Clinical Focus

  • Diabetes
  • Clinical Informatics
  • Pediatric Endocrinology

Academic Appointments

Administrative Appointments

  • Medical Director of Clinical Informatics, Stanford Children's Health (2014 - Present)
  • Pediatric Endocrinologist, Lucile Packard Children's Hospital and California Pacific Medical Center (2013 - Present)
  • Physician Lead, Endocrine/Diabetes Informatics, Lucile Packard Children's Hospital (2013 - Present)

Honors & Awards

  • Consulting Fellow Teaching Award, Lucile Packard Children's Hospital (2013)
  • Child Health Research Institute Trainee Support Award, Stanford Spectrum Child Health (2012-2013)
  • Research Training Grant Award, Genentech Center for Clinical Research in Endocrinology (2012-2013)
  • Stanford Society of Physician Scholars, Stanford University (2011-present)
  • Alan Krensky, MD, Endowed Clinical Fellow in Endocrinology, Stanford University (2010-2011)
  • Pediatric Resident Teaching Honor Roll, Loyola University Chicago (2009 and 2010)
  • St. Ignatius Peer Teaching Award, Stritch School of Medicine (2005)

Boards, Advisory Committees, Professional Organizations

  • Affiliated Faculty, Stanford Clinical Informatics Fellowship Program (2016 - Present)
  • Federal Advisory Committee Member, Joint Health IT Policy/Health IT Standards Committee API Task Force (2015 - 2016)
  • Affiliated Faculty, Stanford Bio-X (2014 - Present)
  • National Steering Board Member (Pediatric Endocrinology), Epic Systems (2014 - Present)

Professional Education

  • Board Certification: Pediatric Endocrinology, American Board of Pediatrics (2013)
  • Fellowship:Stanford University Medical Center-Endocrinology (2013) CA
  • Chief Resident, Loyola University Chicago Stritch School of Medicine, Pediatrics (2010)
  • Board Certification: Pediatrics, American Board of Pediatrics (2009)
  • Residency:Loyola University Chicago Stritch School Of Medicine (2009) IL
  • Medical Education:Loyola University Chicago Stritch School Of Medicine (2006) IL
  • B.S., University of Illinois, Cell & Structural Biology Major; Chemistry Minor (2002)

Research & Scholarship

Current Research and Scholarly Interests

Clinical translational research: improved detection techniques for diagnostic and predictive biomarkers of type 1 diabetes, and characterization of novel biomarker trends in the at-risk population. Our group is additionally investigating potential dietary and environmental triggers of type 1 diabetes.

Clinical informatics: optimization of the electronic medical record to support comprehensive and efficient multi-disciplinary approaches to outpatient and inpatient pediatric diabetes care and teaching. We are working toward a common platform for real-time review of patient and device data, and shared data/learning among institutions connected by a common EMR, to improve the quality and efficiency of pediatric diabetes care.


All Publications

  • The Quantified Brain: A Framework for Mobile Device-Based Assessment of Behavior and Neurological Function Applied Clinical Informatics Stark, D. E., Kumar, R. B., Longhurst, C. A., Wall, D. P. 2016; 7 (2): 290-298
  • Automated integration of continuous glucose monitor data in the electronic health record using consumer technology. Journal of the American Medical Informatics Association : JAMIA Kumar, R. B., Goren, N. D., Stark, D. E., Wall, D. P., Longhurst, C. A. 2016


    The diabetes healthcare provider plays a key role in interpreting blood glucose trends, but few institutions have successfully integrated patient home glucose data in the electronic health record (EHR). Published implementations to date have required custom interfaces, which limit wide-scale replication. We piloted automated integration of continuous glucose monitor data in the EHR using widely available consumer technology for 10 pediatric patients with insulin-dependent diabetes. Establishment of a passive data communication bridge via a patient's/parent's smartphone enabled automated integration and analytics of patient device data within the EHR between scheduled clinic visits. It is feasible to utilize available consumer technology to assess and triage home diabetes device data within the EHR, and to engage patients/parents and improve healthcare provider workflow.

    View details for DOI 10.1093/jamia/ocv206

    View details for PubMedID 27018263

  • "Big Data" in Laboratory Medicine. Clinical chemistry Tolan, N. V., Parnas, M. L., Baudhuin, L. M., Cervinski, M. A., Chan, A. S., Holmes, D. T., Horowitz, G., Klee, E. W., Kumar, R. B., Master, S. R. 2015; 61 (12): 1433-1440

    View details for DOI 10.1373/clinchem.2015.248591

    View details for PubMedID 26487761

  • The development of next-generation screening and diagnostic platforms will change diabetes care. Expert review of molecular diagnostics Kumar, R. B., Gupta, M., Feldman, B. J. 2015; 15 (3): 291-294


    Diabetes mellitus is a common disease with a rising incidence and the findings of hyperglycemia and glucosuria. However, there are multiple types of diabetes, each with distinct etiologies. The two major types of diabetes are type 1, which is caused by an autoimmune process, and type 2, which is thought to be primarily metabolic, resulting from insulin resistance, often in the setting of obesity. Historically, the distinction between these two types was obvious. Here, we discuss how this paradigm has dramatically changed because of both the evolving epidemiology of diabetes mellitus and new and emerging tools, and therapies to diagnose and treat diabetes. As we believe that understanding these changes is critical to providing optimal care to patients with diabetes, we have developed a novel plasmonic gold chip platform that is able to meet the new and emerging demands of modern diabetes care.

    View details for DOI 10.1586/14737159.2015.1002468

    View details for PubMedID 25583407

  • Primary ovarian insufficiency in adolescents: a case series. International journal of pediatric endocrinology Pederson, J., Kumar, R. B., Adams Hillard, P. J., Bachrach, L. K. 2015; 2015 (1): 13-?


    Primary ovarian insufficiency (POI) is characterized by 4 to 6 months of amenorrhea and elevated serum FSH and LH in females less than 40 years. Ovarian insufficiency is uncommon in pediatrics and typically results from a chromosomal abnormality or treatment for malignancy. Idiopathic POI in which no apparent precipitant is identified is even rarer. After encountering three teens with idiopathic POI in recent months, we utilized an informatics-enabled search of the electronic medical records from our hospital to identify all cases of idiopathic POI presenting from 1998-2013.15 girls (ages 14.4 to 17.9 years) met criteria for idiopathic POI. At diagnosis, breast development ranged from Tanner stage 1 to 5; 6 of 15 patients had secondary amenorrhea. All patients presented in the past 11 years and 13 of 15 in the past 5 years.In this first case series of POI from the United States, we observed a clustering at our institution in recent years. If an increased incidence of idiopathic POI is identified at other institutions, further investigation into potential environmental and genetic precipitants is warranted.

    View details for DOI 10.1186/s13633-015-0009-z

    View details for PubMedID 25983758

  • Letrozole vs Anastrozole for Height Augmentation in Short Pubertal Males: First Year Data JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM Neely, E. K., Kumar, R. B., Payne, S. L., Ranadive, S. A., Suchet, D. I. 2014; 99 (11): 4086-4093


    Aromatase inhibitors are used off-label to treat short stature in peripubertal boys.To investigate short- and long-term hormonal and auxologic differences in short pubertal boys treated with letrozole (L) or anastrozole (A).PATIENTS are seen for laboratory evaluation and physical examination every 6 months, bone age yearly, DEXA and spine film every 2 years. They will be followed until they reach their final height. This is a preliminary report after 1 year of treatment.A single academic children's hospital outpatient clinic.Boys with age >10 years, bone age ≤ 14 years, clinical and hormonal evidence of central puberty, and either height < fifth percentile or predicted adult height (PAH) more than 10 cm below mid-parental height (MPH).Letrozole (2.5 mg) or anastrozole (1 mg) was administered orally each day.Hormonal and clinical parameters, growth velocity, and change in bone age and PAH.Thirty-nine boys have completed 1 year of treatment. Baseline means were age 14.1 years, PAH 166 cm, and testosterone 198 ng/dL. At 1 year, letrozole resulted in higher LH (L 6.1 ± 2.5 vs A 3.2 ± 1.7 IU/L) and testosterone (1038 ± 348 vs 536 ± 216 ng/dL) with lower estradiol (2.8 ± 2.8 vs 5.6 ± 2.9 pg/mL) and IGF-1 (237 ± 51 vs 331 ± 79 ng/mL). First year growth velocities were identical (7.2 cm/year), but an increase in PAH was greater in the anastrozole group (4.2 ± 3.5 vs 1.4 ± 4.4 cm, p = 0.03) after 1 year.We present first-year data from a direct comparison of anastrozole and letrozole for height augmentation in short pubertal boys. Letrozole was more potent in hormonal manipulation than anastrozole. First-year growth velocities were comparable, but improvement in PAH was greater in the anastrozole group. It remains to be seen if positive PAH trends will translate to increase in final height in either group.

    View details for DOI 10.1210/jc.2014-2432

    View details for Web of Science ID 000346743100023

  • A plasmonic chip for biomarker discovery and diagnosis of type 1 diabetes NATURE MEDICINE Zhang, B., Kumar, R. B., Dai, H., Feldman, B. J. 2014; 20 (8): 948-953


    Type 1 diabetes (T1D) is an autoimmune disease, whereas type 2 diabetes (T2D) results from insulin resistance and beta cell dysfunction. Previously, the onset of these two separate diseases was easily distinguished, with children being most at risk for T1D and T2D occurring in overweight adults. However, the dramatic rise in obesity, coupled with the notable increase in T1D, has created a large overlap in these previously discrete patient populations. Delayed diagnosis of T1D can result in severe illness or death, and rapid diagnosis of T1D is critical for the efficacy of emerging therapies. However, attempts to apply next-generation platforms have been unsuccessful for detecting diabetes biomarkers. Here we describe the development of a plasmonic gold chip for near-infrared fluorescence-enhanced (NIR-FE) detection of islet cell-targeting autoantibodies. We demonstrate that this platform has high sensitivity and specificity for the diagnosis of T1D and can be used to discover previously unknown biomarkers of T1D.

    View details for DOI 10.1038/nm.3619

    View details for Web of Science ID 000340074600028

    View details for PubMedID 25038825

  • Annular pancreas in identical twin newborns. Journal of Pediatric Surgery Hulvat, M. C., Kumar, R. B., Newman, B. M., Muraskas, J. K. 2005; 41 (8)