Connection

DAVID BATES to Drug Therapy, Computer-Assisted

This is a "connection" page, showing publications DAVID BATES has written about Drug Therapy, Computer-Assisted.
Connection Strength

8.789
  1. Medication-related clinical decision support alert overrides in inpatients. J Am Med Inform Assoc. 2018 05 01; 25(5):476-481.
    View in: PubMed
    Score: 0.588
  2. Improving medication-related clinical decision support. Am J Health Syst Pharm. 2018 02 15; 75(4):239-246.
    View in: PubMed
    Score: 0.580
  3. Clinical reasoning in the context of active decision support during medication prescribing. Int J Med Inform. 2017 01; 97:1-11.
    View in: PubMed
    Score: 0.526
  4. 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.
    View in: PubMed
    Score: 0.500
  5. 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.
    View in: PubMed
    Score: 0.494
  6. The effect of provider characteristics on the responses to medication-related decision support alerts. Int J Med Inform. 2015 Sep; 84(9):630-9.
    View in: PubMed
    Score: 0.478
  7. Understanding physicians' behavior toward alerts about nephrotoxic medications in outpatients: a cross-sectional analysis. BMC Nephrol. 2014 Dec 15; 15:200.
    View in: PubMed
    Score: 0.465
  8. 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.
    View in: PubMed
    Score: 0.445
  9. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014 May-Jun; 21(3):487-91.
    View in: PubMed
    Score: 0.430
  10. High-priority drug-drug interactions for use in electronic health records. J Am Med Inform Assoc. 2012 Sep-Oct; 19(5):735-43.
    View in: PubMed
    Score: 0.388
  11. 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.
    View in: PubMed
    Score: 0.372
  12. 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.
    View in: PubMed
    Score: 0.347
  13. A controlled trial of smart infusion pumps to improve medication safety in critically ill patients. Crit Care Med. 2005 Mar; 33(3):533-40.
    View in: PubMed
    Score: 0.236
  14. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003 Jun 23; 163(12):1409-16.
    View in: PubMed
    Score: 0.210
  15. A computer-based intervention for improving the appropriateness of antiepileptic drug level monitoring. Am J Clin Pathol. 2003 Mar; 119(3):432-8.
    View in: PubMed
    Score: 0.205
  16. Effective drug-allergy checking: methodological and operational issues. J Biomed Inform. 2003 Feb-Apr; 36(1-2):70-9.
    View in: PubMed
    Score: 0.204
  17. Creating an enterprise-wide allergy repository at Partners HealthCare System. AMIA Annu Symp Proc. 2003; 376-80.
    View in: PubMed
    Score: 0.203
  18. Patient safety and computerized medication ordering at Brigham and Women's Hospital. Jt Comm J Qual Improv. 2001 Oct; 27(10):509-21.
    View in: PubMed
    Score: 0.186
  19. Effects of computerized physician order entry on prescribing practices. Arch Intern Med. 2000 Oct 09; 160(18):2741-7.
    View in: PubMed
    Score: 0.174
  20. Using information technology to reduce rates of medication errors in hospitals. BMJ. 2000 Mar 18; 320(7237):788-91.
    View in: PubMed
    Score: 0.167
  21. Improving allergy alerting in a computerized physician order entry system. Proc AMIA Symp. 2000; 2-6.
    View in: PubMed
    Score: 0.165
  22. The impact of computerized physician order entry on medication error prevention. J Am Med Inform Assoc. 1999 Jul-Aug; 6(4):313-21.
    View in: PubMed
    Score: 0.159
  23. 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.
    View in: PubMed
    Score: 0.150
  24. 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.
    View in: PubMed
    Score: 0.109
  25. Development of a web-based observational tool for detecting intravenous medication errors with smart infusion pumps. Stud Health Technol Inform. 2013; 192:1102.
    View in: PubMed
    Score: 0.102
  26. How many medication orders are entered through free-text in EHRs?--a study on hypoglycemic agents. AMIA Annu Symp Proc. 2012; 2012:1079-88.
    View in: PubMed
    Score: 0.100
  27. 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.
    View in: PubMed
    Score: 0.094
  28. Impact of implementing alerts about medication black-box warnings in electronic health records. Pharmacoepidemiol Drug Saf. 2011 Feb; 20(2):192-202.
    View in: PubMed
    Score: 0.088
  29. Improving acceptance of computerized prescribing alerts in ambulatory care. J Am Med Inform Assoc. 2006 Jan-Feb; 13(1):5-11.
    View in: PubMed
    Score: 0.062
  30. KnowledgeLink: impact of context-sensitive information retrieval on clinicians' information needs. J Am Med Inform Assoc. 2006 Jan-Feb; 13(1):67-73.
    View in: PubMed
    Score: 0.062
  31. Acute infections in primary care: accuracy of electronic diagnoses and electronic antibiotic prescribing. J Am Med Inform Assoc. 2006 Jan-Feb; 13(1):61-6.
    View in: PubMed
    Score: 0.062
  32. Improving override rates for computerized prescribing alerts in ambulatory care. AMIA Annu Symp Proc. 2005; 1110.
    View in: PubMed
    Score: 0.058
  33. Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system. J Am Med Inform Assoc. 2004 Nov-Dec; 11(6):482-91.
    View in: PubMed
    Score: 0.057
  34. KnowledgeLink update: just-in-time context-sensitive information retrieval. AMIA Annu Symp Proc. 2003; 902.
    View in: PubMed
    Score: 0.051
  35. Preventable medication errors: identifying and eliminating serious drug interactions. J Am Pharm Assoc (Wash). 2001 Mar-Apr; 41(2):159-60.
    View in: PubMed
    Score: 0.045
  36. Frequency, consequences and prevention of adverse drug events. J Qual Clin Pract. 1999 Mar; 19(1):13-7.
    View in: PubMed
    Score: 0.039
  37. Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA. 1998 Oct 21; 280(15):1311-6.
    View in: PubMed
    Score: 0.038
  38. Improving the use of therapeutic drug monitoring. Ther Drug Monit. 1998 Oct; 20(5):550-5.
    View in: PubMed
    Score: 0.038
  39. The frequency of inappropriate nonformulary medication alert overrides in the inpatient setting. J Am Med Inform Assoc. 2016 09; 23(5):924-33.
    View in: PubMed
    Score: 0.032
  40. 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.
    View in: PubMed
    Score: 0.031
  41. A new knowledge structure for drug-drug interactions. Proc Annu Symp Comput Appl Med Care. 1994; 836-40.
    View in: PubMed
    Score: 0.027
  42. Tiering drug-drug interaction alerts by severity increases compliance rates. J Am Med Inform Assoc. 2009 Jan-Feb; 16(1):40-6.
    View in: PubMed
    Score: 0.019
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.