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Connection

Eric Kirkendall to Electronic Health Records

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

3.178
  1. Kirkendall ES, Ni Y, Lingren T, Leonard M, Hall ES, Melton K. Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support. J Med Internet Res. 2019 05 22; 21(5):e13047.
    View in: PubMed
    Score: 0.596
  2. Kirkendall ES, Spires WL, Mottes TA, Schaffzin JK, Barclay C, Goldstein SL. Development and performance of electronic acute kidney injury triggers to identify pediatric patients at risk for nephrotoxic medication-associated harm. Appl Clin Inform. 2014; 5(2):313-33.
    View in: PubMed
    Score: 0.418
  3. Kirkendall ES, Goldenhar LM, Simon JL, Wheeler DS, Andrew Spooner S. Transitioning from a computerized provider order entry and paper documentation system to an electronic health record: expectations and experiences of hospital staff. Int J Med Inform. 2013 Nov; 82(11):1037-45.
    View in: PubMed
    Score: 0.400
  4. van Camp PJ, Kirkendall ES, Hagedorn PA, Minich T, Kouril M, Spooner SA, Gecili E, Dexheimer JW. Feedback at the Point of Care to Decrease Medication Alert Rates in an Electronic Health Record. Pediatr Emerg Care. 2020 Jul; 36(7):e417-e422.
    View in: PubMed
    Score: 0.161
  5. Vinks AA, Punt NC, Menke F, Kirkendall E, Butler D, Duggan TJ, Cortezzo DE, Kiger S, Dietrich T, Spencer P, Keefer R, Setchell KDR, Zhao J, Euteneuer JC, Mizuno T, Dufendach KR. Electronic Health Record-Embedded Decision Support Platform for Morphine Precision Dosing in Neonates. Clin Pharmacol Ther. 2020 01; 107(1):186-194.
    View in: PubMed
    Score: 0.155
  6. Temple MW, Sisk B, Krams LA, Schneider JH, Kirkendall ES, Lehmann CU. Trends in Use of Electronic Health Records in Pediatric Office Settings. J Pediatr. 2019 03; 206:164-171.e2.
    View in: PubMed
    Score: 0.144
  7. Wu DTY, Meganathan K, Newcomb M, Ni Y, Dexheimer JW, Kirkendall ES, Spooner SA. A Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center. AMIA Annu Symp Proc. 2018; 2018:1103-1109.
    View in: PubMed
    Score: 0.144
  8. Ni Y, Lingren T, Hall ES, Leonard M, Melton K, Kirkendall ES. Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit. J Am Med Inform Assoc. 2018 05 01; 25(5):555-563.
    View in: PubMed
    Score: 0.139
  9. Kirkendall ES, Kouril M, Dexheimer JW, Courter JD, Hagedorn P, Szczesniak R, Li D, Damania R, Minich T, Spooner SA. Automated identification of antibiotic overdoses and adverse drug events via analysis of prescribing alerts and medication administration records. J Am Med Inform Assoc. 2017 Mar 01; 24(2):295-302.
    View in: PubMed
    Score: 0.128
  10. Stockwell DC, Bisarya H, Classen DC, Kirkendall ES, Lachman PI, Matlow AG, Tham E, Hyman D, Lehman SM, Searles E, Muething SE, Sharek PJ. Development of an Electronic Pediatric All-Cause Harm Measurement Tool Using a Modified Delphi Method. J Patient Saf. 2016 12; 12(4):180-189.
    View in: PubMed
    Score: 0.126
  11. Borycki E, Dexheimer JW, Hullin Lucay Cossio C, Gong Y, Jensen S, Kaipio J, Kennebeck S, Kirkendall E, Kushniruk AW, Kuziemsky C, Marcilly R, Röhrig R, Saranto K, Senathirajah Y, Weber J, Takeda H. Methods for Addressing Technology-induced Errors: The Current State. Yearb Med Inform. 2016 Nov 10; (1):30-40.
    View in: PubMed
    Score: 0.125
  12. Goldstein SL, Mottes T, Simpson K, Barclay C, Muething S, Haslam DB, Kirkendall ES. A sustained quality improvement program reduces nephrotoxic medication-associated acute kidney injury. Kidney Int. 2016 07; 90(1):212-21.
    View in: PubMed
    Score: 0.121
  13. Li Q, Melton K, Lingren T, Kirkendall ES, Hall E, Zhai H, Ni Y, Kaiser M, Stoutenborough L, Solti I. Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care. J Am Med Inform Assoc. 2014 Sep-Oct; 21(5):776-84.
    View in: PubMed
    Score: 0.103
  14. Stockwell DC, Kirkendall E, Muething SE, Kloppenborg E, Vinodrao H, Jacobs BR. Automated adverse event detection collaborative: electronic adverse event identification, classification, and corrective actions across academic pediatric institutions. J Patient Saf. 2013 Dec; 9(4):203-10.
    View in: PubMed
    Score: 0.102
  15. Deleger L, Brodzinski H, Zhai H, Li Q, Lingren T, Kirkendall ES, Alessandrini E, Solti I. Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency department. J Am Med Inform Assoc. 2013 Dec; 20(e2):e212-20.
    View in: PubMed
    Score: 0.101
  16. Goldstein SL, Kirkendall E, Nguyen H, Schaffzin JK, Bucuvalas J, Bracke T, Seid M, Ashby M, Foertmeyer N, Brunner L, Lesko A, Barclay C, Lannon C, Muething S. Electronic health record identification of nephrotoxin exposure and associated acute kidney injury. Pediatrics. 2013 Sep; 132(3):e756-67.
    View in: PubMed
    Score: 0.100
  17. Frintner MP, Kaelber DC, Kirkendall ES, Lourie EM, Somberg CA, Lehmann CU. The Effect of Electronic Health Record Burden on Pediatricians' Work-Life Balance and Career Satisfaction. Appl Clin Inform. 2021 05; 12(3):697-707.
    View in: PubMed
    Score: 0.043
  18. Dewan M, Muthu N, Shelov E, Bonafide CP, Brady P, Davis D, Kirkendall ES, Niles D, Sutton RM, Traynor D, Tegtmeyer K, Nadkarni V, Wolfe H. Performance of a Clinical Decision Support Tool to Identify PICU Patients at High Risk for Clinical Deterioration. Pediatr Crit Care Med. 2020 02; 21(2):129-135.
    View in: PubMed
    Score: 0.039
  19. Dexheimer JW, Kirkendall ES, Kouril M, Hagedorn PA, Minich T, Duan LL, Mahdi M, Szczesniak R, Spooner SA. The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital. Appl Clin Inform. 2017 05 10; 8(2):491-501.
    View in: PubMed
    Score: 0.032
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.