Doctor-patient mutual trust, telemedicine quality, and satisfaction: The role of knowledge management

Abstract. Distant medical care satisfaction demands high quality care result. Both quality and satisfaction rely heavily on collective operations on knowledge of and relations between patients and doctors. Thus, knowledge sharing and doctor-patient trust are among the two critical factors that may lead to medical care quality and satisfaction. However, existing literature discussed the abovementioned in a scant fashion and without considering the gap between knowledge of owners in this context (i.e., care offerers such as doctors and receivers like patients). This paper proposes a conceptual model for an integrative discussion of the relationships among knowledge sharing, trust, medical care quality and patient satisfaction, from a fresh perspective of knowledge gap. Theoretical and practical implications are expected to be rich because this conceotual piece offer discussions from a viewpoint that starts from the mnost fundamental factor – collective knowledge attribute in terms of its heterogeneous structure.Keywords. Knowledge sharing, Trust, Distant medical care, Quality, Satisfaction.JEL. D80, D83, D84, D85

The impact of institutional entrepreneurship on value co-creation in long-term care context: A case study

Abstract. "Human-centered" is the core logic for long-term care development. Traditional though on value creation focuses on the financial profits generated in the transaction between product/service suppliers and customers. Differently, value co-creation emphasizes on collective creation of effective impacts (economic and social) via the knowledge and experiences exchanges between key stakeholders. Long-term care is a setting that deals both macro-level institutional and micro-level stakeholder behavioral concerns. The latter is embedded in the former; thus, it is critical to systematically discuss the influences of institutional change on the evolutionary value co-creation in long-term care context. The present article tries to search for theoretical essence and elements of value co-creation in long-term care, which is expected to be achieved jointly by service provider (the caring), receiver (the cared), the healthcare organization (e.g., hospitals), the government units, and other parties. Then the influences of institutional entrepreneurship’s changes on these theoretical elements of value co-creation would be discussed. The article sets to offer clearer understanding of what value co-creation is in the long-term care context and how institutional entrepreneurship can alter value co-creation. Implications for research, practices, and health policy were discussed.Keywords. Institutional change, Long-term care, Value co-creation.JEL. B14, B24, B51

A Smartphone APP for Health and Tourism Promotion

The main purpose of this study is to develop an APP by integrating GPS to provide the digitized information of local cultural spots to guide tourists for tourism promotion and the digitized information of mountaineering trails to monitor energy expenditure (EE) for health promotion. The provided cultural information is also adopted for educational purpose. Extended Technology Acceptance Model (TAM) was used to evaluate the usefulness and behavior intention of the provided information and functions in the developed system. Most users agreed that the system is useful for health promotion, tourism promotion, and folk-culture education. They also showed strong intention and positive attitude toward continuous use of the APP

Risk Analysis of Cargos Damages for Aquatic Products of Refrigerated Containers: Shipping Operators’ Perspective in Taiwan

As the development of refrigerated container, transportation of aquatic products is growing rapidly in recent years. It is very important to avoid cargos damages for aquatic products of refrigerated containers, while the shipping operators are running this scope of business. Hence, the risk issue of adopting various improvement strategies would be important for the container shipping operators. In the light of this, the main purpose of this paper is to analyze the risks of cargos damages for aquatic products of refrigerated containers based on the container shipping operators’ perspective in Taiwan. We use four risk assessment procedures - risk identification, risk analysis and evaluation, risk strategies, and risk treatment - as the research method in this paper. The risk factors are generated from literature review and experts interviewing. Then, three dimensions with nineteen risk factors are preliminary identified. We used these risk factors to proceed with the empirical study via questionnaires. Three points of empirical results are presented. At first, the top factor of perceived risk as well as of risk severity is ‘container data setting errors.’ Secondly, the top factor of risk frequency is ‘lack of the goods’ pre-cooling themselves.’ Thirdly, three risk factors are classified into the low-risk area, whereas sixteen risk factors are placed on the medium-risk area. There is no risk factor fix on the high-risk area. Furthermore, three risk strategies - risk prevention, risk reduction, and risk transfer - are suggested to adopt by different risk factors

Isolation, Culture and Characterization of Hirsutella sinensis Mycelium from Caterpillar Fungus Fruiting Body

The caterpillar fungus Ophiocordyceps sinensis (previously called Cordyceps sinensis) has been used for centuries in Asia as a tonic to improve health and longevity. Recent studies show that O. sinensis produces a wide range of biological effects on cells, laboratory animals and humans, including anti-fatigue, anti-infection, anti-inflammatory, antioxidant, and anti-tumor activities. In view of the rarity of O. sinensis fruiting bodies in nature, cultivation of its anamorph mycelium represents a useful alternative for large-scale production. However, O. sinensis fruiting bodies harvested in nature harbor several fungal contaminants, a phenomenon that led to the isolation and characterization of a large number of incorrect mycelium strains. We report here the isolation of a mycelium from a fruiting body of O. sinensis and we identify the isolate as O. sinensis’ anamorph (also called Hirsutella sinensis) based on multi-locus sequence typing of several fungal genes (ITS, nrSSU, nrLSU, RPB1, RPB2, MCM7, β-tubulin, TEF-1α, and ATP6). The main characteristics of the isolated mycelium, including its optimal growth at low temperature (16°C) and its biochemical composition, are similar to that of O. sinensis fruiting bodies, indicating that the mycelium strain characterized here may be used as a substitute for the rare and expensive O. sinensis fruiting bodies found in nature

Immobilization of enzyme and antibody on ALD-HfO2-EIS structure by NH3 plasma treatment

Thin hafnium oxide layers deposited by an atomic layer deposition system were investigated as the sensing membrane of the electrolyte-insulator-semiconductor structure. Moreover, a post-remote NH3 plasma treatment was proposed to replace the complicated silanization procedure for enzyme immobilization. Compared to conventional methods using chemical procedures, remote NH3 plasma treatment reduces the processing steps and time. The results exhibited that urea and antigen can be successfully detected, which indicated that the immobilization process is correct

Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1

A reliable, remote, and continuous real-time respiratory sound monitor with automated respiratory sound analysis ability is urgently required in many clinical scenarios-such as in monitoring disease progression of coronavirus disease 2019-to replace conventional auscultation with a handheld stethoscope. However, a robust computerized respiratory sound analysis algorithm has not yet been validated in practical applications. In this study, we developed a lung sound database (HF_Lung_V1) comprising 9,765 audio files of lung sounds (duration of 15 s each), 34,095 inhalation labels, 18,349 exhalation labels, 13,883 continuous adventitious sound (CAS) labels (comprising 8,457 wheeze labels, 686 stridor labels, and 4,740 rhonchi labels), and 15,606 discontinuous adventitious sound labels (all crackles). We conducted benchmark tests for long short-term memory (LSTM), gated recurrent unit (GRU), bidirectional LSTM (BiLSTM), bidirectional GRU (BiGRU), convolutional neural network (CNN)-LSTM, CNN-GRU, CNN-BiLSTM, and CNN-BiGRU models for breath phase detection and adventitious sound detection. We also conducted a performance comparison between the LSTM-based and GRU-based models, between unidirectional and bidirectional models, and between models with and without a CNN. The results revealed that these models exhibited adequate performance in lung sound analysis. The GRU-based models outperformed, in terms of F1 scores and areas under the receiver operating characteristic curves, the LSTM-based models in most of the defined tasks. Furthermore, all bidirectional models outperformed their unidirectional counterparts. Finally, the addition of a CNN improved the accuracy of lung sound analysis, especially in the CAS detection tasks.Comment: 48 pages, 8 figures. To be submitte