Design and Management of Database Using Microsoft Access Program: Application in Neurointerventional Unit

Hwang, Seon Moon; Jeong, Gyeong Un; Kim, Tae Il; Cha, Jihyeon; Pyun, Hae Wook; Woo, Ryu Chang; Kim, Ho Sung; Suh, Dae Chul

Abstract

PURPOSE: Complex clinical information in cerebral angiointervention unit requires effective management of statistical analysis for the classification of diagnosis and intervention including follow-up data from the interventional treatment. We present an application of Microsoft Access program for the management of patient data in cerebral angiointervention unit which suggests practical methods in recording and analyzing the patient data.
MATERIALS AND METHODS
Since January 2002, patient information from cerebral angiointervention was managed by a database with over 4000 patients. We designed a program which incorporates six items; Table, Query, Form, Report, Page and Macro. Patient data, follow-up data and information regarding diagnosis and intervention were established in the Form section, related by serial number, and connected to each other to an independent Table. Problems in running the program were corrected by establishing Entity Relationship (ER) diagrams of Tables to define relationships between Tables. Convenient Queries, Forms and Reports were created to display expected information were applied from selected Tables.
RESULTS
The relationship program which incorporated six items conveniently provided the number of cases per year, incidence of disease, lesion site, and case analysis based on interventional treatment. We were able to follow the patients after the interventional procedures by creating queries and reports. Lists of disease and patients files were identified easily each time by the Macro function. In addition, product names, size and characteristics of materials used were indexed and easily available.
CONCLUSION
Microsoft Access program is effective in the management of patient data in cerebral angiointervention unit. Accumulation of large amounts of complex data handled by multiple users may require client/sever solutions such as a Microsoft SQL Server.