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The aim of this chapter is to understand the nature of business collaboration between healthcare service providers and tourism agencies in Malaysia. Interviews with 17 healthcare service providers in Malaysia reveal that most of the collaboration between healthcare service providers and tourism agencies in Malaysia is informal or loose, despite their intention to leverage on medical tourism for business expansion. Close and tight collaborations are rare. The findings point towards the main reasons behind the rare collaboration which are the high customer orientation of healthcare service providers, the strategic move of business and support for government agenda.

Sharing project information is critical for the success of medical crowdfunding campaigns. However, few users share medical crowdfunding projects on their social networks, and the sharing behavior of medical crowdfunding projects on social networking sites has not been well studied. Therefore, this study explored the factors and potential mechanisms influencing users’ sharing behaviors on networking sites.

A research model was developed based on the attribution-affect model of helping and social capital theory. Data were collected using a longitudinal survey. Partial least squares structural equation modeling was used to analyze the collected data. We conducted post hoc analyses to validate the results of the quantitative analysis.

The analysis results verified the effects of perceived external attribution, perceived uncontrollable attributions, and perceived unstable attributions on sympathy and identified the effect of sympathy and social characteristics of medical crowdfunding users on sharing behavior.

This research provides a comprehensive theoretical understanding of users’ sharing behavior characteristics and provides implications for enhancing the efficiency of medical crowdfunding activities.

The library is one of the critical foundations of informing and educating the public, and it should fulfil its function in the community, which is disseminating knowledge effectively. The library must have a dynamic space and an appropriate atmosphere to do this. Also, librarians should assist clients outside of stressful work environments. This study aimed to examine the association between organizational climate and job burnout in the hospital and college libraries of Shahid Beheshti University of Medical Sciences.

This study is a cross-sectional survey. The population includes all librarians working in the college and hospital libraries of Shahid Beheshti University of Medical Sciences. Two questionnaires, including organizational climate “ClimateQUAL” and job burnout “Maslach and Jackson”, were applied to collect data. It was hypothesized that there is a correlation between the organizational climate and the burnout of librarians.

The findings revealed that the organizational climate and job burnout are not in a favourable situation, with average scores of 4.70 and 2.50, respectively. Furthermore, there is a significant statistical relationship between organizational climate and job burnout (p-value<0.001).

Knowledge of the significant relationship between the organizational climate and job burnout in medical libraries may encourage policymakers to make more efforts to provide their staff with a better climate and less burnout. Regarding that it is crucial to enhance the existing condition in medical libraries, the findings of the present study suggest that policymakers should be conscious of improving the current condition, which could lead to promoting patrons’ satisfaction and productivity in the mentioned libraries.

Applying the value-attitude-behavior (VAB) model, this study investigated how perceived utilitarian and hedonic values (i.e. novelty and emotion) affect individuals' attitudes toward medical hotels and how these attitudes, in turn, influence their intentions to stay at medical hotels. The current study also explored the moderating impact of overall health status on the relationships between perceived utilitarian, novelty and emotional values and attitudes toward medical hotels.

The data collected from 351 individuals who spent a night in a hospital to undergo medical treatment was used in conducting structural equation modeling to evaluate the research model and test the study hypotheses.

The study results revealed that perceived utilitarian, novelty and emotional values exerted a positive influence on individuals’ attitudes toward medical hotels, consequently enhancing their intention to stay. Additionally, significant moderating impacts of overall health status on the associations between perceived utilitarian, novelty and emotional values and attitudes toward medical hotels were observed.

The study findings provide useful guidance for professionals, such as operators, marketers and managers in medical hotels. These insights can improve operational and marketing strategies, benefiting both the industry and healthcare accommodation seekers.

This study is among the first to empirically assess a theoretical model that explored the influence of individuals' value perceptions within the realm of medical hotel establishments.

This study aims to explore the consumer perceptions of cognition and intention to visit pilot zone of international medical tourism as emerging, developed medical tourism destinations.

Using a survey-based quantitative method, based on a survey of 439 tourists who have cross-border travel experience, the partial least squares approach was performed to test the hypotheses.

The results show that internal factors had a stronger influence on destination image compared to external factors. Among different factors, preferential policies had the greatest impact on intention to visit. Perceived quality had a stronger effect on intention to visit than preference. Geographical distance had a varied effect, with those furthest away in Northeast China showing greater intention to visit compared to closer regions.

This study explores the impact of multidimensional destination perception on medical tourists’ behavioural intention in emerging destinations by integrating the push-pull theory and theory of planned behaviour and tests how geographical distance affects intention to visit emerging destinations. Using China international medical tourism pilot area as a typical case of medical tourism emerging destinations for empirical analysis. This research offers guidance for branding and marketing strategies, contributes to a deeper understanding of medical tourists’ destination choices, enriches the theoretical explanation of emerging destination choice in medical tourism and provides valuable insights for destination recovery.

Artificial intelligence (AI) is a growing paradigm and has made considerable changes in many fields of study, including medical education. However, more investigations are needed to successfully adopt AI in medical education. The purpose of this study was identify the determinant factors in adopting AI-driven technology in medical education.

This was a descriptive-analytical study in which 163 faculty members from Tabriz University of Medical Sciences were randomly selected by nonprobability sampling technique method. The faculty members’ intention concerning the adoption of AI was assessed by the conceptual path model of task-technology fit (TTF).

According to the findings, “technology characteristics,” “task characteristics” and “TTF” showed direct and significant effects on AI adoption in medical education. Moreover, the results showed that the TTF was an appropriate model to explain faculty members’ intentions for adopting AI. The valid proposed model explained 37% of the variance in faulty members’ intentions to adopt AI.

By presenting a conceptual model, the authors were able to examine faculty members’ intentions and identify the key determining factors in adopting AI in education. The model can help the authorities and policymakers facilitate the adoption of AI in medical education. The findings contribute to the design and implementation of AI-driven technology in education.

The finding of this study should be considered when successful implementation of AI in education is in progress.

A new triage method, MBCE (Medical Bio Social Ethics), is presented with social justice, bio, and medical ethics for critical resource distribution during a pandemic. Ethical triage is a complex and challenging process that requires careful consideration of medical, social, cultural, and ethical factors to guide the decision-making process and ensure fair and transparent allocation of resources. When assigning priorities to patients, a clinician would evaluate each patient’s medical condition, age, comorbidities, and prognosis, as well as their cultural and social background and ethical factors.

A statistical analysis shows no interactions among the ethical triage factors. It implies the ethical components have no moderation effect; hence, each is independent. The result also points out that medical and bioethics may have an affinity for interactions. In such cases, there seem to be some ethical factors related to bio and medical ethics that are correlated. Therefore, the triage team should be careful in evaluating patient cases. The algorithm is explained with case histories of the selected patient. A group of triage nurses and general medical practitioners assists with the triage.

The MBCE triage algorithm aims to allocate scarce resources fairly and equitably. Another ethical principle in this triage algorithm is the principle of utility. In a pandemic, the principle of utility may require prioritizing patients with a higher likelihood of survival or requiring less medical care. The research presents a sensitivity analysis of a patient’s triage score to show the algorithm’s robustness. A weighted score of ethical factors combined with an assessment of triage factors combines multiple objectives to assign a fair triage score. These distinctive features of the algorithm are reasonably easy to implement and a new direction for the unbiased triage principle.

The idea is to make decisions about distributing and using scarce medical resources. Triage algorithms raise ethical issues, such as discrimination and justice, guiding medical ethics in treating patients with terminal diseases or comorbidity. One of the main ethical principles in triage algorithms is the principle of distributive justice.

Ireland’s physicians have a legal and an ethical duty to protect confidential patient information. Most healthcare records in Ireland remain paper based, so the purpose of this paper is to: assess the protection afforded to paper records; log highest risk records; note the variations that occurred during the working week; and observe the varying protection that occurred when staff, students and public members were present.

A customised audit tool was created using Sphinx software. Data were collected for three months. All wards included in the study were visited once during four discrete time periods across the working week. The medical records trolley’s location was noted and total unattended medical records, total unattended nursing records, total unattended patient lists and when nursing personnel, medical students, public and a ward secretary were visibly present were recorded.

During 84 occasions when the authors visited wards, unattended medical records were identified on 33 per cent of occasions, 49 per cent were found during weekend visiting hours and just 4 per cent were found during morning rounds. The unattended medical records belonged to patients admitted to a medical specialty in 73 per cent of cases and a surgical specialty in 27 per cent. Medical records were found unattended in the nurses’ station with much greater frequency when the ward secretary was off duty. Unattended nursing records were identified on 67 per cent of occasions the authors visited the ward and were most commonly found unattended in groups of six or more.

This study is a timely reminder that confidential patient information is at risk from inappropriate disclosure in the hospital. There are few context-specific standards for data protection to guide healthcare professionals, particularly paper records. Nursing records are left unattended with twice the frequency of medical records and are found unattended in greater numbers than medical records. Protection is strongest when ward secretaries are on duty. Over-reliance on vigilant ward secretaries could represent a threat to confidential patient information.

While other studies identified data protection as an issue, this study assesses how data security varies inside and outside conventional working hours. It provides a rationale and an impetus for specific changes across the whole working week. By identifying the on-duty ward secretary’s favourable effect on medical record security, it highlights the need for alternative arrangements when the ward secretary is off duty. Data were collected prospectively in real time, giving a more accurate healthcare record security snapshot in each data collection point.

The purpose of this paper was to examine the relationship between medical malpractice claims and medical care quality in Taiwan. The Delphi technique with an expert panel was used to determine the relationship between malpractice and medical quality. A total of 371 medical malpractice claims were analyzed. Main measures included the rate and strength of malpractice cases associated with quality and the identification of the quality factors influencing the occurrence of malpractice. Results showed that malpractice claims were associated with internal medicine cases, surgery cases, pediatric cases, obstetric and gynecological cases, physicians' professional competence, non‐acceptable outcomes, complications, and poor communication. Concludes that medical malpractice cases could be avoided by increasing physicians' professional knowledge, practical skills, and communication.

Because medical waste may present potential hazards to employees, waste handlers and the general public, all facilities generating this form of waste should develop and implement a medical waste management strategy. This strategy should be prepared after conducting a survey to determine the types and estimated amounts of medical waste generated by the facility. The strategy should address medical waste handling, including segregation, packaging, in‐house transport and storage. The management plan must also prescribe appropriate treatment procedures for contaminated waste, and designate proper methods for final disposal of medical wastes and treatment residues. Finally, the facility must ensure the implementation and monitoring of this strategy.