Clinical application of the integrated multicenter discharge summary database.

We performed the multi-year project to collect discharge summary from multiple hospitals and made the big text database to build a common document vector space, and developed various applications. We extracted 243,907 discharge summaries from seven hospitals. There was a difference in term structure and number of terms between the hospitals, however the differences by disease were similar. We built the vector space using TF-IDF method. We performed a cross-match analysis of DPC selection among seven hospitals. About 80% cases were correctly matched. The use of model data of other hospitals reduced selection rate to around 10%; however, integrated model data from all hospitals restored the selection rate.

Construction of the integrated multicentre discharge summary database.

We started a multi-year project to collect discharge summaries from multiple hospitals and create a big text database to build a common document vector space, and develop various applications such as the autoselection of the disease. As the first step, we extracted discharge summary from two hospitals. Using a text mining method, we carried out a DPC selection. There was a difference in term structure and number of terms between the discharge summaries from both hospitals. Nevertheless, the selection rate of the disease is resembled closely.

Follow-up Study of Academic Performance of Students Accepted on the Basis of Entrance Examination or Recommendations. Entrance Examination Ranking, Premedical and Medical Academic Records, and National Physician's License Examination / 医学教育

We conducted a follow-up analysis of entrance examinations and premedical and medical academic records of students entering medical school after a general screening from 1979 through 1989 and those of students accepted on the basis of recommendations since 1985. To evaluate their academic records all students of each year were divided into five groups on the basis of entrance examination results, and the mean academic rank of the highest 20% and lowest 20% of students were compared. In premedical subjects (i.e., general education and basic sciences), the mean rank of the highest 20% were as low as the average rank, whereas that of the lowest 20% were nearly as high as the average rank. A similar tendency was observed with respect to medical subjects. The average academic rank of students accepted on the basis of recommendations was higher than that of students accepted on the basis of entrance examination.<BR>In a follow-up study, greater insight for the evaluation of academic records was obtained when 100 students were divided into five groups and the highest and lowest 20% were compared than when all students were analyzed as a single group. Finally, all students who graduated in 6 years passed the National Physician's License Examination, whereas the success rate varied among students who took longer than 6 years to graduate.