Content Analysis of Hospital Reviews From Differing Sources: Does Review Source Matter?

Social media has had an impact on how patients find and evaluate medical professionals and their experiences of modern healthcare. Qualitative research in healthcare has increased its focus on social media. The present study examined 497 reviews of hospitals in the Pittsburgh area across three websites: Google, Yelp, and Healthgrades. Using computerized content analysis tools (CATA), we analyzed positive and negative comments to identify key themes. Key themes and words included “doctor,” “hospital,” “staff,” and “time.” These findings highlight the importance of medical staff to patient experience. Results indicated that Yelp had the lowest average rating. CATA also revealed that the central term for Google reviews was “hospital,” for Healthgrades reviews it was “doctor,” and the central term for Yelp reviews was “patient.” These central terms reflect the focus of each website. The present study highlights the importance of healthcare professionals understanding the source of reviews and being cautious about how social media comments are used in decision-making about the practice. Future research should try to expand this approach to other cities and countries to evaluate cross-cultural effects on social media comments

A Study on Sentiment Analysis on Airline Quality Services: A Conceptual Paper

Airline quality service is crucial for airlines to remain competitive in the industry. The quality of the services of these airlines must meet customer satisfaction and other aspects of the overall service experience. The levels of service quality in an airline service may impact satisfaction and loyalty which may influence customer sentiment. Concerning the importance of airline quality service, customer sentiment towards the service must be investigated and one of the ways to analyze it is by using sentiment analysis. Sentiment analysis is the chosen tool nowadays to analyze comments or reviews made on these services, which may be positive, negative, or neutral. Using sentiment analysis, will not only help potential customers to view the overall sentiment portrayed, but organizations can also use the findings to improve their organization to be more competitive. Thus, this paper will focus on reviewing several recent works related to sentiment analysis as a tool for assisting organizations in assessing the quality of services in the airline industry. As a result, a new framework for assessing the quality of service for the organizations, especially the airline company will be proposed

Social media marketing and advertising

Social media has recently gained tremendous fame as a highly impactful channel of communication in these modern times of digitised living. It has been put on a pedestal across varied streams for facilitating participatory interaction amongst businesses, groups, societies, organisations, consumers, communities, forums, and the like. This subject has received increased attention in the literature with many of its practical applications including social media marketing (SMM) being elaborated, analysed, and recorded by many studies. This study is aimed at collating the existing research on SMM to present a review of seventy-one articles that will bring together the many facets of this rapidly blooming media marketing form. The surfacing limitations in the literature on social media have also been identified and potential research directions have been offered

An Exploratory Study of Patient Falls

Debate continues between the contribution of education level and clinical expertise in the nursing practice environment. Research suggests a link between Baccalaureate of Science in Nursing (BSN) nurses and positive patient outcomes such as lower mortality, decreased falls, and fewer medication errors. Purpose: To examine if there a negative correlation between patient falls and the level of nurse education at an urban hospital located in Midwest Illinois during the years 2010-2014? Methods: A retrospective crosssectional cohort analysis was conducted using data from the National Database of Nursing Quality Indicators (NDNQI) from the years 2010-2014. Sample: Inpatients aged ≥ 18 years who experienced a unintentional sudden descent, with or without injury that resulted in the patient striking the floor or object and occurred on inpatient nursing units. Results: The regression model was constructed with annual patient falls as the dependent variable and formal education and a log transformed variable for percentage of certified nurses as the independent variables. The model overall is a good fit, F (2,22) = 9.014, p = .001, adj. R2 = .40. Conclusion: Annual patient falls will decrease by increasing the number of nurses with baccalaureate degrees and/or certifications from a professional nursing board-governing body

Artificial intelligence in the tourism industry: an overview of reviews

This study aims to comprehensively synthesize existing literature on AI in tourism, highlighting key themes, strengths, and limitations, and illuminating pathways for future research, including the identification of emerging areas within this context. AI technology is rapidly transforming various sectors, including tourism, by augmenting customer service, improving operational efficiency, personalizing travel experiences, and supporting sustainability initiatives. Despite the growing body of research on this topic, there is a need for a comprehensive and systematic summary of the existing literature to illuminate the most effective uses of AI in this context and to identify gaps for future research. We employed the ‘overview of reviews’ methodology, which involved systematically locating, appraising, and synthesizing the results of previous review articles. Using Web of Science, we identified and analyzed 31 previous review articles on the application of AI in tourism. Their synthesis presents a comprehensive perspective on the present status of AI technology in the tourism sector. It provides valuable insights, not only for practitioners contemplating the implementation of AI solutions but also for academics aspiring to advance this study area. Moreover, the academic implications of this study reaffirm its objective to shape future inquiries into AI applications within tourism, advocate for the efficacious and sustainable employment of AI, and provoke scholarly exploration at the nexus of technology and sustainability in this sector

Development of an Automated Physician Review Classification System: A hybrid Machine Learning Approach

Patients are increasingly turning to physician rating websites to help them make important healthcare decisions, such as selecting primary care doctors, specialists, and supplementary medical care providers. Previous research has identified a variety of topics and themes that emerge on these review platforms. However, there is little or no work that has been done to create an automated classifier that automatically categorizes these reviews into distinct topics after they have been explored in this context. Building such an automated classifier could assist IS developers and other stakeholders in automatically classifying patient reviews and understanding patient needs. Furthermore, using design science research we strategize how such machine learning systems can be built using design guidelines in turn having the potential to be generalized to other specific contextual problem spaces. Our work focuses on laying the foundation to design guidelines that need to be followed while building automated systems in specific contexts

Mining User-generated Content of Mobile Patient Portal: Dimensions of User Experience

Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. The incorporation of patient portals provides the promise to deliver excellent quality, at optimized costs, while improving the health of the population. This study extends the existing literature by extracting dimensions related to the Mobile Patient Portal Use. We use a topic modeling approach to systematically analyze users’ feedback from the actual use of a common mobile patient portal, Epic\u27s MyChart. Comparing results of Latent Dirichlet Allocation analysis with those of human analysis validated the extracted topics. Practically, the results provide insights into adopting mobile patient portals, revealing opportunities for improvement and to enhance the design of current basic portals. Theoretically, the findings inform the social-technical systems and Task-Technology Fit theories in the healthcare field and emphasize important healthcare structural and social aspects. Further, findings inform the humanization of healthcare framework, support the results of existing studies, and introduce new important design dimensions (i.e., aspects) that influence patient satisfaction and adherence to patient portal

Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis

This work has been partially funded by projects PID2020-113462RB-I00 (ANIMALICOS), granted by Ministerio Espanol de Economia y Competitividad; projects P18-RT-4830 and A-TIC-608-UGR20 granted by Junta de Andalucia, and project B-TIC-402-UGR18 (FEDER and Junta de Andalucia).During the recent COVID-19 pandemic, people were forced to stay at home to protect their own and others’ lives. As a result, remote technology is being considered more in all aspects of life. One important example of this is online reviews, where the number of reviews increased promptly in the last two years according to Statista and Rize reports. People started to depend more on these reviews as a result of the mandatory physical distance employed in all countries. With no one speaking to about products and services feedback. Reading and posting online reviews becomes an important part of discussion and decision-making, especially for individuals and organizations. However, the growth of online reviews usage also provoked an increase in spam reviews. Spam reviews can be identified as fraud, malicious and fake reviews written for the purpose of profit or publicity. A number of spam detection methods have been proposed to solve this problem. As part of this study, we outline the concepts and detection methods of spam reviews, along with their implications in the environment of online reviews. The study addresses all the spam reviews detection studies for the years 2020 and 2021. In other words, we analyze and examine all works presented during the COVID-19 situation. Then, highlight the differences between the works before and after the pandemic in terms of reviews behavior and research findings. Furthermore, nine different detection approaches have been classified in order to investigate their specific advantages, limitations, and ways to improve their performance. Additionally, a literature analysis, discussion, and future directions were also presented.Spanish Government PID2020-113462RB-I00Junta de Andalucia P18-RT-4830 A-TIC-608-UGR20 B-TIC-402-UGR18European Commission B-TIC-402-UGR1

Mining User-generated Content of Mobile Patient Portal: Dimensions of User Experience

Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. The incorporation of patient portals provides the promise to deliver excellent quality, at optimized costs, while improving the health of the population. This study extends the existing literature by extracting dimensions related to the Mobile Patient Portal Use. We use a topic modeling approach to systematically analyze users’ feedback from the actual use of a common mobile patient portal, Epic’s MyChart. Comparing results of Latent Dirichlet Allocation analysis with those of human analysis validated the extracted topics. Practically, the results provide insights into adopting mobile patient portals, revealing opportunities for improvement and to enhance the design of current basic portals. Theoretically, the findings inform the social-technical systems and Task-Technology Fit theories in the healthcare field and emphasize important healthcare structural and social aspects. Further, findings inform the humanization of healthcare framework, support the results of existing studies, and introduce new important design dimensions (i.e., aspects) that influence patient satisfaction and adherence to patient portal

A scoping review: exploring the world of medical and wellness tourism

Purpose: Medical and wellness tourism is a growing phenomenon, and tourists all over the world are traveling with the express purpose of accessing medical treatment or promoting health through physically and psychologically beneficial activities. This industry has continued to expand with the Internet’s help, as customers can now make choices that are more appropriate and informed decisions. Design: This research employed mixed content analysis methods. The qualitative approach reproduced tourists’ appraisals and assessed the spatial relationships between terms and concepts in medical and wellness tourism, with generalizable and reproducible results. Theoretical Contribution: This study specifically adds to the literature on post-experiences of medical and wellness tourism and the impact of Web-based information through reviewers’ satisfaction and willingness to recommend facilities to others. Practical Contributions: Medical tourists’ reviews indicate shared commonalities when identifying significant factors in medical services received. These individuals also focus on cost, treatment effectiveness; time spent collecting healthcare information, and recommendations they plan to offer to friends and family. Wellness tourists perceive resort facilities—including room conditions—and thalassotherapy treatments as the primary drivers of good service. Critical attributes of room condition are overall cleanliness and room comfort, especially bed, bathroom, and shower facilities. Tourists’ reviews of their experiences of thermal spa facilities provide a strategic order in which to implement service attributes by degree of influence: thermal facilities and services, hotel reception and room, food quality and price, pool and bath access, location views and accessibility, and staff’s professionalism and friendliness. Originality: The results add to the slowly growing body of literature on medical and wellness tourism and provide significant information to prospective medical tourists, healthcare service professionals, hoteliers, and other operators who become part of tourists’ total experience. This thesis identifies new themes based on semantic analyses that explored tourists’ behavior, intentions, and overall experiences shared online.Objetivo: O Turismo Médico e de Bem-Estar é um fenómeno crescente. Turistas de todo o mundo viajam com o intuito de ter acesso a tratamento médico ou de melhorar o seu estado de saúde através de atividades físicas e psicológicas que lhes sejam benéficas. Esta indústria tem vindo a crescer com ajuda da Internet, permitindo aos turistas fazer melhores escolhas e tomar decisões informadas. Desenho da tese: Este estudo tem como base a análise de conteúdos mistos. A abordagem qualitativa reproduz as avaliações dos turistas e avalia as relações entre as narrativas e os conceitos no Turismo Médico e de Bem-Estar, obtendo resultados replicáveis e generalizáveis. Contribuição teórica: Este estudo contribui com o conhecimento teórico no setor do turismo de Saúde e Bem-estar e o impacto das opiniões dos turistas nas plataformas online como veículo para expressar satisfação e recomendar serviços a outros turistas. Contribuição prática: No Turismo Médico os comentários online indicam características comuns inerentes ao tratamento médico. Como fatores determinantes no processo de decisão os turistas realçam o preço, a eficácia do tratamento, o tempo despendido na recolha de informações medicas, e partilham recomendações com amigos e familiares. No turismo de Bem-Estar os turistas percecionam as infraestruturas do resort-incluindo as condições do quarto e os tratamentos de talassoterapia como fatores determinantes de um bom serviço. Indicam como fatores críticos -o quarto- a limpeza e o conforto em particular uma cama confortável, a casa de banho e o chuveiro. Os turistas que utilizam as Termas e Spa indicam por ordem decrescente a implementação dos seguintes serviços: acesso as termas e serviços, a receção do hotel e sala, qualidade da comida e preço, piscina e banho térmico, localização, vista e acessos bem como o profissionalismo e simpatia dos colaboradores. Originalidade: Os resultados contribuem para o desenvolvimento da literatura sobre o Turismo Medico e de Bem-Estar e sugere diretrizes para potenciais turistas médicos, profissionais de saúde, setor hoteleiro e outros operadores que integram a experiência destes turistas. Com base na análise semântica esta tese identifica novas temáticas que exploram comportamentos, intenções e experiências que os turistas compartilham online