Prioritizing factors influencing nurses' satisfaction with hospital information systems: a fuzzy analytic hierarchy process approach

Development and Evaluation of a Web-Based Application for Trauma Nursing Documentation in Thailand: A Feasibility Study

BACKGROUND

Electronic nursing documentation has advantages for monitoring and improving the quality of trauma nursing documentation. However, electronic nursing documentation has rarely been implemented in Thailand.

OBJECTIVES

This study aimed to assess the feasibility and nursing satisfaction of a web-based trauma nursing documentation application.

METHODS

A descriptive cross-sectional survey design was used to assess the feasibility and nursing satisfaction with a web-based trauma nursing documentation application. The application was based on literature review, Advanced Trauma Life Support principles, and the North American Nursing Diagnosis Association. The survey was administered to trauma and emergency department registered nurses in a hospital in Thailand from November 2021 to January 2022. Patient data were also extracted from the web application system for analysis.

RESULTS

A total of 59 nurses piloted the web-based application on 79 trauma patients. Of 59 nurses, 45 (76.3%) were female, 44 (74.6%) had worked in the emergency department for more than 5 years, and 49 (83.1%) had no prior experience with using web-based applications. The nurses were satisfied with the application (M = 3.51, SD = 0.62), and they suggested that it was feasible to apply in practice (M = 3.46, SD = 0.79).

CONCLUSION

These preliminary data demonstrate that implementing a web-based application for trauma nursing documentation in the emergency department is feasible and satisfactory to nurses.

Usability evaluation of a nursing information system by applying cognitive walkthrough method

BACKGROUND AND OBJECTIVE

The user interface usability of the nursing information system (NIS) should be such that the nurses can learn and interact with it easily and quickly. Therefore, it is necessary to identify and solve the usability problems of these systems. The present study aimed to evaluate the usability of a NIS using the cognitive walkthrough (CW) evaluation method.

METHODS

Based on five selected scenarios, five evaluators evaluated the NIS in Shafa Hospital Information System. After identifying the problems, the evaluators assigned each problem to one of the usability attributes. The severity of each identified problem was determined by the evaluators and five real users of the system.

RESULTS

In total, 24 unique problems were identified. The average severity of the problems was determined by the evaluators (2.77) and the actual users (2.82) in the "major problem" category. The highest number of problems were assigned to the scenarios 3 and 2 with 15 and 14 problems, respectively. The highest average severity in terms of evaluations and actual users was related to the scenario 5 (3.06 and 2.94, respectively), which was in the "major problem" category. The highest number of problems were associated with learnability (8 problems) and efficiency (6 problems).

CONCLUSION

Since most of the nurses do not have enough time for learning the system, and given that the selected scenarios for evaluation were based on the most frequent daily tasks that nurses performed using the NIS; The correction of usability problems in the scenarios 3 and 2 that had the highest number of problems and the scenario 5 that had the highest average severity and execution time; it can reduce the nurses' cognitive load and the learning time of the system and increase the efficiency of nurses.

Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: Study in Seven European Union Countries

Background

Several models suggest how the qualities of a product or service influence user satisfaction. Models such as the Customer Satisfaction Index (CSI), Technology Acceptance Model (TAM), and Delone and McLean Information Systems Success demonstrate those relations and have been used in the context of health information systems.

Objective

This study aimed to investigate which qualities foster greater satisfaction among patient and professional users. In addition, we are interested in knowing to what extent improvement in those qualities can explain user satisfaction and whether this makes user satisfaction a proxy indicator of those qualities.

Methods

The Unified eValuation using ONtology (UVON) method was used to construct an ontology of the required qualities for 7 electronic health (eHealth) apps being developed in the Future Internet Social and Technological Alignment Research (FI-STAR) project, a European Union (EU) project in electronic health (eHealth). The eHealth apps were deployed across 7 EU countries. The ontology included and unified the required qualities of those systems together with the aspects suggested by the Model for ASsessment of Telemedicine apps (MAST) evaluation framework. Moreover, 2 similar questionnaires for 87 patient users and 31 health professional users were elicited from the ontology. In the questionnaires, the user was asked if the system has improved the specified qualities and if the user was satisfied with the system. The results were analyzed using Kendall correlation coefficients matrices, incorporating the quality and satisfaction aspects. For the next step, 2 partial least squares structural equation modeling (PLS-SEM) path models were developed using the quality and satisfaction measure variables and the latent construct variables that were suggested by the UVON method.

Results

Most of the quality aspects grouped by the UVON method are highly correlated. Strong correlations in each group suggest that the grouped qualities can be measures that reflect a latent quality construct. The PLS-SEM path analysis for the patients reveals that the effectiveness, safety, and efficiency of treatment provided by the system are the most influential qualities in achieving and predicting user satisfaction. For the professional users, effectiveness and affordability are the most influential. The parameters of the PLS-SEM that are calculated allow for the measurement of a user satisfaction index similar to CSI for similar health information systems.

Conclusions

For both patients and professionals, the effectiveness of systems highly contributes to their satisfaction. Patients care about improvements in safety and efficiency, whereas professionals care about improvements in the affordability of treatments with health information systems. User satisfaction is reflected more in the users’ evaluation of system output and fulfillment of expectations but slightly less in how far the system is from ideal. Investigating satisfaction scores can be a simple and fast way to infer if the system has improved the abovementioned qualities in treatment and care.

Evaluation of Nursing Information Systems: Application of Usability Aspects in the Development of Systems

Objectives

As the largest group providing healthcare services, nurses require well-designed information systems in their practice. This study aims to evaluate the usability of nursing information systems (NIS).

Methods

This cross-sectional survey was conducted in 2015. The settings of the study consisted of four hospitals affiliated with three medical universities in Tehran (Iran). The subjects of the study included nurses who had access to and used a NIS developed by four major software companies. The data were collected using a modified version of a usability questionnaire known as IsoMetrics, based on the International Standard ISO 9241, Part 11. The questionnaire is composed of 35 questions divided into seven general criteria. The validity of the questionnaire was determined by experts in the field, and the reliability was checked using Cronbach's alpha (α = 0.91). The questionnaire was then distributed to 184 nurses.

Results

The response rate was 64.6%. Among the seven ISO usability criteria, suitability for the task (3.10 ± 1.24) and suitability for learning (3.10 ± 1.27) had the highest mean value. The lowest mean value (2.37 ± 1.29) was related to the suitability for individualization.

Conclusions

Addressing issues related to individualization and self-descriptiveness could improve the usability of nursing systems. Considering usability requirements in the design of a NIS will lead to the efficient and effective use of these systems.

Nurses' Satisfaction With Using Nursing Information Systems From Technology Acceptance Model and Information Systems Success Model Perspectives: A Reductionist Approach

Nursing information systems can enhance nursing practice and the efficiency and quality of administrative affairs within the nursing department and thus have been widely considered for implementation. Close alignment of human-computer interaction can advance optimal clinical performance with the use of information systems. However, a lack of introduction of the concept of alignment between users' perceptions and technological functionality has caused dissatisfaction, as shown in the existing literature. This study provides insight into the alignment between nurses' perceptions and how technological functionality affects their satisfaction with Nursing Information System use through a reductionist perspective of alignment. This cross-sectional study collected data from 531 registered nurses in Taiwan. The results indicated that "perceived usefulness in system quality alignment," "perceived usefulness in information quality alignment," "perceived ease of use in system quality alignment," "perceived ease of use in information quality alignment," and "perceived ease of use in service quality alignment" have significantly affected nurses' satisfaction with Nursing Information System use. However, "perceived usefulness in service quality alignment" had no significant effect on nurses' satisfaction. This study also provides some meaningful implications for theoretical and practical aspects of design.

Use of electronic medical records and quality of patient data: different reaction patterns of doctors and nurses to the hospital organization

BACKGROUND

As the implementation of Electronic Medical Records (EMRs) in hospitals may be challenged by different responses of different user groups, this paper examines the differences between doctors and nurses in their response to the implementation and use of EMRs in their hospital and how this affects the perceived quality of the data in EMRs.

METHODS

Questionnaire data of 402 doctors and 512 nurses who had experience with the implementation and the use of EMRs in hospitals was analysed with Multi group Structural equation modelling (SEM). The models included measures of organisational factors, results of the implementation (ease of use and alignment of EMR with daily routine), perceived added value, timeliness of use and perceived quality of patient data.

RESULTS

Doctors and nurses differ in their response to the organisational factors (support of IT, HR and administrative departments) considering the success of the implementation. Nurses respond to culture while doctors do not. Doctors and nurses agree that an EMR that is easier to work with and better aligned with their work has more added value, but for the doctors this is more pronounced. The doctors and nurses perceive that the quality of the patient data is better when EMRs are easier to use and better aligned with their daily routine.

CONCLUSIONS

The result of the implementation, in terms of ease of use and alignment with work, seems to affect the perceived quality of patient data more strongly than timeliness of entering patient data. Doctors and nurses value bottom-up communication and support of the IT department for the result of the implementation, and nurses respond to an open and innovative organisational culture.

Application and Exploration of Big Data Mining in Clinical Medicine

OBJECTIVE

To review theories and technologies of big data mining and their application in clinical medicine.

DATA SOURCES

Literatures published in English or Chinese regarding theories and technologies of big data mining and the concrete applications of data mining technology in clinical medicine were obtained from PubMed and Chinese Hospital Knowledge Database from 1975 to 2015.

STUDY SELECTION

Original articles regarding big data mining theory/technology and big data mining's application in the medical field were selected.

RESULTS

This review characterized the basic theories and technologies of big data mining including fuzzy theory, rough set theory, cloud theory, Dempster-Shafer theory, artificial neural network, genetic algorithm, inductive learning theory, Bayesian network, decision tree, pattern recognition, high-performance computing, and statistical analysis. The application of big data mining in clinical medicine was analyzed in the fields of disease risk assessment, clinical decision support, prediction of disease development, guidance of rational use of drugs, medical management, and evidence-based medicine.

CONCLUSION

Big data mining has the potential to play an important role in clinical medicine.

An importance-performance analysis of hospital information system attributes: A nurses' perspective

PURPOSE

Health workers have numerous concerns about hospital IS (HIS) usage. Addressing these concerns requires understanding the system attributes most important to their satisfaction and productivity. Following a recent HIS implementation, our objective was to identify priorities for managerial intervention based on user evaluations of the performance of the HIS attributes as well as the relative importance of these attributes to user satisfaction and productivity outcomes.

PROCEDURES

We collected data along a set of attributes representing system quality, data quality, information quality, and service quality from 154 nurse users. Their quantitative responses were analysed using the partial least squares approach followed by an importance-performance analysis. Qualitative responses were analysed using thematic analysis to triangulate and supplement the quantitative findings.

MAIN FINDINGS

Two system quality attributes (responsiveness and ease of learning), one information quality attribute (detail), one service quality attribute (sufficient support), and three data quality attributes (records complete, accurate and never missing) were identified as high priorities for intervention.

CONCLUSIONS

Our application of importance-performance analysis is unique in HIS evaluation and we have illustrated its utility for identifying those system attributes for which underperformance is not acceptable to users and therefore should be high priorities for intervention.