Connection

DAVID BATES to Attitude of Health Personnel

This is a "connection" page, showing publications DAVID BATES has written about Attitude of Health Personnel.
Connection Strength

5.547
  1. The Electronic Inbox-Benefits, Questions, and Solutions for the Road Ahead. JAMA. 2023 11 14; 330(18):1735-1736.
    View in: PubMed
    Score: 0.611
  2. Physician Perceptions and Beliefs about Generating and Providing a Clinical Summary of the Office Visit. Appl Clin Inform. 2015; 6(3):577-90.
    View in: PubMed
    Score: 0.347
  3. 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: 0.330
  4. 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: 0.323
  5. Disclosing medical errors: the view from the USA. Surgeon. 2014 Apr; 12(2):64-7.
    View in: PubMed
    Score: 0.310
  6. Are we heeding the warning signs? Examining providers' overrides of computerized drug-drug interaction alerts in primary care. PLoS One. 2013; 8(12):e85071.
    View in: PubMed
    Score: 0.308
  7. Discussion of "Attitude of physicians towards automatic alerting in computerized physician order entry systems". Methods Inf Med. 2013; 52(2):109-27.
    View in: PubMed
    Score: 0.288
  8. 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: 0.190
  9. 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: 0.168
  10. Primary care clinician attitudes towards ambulatory computerized physician order entry. AMIA Annu Symp Proc. 2005; 961.
    View in: PubMed
    Score: 0.165
  11. Primary care physician attitudes towards using a secure web-based portal designed to facilitate electronic communication with patients. Inform Prim Care. 2004; 12(3):129-38.
    View in: PubMed
    Score: 0.154
  12. Association of Primary Care Physicians' Electronic Inbox Activity Patterns with Patients' Likelihood to Recommend the Physician. J Gen Intern Med. 2024 Jan; 39(1):150-152.
    View in: PubMed
    Score: 0.151
  13. Primary care clinician attitudes towards electronic clinical reminders and clinical practice guidelines. AMIA Annu Symp Proc. 2003; 848.
    View in: PubMed
    Score: 0.144
  14. Physicians' perceptions toward electronic communication with patients. AMIA Annu Symp Proc. 2003; 972.
    View in: PubMed
    Score: 0.144
  15. Does a year make a difference? Changes in physician satisfaction and perception in an increasingly capitated environment. Am J Med. 1999 Jul; 107(1):38-44.
    View in: PubMed
    Score: 0.113
  16. Primary Care Patients' and Providers' Perspectives about an Online Weight Management Program: a Qualitative Study. J Gen Intern Med. 2019 08; 34(8):1503-1521.
    View in: PubMed
    Score: 0.112
  17. Education Outcomes in a Duty-Hour Flexibility Trial in Internal Medicine. N Engl J Med. 2018 Apr 19; 378(16):1494-1508.
    View in: PubMed
    Score: 0.103
  18. Making soft intelligence hard: a multi-site qualitative study of challenges relating to voice about safety concerns. BMJ Qual Saf. 2018 09; 27(9):710-717.
    View in: PubMed
    Score: 0.103
  19. 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: 0.089
  20. 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: 0.087
  21. 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: 0.084
  22. Evaluating ambulatory practice safety: the PROMISES project administrators and practice staff surveys. Med Care. 2015 Feb; 53(2):141-52.
    View in: PubMed
    Score: 0.083
  23. Clinicians' perspectives on patient satisfaction in adult congenital heart disease clinics--a dimension of health care quality whose time has come. Congenit Heart Dis. 2015 Mar-Apr; 10(2):128-36.
    View in: PubMed
    Score: 0.080
  24. 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: 0.074
  25. An exploration of safety climate in nursing homes. J Patient Saf. 2012 Sep; 8(3):104-24.
    View in: PubMed
    Score: 0.070
  26. Lessons from the Canadian national health information technology plan for the United States: opinions of key Canadian experts. J Am Med Inform Assoc. 2012 May-Jun; 19(3):453-9.
    View in: PubMed
    Score: 0.065
  27. Integrating incident data from five reporting systems to assess patient safety: making sense of the elephant. Jt Comm J Qual Patient Saf. 2010 Sep; 36(9):402-10.
    View in: PubMed
    Score: 0.061
  28. Physician attitudes toward health information exchange: results of a statewide survey. J Am Med Inform Assoc. 2010 Jan-Feb; 17(1):66-70.
    View in: PubMed
    Score: 0.058
  29. Ability to perform registry functions among practices with and without electronic health records. AMIA Annu Symp Proc. 2008 Nov 06; 1052.
    View in: PubMed
    Score: 0.054
  30. 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: 0.046
  31. Assessing the level of healthcare information technology adoption in the United States: a snapshot. BMC Med Inform Decis Mak. 2006 Jan 05; 6:1.
    View in: PubMed
    Score: 0.044
  32. Physicians and ambulatory electronic health records. Health Aff (Millwood). 2005 Sep-Oct; 24(5):1180-9.
    View in: PubMed
    Score: 0.043
  33. Use and perceived benefits of handheld PDA clinical reference applications. AMIA Annu Symp Proc. 2005; 1099.
    View in: PubMed
    Score: 0.041
  34. 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: 0.041
  35. "I wish I had seen this test result earlier!": Dissatisfaction with test result management systems in primary care. Arch Intern Med. 2004 Nov 08; 164(20):2223-8.
    View in: PubMed
    Score: 0.041
  36. 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: 0.040
  37. 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: 0.039
  38. Improving safety with information technology. N Engl J Med. 2003 Jun 19; 348(25):2526-34.
    View in: PubMed
    Score: 0.037
  39. Survey of primary care physicians and home care clinicians. J Gen Intern Med. 2002 Apr; 17(4):253-61.
    View in: PubMed
    Score: 0.034
  40. Utilizing health information technology in the treatment and management of patients during the COVID-19 pandemic: Lessons from international case study sites. J Am Med Inform Assoc. 2021 07 14; 28(7):1555-1563.
    View in: PubMed
    Score: 0.032
  41. Using electronic data to predict the probability of true bacteremia from positive blood cultures. Proc AMIA Symp. 2000; 893-7.
    View in: PubMed
    Score: 0.029
  42. Towards improving the accuracy of the clinical database: allowing outpatients to review their computerized data. Proc AMIA Symp. 1998; 220-4.
    View in: PubMed
    Score: 0.025
  43. 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: 0.025
  44. Exploring the roots of unintended safety threats associated with the introduction of hospital ePrescribing systems and candidate avoidance and/or mitigation strategies: a qualitative study. BMJ Qual Saf. 2017 Sep; 26(9):722-733.
    View in: PubMed
    Score: 0.024
  45. Nurses' Perspectives on Patient Satisfaction and Expectations: An International Cross-Sectional Multicenter Study With Implications for Evidence-Based Practice. Worldviews Evid Based Nurs. 2016 Jun; 13(3):185-96.
    View in: PubMed
    Score: 0.022
  46. 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.
    View in: PubMed
    Score: 0.021
  47. A qualitative study identifying the cost categories associated with electronic health record implementation in the UK. J Am Med Inform Assoc. 2014 Oct; 21(e2):e226-31.
    View in: PubMed
    Score: 0.019
  48. Impact of an automated email notification system for results of tests pending at discharge: a cluster-randomized controlled trial. J Am Med Inform Assoc. 2014 May-Jun; 21(3):473-80.
    View in: PubMed
    Score: 0.019
  49. Quantifying nursing workflow in medication administration. J Nurs Adm. 2008 Jan; 38(1):19-26.
    View in: PubMed
    Score: 0.013
  50. 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: 0.013
  51. 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: 0.011
  52. Improving completion of advance directives in the primary care setting: a randomized controlled trial. Am J Med. 2004 Sep 01; 117(5):318-24.
    View in: PubMed
    Score: 0.010
  53. The incident reporting system does not detect adverse drug events: a problem for quality improvement. Jt Comm J Qual Improv. 1995 Oct; 21(10):541-8.
    View in: PubMed
    Score: 0.005
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.