Connection

DAVID BATES to Practice Patterns, Physicians'

This is a "connection" page, showing publications DAVID BATES has written about Practice Patterns, Physicians'.
Connection Strength

4.239
  1. 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: 0.332
  2. The effect of provider characteristics on the responses to medication-related decision support alerts. Int J Med Inform. 2015 Sep; 84(9):630-9.
    View in: PubMed
    Score: 0.322
  3. How physicians document outpatient visit notes in an electronic health record. Int J Med Inform. 2013 Jan; 82(1):39-46.
    View in: PubMed
    Score: 0.261
  4. Impact of implementing alerts about medication black-box warnings in electronic health records. Pharmacoepidemiol Drug Saf. 2011 Feb; 20(2):192-202.
    View in: PubMed
    Score: 0.238
  5. Physicians' use of key functions in electronic health records from 2005 to 2007: a statewide survey. J Am Med Inform Assoc. 2009 Jul-Aug; 16(4):465-70.
    View in: PubMed
    Score: 0.212
  6. Impact of computerized decision support on blood pressure management and control: a randomized controlled trial. J Gen Intern Med. 2008 Apr; 23(4):429-41.
    View in: PubMed
    Score: 0.197
  7. 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: 0.193
  8. Do physicians take action on high risk family history information provided by patients outside of a clinic visit? Stud Health Technol Inform. 2007; 129(Pt 1):13-7.
    View in: PubMed
    Score: 0.180
  9. Adherence to black box warnings for prescription medications in outpatients. Arch Intern Med. 2006 Feb 13; 166(3):338-44.
    View in: PubMed
    Score: 0.170
  10. Variability in intravenous medication practices: implications for medication safety. Jt Comm J Qual Patient Saf. 2005 Apr; 31(4):203-10.
    View in: PubMed
    Score: 0.160
  11. Adherence with osteoporosis practice guidelines: a multilevel analysis of patient, physician, and practice setting characteristics. Am J Med. 2004 Dec 15; 117(12):919-24.
    View in: PubMed
    Score: 0.157
  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: 0.144
  13. Development of four electronic clinical quality measures (eCQMs) for use in the Merit-based Incentive Payment System (MIPS) following elective primary total hip and knee arthroplasty. AMIA Annu Symp Proc. 2021; 2021:408-417.
    View in: PubMed
    Score: 0.129
  14. Development and Alpha Testing of Specifications for a Prolonged Opioid Prescribing Electronic Clinical Quality Measure (eCQM). AMIA Annu Symp Proc. 2020; 2020:1022-1030.
    View in: PubMed
    Score: 0.120
  15. Re-tooling an Existing Clinical Quality Measure for Chronic Opioid Use to an Electronic Clinical Quality Measure (eCQM) for Post-Operative Opioid Prescribing: Development and Testing of Draft Specifications. AMIA Annu Symp Proc. 2020; 2020:1200-1209.
    View in: PubMed
    Score: 0.120
  16. Outcomes of care and resource utilization among patients with knee or shoulder disorders treated by general internists, rheumatologists, or orthopedic surgeons. Am J Med. 2000 Jan; 108(1):28-35.
    View in: PubMed
    Score: 0.111
  17. Multinational comparison of new antidepressant use in older adults: a cohort study. BMJ Open. 2019 05 14; 9(5):e027663.
    View in: PubMed
    Score: 0.106
  18. Reducing vancomycin use utilizing a computer guideline: results of a randomized controlled trial. J Am Med Inform Assoc. 1998 Nov-Dec; 5(6):554-62.
    View in: PubMed
    Score: 0.102
  19. Does the computerized display of charges affect inpatient ancillary test utilization? Arch Intern Med. 1997 Nov 24; 157(21):2501-8.
    View in: PubMed
    Score: 0.096
  20. Changes in the quality of care during progress from stage 1 to stage 2 of Meaningful Use. J Am Med Inform Assoc. 2017 03 01; 24(2):394-397.
    View in: PubMed
    Score: 0.091
  21. User Requirements for a Chronic Kidney Disease Clinical Decision Support Tool to Promote Timely Referral. Int J Med Inform. 2017 05; 101:50-57.
    View in: PubMed
    Score: 0.091
  22. Understanding responses to a renal dosing decision support system in primary care. Stud Health Technol Inform. 2013; 192:931.
    View in: PubMed
    Score: 0.068
  23. 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: 0.064
  24. 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: 0.064
  25. Secondary use of electronic health record data: spontaneous triggered adverse drug event reporting. Pharmacoepidemiol Drug Saf. 2010 Dec; 19(12):1211-5.
    View in: PubMed
    Score: 0.059
  26. 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: 0.056
  27. The relationship between electronic health record use and quality of care over time. J Am Med Inform Assoc. 2009 Jul-Aug; 16(4):457-64.
    View in: PubMed
    Score: 0.053
  28. 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: 0.051
  29. Improving electronic health record (EHR) accuracy and increasing compliance with health maintenance clinical guidelines through patient access and input. Int J Med Inform. 2006 Oct-Nov; 75(10-11):693-700.
    View in: PubMed
    Score: 0.042
  30. Use and perceived benefits of handheld PDA clinical reference applications. AMIA Annu Symp Proc. 2005; 1099.
    View in: PubMed
    Score: 0.039
  31. Severe sepsis: variation in resource and therapeutic modality use among academic centers. Crit Care. 2003 Jun; 7(3):R24-34.
    View in: PubMed
    Score: 0.035
  32. Survey of primary care physicians and home care clinicians. J Gen Intern Med. 2002 Apr; 17(4):253-61.
    View in: PubMed
    Score: 0.032
  33. Comparison of time spent writing orders on paper with computerized physician order entry. Stud Health Technol Inform. 2001; 84(Pt 2):1207-11.
    View in: PubMed
    Score: 0.030
  34. Identifying drug safety issues: from research to practice. Int J Qual Health Care. 2000 Feb; 12(1):69-76.
    View in: PubMed
    Score: 0.028
  35. Improving allergy alerting in a computerized physician order entry system. Proc AMIA Symp. 2000; 2-6.
    View in: PubMed
    Score: 0.028
  36. Automated evidence-based critiquing of orders for abdominal radiographs: impact on utilization and appropriateness. J Am Med Inform Assoc. 1997 Nov-Dec; 4(6):511-21.
    View in: PubMed
    Score: 0.024
  37. Massachusetts e-Health Project increased physicians' ability to use registries, and signals progress toward better care. Health Aff (Millwood). 2011 Jul; 30(7):1256-64.
    View in: PubMed
    Score: 0.015
  38. 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
  39. 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: 0.009
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.