Consumer experience and satisfaction of private health management service enterprises in China

The private health management service industry in China still has a long way to enjoy the same maturity and success as the Chinese public healthcare enterprises. Carrying out research about private health management service company in China has both theoretical and practical values. Through the methods of literature research, this thesis studies on the development, characteristics and situation of private health management service industry in China, as well as relevant literature review on health management. In China, most medical institutions provide related health management services, among which the physical examination is the most important item. Both strengths and weaknesses of public and private health management service enterprises are summarized through SWOT analysis. The research method of content analysis is brought into the study of consumer experience and satisfaction about physical examination services in China. Taking Meinian Onehealth Healthcare Holdings Co., Ltd. as an example, the main factors define customer experience and determine their satisfaction and dissatisfaction is researched through content analysis of online reviews from websites by ROST-CM software, and both the positive and negative reviews are analyzed respectively from the aspects of word frequency and semantic network. The main factors influencing customer satisfaction are divided into six themes: service, technology, environment, price, procedure and consultation. In service, the service attitude of doctors and staff is the most important factor for customers. In the theme of technology, the advanced level of examination equipment and the professional level of medical staff, as perceived performance, are more important factors affecting the consumer satisfaction. In the theme of procedure, optimizing physical examination procedure and shortening waiting time are important factors to improve customer satisfaction. In the theme of consultation, strengthening health education and keeping track of customers' health situation are also important factors to improve satisfaction.Based on the results of analysis, five effective marketing strategies in the health management industry is put forward, mainly including service quality strategy, brand strategy, competing strategy, customer relationship strategy and price strategy.A fim de alcançar a maturidade e sucesso da saúde pública, ainda há um longo caminho a percorrer pela indústria de serviços de gestão de saúde privados na China. Por isso, existe valor teórico e prático para a realização de investigação em empresas privadas de serviços de gestão de saúde na China. Este trabalho introduz sistematicamente o desenvolvimento, as características e o estado actual da indústria de serviços de gestão de saúde da China por meio de pesquisas bibliográficas e darevisão de literatura sobre gestão de saúde. O trabalho compara as forças e fraquezas das organizações de serviços de gestão de saúde privadas e públicas. Neste trabalho, o método de pesquisa de análise de conteúdo é introduzido no estudo da experiência e satisfação do consumidor com os serviços privados de gestão de saúde na China. Como caso de estudo foi usado o Meinian Onehealth Healthcare Holdings Co., Ltd. Com recurso ao software ROST-CM, foi efetuada a análise de conteúdo dos comentários online, e identificados os principais factores que influenciaram a experiência do cliente. A análise de elogios e críticas negativas foi realizada em termos de frequência de palavras e rede semântica. Os principais factores que afectam a satisfação de cliente são divididos em seis temas: serviço, tecnologia, ambiente, preço, processo e literacia. Ao servir clientes, a atitude de médicos e funcionários é particularmente importante para a satisfação de clientes. Em termos de tecnologia, o equipamento de exame médico avançado e o nível profissional de equipa médica são benefícios perceptíveis do exame médico e factores importantes de satisfação de consumidor. O ambiente do centro de exames médicos não causa tanto impacto como o serviço e a tecnologia. Em termos de preço, consumidores costumam usar "acessível" ou "caro" para expressar sua avaliação subjectiva do número de itens e o valor de serviços recebidos em um exame médico. Em termos de processo, optimizar o processo de exame médico e reduzir o tempo das filas de espera são factores importantes para a satisfação deexame médico. Em termos de literacia, fortalecer a educação em saúde e acompanhar a saúde de clientes também são factores importantes para a satisfação com o exame médico. Tendo por base os resultados obtidos, são propostas cinco estratégias de marketing eficazes adaptadas às empresas de serviços de gestão de saúde, designadamente estratégias de promoção de serviços, estratégias de promoção de marca, estratégias de concorrência, estratégias de relacionamento com clientes e estratégias de preço

On A Simpler and Faster Derivation of Single Use Reliability Mean and Variance for Model-Based Statistical Testing

Markov chain usage-based statistical testing has proved sound and effective in providing audit trails of evidence in certifying software-intensive systems. The system end-toend reliability is derived analytically in closed form, following an arc-based Bayesian model. System reliability is represented by an important statistic called single use reliability, and defined as the probability of a randomly selected use being successful. This paper continues our earlier work on a simpler and faster derivation of the single use reliability mean, and proposes a new derivation of the single use reliability variance by applying a well-known theorem and eliminating the need to compute the second moments of arc failure probabilities. Our new results complete a new analysis that could be shown to be simpler, faster, and more direct while also rendering a more intuitive explanation. Our new theory is illustrated with three simple Markov chain usage models with manual derivations and experimental results

A Simpler and More Direct Derivation of System Reliability Using Markov Chain Usage Models

Markov chain usage-based statistical testing has been around for more than two decades, and proved sound and effective in providing audit trails of evidence in certifying software-intensive systems. The system end-to-end reliability is derived analytically in closed form, following an arc-based Bayesian model. System reliability is represented by an important statistic called single use reliability, and defined as the probability of a randomly selected use being successful. This paper reviews the analytical derivation of the single use reliability mean, and proposes a simpler, faster, and more direct way to compute the expected value that renders an intuitive explanation. The new derivation is illustrated with two examples

A Critical Deconstruction of the Okishio Theorem

As part of the literature denying Marx’s Law of Tendency of Rate of Profit to Fall, the Okishio theorem exerts extensive influence. This theorem uses rigorous mathematical methods in an attempt to prove that the introduction of advanced technology in the basic goods sector of capitalism leads inevitably to an increase in the general rate of profit. In the literature criticizing the Okishio theorem, there are two main flaws identified. One is that the literature fails to investigate the validity of the production price, which forms the basis of the theorem. The other is that it does not examine the authenticity of the economic theory underlying the theorem. The analysis set forward here shows that the Okishio theorem’s “production price” amounts to a complete departure from Marx’s definition and is simply a product of the commodity circulation markup. The theorem follows the vulgar components of Smith’s theory of value and Ricardo’s theory of transformation. Okishio does not understand that the decline of the general rate of profit is precisely the compound result of individual capital pursuing excess profit, which represents the “prisoner’s dilemma” of capitalists

Modeling of Performance Creative Evaluation Driven by Multimodal Affective Data

Performance creative evaluation can be achieved through affective data, and the use of affective featuresto evaluate performance creative is a new research trend. This paper proposes a “Performance Creative—Multimodal Affective (PC-MulAff)” model based on the multimodal affective features for performance creative evaluation. The multimedia data acquisition equipment is used to collect the physiological data of the audience, including the multimodal affective data such as the facial expression, heart rate and eye movement. Calculate affective features of multimodal data combined with director annotation, and defined “Performance Creative—Affective Acceptance (PC-Acc)” based on multimodal affective features to evaluate the quality of performance creative. This paper verifies the PC-MulAff model on different performance data sets. The experimental results show that the PC-MulAff model shows high evaluation quality in different performance forms. In the creative evaluation of dance performance, the accuracy of the model is 7.44% and 13.95% higher than that of the single textual and single video evaluation

Grassland Degradation and Recovery Based on Remote Sensing and GIS in Inner Mongolia

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