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Currently the healthcare industry in the US is not only contending with relentless pressures to lower costs while maintaining and increasing the quality of service but is also under a stringent timeline to become compliant with the health insurance, portability and accountability act (HIPAA) regulatory requirements. Robust healthcare information systems (HCIS) become critical to enabling healthcare organizations address these challenges. Hence, it becomes an imperative need that the information that is captured, generated and disseminated by these HCIS be of the highest possible integrity and quality as well as compliant with regulatory requirements. This paper addresses this need by proposing an integrative framework for HIPAA compliant, I*IQ HCIS. It bases this framework on an integration of the requirements for HIPAA compliance, the principles of information integrity, as well as the healthcare quality aims set forth by the Committee on the Quality of Healthcare in America.

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.

Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.

Consumer confusion is an emerging phenomenon of interest that significantly drives choice behaviour. Considering the dearth of scholarly focus on confusion faced by consumers in a healthcare setting, this paper aims to conceptualize and validate a patient confusion model consisting of its drivers and outcomes.

Drawing upon adaptive decision-making framework and consumer confusion literature, patient confusion model has been developed. Empirical data of 310 patients from three private sector hospitals in India was collected through pen and paper survey administration. The hypothesized patient confusion model was tested using partial least squares structural equation modelling (PLS-SEM) to derive confirmatory results.

The results confirm the role of decision-making variables such as information overload, information similarity, information ambiguity, information asymmetry, patient involvement and physician-patient communication in the occurrence of patient confusion. A significant impact of confusion on switching intention was also confirmed, providing insights for healthcare managers.

The effect of confusion on switching intention of consumers found through the present study holds significant implications from a healthcare management standpoint. Dissemination of credible information, improved communication between doctors and patients and creation of organized channels of health information provision also represent some of the notable implications for healthcare managers to mitigate patient confusion.

This study presents an empirically validated model of patient confusion creating a research agenda for theory development in this emerging area. Consumer confusion represents a core consumer behaviour problem that is of utmost significance in the healthcare sector. This paper is one of the first and early attempts to address this research problem.

The paper aims to investigate the most influential social media information sources to trust in healthcare facilities. The article shows a valuable point of reference for understanding how social media becomes the casting of social capital.

This paper has taken 660 responses from the people who used social media for healthcare information in the mid of 2020 during the pandemic. The people were approached through different social media groups. The paper conducted structural equation modelling (SEM). The result has shown that with the instigating power of social capital where people put trust in social media information during pandemics.

The findings demonstrated that personal sources, government organisations and healthcare professionals are the most influential sources of social media. In order to effectively ensure the encompassing provision of COVID-19 health services, this article argues that social capital considerations establish trust between healthcare facilities seeking community to healthcare information providers.

This research has signified that social cohesion and concern for community welfare instigated people to engage in social media communication. The inherent social capital belongings influence people to trust the sources of health information from selected sources that appear on social media.

Healthcare policymakers may utilise this intense feeling of belongingness and cohesion of social capital and use social media platforms to spread health-related information.

The study shows social capital has the strength to entice people into healthcare-seeking behaviour. In this era, social capital is reformulated to digital social capital through social media and strongly affects people's trust.

Current health care quality performance indicators appear to be inadequate to inform the public to make the right choices. The aim of this paper is to define a framework and an organizational setting in which valid and reliable healthcare information can be produced to inform the general public about healthcare quality.

To improve health care quality information, the paper explores the analogy between financial accounting, which aims to produce valid and reliable information to support companies informing their shareholders and stakeholders, and healthcare aiming to inform future patients about healthcare quality. Based on this analogy, the authors suggest a measurement framework and an organizational setting to produce healthcare information.

The authors suggest a five‐quality element framework to structure quality reporting. The authors also indicate the best way to report each type of quality, comparing performance indicators with certification/accreditation. Health gain is the most relevant quality indicator to inform the public, but this information is the most difficult to obtain. Finally, the organizational setting, comparable to financial accounting, required to provide valid, reliable and objective information on healthcare quality is described.

Framework elements should be tested in quantitative studies or case studies, such as a performance indicator's relative value compared to accreditation/ certification. There are, however, elements that can be implemented right away such as third party validation of healthcare information produced by healthcare institutions.

Given the money spent on healthcare worldwide, valid and reliable healthcare quality information's value can never be overestimated. It can justify delivering “expensive” healthcare, but also points the way to savings by stopping useless healthcare. Valid and reliable information puts the patient in the driver's seat and enables him or her to make the right decision when choosing their healthcare provider.

Immigrants, asylum seekers and refugees living in Europe face a number of challenges in accessing or using health information and healthcare services available in their host countries. To resolve these issues and deliver the necessary services, providers must take a comprehensive approach to better understand the types of health information and healthcare services that these individuals need, seek and use. Therefore, the purpose of this paper is to develop that comprehensive approach.

In this paper, a systematic literature review of peer-reviewed publications was performed, with 3.013 articles collected from various databases. A total of 57 qualifying papers on studies conducted in Europe were included in the review after applying the predefined inclusion and exclusion requirements, screening processes and eliminating duplicates. The information seeking and communication model (ISCM) was used in the analysis.

The findings revealed that while many health information and healthcare services are accessible in Europe for immigrants, asylum seekers and refugees, many of these individuals are unaware of their existence or how to access them. While our findings do not specify what health-related information these groups need, use or seek, they do suggest the importance and value of providing mental health, sexual health and HIV, as well as pregnancy and childbirth information and services. Furthermore, according to our results, health information services should be fact-based, easy to understand and raise awareness about healthcare structure and services available in Europe for this vulnerable population.

This study has a range of practical implications, including (1) highlighting the need for mental health and behavioural health services and (2) stressing the value of addressing cultural context and religious values while investigating (health) information seeking of people with foreign background.

This is one of the first studies to systematically review and examine the behaviour of immigrants, asylum seekers and refugees in relation to health information and healthcare services in the European context.

Modern e‐health systems incorporate different healthcare providers in one system and provide an electronic platform to share medical information efficiently. In cross‐context communications between healthcare providers, the same information can be interpreted as different types or values, so that one patient will be issued different identifiers by different healthcare providers. This paper aims to provide a solution to ensure interoperability so that multiple healthcare providers will be able to collaborate in one e‐health system.

This paper primarily focuses on how different healthcare providers, instead of the patients, are able to interact and share information on a common e‐health platform.

In the course of the work, it was found that previous e‐health solutions mainly have a limited view of patient information, where a user‐centric approach for identity management is usually restricted to a single healthcare provider. Interoperability in an e‐health system becomes more problematic when more actors collaborate, and hence linkability from one context to another should not be straightforward. However, some form of linkability, such as the possibility to follow up a patient's medical treatment, is desirable in the e‐health sector, even when it needs to cross different contexts. Therefore, the authors have designed an identity management mechanism to ensure semantic interoperability when data is exchanged among different authorized healthcare providers.

The paper points out that the next generation of e‐health will move towards federated e‐health and will require user‐centricity and transparency properties so that patients are able to specify and verify the disclosure of their medical information.

This paper proposes a new service for cross‐context identity management in e‐health systems, improving interoperability between agencies when context‐specific information is transferred from one healthcare provider to another. How the proposed cross‐context identity management service can be integrated in an e‐health system is explained with a use case scenario.

This paper provides an overview of the range and development of health informatics, with examples from the literature world wide covering the types of information involved, the areas of application, the impact of evidence based medicine and other professional issues, integrated information systems, and the needs of the public, patients and their carers. While medical informatics certainly comprises a major part of health informatics it is not the main focus of this paper. Medical informatics is the older term and involves the use of information technology and computing specifically for medical science research, and the diagnosis and treatment of disease involving, for example, X‐rays, imaging, resonance, and magnetic scanning techniques. Rather, the scope of this review is the literature relating to the wider concept of the management of information through the interdisciplinary application of information science and technology for the benefit of patients, scientists, managers, staff, and carers involved in the whole range of healthcare activity.

Healthcare is among the fastest‐growing sectors in both developed and emerging economies. E‐healthcare is contributing to the explosive growth within this industry by utilizing the internet and all its capabilities to support its stakeholders with information searches and communication processes. The purpose of this paper is to present the state‐of‐the‐art and to identify key themes in research on e‐healthcare.

A review of the literature in the marketing and management of e‐healthcare was conducted to determine the major themes pertinent to e‐healthcare research as well as the commonalities and differences within these themes.

Based on the literature review, the five major themes of e‐healthcare research identified are: cost savings; virtual networking; electronic medical records; source credibility and privacy concerns; and physician‐patient relationships.

Based on these major themes, managerial implications for e‐healthcare are formulated. Suggestions are offered to facilitate healthcare service organizations' attempts to further implement and properly utilize e‐healthcare in their facilities. These propositions will also help these stakeholders develop and streamline their e‐healthcare processes already in use. E‐healthcare systems enable firms to improve efficiency, to reduce costs, and to facilitate the coordination of care across multiple facilities.