Internal Medicine

Prakash M. Nadkarni, MD


Research Professor of Internal Medicine  - General Internal Medicine

Contact Information



MBBS, Bombay University
MD, Pharmacology, Bombay University

Research Summary

Biomedical Informatics – the application of computing to problems related to clinical and life sciences – is a means to an end, which is the ultimate improvement of processes aimed at delivering better healthcare and better clinical/preclinical research. As such, it is highly collaborative and inter-disciplinary: problems are suggested by unsolved needs of clinicians and researchers in a variety of fields, and if the solution involves computing or information technology, that is where I come in. To ensure that the solution meets the approval of its users, it is developed in iterative cycles through close collaboration. While I thus provide "service", "research" comes from devising ways to deliver solutions efficaciously. To quote the late Saul Alinsky, Hell is a place where one does the same thing over and over again, and efficacious delivery often involves creating novel and generalizable approaches that save the trouble of having to repeatedly reinvent wheels.

My primary area of research involves capturing descriptions of electronic systems in sufficient detail, and with sufficient richness of structure, as to facilitate their understanding and documentation and more importantly, automation of operations that would otherwise require tedious manual programming. The latter aspect exemplifies what is called “creative laziness”: working harder initially to come up with a generalizable solution to a family of problems, which in turn reduces future effort by eliminating or greatly reducing programming/maintenance drudgery. The issue of electronic descriptions (metadata) is sufficiently broad as to apply in a variety of sub-domains: my publications are consequently fairly diverse, though I have focused in the past on support of system designs to support clinical and preclinical research.

Selected Publications

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Shah H, Allard R, Enberg R, Krishnan G, Williams P, Nadkarni P.  Requirements for guidelines systems: implementation challenges and lessons from existing software-engineering efforts..  BMC Med Inform Decis Mak.  2012. 12:16.

Richesson R, Nadkarni P.  Data standards for clinical research data collection forms: current status and challenges.  J Am Med Inform Assoc.  2011 May. 18(3):341-6.

Nadkarni P.  Drug safety surveillance using de-identified EMR and claims data: issues and challenges (Editorial).  J Am Med Inform Assoc.  2010. 17(6):671-4.

Nadkarni P, Marenco L.  Database architectures for neuroscience applications. Methods in Molecular Biology.  Methods in Molecular Biology.  2007. 401:37-52.

Dinu V, Nadkarni P.  Guidelines for the effective use of entity-attribute-value modeling for biomedical databases.  International journal of medical informatics.  2007. 76(11-12):769-79.

Nadkarni P.  An introduction to information retrieval: applications in genomics..  The pharmacogenomics journal.  2002. 2(2):96-102.

Nadkarni P, Chen R, Brandt C.  UMLS Concept Indexing for Production Databases: A Feasibility Study.  Journal of the American Medical Informatics Association : JAMIA.  2001. 8(1):80-91.

Mutalik P, Deshpande A, Nadkarni P.  Use of general-purpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS..  Journal of the American Medical Informatics Association : JAMIA.  2001. 8(6):598-609.

Nadkarni P, Marenco L, Chen R, Skoufos E, Shepherd G, Miller P.  Organization of heterogeneous scientific data using the EAV/CR representation..  Journal of the American Medical Informatics Association : JAMIA.  1999. 6(6):478-93.

Date Last Modified: 06/06/2016 - 13:17:48