Title :
Merging medical informatics and automated diagnostic methods
Author :
Hudson, D.L. ; Cohen, M.E.
Author_Institution :
Family & Community Med., UCSF, Fresno, CA, USA
Abstract :
In many instances disease diagnosis is more of an art than a science due to the complexity of disease, lack of detailed information on parameters that are indicative of the disease, and lack of sufficient data to apply these parameters to both diagnosis and treatment. Broad-based expansion of electronic health records (EHRs) will produce additional data for improved model development. However many obstacles remain. Patient record content is not broadly available because of privacy concerns and the lack of standardization of EHR formats. If available on a large scale, de-identified medical records can provide a basis for development of disease models by removing privacy concerns. Once comprehensive disease models have been developed that assist in identifying possible diseases and also include parameters that were utilized along with their relative importance, automated analytic methods can be used to indicate the likelihood of the presence of specific diseases. Although the physician will always remain as the final expert, these methods can provide an expanded information set and provide analysis that is too complex for standard methods.
Keywords :
data privacy; medical information systems; patient diagnosis; physiological models; security of data; EHR format standardization; automated analytic method; automated diagnostic method; comprehensive disease model; deidentified medical record; disease analysis; disease complexity; disease diagnosis; disease expanded information set; disease identification; disease model development; disease parameter detailed information; disease parameter parameter application; disease presence likelihood; disease treatment; electronic health record broad-based expansion; medical informatics; patient privacy concern; patient record content; privacy concern removal; Data models; Diseases; Equations; Genetics; History; Medical diagnostic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610617