Publications

  1. Structured override reasons for drug-drug interaction alerts in electronic health records
    Wright A, McEvoy DS, Aaron S, McCoy AB, Amato MG, Kim H, et al. Structured override reasons for drug-drug interaction alerts in electronic health records. J Am Med Inform Assoc. 2019;26:934–42.
  2. Adherence to recommended electronic health record safety practices across eight health care organizations
    Sittig DF, Salimi M, Aiyagari R, Banas C, Clay B, Gibson KA, et al. Adherence to recommended electronic health record safety practices across eight health care organizations. J Am Med Inform Assoc. 2018 Jul 1;25(7):913–8.
  3. Best practices for preventing malfunctions in rule-based clinical decision support alerts and reminders: Results of a Delphi study
    Wright A, Ash JS, Aaron S, Ai A, Hickman T-TT, Wiesen JF, et al. Best practices for preventing malfunctions in rule-based clinical decision support alerts and reminders: Results of a Delphi study. Int J Med Inform. 2018 Oct;118:78–85.
  4. Clinical decision support alert malfunctions: analysis and empirically derived taxonomy
    Wright A, Ai A, Ash J, Wiesen JF, Hickman T-TT, Aaron S, et al. Clinical decision support alert malfunctions: analysis and empirically derived taxonomy. J Am Med Inform Assoc. 2018 May 1;25(5):496–506.
  5. Variation in high-priority drug-drug interaction alerts across institutions and electronic health records
    McEvoy, DS, Sittig DF, Hickman TT, Aaron S, Ai A, Amato M, Bauer DW, Fraser GM, Harper J, Kennemer A, Krall MA, Lehmann CU, Malhotra S, Murphy DR, O’Kelley B, Samal L, Schreiber R, Singh H, Thomas EJ, Vartian CV, Westmorland J, McCoy AB, Wright A. Variation in High Priority Drug-Drug Interaction Alerts Across Institutions and Electronic Health Records. J Am Med Inform Assoc. 2016. Epub 2016 Aug 18.
  6. A Socio-Technical Approach to Preventing, Mitigating, and Recovering from Ransomware Attacks
    Sittig DF, Singh H. A Socio-Technical Approach to Preventing, Mitigating, and Recovering from Ransomware Attacks. Appl Clin Inform. 2016 Jun 29;7(2):624-32.
  7. New Unintended Adverse Consequences of Electronic Health Records
    Sittig DF, Wright A, Ash J, Singh H. New Unintended Adverse Consequences of Electronic Health Records. Yearb Med Inform. 2016 Nov 10;(1):7-12.
  8. Challenges in patient safety improvement research in the era of electronic health records
    Russo E, Sittig DF, Murphy DR, Singh H. Challenges in patient safety improvement research in the era of electronic health records. Healthc (Amst). 2016 Jul 26. pii: S2213-0764(15)30090-7. doi: 10.1016/j.hjdsi.2016.06.005.
  9. Analysis of clinical decision support system malfunctions: a case series and survey
    Wright A, Hickman T-TT, McEvoy D, Aaron S, Ai A, Andersen JM, et al. Analysis of clinical decision support system malfunctions: a case series and survey. J Am Med Inform Assoc. 2016;23(6):1068–76.
  10. Graphical Display of Diagnostic Test Results in EHRs: A Comparison of 8 Systems
    Sittig DF, Murphy DR, Smith MW, Russo E, Wright A, Singh H. Graphical Display of Diagnostic Test Results in Electronic Health Records: A Comparison of 8 Systems. J Am Med Inform Assoc. 2015 Mar 18;
  11. The SAFER guides: empowering organizations to improve the safety and effectiveness of electronic health records
    Sittig DF, Ash JS, Singh H.The SAFER guides: empowering organizations to improve the safety and effectiveness of electronic health records. Am J Manag Care. 2014 May;20(5):418-23.
  12. Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs
    McCoy AB, Wright A, Krousel-Wood M, Thomas EJ, McCoy JA, Sittig DF. Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs: Appl Clin Inform. 2015;6(2):334–44.
  13. What makes an EHR “open” or interoperable?
    Sittig DF, Wright A. What makes an EHR “open” or interoperable? J Am Med Inform Association, 2015;0:1–3.
  14. CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional, heterogeneous, electronic clinical data
    Hazlehurst BL, Kurtz SE, Masica A, Stevens VJ, McBurnie MA, Puro JE, et al. CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional, heterogeneous, electronic clinicrazal data. Int J Med Inform. 2015.
  15. Cross-vendor evaluation of key user-defined clinical decision support capabilities: A scenario-based assessment of certified electronic health records with guidelines for future development
    McCoy AB, Wright A, Sittig DF. Cross-Vendor evaluation of key user-defined clinical decision support capabilities: A scenario-based assessment of certified electronic health records with guidelines for future development. J Am Med Inform Assoc. 2015 Jun 23.
  16. Problem list completeness in electronic health records: A multi-site study and assessment of success factors
    Wright A, McCoy AB, Hickman T-TT, Hilaire DS, Borbolla D, Bowes WA, et al. Problem list completeness in electronic health records: A multi-site study and assessment of success factors. Int J Med Inform. 2015 Oct;84(10):784–90.
  17. Multiple perspectives on clinical decision support: a qualitative study of fifteen clinical and vendor organizations
    Ash JS, Sittig DF, McMullen CK, Wright A, Bunce A, Mohan V, Cohen DJ, Middleton B. Multiple perspectives on clinical decision support: a qualitative study of fifteen clinical and vendor organizations. BMC Med Inform Decis Mak. 2015 Apr 24;15:35. doi: 10.1186/s12911-015-0156-4.
  18. Lessons learned from implementing service-oriented clinical decision support at four sites: A qualitative study
    Wright A, Sittig DF, Ash JS, Erickson JL, Hickman TT, Paterno M, Gebhardt E, McMullen C, Tsurikova R, Dixon BE, Fraser G, Simonaitis L, Sonnenberg FA, Middleton B. Lessons learned from implementing service-oriented clinical decision support at four sites: A qualitative study. Int J Med Inform. 2015 Nov;84(11):901-11. doi: 10.1016/j.ijmedinf.2015.08.008.
  19. Development of a Clinician Reputation Metric to Identify Appropriate Problem-Medication Pairs in a Crowdsourced Knowledge Base
    McCoy AB, Wright A, Rogith D, Fathiamini S, Ottenbacher AJ, Sittig DF. Development of a Clinician Reputation Metric to Identify Appropriate Problem-Medication Pairs in a Crowdsourced Knowledge Base. J Biomed Inform. 2014 Apr;48:66-72.
  20. Clinical Decision Support Alert Appropriateness: A Review and Proposal for Improvement
    McCoy AB, Thomas EJ, Krousel-Wood M, Sittig DF. Clinical Decision Support Alert Appropriateness: A Review and Proposal for Improvement. Ochsner J. 2014 Summer;14(2):195-202.
  21. The Medicare Electronic Health Record Incentive Program: Provider Performance on Core and Menu Measures
    Wright A, Feblowitz J, Samal L, McCoy AB, Sittig DF. The Medicare Electronic Health Record Incentive Program: Provider Performance on Core and Menu Measures. Health Serv Res. 2014 Feb;49(1 Pt 2):325-46.
  22. A qualitative study of the activities performed by people involved in clinical decision support: recommended practices for success
    Wright A, Ash JS, Erickson JL, Wasserman J, Bunce A, Stanescu A, St Hilaire D, Panzenhagen M, Gebhardt E, McMullen C, Middleton B, Sittig DF. A qualitative study of the activities performed by people involved in clinical decision support: recommended practices for success. J Am Med Inform Assoc. 2014 May-Jun;21(3):464-72. doi: 10.1136/amiajnl-2013-001771.
  23. Clinical Decision Support for Colon and Rectal Surgery: An Overview
    McCoy AB, Melton GB, Wright A, Sittig DF. Clinical Decision Support for Colon and Rectal Surgery: An Overview. Clin Colon Rectal Surg. 2013;26(1):23-30.
  24. State of the Art in Clinical Informatics: Evidence and Examples
    McCoy AB, Wright A, Xu H, Malin BA, Patterson E, Eysenbach G, Sittig DF. State of the Art in Clinical Informatics: Evidence and Examples. Yearb Med Inform. 2013;8(1):13-9.
  25. Early Results of the Meaningful Use Program for Electronic Health Records
    Wright A, Henkin S, Feblowitz J, McCoy AB, Bates DW, Sittig DF. Early Results of the Meaningful Use Program for Electronic Health Records. N Engl J Med. 2013;368:779-780.
  26. Health care transformation through collaboration on open-source informatics projects: integrating a medical applications platform, research data repository, and patient summarization
    Klann JG, McCoy AB, Wright A, Wattanasin N, Sittig DF, Murphy SN. Health care transformation through collaboration on open-source informatics projects: integrating a medical applications platform, research data repository, and patient summarization. Interact J Med Res. 2013 May 30;2(1):e11.
  27. Matching identifiers in electronic health records: implications for duplicate records and patient safety
    McCoy AB, Wright A, Kahn MG, Shapiro JS, Bernstam EV, Sittig DF. Matching identifiers in electronic health records: implications for duplicate records and patient safety. BMJ Qual Saf 2013 Mar;22(3):219-24.
  28. Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts
    Kawamoto K, Hongsermeier T, Wright A, Lewis J, Bell DS, Middleton B. Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts. J Am Med Inform Assoc. 2013 Jan 1;20(1):199-207.
  29. Use of order sets in inpatient computerized provider order entry systems: a comparative analysis of usage patterns at seven sites
    Wright A, Feblowitz JC, Pang JE, Carpenter JD, Krall MA, Middleton B, Sittig DF. Use of order sets in inpatient computerized provider order entry systems: a comparative analysis of usage patterns at seven sites. Int J Med Inform. 2012 Nov;81(11):733-45.
  30. Clinical summarization capabilities of commercially-available and internally-developed electronic health records
    Laxmisan A, McCoy AB, Wright A, Sittig DF. Clinical summarization capabilities of commercially-available and internally-developed electronic health records. Appl Clin Inform. 2012 Feb 22;3(1):80-93.
  31. A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogenous clinical data
    Citation: Sittig DF, Hazlehurst BL, Brown J, Murphy S, Rosenman M, Tarczy-Hornoch P, Wilcox AB. A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogenous clinical data. Med Care. 2012 Jul;50 Suppl:S49-59. doi: 10.1097/MLR.0b013e318259c02b.
  32. Improving completeness of electronic problem lists through clinical decision support: a randomized, controlled trial
    Wright A, Pang J, Feblowitz JC, Maloney FL, Wilcox AR, McLoughlin KS, Ramelson H, Schneider L, Bates DW. Improving completeness of electronic problem lists through clinical decision support: a randomized, controlled trial. J Am Med Inform Assoc. 2012 Jul-Aug;19(4):555-61. doi: 10.1136/amiajnl-2011-000521.
  33. Comparison of Computer-based Clinical Decision Support Systems and Content for Diabetes Mellitus
    Kantor M, Wright A, Burton MM, Fraser GM, Krall MA, Maviglia SM, Mohammed-Rajput N, Simonaitis L, Sonnenberg FA, Middleton B. Comparison of Computer-based Clinical Decision Support Systems and Content for Diabetes Mellitus. Appl Clin Inf 2011 2: 284–303.
  34. Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally-developed electronic health record systems
    Wright A, Sittig DF, Ash JS, Feblowitz J, Meltzer S, McMullen C, Guappone K, Carpenter J, Richardson J, Simonaitis L, Evans RS, Nichol WP, Middleton B. Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally-developed electronic health record systems. J Am Med Inform Assoc. 2011 May 1;18(3):232-42.
  35. Governance for clinical decision support: Case studies and recommended practices from leading institutions
    Wright A, Sittig DF, Ash JS, Bates DW, Feblowitz J, Fraser G, Maviglia SM, McMullen C, Nichol WP, Pang JE, Starmer J, Middleton B. Governance for clinical decision support: Case studies and recommended practices from leading institutions. J Am Med Inform Assoc 2011 Mar 1;18(2):187-94.
  36. Comparison of clinical knowledge management capabilities of commercially-available and leading internally-developed electronic health records
    Sittig DF, Wright A, Meltzer S, Simonaitis L, Evans S, Nichol WP, Ash JS, Middleton B. Comparison of clinical knowledge management capabilities of commercially-available and leading internally-developed electronic health records. BMC Med Inform Decis Mak 2011 Feb 17;11(1):13.
  37. The state of the art in clinical knowledge management: an inventory of tools and techniques
    Sittig DF, Wright A, Simonaitis L, Carpenter J, Allen G, Doebbeling Brad, Sirajuddin A, Ash J, Middleton B. The state of the art in clinical knowledge management: an inventory of tools and techniques. Int J Med Inform 2010 Jan;29(1):44-57.
  38. Clinical decision support capabilities of commercially-available clinical information systems
    Wright A, Sittig DF, Ash JS, Sharma S, Pang JE, Middleton B. Clinical decision support capabilities of commercially-available clinical information systems. J Am Med Inform Assoc 2009 Sep-Oct;16(5):637-44.
  39. Creating and sharing clinical decision support content with Web 2.0: issues and examples
    Wright A, Bates DW, Middleton B, Hongsermeier T, Kashyap V, Thomas SM, Sittig DF. Creating and sharing clinical decision support content with Web 2.0: issues and examples. J Biomed Inform 2009 Apr;42(2):334-46.