The future of medical diagnostics: large digitized databases

Yale J Biol Med. 2012 Sep;85(3):363-77. Epub 2012 Sep 25.

Abstract

The electronic health record mandate within the American Recovery and Reinvestment Act of 2009 will have a far-reaching affect on medicine. In this article, we provide an in-depth analysis of how this mandate is expected to stimulate the production of large-scale, digitized databases of patient information. There is evidence to suggest that millions of patients and the National Institutes of Health will fully support the mining of such databases to better understand the process of diagnosing patients. This data mining likely will reaffirm and quantify known risk factors for many diagnoses. This quantification may be leveraged to further develop computer-aided diagnostic tools that weigh risk factors and provide decision support for health care providers. We expect that creation of these databases will stimulate the development of computer-aided diagnostic support tools that will become an integral part of modern medicine.

Keywords: computer-aided diagnostics; databases; electronic health record; machine learning.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • American Recovery and Reinvestment Act
  • Computational Biology / methods
  • Data Mining*
  • Database Management Systems
  • Databases, Factual*
  • Decision Support Systems, Clinical
  • Decision Support Techniques
  • Diagnosis, Computer-Assisted / methods
  • Diagnosis, Computer-Assisted / trends*
  • Diagnostic Techniques and Procedures / trends*
  • Electronic Health Records / legislation & jurisprudence
  • Electronic Health Records / organization & administration
  • Humans
  • Mandatory Programs / organization & administration
  • National Institutes of Health (U.S.) / organization & administration
  • Risk Factors
  • United States