Connection

DAVID BATES to Electronic Health Records

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

29.143
  1. A genome-wide Association study of the Count of Codeine prescriptions. Sci Rep. 2024 10 01; 14(1):22780.
    View in: PubMed
    Score: 0.534
  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: 0.520
  3. Virtual Scribes and Physician Time Spent on Electronic Health Records. JAMA Netw Open. 2024 05 01; 7(5):e2413140.
    View in: PubMed
    Score: 0.519
  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: 0.505
  5. The Electronic Inbox-Benefits, Questions, and Solutions for the Road Ahead. JAMA. 2023 11 14; 330(18):1735-1736.
    View in: PubMed
    Score: 0.503
  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: 0.501
  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: 0.499
  8. A Multiyear Survey Evaluating Clinician Electronic Health Record Satisfaction. Appl Clin Inform. 2023 08; 14(4):632-643.
    View in: PubMed
    Score: 0.494
  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: 0.471
  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: 0.433
  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: 0.432
  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: 0.427
  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: 0.425
  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: 0.424
  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: 0.417
  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: 0.396
  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: 0.396
  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: 0.396
  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: 0.393
  20. Technology-facilitated care coordination in rural areas: What is needed? Int J Med Inform. 2020 05; 137:104102.
    View in: PubMed
    Score: 0.388
  21. Late adopters of the electronic health record should move now. BMJ Qual Saf. 2020 03; 29(3):238-240.
    View in: PubMed
    Score: 0.381
  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: 0.372
  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: 0.369
  24. Assessing EHR use during hospital morning rounds: A multi-faceted study. PLoS One. 2019; 14(2):e0212816.
    View in: PubMed
    Score: 0.363
  25. Improving Electronic Health Record Usability and Safety Requires Transparency. JAMA. 2018 Dec 25; 320(24):2533-2534.
    View in: PubMed
    Score: 0.358
  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: 0.344
  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: 0.343
  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: 0.334
  29. Leveraging the Electronic Health Record to Get Value from Referrals. Appl Clin Inform. 2017 10; 8(4):1054-1056.
    View in: PubMed
    Score: 0.334
  30. Using the Electronic Health Record to Understand and Minimize Overuse. JAMA. 2017 01 17; 317(3):257-258.
    View in: PubMed
    Score: 0.313
  31. Methods for Detecting Malfunctions in Clinical Decision Support Systems. Stud Health Technol Inform. 2017; 245:1385.
    View in: PubMed
    Score: 0.312
  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: 0.297
  33. Drug allergies documented in electronic health records of a large healthcare system. Allergy. 2016 09; 71(9):1305-13.
    View in: PubMed
    Score: 0.297
  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: 0.296
  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: 0.287
  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: 0.286
  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: 0.276
  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: 0.273
  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: 0.268
  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: 0.265
  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: 0.263
  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: 0.263
  43. Meaningful use and quality of care. JAMA Intern Med. 2014 Jun; 174(6):997-8.
    View in: PubMed
    Score: 0.261
  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: 0.259
  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: 0.259
  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: 0.252
  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: 0.249
  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: 0.249
  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: 0.246
  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: 0.246
  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: 0.226
  52. Usability of a novel clinician interface for genetic results. J Biomed Inform. 2012 Oct; 45(5):950-7.
    View in: PubMed
    Score: 0.225
  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: 0.224
  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: 0.221
  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: 0.212
  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: 0.211
  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: 0.209
  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: 0.206
  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: 0.206
  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: 0.205
  61. Outpatient adverse drug events identified by screening electronic health records. J Patient Saf. 2010 Jun; 6(2):91-6.
    View in: PubMed
    Score: 0.198
  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: 0.196
  63. Can electronic clinical documentation help prevent diagnostic errors? N Engl J Med. 2010 Mar 25; 362(12):1066-9.
    View in: PubMed
    Score: 0.195
  64. 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: 0.147
  65. 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: 0.147
  66. 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: 0.144
  67. 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 Dec; 100(12):2238-2247.
    View in: PubMed
    Score: 0.143
  68. 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: 0.142
  69. Clinician Perceptions of Virtual Scribe Use: A Survey Study. J Gen Intern Med. 2026 Apr; 41(5):1229-1237.
    View in: PubMed
    Score: 0.142
  70. Ambient Documentation Technology in Clinician Experience of Documentation Burden and Burnout. JAMA Netw Open. 2025 Aug 01; 8(8):e2528056.
    View in: PubMed
    Score: 0.142
  71. 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: 0.141
  72. 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: 0.140
  73. 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: 0.134
  74. 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: 0.133
  75. 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: 0.132
  76. 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: 0.129
  77. 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: 0.121
  78. 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: 0.121
  79. 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: 0.119
  80. Dynamic reaction picklist for improving allergy reaction documentation: A usability study. Int J Med Inform. 2023 02; 170:104939.
    View in: PubMed
    Score: 0.118
  81. 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: 0.117
  82. Documentation dynamics: Note composition, burden, and physician efficiency. Health Serv Res. 2023 06; 58(3):674-685.
    View in: PubMed
    Score: 0.117
  83. 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: 0.117
  84. 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: 0.116
  85. 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: 0.116
  86. 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: 0.115
  87. 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: 0.112
  88. Examination of Stigmatizing Language in the Electronic Health Record. JAMA Netw Open. 2022 01 04; 5(1):e2144967.
    View in: PubMed
    Score: 0.110
  89. 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: 0.109
  90. 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: 0.109
  91. Embedding, aligning and reconstructing clinical notes to explore sepsis. BMC Res Notes. 2021 Apr 14; 14(1):136.
    View in: PubMed
    Score: 0.105
  92. Comparison of Medication Alerts from Two Commercial Applications in the USA. Drug Saf. 2021 06; 44(6):661-668.
    View in: PubMed
    Score: 0.104
  93. 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: 0.104
  94. 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: 0.102
  95. 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: 0.101
  96. 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: 0.101
  97. 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: 0.100
  98. 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: 0.097
  99. 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: 0.096
  100. 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: 0.094
  101. Using Cognitive Load Theory to Improve Posthospitalization Follow-Up Visits. Appl Clin Inform. 2019 08; 10(4):610-614.
    View in: PubMed
    Score: 0.094
  102. 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: 0.093
  103. 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: 0.092
  104. 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: 0.092
  105. Drug-Induced Anaphylaxis Documented in Electronic Health Records. J Allergy Clin Immunol Pract. 2019 01; 7(1):103-111.
    View in: PubMed
    Score: 0.087
  106. 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: 0.086
  107. 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: 0.086
  108. Improving Adoption of EHRs in Psychiatric Care. N Engl J Med. 2018 May 03; 378(18):1665-1667.
    View in: PubMed
    Score: 0.086
  109. 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: 0.085
  110. 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: 0.084
  111. 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: 0.084
  112. 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: 0.083
  113. 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: 0.081
  114. 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: 0.080
  115. 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: 0.079
  116. 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: 0.079
  117. 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: 0.077
  118. The Big Phish: Cyberattacks Against U.S. Healthcare Systems. J Gen Intern Med. 2016 10; 31(10):1115-8.
    View in: PubMed
    Score: 0.077
  119. 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: 0.077
  120. 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: 0.077
  121. 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: 0.075
  122. 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: 0.072
  123. 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: 0.071
  124. 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: 0.070
  125. 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: 0.069
  126. Increasing patient engagement: patients' responses to viewing problem lists online. Appl Clin Inform. 2014; 5(4):930-42.
    View in: PubMed
    Score: 0.068
  127. 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: 0.067
  128. 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: 0.066
  129. In search of a few good apps. JAMA. 2014 May 14; 311(18):1851-2.
    View in: PubMed
    Score: 0.065
  130. Relationship between documentation method and quality of chronic disease visit notes. Appl Clin Inform. 2014; 5(2):480-90.
    View in: PubMed
    Score: 0.065
  131. Electronic problem list documentation of chronic kidney disease and quality of care. BMC Nephrol. 2014 May 04; 15:70.
    View in: PubMed
    Score: 0.065
  132. Care partners and online patient portals. JAMA. 2014 Jan 22-29; 311(4):357-8.
    View in: PubMed
    Score: 0.063
  133. 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: 0.063
  134. The current capabilities of health information technology to support care transitions. AMIA Annu Symp Proc. 2013; 2013:1231.
    View in: PubMed
    Score: 0.063
  135. 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: 0.063
  136. 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: 0.062
  137. 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: 0.060
  138. 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: 0.060
  139. 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: 0.059
  140. Active pharmacovigilance and healthcare utilization. Am J Manag Care. 2012 11 01; 18(11):e423-8.
    View in: PubMed
    Score: 0.058
  141. 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: 0.055
  142. 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: 0.055
  143. 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: 0.053
  144. A qualitative study of Canada's experience with the implementation of electronic health information technology. CMAJ. 2011 Mar 22; 183(5):E281-8.
    View in: PubMed
    Score: 0.052
  145. Delayed Venous Thromboembolism Diagnosis and Mortality Risk. JAMA Netw Open. 2025 Sep 02; 8(9):e2533928.
    View in: PubMed
    Score: 0.036
  146. Typing Proficiency among Physicians in Internal Medicine: A Pilot Study of Speed and Performance. Appl Clin Inform. 2025 Oct; 16(5):1393-1400.
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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.