title: Computational method of identifying medical complications based on Hospital Information System data.
abstract: This study introduces an objective method for identifying limited types of medical complication cases based only on Hospital Information System (HIS) data. To identify medical complication cases, we established an identifying rule, prepared HIS data, and applied the rule to the data. We identified 3 shock cases with intravenous application of contrast media at CT examination by using only one year (2003/4/1 to 2004/3/31) of HIS data from The University of Tokyo Hospital.
authors.affiliation: Clinical Bioinformatics Research Unit, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
authors.forename: Nobuo
authors.initials: N
authors.lastname: Shinohara
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Oyama
authors.forename: Shiro
authors.initials: S
authors.lastname: Matsuya
authors.forename: Kazuhiko
authors.initials: K
authors.lastname: Ohe
mesh_terms: D003287:Contrast Media / Q000009:adverse effects*; D006751:Hospital Information Systems; D006785:Hospitals, University; D006801:Humans; D007049:Iatrogenic Disease / Q000453:epidemiology*; D012308:Risk Management / Q000379:methods*; D012769:Shock / Q000139:chemically induced / Q000453:epidemiology; D014041:Tokyo; D014057:Tomography, X-Ray Computed / Q000009:adverse effects
chemical_list: D003287:Contrast Media