Connection

DAVID BATES to Attitude to Computers

This is a "connection" page, showing publications DAVID BATES has written about Attitude to Computers.
Connection Strength

4.663
  1. Leveraging health information technology to achieve the "triple aim" of healthcare reform. J Am Med Inform Assoc. 2015 Jul; 22(4):849-56.
    View in: PubMed
    Score: 0.483
  2. Physician beliefs about the impact of meaningful use of the EHR: a cross-sectional study. Appl Clin Inform. 2014; 5(3):789-801.
    View in: PubMed
    Score: 0.462
  3. 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: 0.368
  4. Patients' attitudes toward electronic health information exchange: qualitative study. J Med Internet Res. 2009 Aug 06; 11(3):e30.
    View in: PubMed
    Score: 0.325
  5. Readiness for electronic health records: comparison of characteristics of practices in a collaborative with the remainder of Massachusetts. Inform Prim Care. 2008; 16(2):129-37.
    View in: PubMed
    Score: 0.291
  6. Implementation and use of an electronic health record within the Indian Health Service. J Am Med Inform Assoc. 2007 Mar-Apr; 14(2):191-7.
    View in: PubMed
    Score: 0.272
  7. Use and perceived benefits of handheld computer-based clinical references. J Am Med Inform Assoc. 2006 Nov-Dec; 13(6):619-26.
    View in: PubMed
    Score: 0.265
  8. Use and perceived benefits of handheld PDA clinical reference applications. AMIA Annu Symp Proc. 2005; 1099.
    View in: PubMed
    Score: 0.237
  9. Primary care physician time utilization before and after implementation of an electronic health record: a time-motion study. J Biomed Inform. 2005 Jun; 38(3):176-88.
    View in: PubMed
    Score: 0.236
  10. Who adopts a patient portal?: An application of the diffusion of innovation model. J Innov Health Inform. 2018 Oct 25; 25(3):149-157.
    View in: PubMed
    Score: 0.154
  11. Physician Beliefs about the Meaningful Use of the Electronic Health Record: A Follow-Up Study. Appl Clin Inform. 2017 10; 8(4):1044-1053.
    View in: PubMed
    Score: 0.145
  12. Awareness and Use of the After-Visit Summary Through a Patient Portal: Evaluation of Patient Characteristics and an Application of the Theory of Planned Behavior. J Med Internet Res. 2016 Apr 13; 18(4):e77.
    View in: PubMed
    Score: 0.129
  13. Implementation of physician order entry: user satisfaction and self-reported usage patterns. J Am Med Inform Assoc. 1996 Jan-Feb; 3(1):42-55.
    View in: PubMed
    Score: 0.127
  14. Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a qualitative study. BMC Med Inform Decis Mak. 2013 Jun 24; 13:67.
    View in: PubMed
    Score: 0.106
  15. Factors associated with difficult electronic health record implementation in office practice. J Am Med Inform Assoc. 2012 Jul-Aug; 19(4):541-4.
    View in: PubMed
    Score: 0.096
  16. Are physicians' perceptions of healthcare quality and practice satisfaction affected by errors associated with electronic health record use? J Am Med Inform Assoc. 2012 Jul-Aug; 19(4):610-4.
    View in: PubMed
    Score: 0.096
  17. Electronic health records: use, barriers and satisfaction among physicians who care for black and Hispanic patients. J Eval Clin Pract. 2009 Feb; 15(1):158-63.
    View in: PubMed
    Score: 0.076
  18. Electronic health records: which practices have them, and how are clinicians using them? J Eval Clin Pract. 2008 Feb; 14(1):43-7.
    View in: PubMed
    Score: 0.073
  19. Physicians and electronic health records: a statewide survey. Arch Intern Med. 2007 Mar 12; 167(5):507-12.
    View in: PubMed
    Score: 0.069
  20. Correlates of electronic health record adoption in office practices: a statewide survey. J Am Med Inform Assoc. 2007 Jan-Feb; 14(1):110-7.
    View in: PubMed
    Score: 0.067
  21. 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
  22. A randomized trial of electronic clinical reminders to improve quality of care for diabetes and coronary artery disease. J Am Med Inform Assoc. 2005 Jul-Aug; 12(4):431-7.
    View in: PubMed
    Score: 0.060
  23. Primary care clinician attitudes towards ambulatory computerized physician order entry. AMIA Annu Symp Proc. 2005; 961.
    View in: PubMed
    Score: 0.059
  24. Patients' perceptions of a Web portal offering clinic messaging and personal health information. AMIA Annu Symp Proc. 2005; 1147.
    View in: PubMed
    Score: 0.059
  25. Overcoming barriers to adopting and implementing computerized physician order entry systems in U.S. hospitals. Health Aff (Millwood). 2004 Jul-Aug; 23(4):184-90.
    View in: PubMed
    Score: 0.057
  26. A patient-controlled journal for an electronic medical record: issues and challenges. Stud Health Technol Inform. 2004; 107(Pt 2):1166-70.
    View in: PubMed
    Score: 0.055
  27. Improving safety with information technology. N Engl J Med. 2003 Jun 19; 348(25):2526-34.
    View in: PubMed
    Score: 0.053
  28. Primary care clinician attitudes towards electronic clinical reminders and clinical practice guidelines. AMIA Annu Symp Proc. 2003; 848.
    View in: PubMed
    Score: 0.052
  29. Clinician use of a palmtop drug reference guide. J Am Med Inform Assoc. 2002 May-Jun; 9(3):223-9.
    View in: PubMed
    Score: 0.049
  30. Top ten challenges when interfacing a laboratory information system to an electronic health record: Experience at a large academic medical center. Int J Med Inform. 2017 10; 106:9-16.
    View in: PubMed
    Score: 0.035
  31. Do minority-serving physicians have comparable rates of use of electronic health records? AMIA Annu Symp Proc. 2007 Oct 11; 993.
    View in: PubMed
    Score: 0.018
  32. Improving override rates for computerized prescribing alerts in ambulatory care. AMIA Annu Symp Proc. 2005; 1110.
    View in: PubMed
    Score: 0.015
  33. Detecting alerts, notifying the physician, and offering action items: a comprehensive alerting system. Proc AMIA Annu Fall Symp. 1996; 704-8.
    View in: PubMed
    Score: 0.008
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.