Hospital information system user acceptance factors: User group perspectives

Acceptance of artificial intelligence clinical assistant decision support system to prevent and control venous thromboembolism among healthcare workers: an extend Unified Theory of Acceptance and Use of Technology Model

Background

Venous thromboembolism (VTE) is an important global health problem and the third most prevalent cardiovascular disorder. It has been proven that computerized tools were helpful in the prevention and control of VTE. However, studies that focused on the acceptance of computerized tools for VTE prevention among healthcare workers were limited.

Objective

This study aims to explore what factors are influencing healthcare workers' acceptance of the Artificial Intelligence Clinical Assistant Decision Support System (AI-CDSS) for VTE prevention based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT).

Methods

We conducted a cross-sectional survey among healthcare workers in three grade-A tertiary hospitals in Shanxi, China. Statistically, the hypothesized model was evaluated by AMOS structural equation modeling.

Results

510 (72.86%) valid surveys were collected in total. The results showed that performance expectancy (β = 0.45, P < 0.001), effort expectancy (β = 0.21, P < 0.001), and top management support (β = 0.30, P < 0.001) positively influenced healthcare workers' intention. Top management support was an antecedent of performance expectancy (β = 0.41 , P < 0.001), social influence (β = 0.57, P < 0.001), effort expectancy (β = 0.61, P < 0.001), and information quality (β = 0.59, P < 0.001). In addition, Social influence positively influenced performance expectancy (β = 0.52, P < 0.001), and information quality positively influenced system quality (β = 0.65, P < 0.001). Social influence did not influence nurses' behavioral intention (β = 0.06, p = 0.376), but negatively influenced clinicians' behavioral intention in the model (β = -0.19, P < 0.001). System quality positively influenced nurses' behavioral intention; (β = 0.16, P < 0.001), and information quality positively influenced clinicians' behavioral intention (β = 0.15, p = 0.025).

Conclusion

With this model explaining 76.3% variance of the behavioral intention variable, this study could be useful as a reference for hospital administrators to evaluate future developments and facilitate the implementation of AI-CDSS for VTE prevention.

Technological innovation for workload allocation in nursing care management: an integrative review

Background

Technology reduces the nursing workload, improve the quality care processes, patient's safety, and avoid staff burnout. Innovative technologies are disrupting healthcare systems by improving the efficiency of processes and management. There is a discussion on the benefits, challenges, and barriers of these technologies and considering human factors of nursing management. The aim was to analyze the influence of technologies on the distribution of workload for nursing care management.

Methods

An integrative literature review was performed. Four databases were searched: Scopus, Scielo, PUBMED, and CINALH following PRISMA guidelines. Articles published from January 2016 to December 2020, published in English, Spanish and Portuguese were included. Studies were excluded when they were not original research, did not met the quality criteria or they did not answer the research questions. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Two reviewers independently examined the title and abstract for eligibility according to the inclusion and exclusion criteria.

Results

2818 potentially relevant articles were found, but once the inclusion and exclusion criteria in the abstracts were analyzed, 177 remained for evaluation. After following the PRISMA Guidelines, 35 studies were included in the review. Three categories were identified: Nursing workload; Information technologies and technological means for management; Technology acceptance.

Conclusions

Technology has the potential to improve care management by estimating nurse workload in ICUs and non-critical units, but scientific evidence is more detailed in the former type of services. The literature provides insights about the factors that factors and the barriers that promote the technology acceptance and usability. We did not find studies comparing technologies and no scientific evidence proving improvements in care.

Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model

Background

Venous thromboembolism has been a major public health problem and caused a heavy disease burden. Venous thromboembolism clinical decision support system was proved to have a positive influence on the prevention and management of venous thromboembolism. As the direct users, nurses' acceptance of this system is of great importance to support the successful implementation of it. However, there are few relevant studies to investigate nurses' acceptance and the associated factors are still unclear.

Objective

To investigate the determinant factors of nurses' acceptance of venous thromboembolism clinical decision support system with the modified Unified Theory of Acceptance and Use of Technology.

Methods

We designed a questionnaire based on the modified Unified Theory of Acceptance and Use of Technology and then a cross-sectional survey was conducted among nurses in a tertiary hospital in Nanjing, China. Statistically, a Structural Equation Modeling -Partial Least Squares path modeling approach was applied to examine the research model.

Results

A total of 1100 valid questionnaires were recycled. The modified model explained 74.7%, 83.0% and 86% of the variance in user satisfaction, behavioral intention and user behavior, respectively. The results showed that performance expectancy (β = 0.254, p = 0.000), social influence (β = 0.136, p = 0.047), facilitating conditions (β = 0.245, p = 0.000), self-efficacy (β = 0.121, p = 0.048) and user satisfaction (β = 0.193, p = 0.001) all had significant effects on nurses' intention. Although effort expectancy (β = 0.010, p = 0.785) did not have a direct effect on nurses' intention, it could indirectly influence nurses' intention with user satisfaction as the mediator (β = 0.296, p = 0.000). User behavior was significantly predicted by facilitating conditions (β = 0.298, p = 0.000) and user intention (β = 0.654, p = 0.001).

Conclusion

The research enhances our understanding of the determinants of nurses' acceptance of venous thromboembolism clinical decision support system. Among these factors, performance expectancy was considered as the top priority. It highlights the importance of optimizing system performance to fit the users' needs. Generally, the findings in our research provide clinical technology designers and administrators with valuable information to better meet users' requirements and promote the implementation of venous thromboembolism clinical decision support system.

Construction and Clinical Application Effect of General Surgery Patient-Oriented Nursing Information Platform Using Cloud Computing

The paper aims to build a nursing information platform (NIP) for general surgery (GS) patients and explore its clinical application effect based on cloud computing (CC) technology. Specifically, the present work first analyzes and expounds on the characteristics of GS patients, the CC concept, the three-tier service mode of CC, and the cloud data center (CDC). Secondly, based on the principle of the overall system design, the evaluation indexes of medical care end, patient end, family end, and management end are constructed using Visual Studio 2010. Thirdly, the expert evaluation and user evaluation methods are selected to analyze the clinical application effect of the proposed system. Finally, SPSS is used to analyze the effect of the proposed system. The results of the first and second rounds of the expert evaluation show that the authority coefficient of experts is greater than 0.7, which indicates that the degree of expert authority is good. The proposed CC-based GS patient-oriented NIP system is universal. The evaluation results of 20 users have shown 15 doctors and nurses, 14 patients, and 18 family members, who mostly still support applying the proposed CC-based GS patient-oriented NIP system and believe that the system brings convenience and improves work efficiency. In short, more incentives should be taken to build a NIP for GS patients.

Development an extended-information success system model (ISSM) based on nurses' point of view for hospital EHRs: a combined framework and questionnaire

Background

Understanding the hospital EHR success rate has great benefits for hospitals. The present study aimed to 1-Propose an extended-ISSM framework and a questionnaire in a systematic manner for EHR evaluation based on nurses’ perspectives, 2-Determine the EHR success rate, and 3-Explore the effective factors contributing to EHR success.

Methods

The proposed framework was developed using ISSM, TAM3, TTF, HOT-FIT, and literature review in seven steps. A self-administrated structured 65-items questionnaire was developed with CVI: 90.27% and CVR: 94.34%. Construct validity was conducted using EFA and CFA. Eleven factors were identified, collectively accounting for 71.4% of the total variance. In the EFA step, 15 questions and two questions in EFA were excluded. Finally, 48 items remained in the framework including dimensions of technology, human, organization, ease of use, usefulness, and net benefits. The overall Cronbach’s alpha value was 93.4%. In addition, the hospital EHR success rate was determined and categorized. In addition, effective factors on EHR success were explored.

Results

In total, 86 nurses participated in the study. On average, the “total hospital EHR success rate” was moderate. The total EHR success rates was ranging from 47.09 to 74.96%. The results of the Kruskal–Wallis test showed that there was a significant relationship between “gender” and “self-efficacy” (p-value: 0.042). A reverse relation between “years of experience using computers” and “training” (p-value: 0.012) was observed. “Years of experience using EHR” as well as “education level” (p-value: 0.001) and “ease of use” had a reverse relationship (p-value: 0.034).

Conclusions

Our findings underscore the EHR success based on nurses’ viewpoint in a developing country. Our results provide an instrument for comparison of EHR success rates in various hospitals.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-01800-1.

Factors Affecting Acceptance of Hospital Information Systems in Public Hospitals of Zahedan University of Medical Sciences: A Cross-Sectional Study

A hospital information system is used to support a wide range of operations and activities in the hospital. This study was conducted to determine the factors affecting hospital information system acceptance by users. A cross-sectional, descriptive, analytic study was performed in 2018. The study population included 550 users of the system. The data were collected using a questionnaire and analyzed using the SPSS software. A significant moderate positive correlation was found between hospital information system acceptance and perceived usefulness (r = 0.54, P < 0.01), perceived ease of use (r = 0.41, P < 0.01), human factors (r = 0.46, P < 0.01) and technological factors (r = 0.54, P < 0.01). A significant weak positive correlation was detected between the acceptance of the hospital information system and organizational factors (r = 0.35, P < 0.01). Perceived usefulness of the system, social influence, system quality, perceived ease of use of the system, and top managers' supports had the most substantial influence on the users' intention to accept a hospital information system. User education, preparation of guidelines suited to the user specialty or department, incorporating users' work needs into the capabilities of the hospital information system, and improving the system to an ideal level are important considerations.

Influences of information management path coordination with dynamic monitoring on the quality of hospital drug management

Background

To explore the impact of information management path coordination with dynamic monitoring on the quality of hospital drug management.

Methods

Based on the management mode of the information management path coupled with dynamic monitoring for hospital drug management, the overall structure of drug management was designed according to the drug management needs, and the management process was dynamically monitored by computer. The incidence of drug management errors was analyzed before and after implementation, including errors in drug placement, unreasonable actions, and vague labeling of high-risk drugs. The near-term and overdue statuses of various drugs were analyzed before and after implementation. Based on the “Hospital Pharmaceutical Management Regulations”, a questionnaire about drug management quality was designed to address issues such as the pharmacy area, pharmacy management, drug management, pharmacy equipment management, and management efficiency; a drug management quality score was given before and after implementation.

Results

The incidence rates of drug placement errors, unreasonable actions, and vague labeling of high-risk drugs were 1.67%, 2.50%, and 1.67%, respectively, which were significantly lower than the pre-implementation rates of 8.33%, 10.00%, and 8.33% (P<0.05), respectively. The expiration rates of emergency medicines and general medicines after the implementation of information management path coordination with dynamic monitoring were 0.00% and 3.41%, respectively, which were significantly lower than the rates of 30.00% and 11.36% before implementation (P<0.05). The total score and the scores for the pharmacy area, pharmacy management, drug management, pharmacy equipment management, and management efficiency after the implementation of the information management path combined with dynamic monitoring were significantly higher than those before implementation (P<0.05).

Conclusions

Using information management path coordination with dynamic monitoring can reduce the incidence of errors in the drug management process, improve the drug utilization rate in the near-term, and improve the management quality.

How habit affects continuous use: evidence from Jordan's national health information system

Implementing a health information system (HIS) to enhance healthcare services and patients' experience has become a growing trend in developing countries. Yet little is known about acquainted users' attitudes on continuing the use of an HIS after adoption. Healthcare professionals (physicians and nurses in particular) are reluctant to use HISs because they perceive them as an interruption of their interaction with patients, thus negatively influencing their efficiency. In this study, we extend the technology acceptance model (TAM) by integrating habit as an exogenous variable that affects HISs' perceived ease of use (PEOU) and perceived usefulness (PU) to investigate experienced healthcare professionals' attitudes in continuing to use an HIS. The setting of this study is a developing country (Jordan) that implemented a nationwide HIS named Hakeem. The findings show that in the context of healthcare, attitude is the major determinant to continue using HISs. Findings also show that habit significantly increases healthcare professionals' perception of PU and PEOU, which improves their attitudes toward continuing to use HISs. These findings have implications for both research and practice.

Designing a model of hospital information system acceptance: Organizational culture approach

Background: The significance and influence of organizational culture on Information Technology acceptance, especially in healthcare field, has been recognized as a source of organizational inertia. This study aimed at developing a model of Hospital Information System (HIS) acceptance for non-teaching hospitals of Iran University of Medical Sciences to encourage the authorities to promote organizational culture and successful application of HIS.

Methods: The proposed model was developed according to Michigan Organizational Assessment Questionnaire (MOAQ), Harrison, Hofstede models, and Comparative Values Framework (CVF). The questionnaires were designed based on the model and distributed among 400 HIS users in the hospitals under study, who were selected using stratified random sampling. The structural equation modeling method was used for data analysis in LISREL software.

Results: According to the final model, the influences of developmental culture on perceived usefulness, the relationship of 4 types of organizational culture with mandatoriness according to CVF, and the relationships of hierarchical and developmental culture with system use were attested. The relationships between supervision and 4 variables of HIS acceptance were confirmed. Furthermore, the influence of process/ result oriented culture on user satisfaction was demonstrated. The normed chi square index (2.60) revealed that the final model was fitted to the data. The indices were as follow: GFI= 0.95, CFI= 0.97, AGFI= 0.88, RMSEA= 0.064.

Conclusion: The components and structural relationships in the model of this study are applicable in the related hospitals, and using this model can promote organizational culture and acceptance of HIS by the users.

Individual Differences in Responsiveness to Acupuncture: An Exploratory Survey of Practitioner Opinion

Background: Previous research has considered the impact of personal and situational factors on treatment responses. This article documents the first phase of a four-stage project on patient characteristics that may influence responsiveness to acupuncture treatment, reporting results from an exploratory practitioner survey. Methods: Acupuncture practitioners from various medical professions were recruited through professional organisations to complete an online survey about their demographics and attitudes as well as 60 questions on specific factors that might influence treatment. They gave categorical (“Yes”, “No”, and “Don’t know”) and free-text responses. Quantitative and qualitative (thematic) analyses were then conducted. Results: There were more affirmative than negative or uncertain responses overall. Certain characteristics, including ability to relax, exercise and diet, were most often considered relevant. Younger and male practitioners were more likely to respond negatively. Limited support was found for groupings between characteristics. Qualitative data provide explanatory depth. Response fatigue was evident over the course of the survey. Conclusions: Targeting and reminders may benefit uptake when conducting survey research. Practitioner characteristics influence their appreciation of patient characteristics. Factors consistently viewed as important included ability to relax, exercise and diet. Acupuncture practitioners may benefit from additional training in certain areas. Surveys may produce more informative results if reduced in length and complexity.