The Future of Medical Diagnostics: Large Digitized
Databases |
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| Authors: | Wesley T. Kerr Edward P. Lau Gwen E. Owens Aaron Trefler |
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| Affiliation: | aDepartment of Biomathematics, University of California, Los Angeles, California;bUCLA-Caltech Medical Scientist Training Program, Los Angeles, California;cDepartment of Psychiatry, University of California, Los Angeles, California;dCalifornia Institute of Technology Graduate Program in Biochemistry and Molecular Biophysics, Los Angeles, California;eDepartment of Psychology, University of California, Los Angeles, California |
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| Abstract: | The electronic health record mandate within the American Recovery andReinvestment Act of 2009 will have a far-reaching affect on medicine. In thisarticle, we provide an in-depth analysis of how this mandate is expected tostimulate the production of large-scale, digitized databases of patientinformation. There is evidence to suggest that millions of patients and theNational Institutes of Health will fully support the mining of such databases tobetter understand the process of diagnosing patients. This data mining likelywill reaffirm and quantify known risk factors for many diagnoses. Thisquantification may be leveraged to further develop computer-aided diagnostictools that weigh risk factors and provide decision support for health careproviders. We expect that creation of these databases will stimulate thedevelopment of computer-aided diagnostic support tools that will become anintegral part of modern medicine. |
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| Keywords: | electronic health record computer-aided diagnostics machine learning databases |
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