DAVID BATES to Electronic Prescribing
This is a "connection" page, showing publications DAVID BATES has written about Electronic Prescribing.
Connection Strength
3.648
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The need for independent evaluations of government-led health information technology initiatives. BMJ Qual Saf. 2014 Aug; 23(8):611-3.
Score: 0.462
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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: 0.442
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Overrides of clinical decision support alerts in primary care clinics. Stud Health Technol Inform. 2013; 192:923.
Score: 0.418
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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: 0.357
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Optimizing Hospital Electronic Prescribing Systems: A Systematic Scoping Review. J Patient Saf. 2022 03 01; 18(2):e547-e562.
Score: 0.197
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Association of Display of Patient Photographs in the Electronic Health Record With Wrong-Patient Order Entry Errors. JAMA Netw Open. 2020 11 02; 3(11):e2019652.
Score: 0.180
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Optimising electronic prescribing in hospitals: a scoping review protocol. BMJ Health Care Inform. 2020 Jan; 27(1).
Score: 0.170
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Medication errors and adverse drug events in a UK hospital during the optimisation of electronic prescriptions: a prospective observational study. Lancet Digit Health. 2019 12; 1(8):e403-e412.
Score: 0.168
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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: 0.160
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Exploring the roots of unintended safety threats associated with the introduction of hospital ePrescribing systems and candidate avoidance and/or mitigation strategies: a qualitative study. BMJ Qual Saf. 2017 Sep; 26(9):722-733.
Score: 0.139
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A literature review of the training offered to qualified prescribers to use electronic prescribing systems: why is it so important? Int J Pharm Pract. 2017 Jun; 25(3):195-202.
Score: 0.134
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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: 0.127
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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: 0.123
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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: 0.120
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Qualitative analysis of round-table discussions on the business case and procurement challenges for hospital electronic prescribing systems. PLoS One. 2013; 8(11):e79394.
Score: 0.111
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Opportunities and challenges in creating an international centralised knowledge base for clinical decision support systems in ePrescribing. BMJ Qual Saf. 2011 Jul; 20(7):625-30.
Score: 0.093
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Can electronic clinical documentation help prevent diagnostic errors? N Engl J Med. 2010 Mar 25; 362(12):1066-9.
Score: 0.086
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A complex ePrescribing antimicrobial stewardship-based (ePAMS+) intervention for hospitals: mixed-methods feasibility trial results. BMC Med Inform Decis Mak. 2024 Oct 11; 24(1):301.
Score: 0.059
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Incorporating medication indications into the prescribing process. Am J Health Syst Pharm. 2018 06 01; 75(11):774-783.
Score: 0.038
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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: 0.035
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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: 0.031