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NLM Intramural Research Program

NLM’s health information standards and discovery research focuses on the development of methods to gain insights from large health databases while learning the strengths and weaknesses of datasets and improving them, when possible. This area of research assesses whether specific standards are fit for purpose (e.g., quality assurance and interoperability assessments of biomedical terminologies) and investigates standards in action (e.g., in support of tasks such as natural language processing, annotation, data integration, and mapping across terminologies).
Image of Olivier Bodenreider, MD, PhD

Olivier Bodenreider, MD, PhD

Senior Scientist, Biomedical Informatics Branch, LHNCBC

Olivier Bodenreider, MD, PhD

  • Conducting health information standards research with a focus on ontologies and terminologies
  • Assessing whether specific standards are fit for purpose (e.g., quality assurance of SNOMED CT, interoperability between RxNorm and SNOMED CT drugs, assessment of ICD-11)
  • Investigating new methods for aligning ontologies (e.g., deep learning approaches to assessing synonymy in the Unified Medical Language System Metathesaurus)
Image of Clem McDonald, MD

Clem McDonald, MD

Senior Investigator, Office of the Director, NLM

Clem McDonald, MD

  • Leveraging observational data (ERH, claims) for research purposes
  • Comparing the effects of commonly used classes of blood pressure, diabetes, and lipid-lowering medications (in 300,000 Medicare-aged diabetic patients)
  • Investigating the risk of tendon rupture for the five most commonly prescribed oral antibiotics (for Medicare)
  • Investigating the risk of proton pump inhibitors for survival (in 2.3 million Medicare patients)