Quality of human-computer interaction - results of a national usability survey of hospital-IT in Germany

<p>Abstract</p> <p>Background</p> <p>Due to the increasing functionality of medical information systems, it is hard to imagine day to day work in hospitals without IT support. Therefore, the design of dialogues between humans and information systems is one of the most important issues to be addressed in health care. This survey presents an analysis of the current quality level of human-computer interaction of healthcare-IT in German hospitals, focused on the users' point of view.</p> <p>Methods</p> <p>To evaluate the usability of clinical-IT according to the design principles of EN ISO 9241-10 the IsoMetrics Inventory, an assessment tool, was used. The focus of this paper has been put on suitability for task, training effort and conformity with user expectations, differentiated by information systems. Effectiveness has been evaluated with the focus on interoperability and functionality of different IT systems.</p> <p>Results</p> <p>4521 persons from 371 hospitals visited the start page of the study, while 1003 persons from 158 hospitals completed the questionnaire. The results show relevant variations between different information systems.</p> <p>Conclusions</p> <p>Specialised information systems with defined functionality received better assessments than clinical information systems in general. This could be attributed to the improved customisation of these specialised systems for specific working environments. The results can be used as reference data for evaluation and benchmarking of human computer engineering in clinical health IT context for future studies.</p

A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach

E-commerce start-ups have ventured into emerging economies and are growing at a significantly faster pace. Big data has acted like a catalyst in their growth story. Big data analytics (BDA) has attracted e-commerce firms to invest in the tools and gain cutting edge over their competitors. The process of adoption of these BDA tools by e-commerce start-ups has been an area of interest as successful adoption would lead to better results. The present study aims to develop an interpretive structural model (ISM) which would act as a framework for efficient implementation of BDA. The study uses hybrid multi criteria decision making processes to develop the framework and test the same using a real-life case study. Systematic review of literature and discussion with experts resulted in exploring 11 enablers of adoption of BDA tools. Primary data collection was done from industry experts to develop an ISM framework and fuzzy MICMAC analysis is used to categorize the enablers of the adoption process. The framework is then tested by using a case study. Thematic clustering is performed to develop a simple ISM framework followed by fuzzy analytical network process (ANP) to discuss the association and ranking of enablers. The results indicate that access to relevant data forms the base of the framework and would act as the strongest enabler in the adoption process while the company rates technical skillset of employees as the most important enabler. It was also found that there is a positive correlation between the ranking of enablers emerging out of ISM and ANP. The framework helps in simplifying the strategies any e-commerce company would follow to adopt BDA in future. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature

The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview

Aziz Sheikh and colleagues report the findings of their systematic overview that assessed the impact of eHealth solutions on the quality and safety of health care

A multimodal cell census and atlas of the mammalian primary motor cortex

ABSTRACT We report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex (MOp or M1) as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties, and cellular resolution input-output mapping, integrated through cross-modal computational analysis. Together, our results advance the collective knowledge and understanding of brain cell type organization: First, our study reveals a unified molecular genetic landscape of cortical cell types that congruently integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a unified taxonomy of transcriptomic types and their hierarchical organization that are conserved from mouse to marmoset and human. Third, cross-modal analysis provides compelling evidence for the epigenomic, transcriptomic, and gene regulatory basis of neuronal phenotypes such as their physiological and anatomical properties, demonstrating the biological validity and genomic underpinning of neuron types and subtypes. Fourth, in situ single-cell transcriptomics provides a spatially-resolved cell type atlas of the motor cortex. Fifth, integrated transcriptomic, epigenomic and anatomical analyses reveal the correspondence between neural circuits and transcriptomic cell types. We further present an extensive genetic toolset for targeting and fate mapping glutamatergic projection neuron types toward linking their developmental trajectory to their circuit function. Together, our results establish a unified and mechanistic framework of neuronal cell type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties

A combination of two methods for evaluating the usability of a hospital information system

Background: None of the evaluation methods can identify all the usability problems of information systems. So far, no study has sufficiently investigated the potential of a combination of these methods to identify usability problems. The present study aimed at examining the potential for combining two commonly utilized user-based and expert-based methods to evaluate the usability of a hospital information system. Methods: Think aloud (TA) and Heuristic evaluation (HE) methods were used to identify the usability problems of two subsystems of the Social Security Electronic System in Iran. To this end, the problems were categorized into five groups based on ISO-Nielsen usability attributes. The Chi-square test was applied to compare the intended methods based on the total number of problems and the number of problems within each group, followed by utilizing the Mann-Whitney U test to compare the mean severity scores of these methods. Results: The evaluation by combining these methods yielded 423 problems of which 75 varied between the methods. The two methods were significantly different in terms of the total number of problems, the number of problems in each usability group, and the mean severity of two satisfaction and efficiency attributes (P 0.05). In addition, the mean severity of problems identified by each method was at the "Major" level. Conclusion: Based on the results, although the mean severity scores of the identified problems were not significantly different, these methods identify heterogeneous problems. HE mainly identifies problems related to satisfaction, learnability, and error prevention while TA detects problems related to effectiveness and efficiency attributes. Therefore, using a combination of these two methods can identify a wider range of usability problems. © 2020 The Author(s)

The efficiency and effectiveness of surgery information systems in Iran

Background: Despite the prevalent use and advantages of information systems in hospitals, some have failed to meet their predefined objectives. Surgery information system (SIS) is a sub-system of a hospital information system. Its effective and efficient operation could enhance patient care in the busy environment of operating rooms with multiple tasks. The objective of this study was to evaluate the effectiveness and efficiency of SIS in three educational hospitals. Methods: Data were collected using a questionnaire completed by 82 users of SIS. This questionnaire contains three parts: 1) participants' demographic information, 2) questions regarding the efficiency of SIS, and 3) questions about its effectiveness. An independent sample t-test was used to compare the efficiency and effectiveness among systems. Chi-squared and Fisher tests were used to determine the relationship between the participants' demographics and efficiency and effectiveness as well as the relationship between efficiency and effectiveness. Results: About 23 of the participants rated the system's efficiency as low, 29 as medium, and 48 as high. Besides, 24 of the participants considered the effectiveness of the system as low, 31 as medium, and 45 as high. There was a significant correlation between the efficiency and effectiveness of SIS (p � 0.0001). Conclusion: Based on the perspective of most participants (44)the efficiency and effectiveness of both surgery information systems were acceptable. The results suggest that these systems should be designed in a way that facilitate user's interaction and reduce the time takes to complete tasks. The results could be useful for developing and designing an efficient and effective system. © 2020 The Author(s)

Usability evaluation of a comprehensive national health information system: relationship of quality components to users� characteristics

Objective: One of the most important methods for evaluating information systems is usability evaluation. Usability is a context-dependent qualitative feature that is measured by multiple quality components that can be related to users� characteristics. This study was conducted to evaluate the usability of a comprehensive national health information system (SIB; an abbreviation for the Persian equivalent of �integrated health system�) from the perspective of different users and to determine the relationship between quality components and users� characteristics. Method: The study population were users of the national health information system (n = 309) at health centers and health homes affiliated to Kashan University of Medical Sciences, Kashan, Iran. Data were collected using Software Usability Measurement Inventory (SUMI) questionnaire which measures users' experiences of software interface in five quality components (i.e. affect, efficiency, helpfulness, control, and learnability) and provides a global usability score. SUMI scores were analyzed according to an extensive reference database (SUMISCO). The relationships between quality components and users� characteristics were investigated by one-way analysis of variance (ANOVA), independent t-test, and Pearson's correlation coefficient. Results: A total of 250 users completed the questionnaire (response rate = 81). The mean scores of all quality components were significantly lower than the mean of SUMISCO. Learnability score had significant relationships with the user's position, education level, and field of education (P < 0.001). Physicians scored significantly lower than other users in efficiency, helpfulness and global usability (P < 0.05). Users' practice experience and age had significant linear inverse relationships with efficiency, helpfulness, and learnability (P < 0.05). Conclusions: The national health information system which is used by a large number of users across a developing country have low usability. Given the significant relationships between the users� characteristics of such systems and quality components, it is essential to consider the characteristics and needs of various user groups during the processes of system analysis and design. © 2019 Elsevier B.V

The relationship between user interface problems of an admission, discharge and transfer module and usability features: A usability testing method

Background: The admission, discharge and transfer (ADT) module is used in the hospital information system (HIS) for the purposes of managing appointments, patient admission, daily control of hospital beds, planning surgery procedures, keeping up-to-date on patient discharges, and registering patient transfers within or outside the hospital. The present study aimed to evaluate the usability of ADT module of a HIS through usability testing and assess the relationship between the number of user interface problems and usability features (i.e. effectiveness, efficiency, and satisfaction). Methods: This descriptive analytical study was conducted in Shahid Beheshti hospital in Kashan, Iran, in 2017. The participating users were eight students in their last semester of a Bachelor of Health Information Technology Sciences degree. First, the users were introduced to the module functions in a two-hour session; ten days later, the users were asked to perform scenarios designed based on seven tasks and take notes of the problems encountered in performing each task after it was over. Effectiveness was measured based on the rate of completing the tasks, efficiency based on the time taken to perform each task, and satisfaction based on the users' answers to a satisfaction questionnaire. The relationship between these three usability features and the number of problems noted was assessed using Spearman's test in SPSS version 16. Results: Thirteen unique usability problems were identified from the perspective of the users. Effectiveness was rated as 58.9, efficiency as 53.3, and mean user satisfaction as 53.4 ± 10.6. The number of problems in each task had significant relationships to the effectiveness (P = 0.009) and efficiency (P = 0.016) scores. User satisfaction also had a significant relationship with the effectiveness (P = 0.043) but not with the efficiency (P = 0.230) scores. Conclusions: In the view of the potential users, a HIS, used in more than 200 hospitals in a developing country, has several usability problems in its ADT module and its effectiveness, efficiency, and user satisfaction were not acceptable. The number of usability problems in the HIS user interface affected the effectiveness, efficiency and user satisfaction of the system. © 2019 The Author(s)