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Blockchain technology enhances information management in healthcare supply chains by securing healthcare information and providing medical resource traceability. However, there is no decision framework to support blockchain implementation for managing information, especially in emerging economies’ healthcare supply chains. This paper develops a hierarchical decision model for implementing blockchain technology for information management in emerging economies’ healthcare supply chains.

This study uses 20 health supply chain experts in Ghana to rank 17 decision criteria for implementing blockchain for healthcare information management using the best-worst method (BWM) multi-criteria decision technique.

The results show that “security” and “privacy,” “infrastructural facility” and “presence of training facilities” are the top three critical factors impacting blockchain adoption in the health supply chain for healthcare information management. Other sub-factors are prioritized.

To implement blockchain effectively to enhance information management in the healthcare supply chain, health institutions, blockchain technology providers and state authorities should concentrate on the highly critical factors extracted from the study.

This is the first study that develops a hierarchical decision model for implementing blockchain technology in emerging economies' health supply chains.

The primary purpose of this paper is to investigate the healthcare organization’s intention to use radio frequency identification (RFID) technology for improving efficiency. This paper also intends to identify various factors that influence the adoption of RFID in the healthcare organization. This paper develops and tests seven different hypotheses. These hypotheses are tested using structural equation modeling. Our results provide support for a number of relationships in the hypothesized model. These include direct relationships among the factors risk, resistance to change, supplier support and the factor perceived usefulness. However, the study did not find support for the relationship between the factors perceived ease of use and intention to use. The results provide support for several indirect relationships as well. These include indirect relationships between the factors perceived resistance to change, risk, suppliers’ support and perceived ease of use with the factor intention to adopt RFID technology in the healthcare organization. This research is grounded in the theory of reasoned action and applies the technology acceptance model (TAM) to the healthcare organization’s intention to use RFID technology.

This paper advances a research agenda for service researchers at the intersection of healthcare and information technologies to improve access to quality healthcare at affordable prices. The article reviews key trends to provide an agenda for research focusing on strategies, governance and management of key service processes.

This paper synthesizes literature in information systems, service management, marketing and healthcare operations to suggest a research agenda. The authors draw on frameworks such as the interpretive model of technology, technology acceptance model, assemblage theories and Baumol's cost disease to develop their arguments.

The paper situates strategy-related service management questions that service providers and consumers face in the context of emerging healthcare and technology trends. It also derives implications for governance choices and questions related to that.

The paper discusses service management challenges and concludes with an agenda for future research that touches on governance and service management issues.

This paper provides implications for healthcare service providers and policymakers to understand new trends in healthcare delivery, technologies and facilities management to meet evolving customer needs.

This paper provides implications for managing healthcare services that touch on many social and societal concerns.

This conceptual paper provides background and review of the work at the intersections of information systems, marketing and healthcare operations to draw implications for future research.

The purpose of this article is to present a conceptual model that posits the strategic relationships between information technology, clinic operations and physicians and the subsequent outcomes to patients, physicians and clinics which can lead to competitive advantages in the healthcare environment.

This paper is based on a review of the literature and proposes a conceptual model of the strategic relationships essential for success. The scope of the paper is based on the legal, economic and political triggers impacting the strategic relationship between electronic medical records, clinic interoperability and physicians as owners/users.

The paper presents the formation of a conceptual model which identifies the strategic alignment between clinics, physicians and information technology, more specifically, electronic medical records.

This paper is limited in that it is not an empirical investigation but a conceptual model of future research endeavours. Future research endeavours should seek empirical findings related to the relationships proposed in the model.

Physicians, clinics and patients should be aware of the impact electronic medical records have on the health environment as well as the potential competitiveness due to health consumerism enabled by electronic medical records.

Electronic medical records, personal health records and electronic health records are infiltrating society; subsequently health consumers should determine how this technology may impact their healthcare.

The value of this paper is to provide a conceptual model as a basis for future empirical research and awareness of changes in the competitiveness of the healthcare environment.

This paper proposes the adoption of Industry 4.0 (I4) technologies and lean techniques for improving operational performance in the healthcare sector.

The research adopted a systematic literature review and feedback of healthcare professionals to identify the inefficiencies in the current healthcare system. A questionnaire was used to get feedback from the patients and the hospital staff about the current practices and issues, and the expected impact of technology on existing practices. Data were analysed using descriptive statistics, correlation analysis and multiple regression analysis.

The results indicate that I4 technologies lead to the improvement of the operational performance, and the perceptions about I4 technologies are made through the pre-medical diagnosis. However, a weak correlation between lean practices and healthcare operational performance compared to that of I4 technologies and operational performance indicate that lean practices are not fully implemented in the Sri Lankan healthcare sector to their full potential.

This study is limited to two government hospitals, with insights from only the doctors and nurses in Sri Lanka. Furthermore, the study is limited to only selected aspects of I4 technologies (big data, cloud computing and IoT) and lean concepts (value stream mapping and 5S). Therefore, recommendations on the adoption of I4 technologies in the healthcare sector need to be made within the scope of the study investigation.

The implementation of I4 technologies needs careful consideration of process improvement as part of the overall plan for achieving the maximum benefits of technology adoption.

The findings of the research can be used as a benchmark/guide for other hospitals to explore the adoption of I4 technologies, and how process improvement from lean concepts could influence the overall operational performance.

Although resilience is heavily studied in both the healthcare and organizational change literatures, it has received less attention in healthcare information technology (HIT) implementation research. Healthcare organizations are consistently in the process of implementing and updating several complex technologies. Implementations and updates are challenged because healthcare workers often struggle to perceive the benefits of HITs and experience deficiencies in system design, yet bear the brunt of the blame for implementation failures. This combination implores healthcare workers to exercise HIT resilience; however, how they talk about this construct has been left unexplored. Subsequently, this study explores healthcare workers' communicative constitution of HIT resilience.

Twenty-three physicians (N = 23), specializing in oncology, pediatrics or anesthesiology, were recruited from one healthcare organization to participate in comprehensive interviews during and after the implementation of an updated HIT system DIPS.

Thematic analysis findings reveal physicians communicatively constituted HIT resilience as their (1) convictions in the continued, positive developments of newer HIT iterations, which marked their current adaptive HIT behaviors as temporary, and (2) contributions to inter-organizational HIT brainstorming projects in which HIT designers, IT staff and clinicians jointly problem-solved current HIT inadequacies and created new HIT features.

Offering both practical for healthcare leaders and managers and theoretical implications for HIT and resilience scholars, this study's results suggest that (1) healthcare leaders must work diligently to create a culture of collaborative HIT design in their organization to help facilitate the success of new HIT use, and (2) information technology scholars reevaluate the theoretical meaningfulness a technology's spirit and reconsider the causal nature of a technology's embedded structures.

The purpose of this paper is to examine how pregnant women with type 1 diabetes integrate new information technology (IT) into their health management activities, using activity theory as an analytical framework.

The research is a multiple case design, based on interviews with 15 women with type 1 diabetes who were pregnant, considering pregnancy, or had recently given birth. A thematic analysis, sensitised by activity theory, was used to analyse the data.

Health management in this setting involves negotiations and contradictions across boundaries of interacting activities. Participants play an active role in managing their health and using new IT tools in particular ways to support their health management. Using new technologies creates both opportunities and challenges. IT-enabled healthcare devices and other information systems open up new treatment possibilities, but also generate new contradictions between interacting activity systems.

The research was conducted with a small sample in a specific context of health management. Further research is needed to extend the findings to other contexts.

Healthcare providers need to accommodate a bottom-up approach to the adoption and use of new technologies in settings where empowered patients play an active role in managing their health.

The findings highlight opportunities to further develop activity theory to accommodate the central role that individuals play in resolving inherent contradictions and achieving alignment between multiple interacting activity systems when incorporating new IT tools into health management activities.

Digital healthcare once again emerges due to pandemic (Covid-19). Digital healthcare can be minimising the issue of accessibility, availability, accuracy and affordability of healthcare service during a pandemic. Digital healthcare playsa significant role to provide healthcare equity during the pandemic. This article presents the current trends and scenario of digital healthcare with a focus on health equity. The main objective of this chapter is to review the four aces of health equity in the digital healthcare literature. The scope and challenges faced by the policymakers to implementation of digital healthcare to improve health equity. This chapter considers the hybrid literature review based on the bibliometric and the systematic literature based on the various theme, sub-theme, concept and context-related health equity through digital healthcare. This study provides the previous and current research trends and preposition for the future researcher, healthcare professional, policymakers and digital healthcare innovators to invent the tool which leads the health equity through the digital healthcare in the healthcare.

The purpose of this study was to evaluate the status of US hospital Laboratory Information Systems. Laboratory Information Systems are critical to high quality healthcare service provision. Data show that the need for these systems is growing to meet accompanying technological and workload demands. Additionally, laboratory tests provide the majority of information for clinical decision‐making. Laboratory processes automation, including patient result verification, has greatly improved laboratory test throughput while decreasing turn‐around‐times, enabling critical results to reach physicians rapidly for improved clinical outcomes.

Data were drawn from the 2007 Healthcare Information and Management Systems Society (HIMSS) Analytics Database, which includes over 5,000 US healthcare organizations and provides extensive data on the hardware, software, and information technology infrastructure within healthcare organizations.

US hospitals are actively involved in laboratory systems planning to improve health service quality. Specifically, data show 76 new laboratory information systems are currently being installed in 2007 with another 399 under contract for future installation. As a result, increasing investment in laboratory information systems is providing state‐of‐the‐art clinical laboratory support, which enhances clinical care processes and improves quality. These state‐of‐the‐art Laboratory Information Systems, when linked with other clinical information systems such as Computerized Physician Order Entry and Electronic Medical Record, will support further healthcare quality improvement.

This article includes the most current information available on the US hospital laboratory information system applications.

The purpose of the study is to investigate critical factors affecting individuals’ intention to adopt internet of things (IoT) products in healthcare.

An integrated model was developed based on technology acceptance model (TAM), innovation diffusion theory (IDT), technological innovativeness (TI), protection motivation theory and privacy calculus theory. The model was tested with 426 respondents (222 females, 204 males) using partial least square structural equation model with all data grouped by gender.

Based on the results of the complete model, perceived advantage (PA), image and perceived ease of use (PEOU) constructs have a significant effect on intention to adopt IoT healthcare technology products. The results show that for females, compatibility and trialability have more impact on PEOU whereas for males PA has more impact on PEOU. Image, perceived privacy risk, perceived vulnerability have more impact on males when compared to females.

Research conducted only among Turkish people.

This study investigated adoption of future technology, “internet of things”, products in healthcare from a behavioral perspective by integrating various theories. The reason is that before launching any technology into the market, its facilitative factors should be researched for the people who are going to use this in their daily routine.