. 2016 05; 23(3):601-8.
Score: 0.115
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The vulnerabilities of computerized physician order entry systems: a qualitative study. J Am Med Inform Assoc. 2016 Mar; 23(2):311-6.
Score: 0.115
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Computerised prescribing for safer medication ordering: still a work in progress. BMJ Qual Saf. 2016 May; 25(5):315-9.
Score: 0.115
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Qualitative analysis of vendor discussions on the procurement of Computerised Physician Order Entry and Clinical Decision Support systems in hospitals. BMJ Open. 2015 Oct 26; 5(10):e008313.
Score: 0.115
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The evolution of the market for commercial computerized physician order entry and computerized decision support systems for prescribing. J Am Med Inform Assoc. 2016 Mar; 23(2):349-55.
Score: 0.114
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High Override Rate for Opioid Drug-allergy Interaction Alerts: Current Trends and Recommendations for Future. Stud Health Technol Inform. 2015; 216:242-6.
Score: 0.109
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Clinical decision support systems. Swiss Med Wkly. 2014; 144:w14073.
Score: 0.108
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Evaluation of medium-term consequences of implementing commercial computerized physician order entry and clinical decision support prescribing systems in two 'early adopter' hospitals. J Am Med Inform Assoc. 2014 Oct; 21(e2):e194-202.
Score: 0.102
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Safe use of electronic health records and health information technology systems: trust but verify. J Patient Saf. 2013 Dec; 9(4):177-89.
Score: 0.101
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How many medication orders are entered through free-text in EHRs?--a study on hypoglycemic agents. AMIA Annu Symp Proc. 2012; 2012:1079-88.
Score: 0.093
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Effect of bar-code technology on the safety of medication administration. N Engl J Med. 2010 May 06; 362(18):1698-707.
Score: 0.079
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Tiering drug-drug interaction alerts by severity increases compliance rates. J Am Med Inform Assoc. 2009 Jan-Feb; 16(1):40-6.
Score: 0.071
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Preventing medication errors: a summary. Am J Health Syst Pharm. 2007 Jul 15; 64(14 Suppl 9):S3-9; quiz S24-6.
Score: 0.065
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Assessment of education and computerized decision support interventions for improving transfusion practice. Transfusion. 2007 Feb; 47(2):228-39.
Score: 0.063
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E-Prescribing collaboration in Massachusetts: early experiences from regional prescribing projects. J Am Med Inform Assoc. 2006 May-Jun; 13(3):239-44.
Score: 0.059
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Return on investment for a computerized physician order entry system. J Am Med Inform Assoc. 2006 May-Jun; 13(3):261-6.
Score: 0.059
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Analyzing transaction workflows in an ePrescribing system. AMIA Annu Symp Proc. 2006; 1129.
Score: 0.058
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Improving acceptance of computerized prescribing alerts in ambulatory care. J Am Med Inform Assoc. 2006 Jan-Feb; 13(1):5-11.
Score: 0.057
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Computerized physician order entry with clinical decision support in the long-term care setting: insights from the Baycrest Centre for Geriatric Care. J Am Geriatr Soc. 2005 Oct; 53(10):1780-9.
Score: 0.057
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Improving override rates for computerized prescribing alerts in ambulatory care. AMIA Annu Symp Proc. 2005; 1110.
Score: 0.054
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Comparison of a Prototype for Indications-Based Prescribing With 2 Commercial Prescribing Systems. JAMA Netw Open. 2019 03 01; 2(3):e191514.
Score: 0.036
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Computerised physician order entry-related medication errors: analysis of reported errors and vulnerability testing of current systems. BMJ Qual Saf. 2015 Apr; 24(4):264-71.
Score: 0.027
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Clinical decision support systems could be modified to reduce 'alert fatigue' while still minimizing the risk of litigation. Health Aff (Millwood). 2011 Dec; 30(12):2310-7.
Score: 0.022