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The purpose of this paper is to identify the influential agents that led to the successful acceptance and diffusion of the Concerto clinical workstation at the Northern District Health Board.

The paper draws on Rogers’ diffusion of innovation theory to interpret and analyse the factors that enabled acceptance and successful implementation of the innovative Concerto clinical workstation.

The authors conclude that human factors (clinicians) and non-human factors (the software package) simultaneously influenced the ready acceptance of the innovation. The reason for the positive acceptance and full diffusion of Concerto as compared to iHealth is the increased functionality it offers and its ability to provide clinicians with comprehensive patient records over a period of time, which assists in making informed decisions regarding the treatment, discharge, hospitalisation and recommendations for the future well-being of patients.

The study focused on only one district health board (DHB); therefore, the outcomes may not be representative of all DHBs.

The study has practical implications for clinicians, DHB members and public health regulators. The outcomes illuminate the “agents” that positively influenced the diffusion of Concerto. The regulators and the DHBs can use this as a benchmark to determine how to lead the successful diffusion of information technology (IT) innovation in the public health sector.

The impact on society is evident in the paper, as the use of an innovation, such as Concerto, saves time taken by clinicians to make more informed decisions regarding their patient care.

This study contributes to new knowledge by investigating the diffusion process of IT innovation with an intention of establishing the factors that enabled this process.

The purpose of this paper is to develop an Internet of medical things (IoMT)-based geriatric care management system (I-GCMS), integrating IoMT and case-based reasoning (CBR) in order to deal with the global concerns of the increasing demand for elderly care service in nursing homes.

The I-GCMS is developed under the IoMT environment to collect real-time biometric data for total health monitoring. When the health of an elderly deteriorates, the CBR is used to revise and generate the customized care plan, and hence support and improve the geriatric care management (GCM) service in nursing homes.

A case study is conducted in a nursing home in Taiwan to evaluate the performance of the I-GCMS. Under the IoMT environment, the time saving in executing total health monitoring helps improve the daily operation effectiveness and efficiency. In addition, the proposed system helps leverage a proactive approach in modifying the content of a care plan in response to the change of health status of elderly.

Considering the needs for demanding and accurate healthcare services, this is the first time that IoMT and CBR technologies have been integrated in the field of GCM. This paper illustrates how to seamlessly connect various sensors to capture real-time biometric data to the I-GCMS platform for responsively supporting decision making in the care plan modification processes. With the aid of I-GCMS, the efficiency in executing the daily routine processes and the quality of healthcare services can be improved.

Purpose: As biomedicine grants technology and quantification privileged roles in our cultural constructions of health, media and technology play an increasingly important role in mediating our everyday experiences of our bodies and may contribute to the reproduction of gendered norms.

Design: This study draws from a broad variety of disciplines to contextualize and interpret contemporary trends in self-quantification, focusing on metrics for health and fitness. I will also draw from psychology and feminist scholarship on objectification and body-surveillance.

Findings: I interpret body-tracking tools as biomedical technologies of self-surveillance that facilitate and encourage control of human bodies, while solidifying demands for standardization around neoliberal values of enhancement and optimization. I also argue that body-tracking devices reinforce and normalize the scrutiny of human bodies in ways that may reproduce and advance longstanding gender disparities in detriment of women.

Implications: A responsible conceptualization, design, implementation, and usage of health-tracking technologies requires us to recognize and better understand how technologies with widely touted benefits also have the potential to reinforce and extend inequalities, alter subjective experiences and produce damaging outcomes, especially among certain groups. I conclude by proposing some alternatives for devising technologies or encouraging practices that are sensitive to these differences and acknowledge the validity of alternative values.

Artificial intelligence (AI) has a significant impact on value co-creation (VCC). However, a study providing a comprehensive summary of the current state of the art and common ground of the two fields is missing. The current study aims to fill this gap by conceptualizing the role of AI in VCC and customer decision-making.

The study reviews literature on VCC and AI together, including a total of 108 articles. To bring the literature together, the authors adopted the antecedents-mediators-outcomes framework and narrative approach that helped them develop a framework by integrating the antecedents, mediators and outcomes of AI-facilitated VCC. Furthermore, the authors also operationalized existing literature to facilitate an understanding of the role of AI in customer decision-making.

The study, in addition to identifying the common theoretical grounds of VCC and AI (human behavior, cognition and social interactions), operationalizes AI functionality, its characteristics and customer characteristics as the antecedents of AI-facilitated VCC. Moreover, based on literature, on the continuum of low-to-high involvement, four types of decision-making were identified as mediator of the relationship between AI characteristics, customer characteristics and VCC. Additionally, the authors found different categorizations of AI in literature as archetypes to support various forms of VCC.

The study contributes to the literature of VCC and AI by construing a comprehensive framework for analyzing AI's impact on VCC, envisioning customer–AI interaction as continual exchange of advantages in which characteristics of AI and customers play a critical role in customer decision-making and shaping VCC.

The purpose of this paper is to understand what dimensions consumers prefer to track using wearable technology to achieve a healthier lifestyle and how these tracking dimensions are related.

An online survey was conducted with potential consumers in the USA, and a series of Pearson’s correlation and regression analysis and multiple regressions was conducted.

The most preferred self-tracking dimensions, tracking dimensions on others, most private tracking dimensions, most variable dimensions, and the dimensions that need to be improved were identified. The results of this study showed positive relationships overall among similar types of tracking dimensions, such as among dimensions of physical health condition (disease and disorder symptoms and general vital signs), mental health condition (stress level and mood/feeling), healthy lifestyle (fitness, and pose and posture), and productivity and task management (work productivity, location, and time management).

Designers are encouraged to make wearable technology products that are durable, easy to care for, attractive in design, comfortable to wear and use, able to track preferred dimensions, appropriate for various consumers, unobtrusive, portable, and small. This research will guide wearable technology and fashion industry professionals in the development process of wearable technology to benefit consumers by helping them be more self-aware, empowering them to develop a healthier lifestyle, and ultimately increasing their quality of life and well-being.

There is little literature on patient satisfaction related to prisoner health services; the little that does exist refers to specific services, or to sub‐groups of prisoner‐patients. We describe a general assessment of prisoner health services conducted on two separate occasions each with a collective sample of 210 participants, three years apart, using the same instrument. We utilised the World Health Organization Rapid Cluster Sample Survey on both occasions. We conclude that prisoners are interested informants for the health services provided to them. They have valid concerns about the confidentiality of their medical records. Programs and work routines have major impacts on accessibility of prison‐based health services. Given the lack of choice in service‐providers for prisoners, greater flexibility is required by health and custodial agencies to accommodate these two competing areas of activity. We demonstrated that a health service targeting an ‘at risk’ population can respond to inadequacies in service provision. Finally, we confirmed that the World Health Organization Rapid Cluster Sample Survey methodology is an efficient and effective means of assessing health services to discrete populations.

The purpose of this paper is to provide an overview of knowledge capture in the biopharmaceutical industry, focusing primarily on the transition from paper‐based to electronic data capture (EDC) systems.

The paper draws on biopharmaceutical industry literature and data from example clinical studies to describe the issues involved in transitioning to EDC in the clinical trials environment.

While electronic data capture systems provide greater efficiencies along the clinical trial supply chain, the industry is still far from achieving wide scale utilization of such technologies. The barriers to successful implementation are multifaceted, involving not only the information technology itself, but also user acceptance issues, lack of interoperability standards, and regulatory compliance. Major shifts in organizational culture and a unified effort within the industry will be necessary in order to derive full benefits from electronic capture systems in the future.

This study was limited in that case data from only one company was used to supplement the literature review. Further research is warranted to better understand the factors that facilitate adoption of electronic knowledge capture systems in the biopharmaceutical industry.

While the need for knowledge management in the healthcare industry is indisputable, there has been remarkably slow progress in this area, and a dearth of research exploring implementation issues. The value of this type of inquiry is profound as it will help us better understand the issues in implementation and adoption, and ultimately to deliver more effective and safe drugs to the public in a more efficient manner.

Newly marketed drugs present unavoidable risks, no matter how diligent the level of pre-market review. Numerous adverse drug events attest to the need for post-market vigilance. However, the Food and Drug Administration monitors drugs with considerably less rigor after launch than before. This burdens both public health and public trust in the safety of new medicines. As new technologies such as genomics guide a larger share of drug development, the issue will become more acute. Most reform proposals present considerable logistical challenges. A promising alternative is to harness existing managed care databases to search for drug effects.

Increasingly popular mobile health technology is creating a new paradigm for the delivery of care to patients involving a role of the pharmacist. This study aims to propose a renewed patient–pharmacist relationship in this environment and present an empirical case study investigating the influence of key variables, including the consumer’s attitude toward personalized monitoring performed by the pharmacist, on the intention to adopt a mobile health app. Other drivers identified were ease of use and perceived usefulness of the app, individual and health-related factors (perceived vulnerability and severity of health condition, social norms and innovativeness with technology) and quality of relationship with the pharmacist.

A self-administered online survey was completed by 356 Canadian mobile device owners of more than 40 of age. Analyses were performed using structural equation modeling.

The main factor driving adoption intentions was perceived usefulness followed by the respondent’s innovativeness with technology and perceived vulnerability of his/her health condition. Attitude toward personalized monitoring depends primarily on the relationship with the pharmacist. No relationship was found between adoption intentions and attitude toward personalized monitoring.

This research features a multidisciplinary approach by using variables from relational marketing, information technology and health and inclusion of the pharmacist (vs physician) as a health consultant, offering relevant marketing avenues for pharmacists.

Recent studies indicated that the level of adoption of health data standards in healthcare organisations remains frustratingly low worldwide although health data standards have been perceived to be an essential tool for interoperability barriers within health information systems. The relevant literature still lacks significant studies concerning the issues of the adoption process of health data standards in healthcare organisations, and in particular those in developing nation. In addressing this gap in knowledge, the purpose of this paper is to investigate the adoption decision of health data standards in tertiary healthcare organisations in Saudi Arabia, and to develop a technology-organisation-environment list that contains the critical factors influencing their adoption.

A multiple-case study methodology was conducted in Saudi Arabia and different data collection methods were used included semi-structured interviews with different decision makers at various levels and departments of the subject organisations, and documents analysis to identify critical factors to the adoption decision of health data standards.

The findings demonstrated a list of key factors from different aspects impacting the adoption decision of health data standards in the subject organisations. The technological factors are complexity and compatibility of health data standards, IT infrastructure, switching costs, market uncertainties, systems integration and enhancing the use of advanced systems. The main organisational factors are the lack of adequate policies and procedures and information management plan, resistance to change, data analysis and accreditation. The core environmental factors are the lack of national regulator and data exchange plan, national healthcare system and the shortage of professionals.

The results from the qualitative data were difficult to generalise to other populations. For example, the structure of the health sector varies from country to country as each health sector has its own characteristics that affect and are affected by national circumstances. In order to provide a more grounded theory resulting from a qualitative study, further examination by conducting quantitative studies is required. In addition, the TOE approach does not take into account the sociotechnical issues and further research is required in this area.

The investigation into the adoption decision of health data standards in tertiary healthcare organisations in Saudi Arabia has led to the development of a technology-organisation-environment list that contains the critical factors influencing their adoption. The research outcome has addressed the gap in knowledge of the adoption of health data standards in healthcare organisations. It also provides the decision maker, and in particular those in developing nations, with better understanding of the adoption process of those standards to better judge and to develop suitable strategy of adoption interventions.

Although recent studies indicated that the level of adoption of health data standards in healthcare organisations remains frustratingly low, the prior studies related to health data standards missed out on the exploration of the adoption decision of different types of health data standards in healthcare organisations and the critical factors influencing their adoption. Research on health data standards adoption based out of a developing country such as Saudi Arabia can also potentially provide several new insights on standards practices.