Connection

DAVID BATES to Electronic Health Records

This is a "connection" page, showing publications DAVID BATES has written about Electronic Health Records.
Connection Strength

28.691
  1. A genome-wide Association study of the Count of Codeine prescriptions. Sci Rep. 2024 10 01; 14(1):22780.
    View in: PubMed
    Score: 0.521
  2. The Safety of Outpatient Health Care : Review of Electronic Health Records. Ann Intern Med. 2024 06; 177(6):738-748.
    View in: PubMed
    Score: 0.507
  3. Virtual Scribes and Physician Time Spent on Electronic Health Records. JAMA Netw Open. 2024 05 01; 7(5):e2413140.
    View in: PubMed
    Score: 0.506
  4. How Safe are Outpatient Electronic Health Records? An Evaluation of Medication-Related Decision Support using the Ambulatory Electronic Health Record Evaluation Tool. Appl Clin Inform. 2023 10; 14(5):981-991.
    View in: PubMed
    Score: 0.493
  5. The Electronic Inbox-Benefits, Questions, and Solutions for the Road Ahead. JAMA. 2023 11 14; 330(18):1735-1736.
    View in: PubMed
    Score: 0.490
  6. System-Level Factors and Time Spent on Electronic Health Records by Primary Care Physicians. JAMA Netw Open. 2023 11 01; 6(11):e2344713.
    View in: PubMed
    Score: 0.489
  7. Electronic Health Record Transitions-How to Make Them Work. J Gen Intern Med. 2023 10; 38(Suppl 4):946-948.
    View in: PubMed
    Score: 0.486
  8. A Multiyear Survey Evaluating Clinician Electronic Health Record Satisfaction. Appl Clin Inform. 2023 08; 14(4):632-643.
    View in: PubMed
    Score: 0.482
  9. Quality and Safety: Learning from the Past and (Re)Imagining the Future. J Allergy Clin Immunol Pract. 2022 12; 10(12):3141-3144.
    View in: PubMed
    Score: 0.459
  10. Assessing hospital electronic health record vendor performance across publicly reported quality measures. J Am Med Inform Assoc. 2021 09 18; 28(10):2101-2107.
    View in: PubMed
    Score: 0.422
  11. Association of Hospital Public Quality Reporting With Electronic Health Record Medication Safety Performance. JAMA Netw Open. 2021 09 01; 4(9):e2125173.
    View in: PubMed
    Score: 0.421
  12. Differences in Clinician Electronic Health Record Use Across Adult and Pediatric Primary Care Specialties. JAMA Netw Open. 2021 07 01; 4(7):e2116375.
    View in: PubMed
    Score: 0.416
  13. Renal medication-related clinical decision support (CDS) alerts and overrides in the inpatient setting following implementation of a commercial electronic health record: implications for designing more effective alerts. J Am Med Inform Assoc. 2021 06 12; 28(6):1081-1087.
    View in: PubMed
    Score: 0.414
  14. Differences in Total and After-hours Electronic Health Record Time Across Ambulatory Specialties. JAMA Intern Med. 2021 06 01; 181(6):863-865.
    View in: PubMed
    Score: 0.413
  15. The Development and Piloting of the Ambulatory Electronic Health Record Evaluation Tool: Lessons Learned. Appl Clin Inform. 2021 01; 12(1):153-163.
    View in: PubMed
    Score: 0.406
  16. Introduction: Improvement and Measurement in the Era of Electronic Health Records. Ann Intern Med. 2020 06 02; 172(11 Suppl):S69-S72.
    View in: PubMed
    Score: 0.386
  17. Getting Value From Electronic Health Records: Research Needed to Improve Practice. Ann Intern Med. 2020 06 02; 172(11 Suppl):S130-S136.
    View in: PubMed
    Score: 0.386
  18. High-priority drug-drug interaction clinical decision support overrides in a newly implemented commercial computerized provider order-entry system: Override appropriateness and adverse drug events. J Am Med Inform Assoc. 2020 06 01; 27(6):893-900.
    View in: PubMed
    Score: 0.386
  19. National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018. JAMA Netw Open. 2020 05 01; 3(5):e205547.
    View in: PubMed
    Score: 0.384
  20. Technology-facilitated care coordination in rural areas: What is needed? Int J Med Inform. 2020 05; 137:104102.
    View in: PubMed
    Score: 0.378
  21. Late adopters of the electronic health record should move now. BMJ Qual Saf. 2020 03; 29(3):238-240.
    View in: PubMed
    Score: 0.372
  22. Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support. BMJ Qual Saf. 2020 01; 29(1):52-59.
    View in: PubMed
    Score: 0.363
  23. Potential of an Electronic Health Record-Integrated Patient Portal for Improving Care Plan Concordance during Acute Care. Appl Clin Inform. 2019 05; 10(3):358-366.
    View in: PubMed
    Score: 0.360
  24. Assessing EHR use during hospital morning rounds: A multi-faceted study. PLoS One. 2019; 14(2):e0212816.
    View in: PubMed
    Score: 0.353
  25. Improving Electronic Health Record Usability and Safety Requires Transparency. JAMA. 2018 Dec 25; 320(24):2533-2534.
    View in: PubMed
    Score: 0.349
  26. Closing the loop with an enhanced referral management system. J Am Med Inform Assoc. 2018 06 01; 25(6):715-721.
    View in: PubMed
    Score: 0.336
  27. Reduced Effectiveness of Interruptive Drug-Drug Interaction Alerts after Conversion to a Commercial Electronic Health Record. J Gen Intern Med. 2018 11; 33(11):1868-1876.
    View in: PubMed
    Score: 0.335
  28. 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: 0.325
  29. Leveraging the Electronic Health Record to Get Value from Referrals. Appl Clin Inform. 2017 10; 8(4):1054-1056.
    View in: PubMed
    Score: 0.325
  30. Using the Electronic Health Record to Understand and Minimize Overuse. JAMA. 2017 01 17; 317(3):257-258.
    View in: PubMed
    Score: 0.305
  31. Methods for Detecting Malfunctions in Clinical Decision Support Systems. Stud Health Technol Inform. 2017; 245:1385.
    View in: PubMed
    Score: 0.305
  32. 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: 0.290
  33. Drug allergies documented in electronic health records of a large healthcare system. Allergy. 2016 09; 71(9):1305-13.
    View in: PubMed
    Score: 0.289
  34. Analysis of clinical decision support system malfunctions: a case series and survey. J Am Med Inform Assoc. 2016 11; 23(6):1068-1076.
    View in: PubMed
    Score: 0.289
  35. Which Users Should Be the Focus of Mobile Personal Health Records? Analysis of User Characteristics Influencing Usage of a Tethered Mobile Personal Health Record. Telemed J E Health. 2016 05; 22(5):419-28.
    View in: PubMed
    Score: 0.280
  36. 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: 0.278
  37. Design of a cluster-randomized trial of electronic health record-based tools to address overweight and obesity in primary care. Clin Trials. 2015 Aug; 12(4):374-83.
    View in: PubMed
    Score: 0.269
  38. Impact of incorporating pharmacy claims data into electronic medication reconciliation. Am J Health Syst Pharm. 2015 Feb 01; 72(3):212-7.
    View in: PubMed
    Score: 0.267
  39. Organizational strategies for promoting patient and provider uptake of personal health records. J Am Med Inform Assoc. 2015 Jan; 22(1):213-22.
    View in: PubMed
    Score: 0.261
  40. 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: 0.259
  41. Adoption of electronic health records in UK hospitals: lessons from the USA. Lancet. 2014 Jul 05; 384(9937):8-9.
    View in: PubMed
    Score: 0.256
  42. A patient-centered longitudinal care plan: vision versus reality. J Am Med Inform Assoc. 2014 Nov-Dec; 21(6):1082-90.
    View in: PubMed
    Score: 0.256
  43. Meaningful use and quality of care. JAMA Intern Med. 2014 Jun; 174(6):997-8.
    View in: PubMed
    Score: 0.255
  44. Evaluation of medication alerts in electronic health records for compliance with human factors principles. J Am Med Inform Assoc. 2014 Oct; 21(e2):e332-40.
    View in: PubMed
    Score: 0.253
  45. A risk-based regulatory framework for health IT: recommendations of the FDASIA working group. J Am Med Inform Assoc. 2014 Oct; 21(e2):e181-4.
    View in: PubMed
    Score: 0.253
  46. Association of note quality and quality of care: a cross-sectional study. BMJ Qual Saf. 2014 May; 23(5):406-13.
    View in: PubMed
    Score: 0.246
  47. Using electronic health records to address overweight and obesity: a systematic review. Am J Prev Med. 2013 Oct; 45(4):494-500.
    View in: PubMed
    Score: 0.243
  48. Documentation and diagnosis of overweight and obesity in electronic health records of adult primary care patients. JAMA Intern Med. 2013 Sep 23; 173(17):1648-52.
    View in: PubMed
    Score: 0.243
  49. Using EHR data to predict hospital-acquired pressure ulcers: a prospective study of a Bayesian Network model. Int J Med Inform. 2013 Nov; 82(11):1059-67.
    View in: PubMed
    Score: 0.240
  50. Effect of electronic health records on health care costs: longitudinal comparative evidence from community practices. Ann Intern Med. 2013 Jul 16; 159(2):97-104.
    View in: PubMed
    Score: 0.240
  51. High-priority drug-drug interactions for use in electronic health records. J Am Med Inform Assoc. 2012 Sep-Oct; 19(5):735-43.
    View in: PubMed
    Score: 0.220
  52. Usability of a novel clinician interface for genetic results. J Biomed Inform. 2012 Oct; 45(5):950-7.
    View in: PubMed
    Score: 0.219
  53. Use of an electronic problem list by primary care providers and specialists. J Gen Intern Med. 2012 Aug; 27(8):968-73.
    View in: PubMed
    Score: 0.218
  54. 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.
    View in: PubMed
    Score: 0.215
  55. A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record. J Am Med Inform Assoc. 2011 Nov-Dec; 18(6):859-67.
    View in: PubMed
    Score: 0.206
  56. Development of a tool within the electronic medical record to facilitate medication reconciliation after hospital discharge. J Am Med Inform Assoc. 2011 May 01; 18(3):309-13.
    View in: PubMed
    Score: 0.206
  57. The digital divide in adoption and use of a personal health record. Arch Intern Med. 2011 Mar 28; 171(6):568-74.
    View in: PubMed
    Score: 0.204
  58. Leveraging electronic health records to support chronic disease management: the need for temporal data views. Inform Prim Care. 2011; 19(2):65-74.
    View in: PubMed
    Score: 0.201
  59. 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: 0.201
  60. 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: 0.200
  61. Outpatient adverse drug events identified by screening electronic health records. J Patient Saf. 2010 Jun; 6(2):91-6.
    View in: PubMed
    Score: 0.193
  62. The future of health information technology in the patient-centered medical home. Health Aff (Millwood). 2010 Apr; 29(4):614-21.
    View in: PubMed
    Score: 0.191
  63. Can electronic clinical documentation help prevent diagnostic errors? N Engl J Med. 2010 Mar 25; 362(12):1066-9.
    View in: PubMed
    Score: 0.190
  64. Changes in Clinician Time Expenditure and Visit Quantity With Adoption of Artificial Intelligence-Powered Scribes: A Multisite Study. JAMA. 2026 04 28; 335(16):1408-1417.
    View in: PubMed
    Score: 0.145
  65. Testing and evaluation of generative large language models in electronic health record applications: a systematic review. J Am Med Inform Assoc. 2026 Mar 01; 33(3):743-753.
    View in: PubMed
    Score: 0.144
  66. Changes In Primary Care Physicians' Electronic Health Record Patterns After They Reduced Clinical Visit Volume. Health Aff (Millwood). 2026 Feb; 45(2):138-145.
    View in: PubMed
    Score: 0.143
  67. Primary Care Physician Time Spent in Patient Care: An Observational Study Using Electronic Health Record Logs. Ann Intern Med. 2025 Dec; 178(12):1688-1697.
    View in: PubMed
    Score: 0.140
  68. Development of an Algorithm for Estimating the Likelihood of Venous Thromboembolism in Primary Care Using Structured and Unstructured Electronic Health Record Data. Am J Hematol. 2025 12; 100(12):2238-2247.
    View in: PubMed
    Score: 0.140
  69. Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review. Int J Med Inform. 2026 Jan; 205:106091.
    View in: PubMed
    Score: 0.139
  70. Clinician Perceptions of Virtual Scribe Use: A Survey Study. J Gen Intern Med. 2026 04; 41(5):1229-1237.
    View in: PubMed
    Score: 0.138
  71. Ambient Documentation Technology in Clinician Experience of Documentation Burden and Burnout. JAMA Netw Open. 2025 Aug 01; 8(8):e2528056.
    View in: PubMed
    Score: 0.138
  72. Frequency and preventability of adverse drug events in the outpatient setting. BMJ Qual Saf. 2025 Jul 18; 34(8):499-506.
    View in: PubMed
    Score: 0.138
  73. Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study. JMIR Med Inform. 2025 May 26; 13:e60191.
    View in: PubMed
    Score: 0.136
  74. Foundation model of electronic medical records for adaptive risk estimation. Gigascience. 2025 01 06; 14.
    View in: PubMed
    Score: 0.133
  75. Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes. EBioMedicine. 2024 Nov; 109:105401.
    View in: PubMed
    Score: 0.131
  76. Accurately identifying incident cases of venous thromboembolism in the electronic health record: Performance of a novel phenotyping algorithm. Thromb Res. 2024 11; 243:109143.
    View in: PubMed
    Score: 0.130
  77. Factors Associated with Completeness of Sex and Gender Fields in Electronic Health Records. LGBT Health. 2025 Apr; 12(3):212-219.
    View in: PubMed
    Score: 0.129
  78. Utilization of electronic health record sex and gender demographic fields: a metadata and mixed methods analysis. J Am Med Inform Assoc. 2024 04 03; 31(4):910-918.
    View in: PubMed
    Score: 0.126
  79. Racism and Electronic Health Records (EHRs): Perspectives for research and practice. J Am Med Inform Assoc. 2023 04 19; 30(5):995-999.
    View in: PubMed
    Score: 0.118
  80. Development and validation of algorithms to build an electronic health record based cohort of patients with systemic sclerosis. PLoS One. 2023; 18(4):e0283775.
    View in: PubMed
    Score: 0.118
  81. Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding. J Am Med Inform Assoc. 2023 02 16; 30(3):438-446.
    View in: PubMed
    Score: 0.116
  82. Dynamic reaction picklist for improving allergy reaction documentation: A usability study. Int J Med Inform. 2023 02; 170:104939.
    View in: PubMed
    Score: 0.115
  83. Physician Note Composition Patterns and Time on the EHR Across Specialty Types: a National, Cross-sectional Study. J Gen Intern Med. 2023 04; 38(5):1119-1126.
    View in: PubMed
    Score: 0.115
  84. Documentation dynamics: Note composition, burden, and physician efficiency. Health Serv Res. 2023 06; 58(3):674-685.
    View in: PubMed
    Score: 0.114
  85. Electronic Health Record Legal Settlements in the US Since the 2009 Health Information Technology for Economic and Clinical Health Act. JAMA Health Forum. 2022 11 04; 3(11):e223872.
    View in: PubMed
    Score: 0.114
  86. Association Between Electronic Health Record Time and Quality of Care Metrics in Primary Care. JAMA Netw Open. 2022 10 03; 5(10):e2237086.
    View in: PubMed
    Score: 0.113
  87. Using the Electronic Health Record User Context in Clinical Decision Support Criteria. Appl Clin Inform. 2022 08; 13(4):910-915.
    View in: PubMed
    Score: 0.113
  88. Usability of a perioperative medication-related clinical decision support software application: a randomized controlled trial. J Am Med Inform Assoc. 2022 07 12; 29(8):1416-1424.
    View in: PubMed
    Score: 0.112
  89. Assessment of Satisfaction With the Electronic Health Record Among Physicians in Physician-Owned vs Non-Physician-Owned Practices. JAMA Netw Open. 2022 04 01; 5(4):e228301.
    View in: PubMed
    Score: 0.110
  90. Examination of Stigmatizing Language in the Electronic Health Record. JAMA Netw Open. 2022 01 04; 5(1):e2144967.
    View in: PubMed
    Score: 0.108
  91. PASCLex: A comprehensive post-acute sequelae of COVID-19 (PASC) symptom lexicon derived from electronic health record clinical notes. J Biomed Inform. 2022 01; 125:103951.
    View in: PubMed
    Score: 0.107
  92. User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care. J Am Med Inform Assoc. 2021 10 12; 28(11):2433-2444.
    View in: PubMed
    Score: 0.106
  93. Embedding, aligning and reconstructing clinical notes to explore sepsis. BMC Res Notes. 2021 Apr 14; 14(1):136.
    View in: PubMed
    Score: 0.102
  94. Comparison of Medication Alerts from Two Commercial Applications in the USA. Drug Saf. 2021 06; 44(6):661-668.
    View in: PubMed
    Score: 0.101
  95. Assessment of Electronic Health Record Use Between US and Non-US Health Systems. JAMA Intern Med. 2021 02 01; 181(2):251-259.
    View in: PubMed
    Score: 0.101
  96. Association of Display of Patient Photographs in the Electronic Health Record With Wrong-Patient Order Entry Errors. JAMA Netw Open. 2020 11 02; 3(11):e2019652.
    View in: PubMed
    Score: 0.099
  97. Characteristics of Patients Using Patient-Facing Application Programming Interface Technology at a US Health Care System. JAMA Netw Open. 2020 10 01; 3(10):e2022408.
    View in: PubMed
    Score: 0.099
  98. Genome-wide association analysis of opioid use disorder: A novel approach using clinical data. Drug Alcohol Depend. 2020 12 01; 217:108276.
    View in: PubMed
    Score: 0.098
  99. The tradeoffs between safety and alert fatigue: Data from a national evaluation of hospital medication-related clinical decision support. J Am Med Inform Assoc. 2020 08 01; 27(8):1252-1258.
    View in: PubMed
    Score: 0.098
  100. Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center. J Am Med Inform Assoc. 2020 02 01; 27(2):301-307.
    View in: PubMed
    Score: 0.094
  101. Use, Perceived Usability, and Barriers to Implementation of a Patient Safety Dashboard Integrated within a Vendor EHR. Appl Clin Inform. 2020 01; 11(1):34-45.
    View in: PubMed
    Score: 0.094
  102. Comparing Characteristics of Patients Who Connect Their iPhones to an Electronic Health Records System Versus Patients Who Connect Without Personal Devices: Cohort Study. J Med Internet Res. 2019 08 22; 21(8):e14871.
    View in: PubMed
    Score: 0.091
  103. Using Cognitive Load Theory to Improve Posthospitalization Follow-Up Visits. Appl Clin Inform. 2019 08; 10(4):610-614.
    View in: PubMed
    Score: 0.091
  104. A clinician survey of using speech recognition for clinical documentation in the electronic health record. Int J Med Inform. 2019 10; 130:103938.
    View in: PubMed
    Score: 0.091
  105. Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital. J Am Med Inform Assoc. 2019 06 01; 26(6):553-560.
    View in: PubMed
    Score: 0.090
  106. 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: 0.090
  107. Drug-Induced Anaphylaxis Documented in Electronic Health Records. J Allergy Clin Immunol Pract. 2019 01; 7(1):103-111.
    View in: PubMed
    Score: 0.084
  108. A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc. 2018 06 01; 25(6):661-669.
    View in: PubMed
    Score: 0.084
  109. Physician Burnout in the Electronic Health Record Era: Are We Ignoring the Real Cause? Ann Intern Med. 2018 07 03; 169(1):50-51.
    View in: PubMed
    Score: 0.084
  110. Improving Adoption of EHRs in Psychiatric Care. N Engl J Med. 2018 May 03; 378(18):1665-1667.
    View in: PubMed
    Score: 0.083
  111. Physician and patient tools to improve chronic kidney disease care. Am J Manag Care. 2018 04 01; 24(4):e107-e114.
    View in: PubMed
    Score: 0.083
  112. Prospective evaluation of medication-related clinical decision support over-rides in the intensive care unit. BMJ Qual Saf. 2018 09; 27(9):718-724.
    View in: PubMed
    Score: 0.082
  113. High-priority and low-priority drug-drug interactions in different international electronic health record systems: A comparative study. Int J Med Inform. 2018 03; 111:165-171.
    View in: PubMed
    Score: 0.082
  114. Core Components for a Clinically Integrated mHealth App for Asthma Symptom Monitoring. Appl Clin Inform. 2017 10; 8(4):1031-1043.
    View in: PubMed
    Score: 0.081
  115. 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: 0.079
  116. Prevalence of food allergies and intolerances documented in electronic health records. J Allergy Clin Immunol. 2017 Dec; 140(6):1587-1591.e1.
    View in: PubMed
    Score: 0.078
  117. Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention. J Am Med Inform Assoc. 2017 Mar 01; 24(2):339-344.
    View in: PubMed
    Score: 0.077
  118. The Benefits and Challenges of an Interfaced Electronic Health Record and Laboratory Information System: Effects on Laboratory Processes. Arch Pathol Lab Med. 2017 Mar; 141(3):410-417.
    View in: PubMed
    Score: 0.077
  119. A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure. Clin J Am Soc Nephrol. 2016 12 07; 11(12):2150-2158.
    View in: PubMed
    Score: 0.075
  120. The Big Phish: Cyberattacks Against U.S. Healthcare Systems. J Gen Intern Med. 2016 10; 31(10):1115-8.
    View in: PubMed
    Score: 0.075
  121. Significant Reduction in Preanalytical Errors for Nonphlebotomy Blood Draws After Implementation of a Novel Integrated Specimen Collection Module. Am J Clin Pathol. 2016 Oct; 146(4):456-61.
    View in: PubMed
    Score: 0.075
  122. Clinical reasoning in the context of active decision support during medication prescribing. Int J Med Inform. 2017 01; 97:1-11.
    View in: PubMed
    Score: 0.075
  123. Pharmacosurveillance without borders: electronic health records in different countries can be used to address important methodological issues in estimating the risk of adverse events. J Clin Epidemiol. 2016 09; 77:101-111.
    View in: PubMed
    Score: 0.073
  124. Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience. J Am Med Inform Assoc. 2016 05; 23(3):601-8.
    View in: PubMed
    Score: 0.070
  125. 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: 0.069
  126. Diabetes Screening Reminder for Women With Prior Gestational Diabetes: A Randomized Controlled Trial. Obstet Gynecol. 2015 Jul; 126(1):109-14.
    View in: PubMed
    Score: 0.069
  127. 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: 0.068
  128. Increasing patient engagement: patients' responses to viewing problem lists online. Appl Clin Inform. 2014; 5(4):930-42.
    View in: PubMed
    Score: 0.066
  129. Using electronic health record clinical decision support is associated with improved quality of care. Am J Manag Care. 2014 Oct 01; 20(10):e445-52.
    View in: PubMed
    Score: 0.065
  130. Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff (Millwood). 2014 Jul; 33(7):1123-31.
    View in: PubMed
    Score: 0.064
  131. In search of a few good apps. JAMA. 2014 May 14; 311(18):1851-2.
    View in: PubMed
    Score: 0.063
  132. Relationship between documentation method and quality of chronic disease visit notes. Appl Clin Inform. 2014; 5(2):480-90.
    View in: PubMed
    Score: 0.063
  133. Electronic problem list documentation of chronic kidney disease and quality of care. BMC Nephrol. 2014 May 04; 15:70.
    View in: PubMed
    Score: 0.063
  134. Care partners and online patient portals. JAMA. 2014 Jan 22-29; 311(4):357-8.
    View in: PubMed
    Score: 0.062
  135. Safe use of electronic health records and health information technology systems: trust but verify. J Patient Saf. 2013 Dec; 9(4):177-89.
    View in: PubMed
    Score: 0.061
  136. The current capabilities of health information technology to support care transitions. AMIA Annu Symp Proc. 2013; 2013:1231.
    View in: PubMed
    Score: 0.061
  137. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014 May-Jun; 21(3):487-91.
    View in: PubMed
    Score: 0.061
  138. EHR adoption across China's tertiary hospitals: a cross-sectional observational study. Int J Med Inform. 2014 Feb; 83(2):113-21.
    View in: PubMed
    Score: 0.060
  139. Comparing electronic health record portals to obtain patient-entered family health history in primary care. J Gen Intern Med. 2013 Dec; 28(12):1558-64.
    View in: PubMed
    Score: 0.059
  140. Use of a web-based risk appraisal tool for assessing family history and lifestyle factors in primary care. J Gen Intern Med. 2013 Jun; 28(6):817-24.
    View in: PubMed
    Score: 0.058
  141. National efforts to improve health information system safety in Canada, the United States of America and England. Int J Med Inform. 2013 May; 82(5):e149-60.
    View in: PubMed
    Score: 0.058
  142. Active pharmacovigilance and healthcare utilization. Am J Manag Care. 2012 11 01; 18(11):e423-8.
    View in: PubMed
    Score: 0.057
  143. 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: 0.054
  144. 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: 0.054
  145. A survey of health information exchange organizations in the United States: implications for meaningful use. Ann Intern Med. 2011 May 17; 154(10):666-71.
    View in: PubMed
    Score: 0.052
  146. A qualitative study of Canada's experience with the implementation of electronic health information technology. CMAJ. 2011 Mar 22; 183(5):E281-8.
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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.