Implementation of Digital Health Technology at Academic Medical Centers in Saudi Arabia

Understanding Factors Influencing Diabetic Patients' Intention to Use Digital Health Services in Saudi Arabia Using the Technology Acceptance Model

This study employs the Technology Acceptance Model to investigate the factors influencing Saudi Arabian diabetic patients' intention to use digital health services. There is an urgent need to investigate the possibilities of digital health services in managing diabetes given the startlingly rapidly increasing prevalence rate of diabetes in KSA. The study examines the variables affecting patients' acceptance and desire to use digital health tools to manage their diabetes. The study employs the Technology Acceptance Model to ascertain the crucial factors that impact patients' opinions regarding the usefulness and ease of use of digital healthcare technologies. The proposed model extends the traditional Technology Acceptance Model by adding two new constructs, perceived privacy and trust. These constructs were examined by analyzing the intentions of 600 respondents through online surveys. The study's conclusions showed that attitudes toward using digital health services for KSA diabetic patients are greatly influenced by every component of the extended Technology Acceptance Model. The study's conclusions add to the body of knowledge already in existence and offer insightful information to decision-makers hoping to improve digital health services.

Usefulness of Mobile Devices in Learning Process for Residents of Pediatric Surgical Specialties

INTRODUCTION

In the hospital setting, the use of mobile devices among surgical residents is increasing. To assess the usefulness of mobile devices for residents of pediatric surgical specialties.

MATERIALS AND METHODS

The study used a mixed-method design. First, a self-developed online questionnaire with 23 items was used to obtain quantitative data, which was analyzed via simple discriminant analysis. Qualitative data were obtained using the focus group technique with the subsequent triangulation of quantitative and qualitative data.

RESULTS

The residents used mobile devices for learning and communication. Using quantitative data, the study found that the major functions of mobile devices were communicating with other residents and taking clinical photos, and that for learning, were speaking with attendings, residents, collecting patient information, and searching for unfamiliar terms. Triangulation analysis confirmed that mobile devices aid in agile communication, the search for data on drugs or diseases, and consultation of medical applications. Qualitative data informed the limitations of devices and the inconsistencies between official regulations and their advantages in clinical practice.

CONCLUSIONS

We demonstrate the usefulness of mobile devices among surgical residents in clinical care and recommend that hospitals should regulate policies to maximize the use of mobile devices.

Development of the Joint Commission of Taiwan's Smart Healthcare Standard

It is well known that information technology (IT) can play a pivotal role in enhancing healthcare quality and patient safety. The use of computational science to enhance the capabilities of hospital information systems helps deliver enhanced healthcare quality. "Smart healthcare" has become a popular term, reflecting the level of IT involvement in healthcare services. However, each hospital has a different level of IT development, and no clear definition of smart healthcare exists. In this study, we aimed to develop and validate a survey standard to evaluate the level of IT involvement in hospitals. The quality improvement task force of the Joint Commission of Taiwan (QITF-JCT) conducted a systematic literature review to identify the key elements of major healthcare IT functions. The modified Delphi technique was used to review the importance and appropriateness of these elements through an expert panel, and the JCT Smart Healthcare Standard version 1.0 (JCT-SHS 1.0) was drafted. A total of 40 healthcare quality improvement campaign (HQIC) application projects in 2018 were selected for evaluating nine key dimensions of hospital functions: security, digitization, automation, interconnection, connectivity, interoperability, mobility, computation, and artificial intelligence. The standard can be used smart hospital evaluation and executed by two experts by on-site evaluation and rating as three-level scale (norm, excellent, and innovative). The internal consistency and inter-rater reliability were investigated using Cronbach's α and kappa statistics, respectively. This standard was evaluated by using 40 HQIC application projects. The Cronbach's α values were in the range of 0.74-0.92, indicating the good internal consistency of the JCT-SHS 1.0 among the nine IT dimensions. The kappa correlation coefficients were 0.68 for security (p = 0.027), 0.47 for digitization (p = 0.042), 0.21 for automation (p = 0.048), 0.82 for interconnection (p = 0.014), 0.35 for connectivity (p = 0.036), 0.28 for interoperability (p = 0.042), 0.71 for mobility (p = 0.016), 0.47 for computation (p = 0.029), and 0.34 for artificial intelligence (p = 0.033), revealing moderate inter-rater reliability. The validation data indicated that the JCT-SHS 1.0 is a consistent and reliable instrument for evaluating the levels of IT development in the hospitals. Healthcare providers, external accreditation bodies, and policymakers may use the JCT-SHS 1.0 to assess and plan their organizational and system-wise IT strategy.

Establishing a digital health platform in an academic medical center supporting rural communities

The University of Arkansas for Medical Sciences (UAMS), like many rural states, faces clinical and research obstacles to which digital innovation is seen as a promising solution. To implement digital technology, a mobile health interest group was established to lay the foundation for an enterprise-wide digital health innovation platform. To create a foundation, an interprofessional team was established, and a series of formal networking events was conducted. Three online digital health training models were developed, and a full-day regional conference was held featuring nationally recognized speakers and panel discussions with clinicians, researchers, and patient advocates involved in digital health programs at UAMS. Finally, an institution-wide survey exploring the interest in and knowledge of digital health technologies was distributed. The networking events averaged 35-45 attendees. About 100 individuals attended the regional conference with positive feedback from participants. To evaluate mHealth knowledge at the institution, a survey was completed by 257 UAMS clinicians, researchers, and staff. It revealed that there are opportunities to increase training, communication, and collaboration for digital health implementation. The inclusion of the mobile health working group in the newly formed Institute for Digital Health and Innovation provides a nexus for healthcare providers and researches to facilitate translational research.

Relationship Between Fear of Missing Out and Academic Performance Among Omani University Students: A Descriptive Correlation Study

Objectives

Smartphones and their applications play a key role in social connections, emotion expression, information transmission, and human achievements. However, the unfavorable side of such devices can lead users to develop a fear of missing out (FOMO) on what is happening around them, which may provoke adverse health, social, and academic conditions. We sought to investigate the extent of FOMO among undergraduate students in Oman and its relation to their academic performance.

Methods

We conducted a descriptive, correlational study of a sample of 147 undergraduate students at Sultan Qaboos University, Oman. The questionnaire consisted of the FOMO scale, the participants’ sociodemographic background (such as age, gender, and marital status), and their academic background (grade point average (GPA), academic year, and history of probation).

Results

A total of 147 undergraduate students participated in this study; the majority were male (59.2%) and single (95.2%), lived off-campus (55.8%), were in their third or fourth academic year (57.1%), and had a mean GPA of 75.3%. Almost three-quarters reported that they used at least one smartphone, and their main reason for using these devices was for social interaction. Students experienced a moderate level of FOMO; the mean score of their FOMO experiences was 28.9.

Conclusions

Prolonged and constant use of smartphones may influence students to rely on them holistically, causing them to think about, follow, and react excessively to the behavior of others.