Related Experiment Video
Updated: Jun 4, 2026
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
Published on: November 22, 2019
Data completeness can be optimized in clinical databases
1Department of Surgery K, Bispebjerg Hospital, Faculty of Health Sciences, University of Copenhagen, Denmark. pwil0002@bbh.regionh.dk
Introduction:
The aim of the present paper was to analyse the incidence of and reasons for data incompleteness in reporting of colorectal cancer from a single department to a national database.
Material And Methods:
A list of errors comparing the database with the National Patient Registry is drawn up monthly and has been used for data completeness analysis for several years as part of the department's daily routine. In May 2009, this system was revised and we identified a number of new errors which we previously thought had been corrected. The nature of these errors has been analysed in detail.
Results:
According to the National Patients Registry, a total of 1,530 patients were treated for a first-time colorectal cancer. In 60 cases (3.9%) patients were missing in the database. Erroneous registration of the diagnosis in the National Patient Registry on the part of the department was the primary reason why data were missing. This was followed by clerical errors at the department. All mistakes were explainable, but changes in the registry structure prevented some of the mistakes discovered from being corrected retrospectively.
Conclusion:
The number of missing patients in the database could be minimized by a meticulous effort at controlling data and comparing them with data in national registries.
Related Concept Videos
01:10Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
01:30Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
01:11Purpose of Health Records I
Here's a breakdown of how health records serve these purposes:
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
01:16Clinical Trials
There are four phases in a clinical trial. A phase one...
01:27Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include: