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Shobha Phansalkar, PH.D.

TitleInstructor in Medicine
InstitutionBrigham and Women's Hospital
DepartmentMedicine
AddressBwh
93 Worcester Rd
Wellesley Hills MA 02481

 Bibliographic 
 selected publications
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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  1. Phansalkar S, van der Sijs H, Tucker AD, Desai AA, Bell DS, Teich JM, Middleton B, Bates DW. 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 1; 20(3):489-93.
    View in: PubMed
  2. Phansalkar S, Desai AA, Bell D, Yoshida E, Doole J, Czochanski M, Middleton B, Bates DW. 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
  3. Wright A, Feblowitz J, Phansalkar S, Liu J, Wilcox A, Keohane CA, Seger DL, Bloomrosen M, Kuperman GJ, Bates DW. Preventability of adverse drug events involving multiple drugs using publicly available clinical decision support tools. Am J Health Syst Pharm. 2012 Feb 1; 69(3):221-7.
    View in: PubMed
  4. Kesselheim AS, Cresswell K, Phansalkar S, Bates DW, Sheikh A. 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
  5. Zachariah M, Phansalkar S, Seidling HM, Neri PM, Cresswell KM, Duke J, Bloomrosen M, Volk LA, Bates DW. 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
  6. Classen DC, Phansalkar S, Bates DW. 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
  7. Cresswell KM, Bates DW, Phansalkar S, Sheikh A. 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
  8. Seidling HM, Phansalkar S, Seger DL, Paterno MD, Shaykevich S, Haefeli WE, Bates DW. 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
  9. Phansalkar S, Edworthy J, Hellier E, Seger DL, Schedlbauer A, Avery AJ, Bates DW. 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
  10. Phansalkar S, Robinson G, Getty G, Shalaby J, Tao D, Broverman C. Challenges in exchanging medication information: identifying gaps in clinical document exchange and terminology standards. AMIA Annu Symp Proc. 2009; 2009:526-30.
    View in: PubMed
  11. Schedlbauer A, Prasad V, Mulvaney C, Phansalkar S, Stanton W, Bates DW, Avery AJ. 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
  12. Phansalkar S, Hoffman JM, Hurdle JF, Patel VL. Understanding pharmacist decision making for adverse drug event (ADE) detection. J Eval Clin Pract. 2009 Apr; 15(2):266-75.
    View in: PubMed
  13. Weir CR, Staggers N, Phansalkar S. The state of the evidence for computerized provider order entry: a systematic review and analysis of the quality of the literature. Int J Med Inform. 2009 Jun; 78(6):365-74.
    View in: PubMed
  14. Gundlapalli AV, South BR, Phansalkar S, Kinney AY, Shen S, Delisle S, Perl T, Samore MH. Application of Natural Language Processing to VA Electronic Health Records to Identify Phenotypic Characteristics for Clinical and Research Purposes. Summit on Translat Bioinforma. 2008; 2008:36-40.
    View in: PubMed
  15. Phansalkar S, South BR, Hoffman JM, Hurdle JF. Looking for a needle in the haystack? A case for detecting adverse drug events (ADE) in clinical notes. AMIA Annu Symp Proc. 2007; 1077.
    View in: PubMed
  16. South BR, Phansalkar S, Swaminathan AD, Delisle S, Perl T, Samore MH. Adaptation of the NegEx algorithm to Veterans Affairs electronic text notes for detection of influenza-like illness (ILI). AMIA Annu Symp Proc. 2007; 1118.
    View in: PubMed
  17. Phansalkar S, Hoffman JM, Nebeker JR, Hurdle JF. Pharmacists versus nonpharmacists in adverse drug event detection: a meta-analysis and systematic review. Am J Health Syst Pharm. 2007 Apr 15; 64(8):842-9.
    View in: PubMed
  18. Phansalkar S, Weir CR, Morris AH, Warner HR. Clinicians' perceptions about use of computerized protocols: a multicenter study. Int J Med Inform. 2008 Mar; 77(3):184-93.
    View in: PubMed
  19. Phansalkar S, Sward KA, Weir CR, Morris AH. Mapping clinicians' perceptions about computerized protocol use to an IT implementation framework. Stud Health Technol Inform. 2007; 129(Pt 2):1098-101.
    View in: PubMed
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