The Local Minimum Dataset of Biochemistry Laboratory Information Systems

Introduction: Biochemistry laboratories provide important information about the health status of people for clinical interventions and decisions. The purpose of this study was to evaluate the data elements of biochemistry laboratory information systems, measure their values, and determine the local minimum dataset (MDS) for designing these systems. Methods: A descriptive-analytical survey was used in this study. The statistical population of this research was hospital and non-hospital biochemistry laboratories in Isfahan city, Iran, and sampling was carried out using the convenient sampling method. The research tools were a checklist and a questionnaire with confirmed validity. Data were analyzed using descriptive statistics and one-sample t, independent t, Friedman and Leven tests via SPSS21 software. Results: The average utilization of the standard data elements in non-hospital and hospital biochemistry laboratory information systems were 61.7% and 61.2%, respectively. The minimum utilization of the standard elements was in the identity information section, physicians and referring centers information sections; and the maximum utilization of the standards was in the accounting section. Some data elements had high value, but had not been considered in the laboratory information systems and some of the current data elements used in the laboratory information systems had low values. Conclusion: Despite the widespread use of the biochemistry laboratory information systems in Iran, the required minimum dataset and international standards have not been considered in their design. Because of the different applications of these systems, using a local minimum dataset for designing these systems is very important.