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The purpose of this paper is to present an automatic Medical Knowledge Elicitation System (MediKES), which is designed to improve elicitation and sharing of tacit knowledge acquired by physicians. The system leverages the clinical information stored in electronic medical record systems, by representing the acquired information in a series of knowledge maps.

The system architecture of the proposed MediKES is first discussed, and then a case study on an application of the proposed system in a Hong Kong medical organization is presented to illustrate the adoption process and highlight the benefits that can be realized from deployment of the MediKES.

The results of the case study show that the proposed solution is more reliable and powerful than traditional knowledge elicitation approaches in capturing physicians' tacit knowledge, transforming it into a machine‐readable form, as well as enhancing the quality of the medical judgment made by physicians.

A prototype system has been constructed and implemented on a trial basis in a medical organization. It has proven to be of benefit to healthcare professionals through its automatic functions in representing and visualizing physicians' diagnostic decisions.

Knowledge is key to improving the quality of the medical judgment of physicians. However, researchers and practitioners are still striving for more effective ways of capturing tacit knowledge and transforming it into a machine‐readable form so as to enhance knowledge sharing. In this paper, the authors reveal that the knowledge retrieval and the visual knowledge representation functions of the proposed system are able to facilitate knowledge sharing among physicians. Thus, junior physicians can use it as a decision support tool in making better diagnostic decisions.

Healthcare (HC) utilizes informatics to provide its services through information technology (IT) where social network is a promising initiative to aid medical decision-making (DM) quality. Even though HC is a globally expensive investment and a complex service-oriented industry, it still suffers from quality due to frequently occurring medical errors. In order to reduce medical errors, medical DM needs to be improved. This research has participated in this effort by exploring social capital theory (SCT) within a virtual community of practice (VCoP), HC knowledge management (KM) process – knowledge sharing quality and medical DM quality.

Traditional and up-to-date HC-related and non-HC-related theoretical, empirical and case study-based literature review has been thoroughly analyzed to hence support the inter-relationships between the theoretical constructs being: SCT, knowledge sharing quality and medical DM quality presented as a conceptual framework. This conceptual framework is based on propositions derived from thorough literature review theory to relate between each of the constructs.

SCT has the potential to facilitate medical DM within a VCoP, as well as, knowledge sharing quality plays a mediating and facilitating role between SCT and medical DM quality.

The study has significantly focussed on SCT, which is actually part of the social sciences and anthropology discipline. In parallel, this research also analyzed the literature that pertained to the value of a VCoP to improve medical DM quality.

The study's focus on SCT, knowledge sharing and medical DM; hence promotes future empirical research findings to be compared within a particular HC VC; from a case study point of view.

The paper adds value to the large body of intellectual knowledge by enhancing the conception of medical DM quality to improve HC quality. Medical DM is a soft area of research. This research has introduced a new avenue on which HC quality can be improved by reducing medical errors, from the perspective of social computing and medical DM quality and the mediating role of knowledge sharing quality.

Since the execution of National Health Insurance system in Taiwan, the competition of medical industry is becoming more and more severe. The ways the hospital operate knowledge management (KM) concept, combine current human resources and professional knowledge by information techniques and upgrade the competitiveness through reinvention of organizational culture have become the important issues. This research is based on the relationship between KM and organizational operation, integrates the characteristic of medical institutions and framework of medical knowledge cycle and starts the research subject by questionnaires from three dimensions: current situation of KM construction in medical organizations, executive effect of KM activities and the challenges faced by KM; subsequently, from qualitative interview, this research attempts to understand how a medical organization executes and adjusts in the consideration of theory and reality as well as quality and costs when actually operates the organization. This research accesses to KM system application of medical institutions and the empirical executive benefits and difficulties through questionnaires. The research results are as follows: (1) having initial understanding toward current KM establishment of medical institutions; (2) confirming the most important items of KM establishment of medical organizations; (3) understanding the most difficulty which the medical organizations encounter when executing KM; (4) establishing medical knowledge cycle figure of the hospitals receiving interviews. Through case interview, this research profoundly accessed to the actual operation of KM application of medical organizations. The target hospitals intended to try many medical KM measures; however, during to complicated hospital organizations and cultural characteristics, the promotion was not successful and the results were not apparent. The most difficulty was to change the employees’ behavior. The targets believed that only the continuous promotion of KM can allow it to be an important aspect of organizational culture and the competitiveness could constant be upgraded.

Customer Support Knowledge of Customer Support Organization is one of the important assets of enterprises and “Customer Support Knowledge Management” is also the critical aspect of Business Knowledge Management; however, the attributes of Customer Support Knowledge are complicated, diverse, renewed rapidly and difficult to be managed. Thus, in order to design a successful Customer Support Knowledge Management System, apart from the consideration of “human” and “information technology” aspects, the concerns of attributes and Customer Support Knowledge and industry characteristics should be involved for meeting the requirements of Customer Support Organization and allowing the organization to acquire the competitive advantage of “Differentiation Service”. This research used the “Customer Support Knowledge Management System” in a high‐tech industry as an example and treated the end users of medical instruments in different types of hospitals in Taiwan which have received the support service of our company in recent six months as the population. The end users were mostly the nursing executives or ultrasonic wave technical personnel in intensive care unit and they had similar educational background and incomes and adopted the medical instruments such as physical supervision system, ultrasonic wave system, heart start or ECG machine produced by our company; the research method was to randomly treat the investigation results of the telephone customers’ satisfaction from respective 30 end users in the population three months before and after this system execution as the samples and use hypotheses to validate if the end users’ customer satisfaction significantly improved in terms of “Remote Support,” “On‐site Support,” “Service Turn Around time,” “Technical Competence” and “Service Manner” in order to understand the influence and managerial significance of execution of “Customer Support Knowledge Management System” on Customer Support Organization.

How is medical knowledge produced and what are the implications of that knowledge production for medical practice? Using theoretical ideas on evidence-based medicine, standardization in medical research and practice, and biopower, I examine the relationship between medical knowledge and medical practice through the case of pelvic pain care in the US.

Data from ethnographic observations at two medical conferences as well as interviews with healthcare providers inform a critical analysis of the medical discourse.

The analysis reveals how evidence-based medicine is practiced in the context of medical conditions that lack objective evidence, as well as the unintended consequences of such practices. I provide an alternative approach to medical practice for conditions lacking traditional evidence through presenting outlier cases in the data.

In doing so, I make the broad theoretical argument that biomedical paradigms must emerge through the critical process of negative dialectics in order to reach past the limits of standardized medical care.

In sociologically analyzing the case of pelvic pain care, I reveal dire limits in the evidence-based approach to medical care for conditions and symptoms that may be deemed medical anomalies, demanding an alternative approach to care for such conditions.

The booming of the Internet of things (IoT) and artificial intelligence (AI) techniques contributes to knowledge adoption and management innovation for the healthcare industry. It is of great significance to transport the medical resources to required places in an efficient way. However, it is difficult to exactly discover matched transportation resources and deliver to its destination due to the heterogeneity. This paper studies the medical transportation resource discovery mechanism, leading to efficiency improvement and operational innovation.

To solve the transportation resource semantic discovery problem under the novel cloud environment, the ontology modelling approach is used for both transportation resources and tasks information modes. Besides, medical transportation resource discovery mechanism is proposed, and resource matching rules are designed including three stages: filtering reasoning, QoS-based matching and user preferences-based rank to satisfy personalized demands of users. Furthermore, description logic rules are built to express the developed matching rules.

An organizational transportation case is taken as an example to describe the medical transportation logistics resource semantic discovery process under cloud medical service scenario. Results derived from the proposed semantic discovery mechanism could assist operators to find the most suitable resources.

The case study validates the effectiveness of the developed transportation resource semantic discovery mechanism, contributing to knowledge management innovation for the medical logistics industry.

To improve task-resource matching accuracy under cloud scenario, this study develops a transportation resource semantic discovery procedure from the viewpoint of knowledge management. The novel knowledge management practice contributes to operational management of the cloud medical logistics service by introducing ontology modelling and creative management.

As biomedicine becomes increasingly enmeshed in modern life, biomedicalization processes have implications for reproductive policy, including abortion policy. Informed consent provisions have been a prominent trend in state-level abortion lawmaking in the United States in recent years. Modeled on the practice of securing informed consent for medical procedures, informed consent provisions stipulate the information a person must receive before they can consent to an abortion. Informed consent provisions purportedly require that this information be objective, scientifically accurate, and non-judgmental. Through an analysis of informed consent provisions in Texas abortion legislation from 1993 to 2015, this chapter explores how such provisions employ medical and biomedical tropes to frame regulations that restrict access to abortion care as ostensibly protecting women’s health and safety. I find that informed consent legislation in Texas selectively borrows from medical and biomedical lexicons, cites strategic empirical evidence, and co-opts medical techniques and experts in ways that encumber abortion access.

Purpose – This chapter examines medical consumerism and the changing relations between patients as consumers and the medical system across two women's health contexts, breast cancer and infertility.

Methodology/approach – The analysis draws on two qualitative studies: The first explores the experiences of 60 breast cancer survivors through in-depth interviews and participant observation (Sulik, 2005), and the second uses in-depth interviews to analyze 18 women's experiences with infertility (Eich-Krohm, 2000).

Findings – The medical consumer is an individualized role that shifts attention away from the quality problem in health care and toward the quality of the person as a medical consumer who is characterized to be optimistic, proactive, rational, responsible, and informed.

Research limitations/implications – As medicine has become a form of mass consumption, the category of medical consumer has elevated the individual in medical decision-making. The shift from patient to medical consumer is an ongoing process that is grounded in a tension between medical control and individual agency, and is exacerbated by the intensity and incomprehensibility of modern medicine.

Practical implications – The proliferation of medical information and personal illness narratives through the Internet, advice books, and self-help groups have advanced lay knowledge about preventive medicine and medical treatment while simultaneously introducing new fears and anxiety about the multitude of options and outcomes.

Originality/value of chapter – This study contributes to our knowledge on medical consumerism and its impact on illness experience and the synthesis of lay and professional knowledge.