Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

David Westfall Bates, M.D.

Co-Author

This page shows the publications co-authored by David Bates and Shobha Phansalkar.
Connection Strength

4.113
  1. Impact of incorporating pharmacy claims data into electronic medication reconciliation. Am J Health Syst Pharm. 2015 Feb 01; 72(3):212-7.
    View in: PubMed
    Score: 0.632
  2. 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: 0.600
  3. Criteria for assessing high-priority drug-drug interactions for clinical decision support in electronic health records. BMC Med Inform Decis Mak. 2013 Jun 13; 13(1):65.
    View in: PubMed
    Score: 0.564
  4. Drug-drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records. J Am Med Inform Assoc. 2013 May 01; 20(3):489-93.
    View in: PubMed
    Score: 0.537
  5. 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: 0.522
  6. 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.
    View in: PubMed
    Score: 0.465
  7. Preventability of adverse drug events involving multiple drugs using publicly available clinical decision support tools. Am J Health Syst Pharm. 2012 Feb 01; 69(3):221-7.
    View in: PubMed
    Score: 0.128
  8. 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: 0.125
  9. Critical drug-drug interactions for use in electronic health records systems with computerized physician order entry: review of leading approaches. J Patient Saf. 2011 Jun; 7(2):61-5.
    View in: PubMed
    Score: 0.123
  10. Factors influencing alert acceptance: a novel approach for predicting the success of clinical decision support. J Am Med Inform Assoc. 2011 Jul-Aug; 18(4):479-84.
    View in: PubMed
    Score: 0.122
  11. Best Practices in Clinical Decision Support: the Case of Preventive Care Reminders. Appl Clin Inform. 2010; 1(3):331-345.
    View in: PubMed
    Score: 0.111
  12. 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.
    View in: PubMed
    Score: 0.048
  13. Analysis of variations in the display of drug names in computerized prescriber-order-entry systems. Am J Health Syst Pharm. 2017 Apr 01; 74(7):499-509.
    View in: PubMed
    Score: 0.046
  14. 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: 0.032
  15. 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.
    View in: PubMed
    Score: 0.031
  16. What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior? J Am Med Inform Assoc. 2009 Jul-Aug; 16(4):531-8.
    View in: PubMed
    Score: 0.026
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.