Daniel Nigrin's research interests include development of web-based patient- provider communication systems, especially for patients with chronic diseases like diabetes mellitus, and development and implementation of large-scale electronic medical record systems, including implementation of medication error reduction techniques through use of technology. Dr. Nigrin also has significant experience in creation of easy to use tools to facilitate data mining of large clinical databases, for both research and clinical care purposes.

As Chief Information Officer at Boston Children's Hospital, he is responsible for all clinical, research, teaching and administrative IT systems at one of the world's preeminent institutions for pediatric clinical care and research, serving a staff of over 7000. As a practicing physician, medical informatics researcher, and information technology executive, he is in a unique position to put into practice cutting edge technologies and ideas developed by the Children's Hospital Informatics Program (CHIP) and other biomedical informatics centers of excellence, bringing advances to patient care practice, quality, and research, but all the while keeping in mind the needs and workflows of busy clinicians.


Dr. Nigrin received his MD from Johns Hopkins University, and and a Master's degree in Medical Informatics from the Massachusetts Institute of Technology. Pediatric internship and residency were completed at Johns Hopkins, with fellowships at Boston Children's Hospital

Daniel Nigrin was named one of Computerworld's Premier 100 IT Leaders, 2005. He was a finalist for Best Overall Paper, American Medical Informatics Association (AMIA) Symposium, 2000 and won First Prize, Student Paper Competition, American Medical Informatics Association (AMIA) Symposium, 1998.

Selected Publications

  1. Nigrin DJ, Kohane IS. "Glucoweb: A Case Study of Secure, Remote Biomonitoring and Communication" Proc Amer Med Inform Assoc Ann Fall Symp, 610-614, November 2000, Los Angeles, CA.
  2. Nigrin DJ, Kohane IS. "Temporal Expressiveness in Querying a Timestamp- Based Clinical Database" J Am Med Inform Assoc 2000;7(2): 152-163.
  3. Nigrin DJ, Kohane IS. "Data mining by clinicians" Proc Amia Symp 1998:957 -61.


Publications powered by Harvard Catalyst Profiles

  1. The effect of an electronic health record-based tool on abnormal pediatric blood pressure recognition. Congenit Heart Dis. 2017 Jul; 12(4):484-490. View abstract
  2. Preserving patient privacy and confidentiality in the era of personal health records. Pediatrics. 2015 May; 135(5):e1125-7. View abstract
  3. When 'hacktivists' target your hospital. N Engl J Med. 2014 Jul 31; 371(5):393-5. View abstract
  4. Mychildren's: integration of a personally controlled health record with a tethered patient portal for a pediatric and adolescent population. AMIA Annu Symp Proc. 2009 Nov 14; 2009:65-9. View abstract
  5. The Shared Information Network (SHRINE): A prototype federated query tool for clinical data repositories. J Amer.Med. Inform. Assoc. 2009; 16(5):624-630. View abstract
  6. The Shared Health Research Information Network (SHRINE): a prototype federated query tool for clinical data repositories. J Am Med Inform Assoc. 2009 Sep-Oct; 16(5):624-30. View abstract
  7. Health IT for Kids, Pediatric Health IT and the Flu. Government Health IT. 2009; 3(5):3. View abstract
  8. Pharmacy Automation, High Tech Tools Close the Loop for Medication Safety. Most Wired. 2009. View abstract
  9. The Gene Partnership Project: Implementing the informed cohort model for the ethical recruitment and engagement of participant into genomic research. American Socity of Human Genetics . 2009. View abstract
  10. Whose personal control? Creating private, personally controlled health records for pediatric and adolescent patients. J Am Med Inform Assoc. 2008 Nov-Dec; 15(6):737-43. View abstract
  11. The Importance of Technology in Healthcare. Inside The Minds: Updating Your Company's Technology Strategy. 2008. View abstract
  12. Medicine. Reestablishing the researcher-patient compact. Science. 2007 May 11; 316(5826):836-7. View abstract
  13. Characteristics at diagnosis of type 1 diabetes in children younger than 6 years. J Pediatr. 2006 Mar; 148(3):366-71. View abstract
  14. Integration of the personally controlled electronic medical record into regional inter-regional data exchanges: a national demonstration. AMIA Annu Symp Proc. 2006; 1099. View abstract
  15. Integration of the personally controlled electronic medical record into regional inter-regional data exchanges: a national demonstration. Proc AMIA Symp. 2006; 1099. View abstract
  16. Senior resident autonomy in a pediatric hospitalist system. Arch Pediatr Adolesc Med. 2003 Feb; 157(2):206-7. View abstract
  17. Effect of a pediatric hospitalist system on housestaff education and experience. Arch Pediatr Adolesc Med. 2002 Sep; 156(9):877-83. View abstract
  18. The personal internetworked notary and guardian. Int J Med Inform. 2001 Jun; 62(1):27-40. View abstract
  19. Impact of anatomic closure on somatic growth among small, asymptomatic children with secundum atrial septal defect. Am J Cardiol. 2000 Jun 15; 85(12):1472-5. View abstract
  20. Temporal expressiveness in querying a time-stamp--based clinical database. J Am Med Inform Assoc. 2000 Mar-Apr; 7(2):152-63. View abstract
  21. Glucoweb: a case study of secure, remote biomonitoring and communication. Proc AMIA Symp. 2000; 610-4. View abstract
  22. Diabetes in Children. Cefalu WT, Clark NG, Leahy JL, editors. Medical Management of Diabetes Mellitus. 2000. View abstract
  23. Evolution to a Palm Pilot based intervention tracking tool for clinical pharmacists in a pediatric teaching hospital. American Society of Health-System Pharmacists, Midyear Clinical Meeting. 2000. View abstract
  24. System and method for performing stepwise querying of a timestamp-based database. 1999. View abstract
  25. Scaling a data retrieval and mining application to the enterprise-wide level. Proc AMIA Symp. 1999; 901-5. View abstract
  26. A New tool for Improved Research Utilization of Pediatric Clinical Databases. Pediatr Res. 1999; 45. View abstract
  27. Improved access to large medical databases for clinical research and quality improvement [dissertation]. 1999. View abstract
  28. Growth Calc: an antropometric calculator accessible via the World Wide Web. Soc Ped Research. 1999. View abstract
  29. Data mining by clinicians. Proc AMIA Symp. 1998; 957-61. View abstract
  30. ATRAS: a decision support application layered on the W3-EMRS architecture. Stud Health Technol Inform. 1998; 52 Pt 1:40-4. View abstract
  31. Methodology for computer-assisted prediction of growth hormone deficiency in children. Proc AMIA Symposium. 1998; 1088. View abstract
  32. IT? Give me what I'll use. Healthc Inform. 1997 May; 14(5):112. View abstract
  33. Implementation of Portable Decision Support Using the W-3 EMRS Architecture. Proc AMIA Symposium. 1997; (1997):879. View abstract
  34. ATRAS: A database-independent, computer-based retrieval and analysis system for functional adrenal hormone testing. Proc 79th Annual Meeting of the Endo Society. 1997. View abstract
  35. Automated 'pain drawing' analysis by computer-controlled, patient-interactive neurological stimulation system. Pain. 1992 Jul; 50(1):51-57. View abstract
  36. Patient-interactive, computer-controlled neurological stimulation system: clinical efficacy in spinal cord stimulator adjustment. J Neurosurg. 1992 Jun; 76(6):967-72. View abstract