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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.

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.

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.

The aim of this paper is to analyse how technological innovations in performance measurement systems make it possible to overcome some of the challenges that public healthcare organizations face where management and control are concerned. The changes that could be applied to the performance measurement system of healthcare organisations were analysed together with an evaluation of the responses developed in order to achieve these changes.

The paper contains an in-depth case-study of a public university hospital which utilises an innovative information system.

The case-study highlights how technological innovations in performance measurement systems impact the management and monitoring information system in a public university hospital, through the implementation of a multidimensional management dashboard.

The limitation of this paper is that only one case-study is analysed, albeit in depth, while it would be interesting to consider more public university hospitals.

The paper highlights the fundamental role of middle management in change processes in the healthcare sector.

The case-study highlights how critical the active involvement of middle management is in performance measurement and management, and how this is achieved thanks to the adoption of a simple, clear method which ensures comprehensible communication of the objectives, as well as the measurement of performance by means of radar plots.

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.

Purpose – The core theme of this paper is that, to provide the best kind of process systems to support a “quality” healthcare provider, it is essential to “engineer‐in” quality as early as possible – effectively at the specification and design phase. It extends to the healthcare context a novel approach, which provides a transparent model of how an envisioned structure delivers services and fulfils stakeholders' needs. Design/methodology/approach – In the paper a new construct, developed by the authors, is described and then extended to the healthcare sector. The underpinning theories of the new construct are discussed and examples for a health care service are presented. Findings – The paper finds that there is a full literature on quality and TQM, but relatively little offers practical tools for supporting design and implementation processes that enhance the likelihood of achieving quality operations. The presentation and discussion of the construct presented argue that the approach presented here can achieve this aim. Practical implications – In the paper, as with many ventures, organisations charged with healthcare delivery are presently facing the dual challenges of seeking to satisfy widely extended stakeholder groups and implement complex ICT systems to support e‐fulfilment. To ensure that quality is “engineered‐in”, a holistic, integrated and quality approach is required, and Total Quality Management (TQM) principles are the obvious foundations for this. Originality/value – The paper shows that electronically delivered information and funds transaction systems do offer healthcare organisations great potential, but many large integrated ICT systems have notoriously disappointed the stakeholder health care service. An integrative view of the delivery system design, based on the literature from strategic management, business process design, e‐business design, and TQM, has yielded a unique construct, which integrates these views in a transparent model readily accessible to the various domain experts. The specific role of this in healthcare fulfilment system design applications is demonstrated.

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.

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.

Information systems play a significant role in the improving of health and healthcare, as well as in the planning and financing of health services. Fund’s Information System is an essential component of the information infrastructure that allows assessment of the impact of changes in health insurance and healthcare for the population. The purpose of this paper is to give a brief overview of the affection of e-services and electronic data exchange (between Fund’s information systems and other IT systems) at the quality of service for insured people and savings funds.

The authors opted for an exploratory study using the e-services implemented in Health Insurance Fund (HIF) of Macedonia and data which were complemented by documentary analysis, including brand documents and descriptions of internal processes. In this paper is presented an analysis of the financial aspects of some e-services in HIF of Macedonia by using computer-based information systems and calculating the financial implications on insured people, companies and healthcare providers.

The analysis conducted in this paper shows that the HIF’s e-services would have a positive impact for the insured people, healthcare providers and companies when fulfilling their administrative obligations and exercising their rights.

The analysis presented in this paper can serve as a valuable input for the healthcare authorities in making decisions related to introducing e-services in healthcare. These enhanced e-services will improve the quality service of the HIF.

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.