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Introduction to Biomedical Informatics and Data Science

  1. Introduction
  2. Key Readings

Introduction

biomedical informatics pipeline
Adapted from: https://www.dbmi.columbia.edu/about-dbmi/

A Formal Definition:
Interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated by efforts to improve human health.
  • Scope and breadth of discipline: investigates and supports reasoning, modeling, simulation, experimentation, and translation across the spectrum from molecules to individuals and to populations, from biological to social systems, bridging basic and clinical research and practice and the healthcare enterprise.
  • Theory and methodology: develops, studies, and applies theories, methods, and processes for the generation, storage, retrieval, use, management, and sharing of biomedical data, information, and knowledge.
  • Technological approach: builds on and contributes to computer, telecommunication, and information sciences and technologies, emphasizing their application in biomedicine.
  • Human and social context: draws upon the social and behavioral sciences to inform the design and evaluation of technical solutions, policies, and the evolution of economic, ethical, social, educational, and organizational systems.
Kulikowski CA, Shortliffe EH, Currie LM, et al. AMIA Board white paper: definition of biomedical informatics and specification of core competencies for graduate education in the discipline. J Am Med Inform Assoc. 2012;19(6):931–938. doi:10.1136/amiajnl-2012-001053

Key Readings

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