Implementation of a database for the follow-up of aortic diseases
Objective: The aim of the database is to record perioperative and long-term data of patients undergoing aortic surgery using an applicable data management system which enables an optimized monitoring of quality and performance of the patient treatment. The database is developed to collect perioperat...
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Format: | Tagungsbericht |
Sprache: | eng ; ger |
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Zusammenfassung: | Objective:
The aim of the database is to record perioperative and long-term data of patients undergoing aortic surgery using an applicable data management system which enables an optimized monitoring of quality and performance of the patient treatment. The database is developed to collect perioperative and follow-up data with the aim to improve the quality of the patient treatment undergoing aortic surgery and to evaluate patient risks by means of several risk scores using an applicable data management system.
Methods:
The database is established on Microsoft® Access 97. Several categories contain data of the preoperative and intraoperative state, postoperative complications and long-term results or circumstances of death (Fig.). Additionally a separate category is installed focusing on the risk of rupture in the period of one year, the risk of surgery and the risk of paraplegia after surgical treatment.
Fig.
Screenshot of all categories of the database
Results:
In a period of three years we successfully acquired and processed data from 260 patients undergoing surgical treatment of the thoracic or thoracoabdominal aorta in the past five years. This interactive data processing system records the entire clinical course of the patient and serves for scientific and documentary purposes. Simultaneous use by several participants is possible.
Conclusion:
The database is a valuable tool for quality management and follow-up visits and a platform for clinical research. Implementing a national database via internet for patients treated on aortic diseases would lead to a contemporary documentation and evaluation of acquired data allowing
a fast improvement of quality management in aortic surgery which every participating department would benefit from. |
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ISSN: | 0171-6425 1439-1902 |
DOI: | 10.1055/s-2004-816751 |