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Health Insurance Portability and Accountability Act implementation in the USA caused waves in the medical world about documentation storage, flow and access. Protecting patients from information falling into the wrong hands is admirable, but the Act has influenced more than just documentation; it has slowed the research process and complicated basic US medical care. This article aims to discuss Health Insurance Portability and Accountability Act's effects on documentation and patient care and future US healthcare options.

A chronological approach is used to lay out the Act's effects. Using process flow maps, the pre‐ and post‐Act environment is analyzed to discover differences in the two processes. Then a critique of the new environment leads to future movement recommendations by the US government and the healthcare industry.

True to the US government's track record, by the time the Act was passed, it was already outdated in terms of IT management capabilities. In addition to trying to comply with these outdated practices, the Act's wording is so vague that hospital staff are not sure with what they are even complying. The Act could be improved with some simple changes to wording and updating.

This article attempts to take a massive problem with far reaching implications, drill down to the key issues and make managerial recommendations based on findings. This provides a more detailed problem view that can only be understood at a high level owing to its complexity. Importantly, the key issues developed in the article support US government reform for legislation, which is not an easy task. There were studies available on the Act's cost to patients, hospitals, clinics and general costs in the USA. However, all the research was site specific and easily contradicted by other sources. Additionally, source reliability was questionable at best, as publications came from specific hospitals and clinics.

Throughout the study two themes were clear – the Act's outdated nature and vague wording. The more research that was done, the more confusing the information began to get, it seems even experts have a hard time understating and complying with the Act. One thing is clear. The Act is confusing and outdated. Because the problem is so large and fragmented, people are not sure where to start fixing the predicament. Arming US hospitals, clinics and doctors with basic knowledge can give them a common springboard to start changing the current environment.

It is clear that the problem is large and confusing. Consolidating research results seems a valuable tool to help understand what is wrong with US healthcare. This article makes a case that updating and improving the directive's ambiguous nature helps create a less frustrating US healthcare system.

It is widely accepted that the use of information and communication technology (ICT) in the healthcare sector offers great potential for improving the quality of services provided, the efficiency and effectiveness of personnel, and also reducing organizational expenses. This paper seeks to examine various hospital information system (HIS) evaluation methods.

In this paper a comprehensive search of the literature concerning the evaluation of complex health information systems is conducted and used to generate a synthesis of the literature around evaluation efforts in this field. Three approaches for evaluating hospital information systems are presented – user satisfaction, usage, and economic evaluation.

The main results are that during the past decade, computers and information systems, as well as their resultant products, have pervaded hospitals worldwide. Unfortunately, methodologies to measure the various impacts of these systems have not evolved at the same pace. To summarize, measurement of users' satisfaction with information systems may be the most effective evaluation method in comparison with the rest of the methods presented.

The methodologies, taxonomies and concepts presented in this paper could benefit researchers and practitioners in the evaluation of HISs.

This review points out the need for more thorough evaluations of HISs that look at a wide range of factors that can affect the relative success or failure of these systems.

The purpose of this paper was to explore the comparative influential factors affecting the behavioral intention and actual usage of mHealth services in two distinct national environments, i.e. China and Bangladesh, in relation to the international expansion of mHealth services.

In this study, widely accepted Unified Theory of Acceptance and Use of Technology (UTAUT) with two additional variables, i.e. Perceived Reliability and Price Value have been selected as a theoretical framework. Primary data were collected from existing mHealth users among generation Y in both China and Bangladesh. A total of 296 and 250 questionnaires were deemed as usable for data analysis for Bangladesh and China, respectively.

Performance expectancy and social influence had significant impact on the adoption intention of mHealth services for both countries. Effort expectancy and price value were insignificant factors for Bangladesh, whereas facilitating condition and perceived reliability were insignificant for China.

The insights from this study could benefit mHealth services providers and those policymakers who seek to enter the Chinese and the Bangladeshi healthcare market. The dimensions identified in the study are based on a full assessment of mHealth usages experiences. Global service providers can use the dimensions identified by the paper to better assess their service performance on an international level.

The paper is unique in that it is one of the first cross-country examinations of influential factors affecting the adoption of mHealth services in two different countries. This study confirms the applicability of extended UTAUT model in the context of mHealth services among the generation Y in developing countries such as China and Bangladesh.

The purpose of this paper is to examine the relational consequences of electronic patient records based on co-produced data from pregnant women’s IT supported self-reporting. The analysis unfolds how the clinical encounter between patient and professional is reconfigured in the digitized society.

The paper provides a grounded theory analysis based on observations and interviews in an antenatal care unit. The study draws on empirical material generated through observations of the clinical encounters between pregnant women and midwifes, interviews with managers and midwifes, field notes and policy documents.

The author argues that the use of technology and co-produced data displace tasks and relations between healthcare professional and patient. The analysis shows that four modes of organizational patient involvement are enacted: involvement in administrative tasks, involvement in professional resistance, individualized involvement, and homogenized involvement of patients that tends to categorize the pregnancy roughly as either “normal” or “abnormal.”

This study contributes to qualitative research in digitization and patient involvement in health organization studies by showing how digital technology distributes the midwife’s autonomy, tasks and knowledge about the patient with both intended and unintended consequences. The argument goes beyond the prevalent prescriptive approaches to e-government and co-production, instead providing a critical analytical perspective on the promises of delivering efficient and patient-centered healthcare.

This paper aims to identify and empirically validate the various factors for adoption, usage and intention to recommend e-pharmacy for purchasing medications by consumers.

Based on constructs from well-established theoretical models, the technology acceptance model, extended unified theory of acceptance and use of technology and self-determination theory, a model was proposed for the study. The model was validated with a sample size of 184 respondents using partial least squares method and factor analysis to establish and validate relationships among the various identified constructs.

The results show that performance expectancy, effort expectancy, social influence and hedonic motivation have a positive co-relation with adoption of e-pharmacy and the intention to recommend. The results depict that gender and educational background have no correlation toward adoption and intention to recommend e-pharmacies for purchasing medicines in India.

This research comes along with a geographic limitation of the sample size. The research was conducted in an urban suburb city of Bengaluru, India.

At an academic level, this research will provide interesting insights for exploring adoption and usage intention of consumers toward e-pharmacy. At a managerial level, this empirically supported study will provide insights into the relationship among the various constructs and the consumers’ motivation toward adoption and usage intention of e-pharmacy.

This research is the first of its form which uses constructs from the technology acceptance model, extended unified theory of acceptance and use of technology and self-determination theory in the online healthcare space to understand consumer usage behavior.

The purpose of this paper is to develop a comprehensive conceptual model for the impact of hospital-supplier integration on the overall performance of healthcare organisations. It also investigates the moderating role of lean practices between hospital-supplier integration and hospital performance.

Data were collected from 498 public and private hospitals in Saudi Arabia using a survey. Structural equation modelling was used for data analysis.

The results indicate that hospital-supplier integration has a positive impact on the hospital performance. These effects are even more notable when adopting lean practices in the hospitals.

The data were collected from one developing country, namely Saudi Arabia. Thus, the findings may be relevant to the Saudi context but not those of other developing countries. Second, the data were collected from the hospitals’ end but not from the suppliers, so the latter’s perspectives on the themes covered here are not known. Future research may investigate the validity of the model in various developing countries whose healthcare systems have different characteristics, and the relationships between hospitals and their suppliers may follow different governance models.

The developed model and results will help hospitals in the Saudi health system to make better decisions on managing their logistics and supply partners.

This study extends the current research by developing a model that highlights the impact of hospital-supplier integration on the overall performance of healthcare organisations and tests this model to confirm its validity. To the authors’ knowledge, this study would be one of the first that uses both lean thinking and relational view of competitive advantage theory combined to examine the moderating role of lean practices on the inter-organisational relationships in Saudi Arabia.

Quantifying the performance level of surgeons with digital virtual reality (VR) simulators can help ensure that quality requirements in healthcare are met. In order to better understand integration amongst quality principles, practices and technologies in the adoption and diffusion of VR simulators, the authors applied a technological innovation system (TIS) framework. The purpose of this study is to understand how the adoption and diffusion of VR surgical simulators in a Swedish healthcare context is influenced by various system factors.

In this study, single-case holistic design based on innovation system theory was used to analyse the adoption of digital quality technologies related to surgical performance in Swedish hospitals. The case employs a mixed methods approach triangulating data longitudinally from published documents and expert interviews.

Adoption of digital technologies regarding surgical performance is restricted by system factors relating to inconsistent normative and regulatory requirements for quantified performance criteria to judge surgical expertise. Addressing these systems' weaknesses with evidence-based training programmes can have a significant impact on the further development of the innovation system and can ultimately affect healthcare reliability and quality.

This paper explores quality management (QM) challenges in the context of digital transformation in healthcare. The paper attempts to fill the gap for TIS studies in a healthcare context and highlight the role of innovation function strength along the value chain and in relation to technology cycles to increase the understanding of adoption of digital technologies relating to surgical performance.

Following large‐scale automation of the information functions within the NHS, a large number of new information‐related posts have been created. The role of the Healthcare Information Officer (HIO) is examined in relation to information provision, the development of information systems, staff supervision, training, liaison with other healthcare professionals; the organisation of libraries; and the Data Protection Act. The main conclusion reached is that, as information professionals, HIOs have a multi‐faceted role to play, with extremely wide‐ranging responsibilities which draw on knowledge and skills in the areas of information analysis, systems analysis, library and information science, and computing and management.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

The study aims to drive conceptual clarity around resistance to information technology projects, integrating multiple facets of the phenomenon from earlier studies.

The study conducts a meta-synthesis of qualitative studies on resistance to technology projects; it analyzes those studies at a case-specific level, compares and contrasts emergent concepts against each other, and “translates” those to the rest of the studies. The study uses the seven-step meta-ethnography method by Noblit and Hare to reciprocally translate emergent concepts to construct the conceptual model.

Through meta-synthesis, the study derives a new conceptual model for resistance to information technology projects, exemplifying how the identified antecedents create user resistance and how the phenomenon progresses within organizations.

This study enriches the observations and conclusions of past individual studies while explicating various facets of the mechanisms that generate and progress technology resistance within organizations. It offers fresh insights into the equivocal nature of the phenomenon and the distinctive ways it progresses from individual to group level.

Many ambitious and costly digital transformation efforts do not succeed due to user resistance. Understanding the mechanisms that create user resistance can help organizations manage technology projects better, thereby reducing the technology assimilation gap and protecting returns on related investments.

There have been extensive studies on technology acceptance (enablers) within organizations, while those relating to technology inhibitors are somewhat limited. However, the symmetry of understanding between enablers and inhibitors is vital for organizations to assimilate promising technologies and transform their business models. This model uses a new lens of sensemaking theory to explain how the antecedents trigger perceived threats and resistance behavior; it highlights the nuances around the development of resistance within individuals and its progression to groups. The resultant model offers better generalizability in organizational contexts.