Introduction: The skilled IT staff about big data analytics can motivate organizations to adopt the big data analytics. The aim of the current study is to present the knowledge, attitude, and challenges of the big data analytics based on IT staff’ viewpoints in a developing country.Material and Methods: A self-administered semi-structured questionnaire was developed based on a literature review. Content validity and face validity were measured using Delphi technique. The questionnaire comprised of three parts including knowledge, attitude, and challenges. Descriptive statistics were used to summarize the results. The chi-square test was applied to identify associations between knowledge and attitude of participants with the demographic characteristics.Results: Out of a total of 250 IT staffs, 120 participated in the study. Knowledge levels were low, moderate, and high in 35.0%, 33.3%, and 31.7 % of the participants, respectively. The two most affecting factors on the knowledge level of participants were age groups and sex. IT staffs hold a positive attitude toward big data analytics. The most of IT staffs believed that big data management is necessary for the country and they agreed that big data analyzes can provide many advantages to organization managers. As well, 35 challenges of the big data analytics were identified.Conclusions: Our results showed that the big data analytics face with many problems in following issues: awareness and education, recruiting skilled specialists, presentation big data analytics benefits to IT managers and policy-makers, conducting research projects, developing a strategic plan at national and local levels.
Background: Laboratory information systems are widely used health information systems that have the potential to improve health care quality. Despite their benefits, many studies have indicated problems with user interaction with these systems due to poor interface design. Aims: To evaluate the usability of a laboratory information system. Methods: In this descriptive, cross-sectional study, we used heuristic evaluation to examine the user interface design of a laboratory information system in an academic hospital affiliated with Kerman University of Medical Sciences in 2017. This system is also used in 59 other Iranian hospitals .We investigated the usability of different parts of the usability of a laboratory information system (outpatient admission, inpatient admission, sample collection, and test result reporting). Data were collected using a standard form based on the heuristic evaluation method, and categorized based on their severity and violated heuristics. The content validity was confirmed by 3 medical informatics specialists. Results: We identified 162 usability problems. In terms of the heuristics, the highest number of problems concerned flexibility and efficiency of use (n = 32, 19.75%) and the lowest concerned help users recognize, diagnose, and recover from errors (n = 2, 1.23%). In terms of different modules of the system, the highest number of problems (n = 51, 31.48%) concerned outpatient admission and the lowest (n = 29, 17.9%) concerned sample collection. In terms of severity, 45.06% of the problems were rated as major. Conclusions: Despite widespread use of laboratory information systems, their user interface design has usability problems that diminish the quality of user interaction with these systems and may affect the quality of health care. Consideration of standards and principles for user interface design, such as the heuristics used in this study, could improve system usability.
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