David Rodbard, MD
Biomedical Informatics Consultants LLC, Potomac, Maryland
David Rodbard MD is an endocrinologist, statistician and computer scientist with a long career at NIH, now President and Chief Scientific Officer at Biomedical Informatics Consultants LLC, Potomac MD.
Dr. Rodbard began developing software for display and analysis of glucose data in the early 1980s. This included insulin dosage calculators and use of Box plots showing the 0th, 25th, 50th, 75th, and 100th percentiles (Diabetes Care 1986), the original method for the Ambulatory Glucose Profile (AGP) (Diabetes Care 1987), and the analysis of AGP by day of week (Diabetes Care 1988). He was the first to propose use of %Hypoglycemia vs. A1C as a measure of quality of glycemic control (International Diabetes Federation, Kobe, 1993). He developed methods for routine interpretation of SMBG data (Journal of Diabetes Science and Technology (JODSAT), 2007), introduced pie charts and ‘stacked bar charts’ for %Hyper-, %Target- and %Hypoglycemia (JODSAT, 2009), use of a logarithmic scale for glucose (JODSAT, 2009), compact two-dimensional charts of glucose by date and time of day (JODSAT, 2009), and graphs of %Hypoglycemia versus mean glucose or versus A1C (JODSAT, 2015). He developed methods to analyze Continuous Glucose Monitoring (CGM) data to characterize several different types of glycemic variability (within days, between days, between daily means, mean or median glucose by time of day, within short time series (e.g. nocturnal, postprandial), and to evaluate stability of glucose patterns between days and by day of the week (Diabetes Technology and Therapeutics (DTT), multiple articles in 2009). He demonstrated the relationship between glycemic variability (%Coefficient of Variation, %CV) and risk of hypoglycemia both theoretically and empirically (JODSAT, 2012) and demonstrated the high degree of correlation among several measures of glycemic variability. Dr. Rodbard developed computerized clinical decision support systems to assist physicians adjust of therapy in response to glucose data (JODSAT, 2011). He serves on the editorial boards of Journal of Diabetes Science and Technology (JODSAT) and Diabetes Technology and Therapeutics (DTT), and frequently serves as a reviewer for several other journals including Diabetes Care. He has lectured extensively nationally and internationally.