Connection

DAVID BATES to Electronic Health Records

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

24.395
  1. A genome-wide Association study of the Count of Codeine prescriptions. Sci Rep. 2024 10 01; 14(1):22780.
    View in: PubMed
    Score: 0.580
  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: 0.564
  3. 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: 0.549
  4. The Electronic Inbox-Benefits, Questions, and Solutions for the Road Ahead. JAMA. 2023 11 14; 330(18):1735-1736.
    View in: PubMed
    Score: 0.546
  5. 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: 0.545
  6. Electronic Health Record Transitions-How to Make Them Work. J Gen Intern Med. 2023 10; 38(Suppl 4):946-948.
    View in: PubMed
    Score: 0.541
  7. 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: 0.511
  8. 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: 0.463
  9. 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: 0.461
  10. 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: 0.461
  11. 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: 0.453
  12. 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: 0.430
  13. 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: 0.430
  14. 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: 0.427
  15. Technology-facilitated care coordination in rural areas: What is needed? Int J Med Inform. 2020 05; 137:104102.
    View in: PubMed
    Score: 0.421
  16. Late adopters of the electronic health record should move now. BMJ Qual Saf. 2020 03; 29(3):238-240.
    View in: PubMed
    Score: 0.414
  17. 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: 0.404
  18. 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: 0.401
  19. Assessing EHR use during hospital morning rounds: A multi-faceted study. PLoS One. 2019; 14(2):e0212816.
    View in: PubMed
    Score: 0.394
  20. 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: 0.373
  21. 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: 0.362
  22. Methods for Detecting Malfunctions in Clinical Decision Support Systems. Stud Health Technol Inform. 2017; 245:1385.
    View in: PubMed
    Score: 0.339
  23. 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: 0.323
  24. Drug allergies documented in electronic health records of a large healthcare system. Allergy. 2016 09; 71(9):1305-13.
    View in: PubMed
    Score: 0.322
  25. 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: 0.322
  26. 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: 0.310
  27. 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: 0.300
  28. 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: 0.297
  29. 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: 0.291
  30. 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: 0.288
  31. Adoption of electronic health records in UK hospitals: lessons from the USA. Lancet. 2014 Jul 05; 384(9937):8-9.
    View in: PubMed
    Score: 0.285
  32. 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: 0.285
  33. Meaningful use and quality of care. JAMA Intern Med. 2014 Jun; 174(6):997-8.
    View in: PubMed
    Score: 0.283
  34. 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: 0.282
  35. 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: 0.281
  36. 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: 0.274
  37. 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: 0.271
  38. 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: 0.270
  39. 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: 0.267
  40. 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: 0.267
  41. 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: 0.245
  42. 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: 0.245
  43. Usability of a novel clinician interface for genetic results. J Biomed Inform. 2012 Oct; 45(5):950-7.
    View in: PubMed
    Score: 0.244
  44. 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: 0.243
  45. 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: 0.240
  46. 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: 0.230
  47. 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: 0.229
  48. 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: 0.227
  49. 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: 0.224
  50. 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: 0.224
  51. 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: 0.222
  52. Outpatient adverse drug events identified by screening electronic health records. J Patient Saf. 2010 Jun; 6(2):91-6.
    View in: PubMed
    Score: 0.215
  53. 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: 0.212
  54. Can electronic clinical documentation help prevent diagnostic errors? N Engl J Med. 2010 Mar 25; 362(12):1066-9.
    View in: PubMed
    Score: 0.212
  55. Adverse Drug Events in Ambulatory Care: A Cross-Sectional Study. Drug Saf. 2025 Apr; 48(4):363-374.
    View in: PubMed
    Score: 0.147
  56. 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: 0.145
  57. Accurately identifying incident cases of venous thromboembolism in the electronic health record: Performance of a novel phenotyping algorithm. Thromb Res. 2024 Nov; 243:109143.
    View in: PubMed
    Score: 0.144
  58. 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: 0.140
  59. 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: 0.131
  60. 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: 0.131
  61. Dynamic reaction picklist for improving allergy reaction documentation: A usability study. Int J Med Inform. 2023 02; 170:104939.
    View in: PubMed
    Score: 0.128
  62. 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: 0.128
  63. 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: 0.126
  64. 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: 0.126
  65. 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: 0.122
  66. 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: 0.119
  67. Comparison of Medication Alerts from Two Commercial Applications in the USA. Drug Saf. 2021 06; 44(6):661-668.
    View in: PubMed
    Score: 0.113
  68. 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: 0.113
  69. 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: 0.111
  70. 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: 0.110
  71. 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: 0.110
  72. 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: 0.109
  73. 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: 0.105
  74. 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: 0.105
  75. 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: 0.102
  76. Using Cognitive Load Theory to Improve Posthospitalization Follow-Up Visits. Appl Clin Inform. 2019 08; 10(4):610-614.
    View in: PubMed
    Score: 0.102
  77. 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: 0.100
  78. 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: 0.100
  79. Drug-Induced Anaphylaxis Documented in Electronic Health Records. J Allergy Clin Immunol Pract. 2019 01; 7(1):103-111.
    View in: PubMed
    Score: 0.094
  80. 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: 0.094
  81. 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: 0.093
  82. Improving Adoption of EHRs in Psychiatric Care. N Engl J Med. 2018 May 03; 378(18):1665-1667.
    View in: PubMed
    Score: 0.093
  83. 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: 0.092
  84. 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: 0.092
  85. 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: 0.091
  86. 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: 0.088
  87. 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: 0.087
  88. 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: 0.086
  89. The Big Phish: Cyberattacks Against U.S. Healthcare Systems. J Gen Intern Med. 2016 10; 31(10):1115-8.
    View in: PubMed
    Score: 0.083
  90. 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: 0.083
  91. 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: 0.081
  92. 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: 0.078
  93. 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: 0.077
  94. 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: 0.076
  95. 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: 0.075
  96. Increasing patient engagement: patients' responses to viewing problem lists online. Appl Clin Inform. 2014; 5(4):930-42.
    View in: PubMed
    Score: 0.073
  97. 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: 0.073
  98. 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: 0.071
  99. Relationship between documentation method and quality of chronic disease visit notes. Appl Clin Inform. 2014; 5(2):480-90.
    View in: PubMed
    Score: 0.071
  100. Electronic problem list documentation of chronic kidney disease and quality of care. BMC Nephrol. 2014 May 04; 15:70.
    View in: PubMed
    Score: 0.070
  101. 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: 0.068
  102. The current capabilities of health information technology to support care transitions. AMIA Annu Symp Proc. 2013; 2013:1231.
    View in: PubMed
    Score: 0.068
  103. 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: 0.068
  104. 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: 0.066
  105. 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: 0.065
  106. 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: 0.064
  107. Active pharmacovigilance and healthcare utilization. Am J Manag Care. 2012 11 01; 18(11):e423-8.
    View in: PubMed
    Score: 0.064
  108. 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: 0.060
  109. 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: 0.060
  110. 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: 0.057
  111. 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: 0.056
  112. Evaluation of a Primary Care-Integrated Mobile Health Intervention to Monitor between-Visit Asthma Symptoms. Appl Clin Inform. 2024 Aug; 15(4):785-797.
    View in: PubMed
    Score: 0.036
  113. Patient-Clinician Diagnostic Concordance upon Hospital Admission. Appl Clin Inform. 2024 Aug; 15(4):733-742.
    View in: PubMed
    Score: 0.036
  114. A deep learning approach for transgender and gender diverse patient identification in electronic health records. J Biomed Inform. 2023 11; 147:104507.
    View in: PubMed
    Score: 0.034
  115. Post-Acute COVID-19 Respiratory Symptoms in Patients With Asthma: An Electronic Health Records-Based Study. J Allergy Clin Immunol Pract. 2023 03; 11(3):825-835.e3.
    View in: PubMed
    Score: 0.032
  116. Heterogeneity of Drug Allergies and Reaction Lists in Two U.S. Health Care Systems' Electronic Health Records. Appl Clin Inform. 2022 05; 13(3):741-751.
    View in: PubMed
    Score: 0.031
  117. Multicomponent intervention to improve blood pressure management in chronic kidney disease: a protocol for a pragmatic clinical trial. BMJ Open. 2021 12 22; 11(12):e054065.
    View in: PubMed
    Score: 0.030
  118. 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: 0.029
  119. Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings. Int J Med Inform. 2021 09; 153:104525.
    View in: PubMed
    Score: 0.029
  120. Predicting pressure injury using nursing assessment phenotypes and machine learning methods. J Am Med Inform Assoc. 2021 03 18; 28(4):759-765.
    View in: PubMed
    Score: 0.028
  121. Assessing the cognitive and work load of an inpatient safety dashboard in the context of opioid management. Appl Ergon. 2020 May; 85:103047.
    View in: PubMed
    Score: 0.026
  122. Challenges with Accuracy of Gender Fields in Identifying Transgender Patients in Electronic Health Records. J Gen Intern Med. 2020 12; 35(12):3724-3725.
    View in: PubMed
    Score: 0.026
  123. Physician Burnout in the Electronic Health Record Era. Ann Intern Med. 2019 02 05; 170(3):216-217.
    View in: PubMed
    Score: 0.025
  124. Screening for Adverse Drug Events: a Randomized Trial of Automated Calls Coupled with Phone-Based Pharmacist Counseling. J Gen Intern Med. 2019 02; 34(2):285-292.
    View in: PubMed
    Score: 0.024
  125. Using whole genome scores to compare three clinical phenotyping methods in complex diseases. Sci Rep. 2018 07 27; 8(1):11360.
    View in: PubMed
    Score: 0.024
  126. Implementation of a scalable, web-based, automated clinical decision support risk-prediction tool for chronic kidney disease using C-CDA and application programming interfaces. J Am Med Inform Assoc. 2017 Nov 01; 24(6):1111-1115.
    View in: PubMed
    Score: 0.022
  127. 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: 0.021
  128. A Cluster Randomized Trial of a Personalized Multi-Condition Risk Assessment in Primary Care. Am J Prev Med. 2017 Jan; 52(1):100-105.
    View in: PubMed
    Score: 0.021
  129. Computerised prescribing for safer medication ordering: still a work in progress. BMJ Qual Saf. 2016 May; 25(5):315-9.
    View in: PubMed
    Score: 0.020
  130. Evaluation of medium-term consequences of implementing commercial computerized physician order entry and clinical decision support prescribing systems in two 'early adopter' hospitals. J Am Med Inform Assoc. 2014 Oct; 21(e2):e194-202.
    View in: PubMed
    Score: 0.017
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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.