ABOUT THE RESEARCHER

OVERVIEW

Dr. Geva conducts research at the intersection of biomedical informatics, health services research, quality improvement, and critical care medicine. Using methods learned during his NRSA fellowship with Dr. Kenneth Mandl, he applies computational methods to the study of health systems and, in particular, to the care of critically ill children. His current projects focus on cohort identification and characterization using electronic health records data, automatic patient registry population using electronic health records data, assessment of medication use and safety, and development of clinical decision support applications for the bedside.

BACKGROUND

Dr. Geva is a board-certified in pediatric critical care medicine and practices in the Medical-Surgical and Cardiac Intensive Care Units. In addition to his clinical training at Harvard Medical School and Boston Children's Hospital, he completed a Masters in Public Health with a focus on Quantitative Methods at the Harvard T. H. Chan School of Public Health and a post-doctoral NRSA (T32) fellowship in Biomedical Informatics under the mentorship of Professor Kenneth Mandl.

PUBLICATIONS

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  1. Data-driven clustering identifies features distinguishing multisystem inflammatory syndrome from acute COVID-19 in children and adolescents. EClinicalMedicine. 2021 Oct; 40:101112. View abstract
  2. Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420. View abstract
  3. A high-throughput phenotyping algorithm is portable from adult to pediatric populations. J Am Med Inform Assoc. 2021 06 12; 28(6):1265-1269. View abstract
  4. Coagulations Studies Do Not Correlate With Each Other or With Hematologic Complications During Pediatric Extracorporeal Membrane Oxygenation. Pediatr Crit Care Med. 2021 06 01; 22(6):542-552. View abstract
  5. International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries. JAMA Netw Open. 2021 06 01; 4(6):e2112596. View abstract
  6. A Machine Learning Classifier Improves Mortality Prediction Compared With Pediatric Logistic Organ Dysfunction-2 Score: Model Development and Validation. Crit Care Explor. 2021 May; 3(5):e0426. View abstract
  7. eSIMPLER: A Dynamic, Electronic Health Record-Integrated Checklist for Clinical Decision Support During PICU Daily Rounds. Pediatr Crit Care Med. 2021 May 03. View abstract
  8. Implementation of an Analgesia-Sedation Protocol Is Associated With Reduction in Midazolam Usage in the PICU. Pediatr Crit Care Med. 2021 Apr 12. View abstract
  9. Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach. Respir Care. 2020 Sep; 65(9):1367-1377. View abstract
  10. Adverse drug event presentation and tracking (ADEPT): semiautomated, high throughput pharmacovigilance using real-world data. JAMIA Open. 2020 Oct; 3(3):413-421. View abstract
  11. Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources. J Am Med Inform Assoc. 2020 02 01; 27(2):294-300. View abstract
  12. Noninvasive Ventilation Is Interrupted Frequently and Mostly Used at Night in the Pediatric Intensive Care Unit. Respir Care. 2020 Mar; 65(3):341-346. View abstract
  13. Extracting Adverse Drug Event Information with Minimal Engineering. Proc Conf. 2019 Jun; 2019:22-27. View abstract
  14. Feature extraction for phenotyping from semantic and knowledge resources. J Biomed Inform. 2019 03; 91:103122. View abstract
  15. Provider Connectedness to Other Providers Reduces Risk of Readmission After Hospitalization for Heart Failure. Med Care Res Rev. 2019 02; 76(1):115-128. View abstract
  16. Simulation of a Novel Schedule for Intensivist Staffing to Improve Continuity of Patient Care and Reduce Physician Burnout. Crit Care Med. 2017 Jul; 45(7):1138-1144. View abstract
  17. A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry. J Pediatr. 2017 09; 188:224-231.e5. View abstract
  18. Learning a Comorbidity-Driven Taxonomy of Pediatric Pulmonary Hypertension. Circ Res. 2017 Aug 04; 121(4):341-353. View abstract
  19. Therapeutic Hypothermia in Children. N Engl J Med. 2015 09 03; 373(10):979. View abstract
  20. Long-term outcomes and risk factors for aortic regurgitation after discrete subvalvular aortic stenosis resection in children. Heart. 2015 Oct; 101(19):1547-53. View abstract
  21. Spread of methicillin-resistant Staphylococcus aureus in a large tertiary NICU: network analysis. Pediatrics. 2011 Nov; 128(5):e1173-80. View abstract
  22. A quantitative analysis of optimal treatment capacity for perinatal asphyxia. Med Decis Making. 2012 Mar-Apr; 32(2):266-72. View abstract
  23. Dexamethasone and tonsillectomy bleeding: a meta-analysis. Otolaryngol Head Neck Surg. 2011 Jun; 144(6):838-43. View abstract
  24. Network analysis of team structure in the neonatal intensive care unit. Pediatrics. 2010 Jun; 125(6):e1460-7. View abstract
  25. CoolSim: using industrial modeling techniques to examine the impact of selective head cooling in a model of perinatal regionalization. Pediatrics. 2008 Jan; 121(1):28-36. View abstract
  26. Risk factors for reoperation after repair of discrete subaortic stenosis in children. J Am Coll Cardiol. 2007 Oct 09; 50(15):1498-504. View abstract
  27. Hemoglobin Jamaica plain--a sickling hemoglobin with reduced oxygen affinity. N Engl J Med. 2004 Oct 07; 351(15):1532-8. View abstract
  28. Hemolytic anemia and severe rhabdomyolysis caused by compound heterozygous mutations of the gene for erythrocyte/muscle isozyme of aldolase, ALDOA(Arg303X/Cys338Tyr). Blood. 2004 Mar 15; 103(6):2401-3. View abstract
  29. Chronic disseminated intravascular coagulation and childhood-onset skin necrosis resulting from homozygosity for a protein C Gla domain mutation, Arg15Trp. J Pediatr Hematol Oncol. 2002 Nov; 24(8):685-8. View abstract