A big data augmented analytics platform to operationalize efficiencies at community clinics

Indiana University-Purdue University Indianapolis (IUPUI)Community Health Centers (CHCs) play a pivotal role in delivery of primary healthcare to the underserved, yet have not benefited from a modern data analytics platform that can support clinical, operational and financial decision making across the continuum of care. This research is based on a systems redesign collaborative of seven CHC organizations spread across Indiana to improve efficiency and access to care. Three research questions (RQs) formed the basis of this research, each of which seeks to address known knowledge gaps in the literature and identify areas for future research in health informatics. The first RQ seeks to understand the information needs to support operations at CHCs and implement an information architecture to support those needs. The second RQ leverages the implemented data infrastructure to evaluate how advanced analytics can guide open access scheduling – a specific use case of this research. Finally, the third RQ seeks to understand how the data can be visualized to support decision making among varying roles in CHCs. Based on the unique work and information flow needs uncovered at these CHCs, an end to-end analytics solution was designed, developed and validated within the framework of a rapid learning health system. The solution comprised of a novel heterogeneous longitudinal clinic data warehouse augmented with big data technologies and dashboard visualizations to inform CHCs regarding operational priorities and to support engagement in the systems redesign initiative. Application of predictive analytics on the health center data guided the implementation of open access scheduling and up to a 15% reduction in the missed appointment rates. Performance measures of importance to specific job profiles within the CHCs were uncovered. This was followed by a user-centered design of an online interactive dashboard to support rapid assessments of care delivery. The impact of the dashboard was assessed over time and formally validated through a usability study involving cognitive task analysis and a system usability scale questionnaire. Wider scale implementation of the data aggregation and analytics platform through regional health information networks could better support a range of health system redesign initiatives in order to address the national ‘triple aim’ of healthcare

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

What makes an exceptional cuisine that worth a special journey?

The food tourism supply chain includes as consumption activities "Fine dining" and as classification schemes the "Michelin star system". Despite the growing interest in luxury dining, there are only a few studies published about the high-end of the restaurant industry. The main objective of study two was to identify the main dimensions of the Michelin Stared Restaurant experiences as revealed by customers’ narratives shared in social media websites in the post-purchase phase of their experience. Moreover, this dissertation aims at studying whether the dimensions of the experience vary according to market segments (client type, gender and age) an according to value ratings. Mixed content analysis methods, combining Leximancer with narrative analysis, were used to identify the main themes in restaurant reviews. Moreover, the main themes were graphically displayed in a concept map. The results were based into two samples, from Portuguese two-star restaurants, and from three star restaurants worldwide. The analysis revealed that 12 main themes describe the fine dining experience, as follows: "restaurant", "food service", "menu", "chef", "wine", "meal", "dining", "staff", "feel", "worth", "dessert" and "delicious". The result also revealed that fine dining customers are not a homogeneous group and that demographics proved to be effective market segmentation variables. Moreover, high and low levels of value ratings are linked with different themes of the experience. From a theoretical point of view this dissertation is expected to add to the literature of food tourism by providing a better understanding of the dimensions of the dining and provides evidence of the relevance of market segmentation variables. Managerial implications were also drawn.A cadeia de valor do turismo gastronómico inclui atividades de consumo, como as refeições de luxo, e o sistema de classificação como o Sistema de Estrelas Michelin. Apesar do crescente interesse no segmento de restauração de luxo, poucos estudos foram publicados sobre este segmento na indústria de restauração. O principal objetivo deste estudo é identificar as principais dimensões associadas à experiência num restaurante com Estrelas Michelin, com base das narrativas partilhadas em plataformas de redes sociais na fase pós-consumo do processo de compra. Adicionalmente, esta dissertação tem como objetivo estudar se as dimensões da experiência variam de acordo com o segmento de mercado (tipo de cliente, sexo e idade) e de acordo com as avaliações do valor da experiência. Para identificar os principais temas nos comentários "online" são usados métodos de análise de conteúdo misto, que combinam o "Leximancer" com uma análise narrativa. Adicionalmente, os principais temas são apresentados graficamente num mapa conceptual. Os resultados derivam de duas amostras, de restaurantes Michelin com duas estrelas localizados em Portugal e de restaurantes Michelin com três estrelas localizados em diversos países. A análise revelou a existência de 12 temas que descrevem a experiência de refeição de luxo, nomeadamente: restaurante, serviço de refeição, menu, "chef", vinho, refeição, jantar, "staff", sentir, valer a pena, sobremesa e delicioso. Os resultados também revelaram que os consumidores de restaurantes de luxo não são um grupo homogéneo e que as variáveis demográficas são variáveis efetivas de segmentação de mercado. Para além disso, "ratings" elevados e baixos estão associados a diferentes temas da experiência. Numa perspetiva teórica, espera-se que esta dissertação forneça uma melhor compreensão das dimensões da experiência das refeições de luxo e forneça evidencia da relevância de variáveis de segmentação. São também apresentadas implicações para a gestão

4th. International Conference on Advanced Research Methods and Analytics (CARMA 2022)

Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 4th International Conference on Advanced Research Methods and Analytics (CARMA) is a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges. Due to the covid pandemic, CARMA 2022 is planned as a virtual and face-to-face conference, simultaneouslyDoménech I De Soria, J.; Vicente Cuervo, MR. (2022). 4th. International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2022.2022.1595

Tourist Perceived Destination Innovativeness (TPDI) and its Impacts on Tourist Experience and Tourist Satisfaction -The Case Study of Hunan (China)

The primary purpose of this study is to develop a comprehensive understanding of tourist perceived destination innovativeness (TPDI) and to assess its impacts on tourist experience and satisfaction, and the thesis accordingly develops a multidimensional scale for measuring the concept of destination innovativeness. TPDI in this study refers to the willingness and capability of a destination to provide and deliver unique, interesting service and product. The development and validation of the multidimensional scale for the concept followed a rigorous procedure with three different stages of study, the data for which was collected from tourists in Hunan. The first stage analysed qualitative data from 30 interviews using a thematic analysis technique. In the second stage, the exploratory factor analysis (n=522) was used to purify and refine the scale generated in the first stage. The last stage of the study used confirmatory factor analysis (n=748) to validate the 20 item-scale for destination innovativeness. The study developed a model with one higher order factor (TPDI), and five corresponding lower order factors (destination co-creation innovativeness, destination development innovativeness, destination experiential innovativeness, destination inclusiveness innovativeness and destination marketing innovativeness). Moreover, the impacts on tourist experience and satisfaction were assessed using the data from the third stage, which were confirmed by SmartPLS. The thesis highlights the positive relationship of TPDI on tourist experience and tourist satisfaction. Moreover, the study reveals that the tourist experience acts as a mediation role between TPDI and tourist satisfaction. The results indicate that an innovative destination needs to consider tourist perception as a whole, and not only new products and unique promotions, and take into account inclusiveness of service for tourist as well. The current study illuminates the procedure for developing a complete scale for future tourism research. Hopefully, the TPDI scale can become a benchmark for practitioners’ evaluation of the effectiveness of strategies for innovativeness. The developed scales and relationships of this study may contain limitations, and the construction of other scales and different variables for TPDI may well be of interest

Usability analysis of contending electronic health record systems

In this paper, we report measured usability of two leading EHR systems during procurement. A total of 18 users participated in paired-usability testing of three scenarios: ordering and managing medications by an outpatient physician, medicine administration by an inpatient nurse and scheduling of appointments by nursing staff. Data for audio, screen capture, satisfaction rating, task success and errors made was collected during testing. We found a clear difference between the systems for percentage of successfully completed tasks, two different satisfaction measures and perceived learnability when looking at the results over all scenarios. We conclude that usability should be evaluated during procurement and the difference in usability between systems could be revealed even with fewer measures than were used in our study. © 2019 American Psychological Association Inc. All rights reserved.Peer reviewe

Cultural Heritage Storytelling, Engagement and Management in the Era of Big Data and the Semantic Web

The current Special Issue launched with the aim of further enlightening important CH areas, inviting researchers to submit original/featured multidisciplinary research works related to heritage crowdsourcing, documentation, management, authoring, storytelling, and dissemination. Audience engagement is considered very important at both sites of the CH production–consumption chain (i.e., push and pull ends). At the same time, sustainability factors are placed at the center of the envisioned analysis. A total of eleven (11) contributions were finally published within this Special Issue, enlightening various aspects of contemporary heritage strategies placed in today’s ubiquitous society. The finally published papers are related but not limited to the following multidisciplinary topics:Digital storytelling for cultural heritage;Audience engagement in cultural heritage;Sustainability impact indicators of cultural heritage;Cultural heritage digitization, organization, and management;Collaborative cultural heritage archiving, dissemination, and management;Cultural heritage communication and education for sustainable development;Semantic services of cultural heritage;Big data of cultural heritage;Smart systems for Historical cities – smart cities;Smart systems for cultural heritage sustainability

The appraisal of Facebook online community: An exposition of mobile commerce in social media reviews

Peer reviewe