Connection

DAVID BATES to Medical Records Systems, Computerized

This is a "connection" page, showing publications DAVID BATES has written about Medical Records Systems, Computerized.
  1. Relationship between use of electronic health record features and health care quality: results of a statewide survey. Med Care. 2010 Mar; 48(3):203-9.
    View in: PubMed
    Score: 0.316
  2. 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: 0.298
  3. Understanding the decisions and values of stakeholders in health information exchanges: experiences from Massachusetts. Am J Public Health. 2009 May; 99(5):950-5.
    View in: PubMed
    Score: 0.296
  4. Community-wide implementation of health information technology: the Massachusetts eHealth Collaborative experience. J Am Med Inform Assoc. 2009 Jan-Feb; 16(1):132-9.
    View in: PubMed
    Score: 0.288
  5. A research agenda for personal health records (PHRs). J Am Med Inform Assoc. 2008 Nov-Dec; 15(6):729-36.
    View in: PubMed
    Score: 0.285
  6. 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: 0.274
  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: 0.272
  8. Electronic health records in specialty care: a time-motion study. J Am Med Inform Assoc. 2007 Sep-Oct; 14(5):609-15.
    View in: PubMed
    Score: 0.263
  9. An effort to improve electronic health record medication list accuracy between visits: patients' and physicians' response. Int J Med Inform. 2008 Mar; 77(3):153-60.
    View in: PubMed
    Score: 0.259
  10. Physicians and electronic health records: a statewide survey. Arch Intern Med. 2007 Mar 12; 167(5):507-12.
    View in: PubMed
    Score: 0.257
  11. 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: 0.254
  12. Adverse drug event detection in a community hospital utilising computerised medication and laboratory data. Drug Saf. 2007; 30(9):817-24.
    View in: PubMed
    Score: 0.254
  13. 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: 0.254
  14. 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: 0.251
  15. The electronic health record (EHR) in specialty care: a time-motion study. AMIA Annu Symp Proc. 2006; 1014.
    View in: PubMed
    Score: 0.237
  16. 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: 0.236
  17. Physicians and ambulatory electronic health records. Health Aff (Millwood). 2005 Sep-Oct; 24(5):1180-9.
    View in: PubMed
    Score: 0.231
  18. 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: 0.225
  19. How accurate is information that patients contribute to their Electronic Health Record? AMIA Annu Symp Proc. 2005; 834-8.
    View in: PubMed
    Score: 0.221
  20. Primary care clinician attitudes towards ambulatory computerized physician order entry. AMIA Annu Symp Proc. 2005; 961.
    View in: PubMed
    Score: 0.221
  21. Impact of an Electronic Health Record on oncologists' clinic time. AMIA Annu Symp Proc. 2005; 1083.
    View in: PubMed
    Score: 0.221
  22. Patients' perceptions of a Web portal offering clinic messaging and personal health information. AMIA Annu Symp Proc. 2005; 1147.
    View in: PubMed
    Score: 0.221
  23. 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: 0.220
  24. "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: 0.219
  25. Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion. J Am Med Inform Assoc. 2005 Jan-Feb; 12(1):8-12.
    View in: PubMed
    Score: 0.218
  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: 0.206
  27. A cost-benefit analysis of electronic medical records in primary care. Am J Med. 2003 Apr 01; 114(5):397-403.
    View in: PubMed
    Score: 0.196
  28. Electronically screening discharge summaries for adverse medical events. J Am Med Inform Assoc. 2003 Jul-Aug; 10(4):339-50.
    View in: PubMed
    Score: 0.196
  29. Detecting adverse events using information technology. J Am Med Inform Assoc. 2003 Mar-Apr; 10(2):115-28.
    View in: PubMed
    Score: 0.195
  30. Effective drug-allergy checking: methodological and operational issues. J Biomed Inform. 2003 Feb-Apr; 36(1-2):70-9.
    View in: PubMed
    Score: 0.193
  31. A proposal for electronic medical records in U.S. primary care. J Am Med Inform Assoc. 2003 Jan-Feb; 10(1):1-10.
    View in: PubMed
    Score: 0.192
  32. Creating an enterprise-wide allergy repository at Partners HealthCare System. AMIA Annu Symp Proc. 2003; 376-80.
    View in: PubMed
    Score: 0.192
  33. Patient safety and computerized medication ordering at Brigham and Women's Hospital. Jt Comm J Qual Improv. 2001 Oct; 27(10):509-21.
    View in: PubMed
    Score: 0.176
  34. How can information technology improve patient safety and reduce medication errors in children's health care? Arch Pediatr Adolesc Med. 2001 Sep; 155(9):1002-7.
    View in: PubMed
    Score: 0.175
  35. 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: 0.174
  36. 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: 0.167
  37. Effects of computerized physician order entry on prescribing practices. Arch Intern Med. 2000 Oct 09; 160(18):2741-7.
    View in: PubMed
    Score: 0.165
  38. A systematic review of the impact of health information technology on nurses' time. J Am Med Inform Assoc. 2020 05 01; 27(5):798-807.
    View in: PubMed
    Score: 0.160
  39. Asking residents about adverse events in a computer dialogue: how accurate are they? Jt Comm J Qual Improv. 1998 Apr; 24(4):197-202.
    View in: PubMed
    Score: 0.138
  40. 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: 0.136
  41. Commentary: quality, costs, privacy and electronic medical data. J Law Med Ethics. 1997 Summer-Fall; 25(2-3):111-2, 82.
    View in: PubMed
    Score: 0.131
  42. The Big Phish: Cyberattacks Against U.S. Healthcare Systems. J Gen Intern Med. 2016 10; 31(10):1115-8.
    View in: PubMed
    Score: 0.125
  43. Adoption of electronic health records in UK hospitals: lessons from the USA. Lancet. 2014 Jul 05; 384(9937):8-9.
    View in: PubMed
    Score: 0.107
  44. 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: 0.104
  45. The rise and fall of England's National Programme for IT. J R Soc Med. 2011 Nov; 104(11):434-5.
    View in: PubMed
    Score: 0.089
  46. 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: 0.087
  47. The efficacy of computer-enabled discharge communication interventions: a systematic review. BMJ Qual Saf. 2011 May; 20(5):403-15.
    View in: PubMed
    Score: 0.084
  48. Can electronic clinical documentation help prevent diagnostic errors? N Engl J Med. 2010 Mar 25; 362(12):1066-9.
    View in: PubMed
    Score: 0.079
  49. 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: 0.078
  50. Ability to generate patient registries among practices with and without electronic health records. J Med Internet Res. 2009 Aug 10; 11(3):e31.
    View in: PubMed
    Score: 0.076
  51. 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: 0.074
  52. Electronic health records and malpractice claims in office practice. Arch Intern Med. 2008 Nov 24; 168(21):2362-7.
    View in: PubMed
    Score: 0.072
  53. Do electronic health records create more errors than they prevent? AMIA Annu Symp Proc. 2008 Nov 06; 1143.
    View in: PubMed
    Score: 0.072
  54. 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: 0.072
  55. Commentary: nursing and health information technology. Nurs Outlook. 2008 Sep-Oct; 56(5):237.
    View in: PubMed
    Score: 0.071
  56. 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: 0.071
  57. Impact of an automated test results management system on patients' satisfaction about test result communication. Arch Intern Med. 2007 Nov 12; 167(20):2233-9.
    View in: PubMed
    Score: 0.067
  58. 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: 0.067
  59. Electronic health record use and the quality of ambulatory care in the United States. Arch Intern Med. 2007 Jul 09; 167(13):1400-5.
    View in: PubMed
    Score: 0.066
  60. Leveraging information technology to improve quality and safety. Yearb Med Inform. 2007; 22-9.
    View in: PubMed
    Score: 0.063
  61. Adherence to black box warnings for prescription medications in outpatients. Arch Intern Med. 2006 Feb 13; 166(3):338-44.
    View in: PubMed
    Score: 0.060
  62. 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: 0.059
  63. Functional gaps in attaining a national health information network. Health Aff (Millwood). 2005 Sep-Oct; 24(5):1281-9.
    View in: PubMed
    Score: 0.058
  64. Somatization increases medical utilization and costs independent of psychiatric and medical comorbidity. Arch Gen Psychiatry. 2005 Aug; 62(8):903-10.
    View in: PubMed
    Score: 0.058
  65. 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: 0.055
  66. Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system. J Am Med Inform Assoc. 2004 Nov-Dec; 11(6):482-91.
    View in: PubMed
    Score: 0.054
  67. 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: 0.053
  68. Automated coded ambulatory problem lists: evaluation of a vocabulary and a data entry tool. Int J Med Inform. 2003 Dec; 72(1-3):17-28.
    View in: PubMed
    Score: 0.051
  69. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003 Jun 23; 163(12):1409-16.
    View in: PubMed
    Score: 0.050
  70. Improving safety with information technology. N Engl J Med. 2003 Jun 19; 348(25):2526-34.
    View in: PubMed
    Score: 0.050
  71. Design and implementation of a comprehensive outpatient Results Manager. J Biomed Inform. 2003 Feb-Apr; 36(1-2):80-91.
    View in: PubMed
    Score: 0.048
  72. Primary care clinician attitudes towards electronic clinical reminders and clinical practice guidelines. AMIA Annu Symp Proc. 2003; 848.
    View in: PubMed
    Score: 0.048
  73. Overcoming the barriers to the implementing computerized physician order entry systems in US hospitals: perspectives from senior management. AMIA Annu Symp Proc. 2003; 975.
    View in: PubMed
    Score: 0.048
  74. Supporting patient care beyond the clinical encounter: three informatics innovations from partners health care. AMIA Annu Symp Proc. 2003; 1072.
    View in: PubMed
    Score: 0.048
  75. End of visit: design considerations for an ambulatory order entry module. Proc AMIA Symp. 2002; 864-8.
    View in: PubMed
    Score: 0.045
  76. Reducing the frequency of errors in medicine using information technology. J Am Med Inform Assoc. 2001 Jul-Aug; 8(4):299-308.
    View in: PubMed
    Score: 0.043
  77. Improving allergy alerting in a computerized physician order entry system. Proc AMIA Symp. 2000; 2-6.
    View in: PubMed
    Score: 0.039
  78. The impact of computerized physician order entry on medication error prevention. J Am Med Inform Assoc. 1999 Jul-Aug; 6(4):313-21.
    View in: PubMed
    Score: 0.038
  79. Effect of Restriction of the Number of Concurrently Open Records in an Electronic Health Record on Wrong-Patient Order Errors: A Randomized Clinical Trial. JAMA. 2019 05 14; 321(18):1780-1787.
    View in: PubMed
    Score: 0.037
  80. Analysis of Errors in Dictated Clinical Documents Assisted by Speech Recognition Software and Professional Transcriptionists. JAMA Netw Open. 2018 07; 1(3):e180530.
    View in: PubMed
    Score: 0.035
  81. Clinical decision support alert malfunctions: analysis and empirically derived taxonomy. J Am Med Inform Assoc. 2018 05 01; 25(5):496-506.
    View in: PubMed
    Score: 0.035
  82. Clinical decision support: making the transition from the hospital to the community network. Healthc Inf Manage. 1997; 11(4):27-37.
    View in: PubMed
    Score: 0.032
  83. 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: 0.030
  84. How many medication orders are entered through free-text in EHRs?--a study on hypoglycemic agents. AMIA Annu Symp Proc. 2012; 2012:1079-88.
    View in: PubMed
    Score: 0.024
  85. Creating and sharing clinical decision support content with Web 2.0: Issues and examples. J Biomed Inform. 2009 Apr; 42(2):334-46.
    View in: PubMed
    Score: 0.018
  86. A randomized trial of electronic clinical reminders to improve medication laboratory monitoring. J Am Med Inform Assoc. 2008 Jul-Aug; 15(4):424-9.
    View in: PubMed
    Score: 0.017
  87. E-Prescribing collaboration in Massachusetts: early experiences from regional prescribing projects. J Am Med Inform Assoc. 2006 May-Jun; 13(3):239-44.
    View in: PubMed
    Score: 0.015
  88. 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: 0.015
  89. KnowledgeLink: impact of context-sensitive information retrieval on clinicians' information needs. J Am Med Inform Assoc. 2006 Jan-Feb; 13(1):67-73.
    View in: PubMed
    Score: 0.015
  90. Acute infections in primary care: accuracy of electronic diagnoses and electronic antibiotic prescribing. J Am Med Inform Assoc. 2006 Jan-Feb; 13(1):61-6.
    View in: PubMed
    Score: 0.015
  91. The costs of a national health information network. Ann Intern Med. 2005 Aug 02; 143(3):165-73.
    View in: PubMed
    Score: 0.014
  92. Health care IT collaboration in Massachusetts: the experience of creating regional connectivity. J Am Med Inform Assoc. 2005 Nov-Dec; 12(6):596-601.
    View in: PubMed
    Score: 0.014
  93. Improving override rates for computerized prescribing alerts in ambulatory care. AMIA Annu Symp Proc. 2005; 1110.
    View in: PubMed
    Score: 0.014
  94. KnowledgeLink update: just-in-time context-sensitive information retrieval. AMIA Annu Symp Proc. 2003; 902.
    View in: PubMed
    Score: 0.012
  95. A clinical information systems strategy for a large integrated delivery network. Proc AMIA Symp. 2000; 438-42.
    View in: PubMed
    Score: 0.010
  96. The Brigham integrated computing system (BICS): advanced clinical systems in an academic hospital environment. Int J Med Inform. 1999 Jun; 54(3):197-208.
    View in: PubMed
    Score: 0.009
  97. Representing hospital events as complex conditionals. Proc Annu Symp Comput Appl Med Care. 1995; 137-41.
    View in: PubMed
    Score: 0.007
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.