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PubMed2000

Technology architecture guidelines for a health care system.

Although the demand for use of information technology within the healthcare industry is intensifying, relatively little has been written about guidelines to optimize IT investments. A technology architecture is a set of guidelines for technology integration within an enterprise. The architecture is a critical tool in the effort to control information technology (IT) operating costs by constraining the number of technologies supported. A well-designed architecture is also an important aid to integrating disparate applications, data stores and networks. The authors led the development of a thorough, carefully designed technology architecture for a large and rapidly growing health care system. The purpose and design criteria are described, as well as the process for gaining consensus and disseminating the architecture. In addition, the processes for using, maintaining, and handling exceptions are described. The technology architecture is extremely valuable to health care organizations both in controlling costs and promoting integration.

Computer Systems↗
PubMed2001

Evaluating informatics applications--clinical decision support systems literature review.

This paper reviews clinical decision support systems (CDSS) literature, with a focus on evaluation. The literature indicates a general consensus that clinical decision support systems are thought to have the potential to improve care. Evidence is more equivocal for guidelines and for systems to aid physicians with diagnosis. There also is general consensus that a variety of systems are little used despite demonstrated or potential benefits. In the evaluation literature, the main emphasis is on how clinical performance changes. Most studies use an experimental or randomized controlled clinical trials design (RCT) to assess system performance or to focus on changes in clinical performance that could affect patient care. Few studies involve field tests of a CDSS and almost none use a naturalistic design in routine clinical settings with real patients. In addition, there is little theoretical discussion, although papers are permeated by a rationalist perspective that excludes contextual issues related to how and why systems are used. The studies mostly concern physicians rather than other clinicians. Further, CDSS evaluation studies appear to be insulated from evaluations of other informatics applications. Consequently, there is a lack of information useful for understanding why CDSSs may or may not be effective, resulting in making less informed decisions about these technologies and, by extension, other medical informatics applications.

Decision Support Systems, Clinical↗
PubMed1999

An approach to policy analysis and development of medical informatics.

There are three grand challenges for medical informatics policy: (1) What is it? (2) What should it be? (3) How can we influence its development? To address these challenges requires: (1) an historical analysis of medical informatics policies in a representative sample of countries. This should include an account of major events, the roles of technology, individuals, culture and social settings. Pioneers have been led by visions of what medical informatics should achieve. The role of these visions and the reactions to unmet expectations thus also need to be analysed; (2) a generally applicable medical informatics policy that places the needs of its stakeholders and clients first. Top priorities are to support quality health care delivery and quality management of health care facilities; (3) an explanation of how policies in medical informatics are created and implemented together with a strategy to guide medical informatics professionals in their lobbying efforts.

Humans↗
PubMed2001

Side effects and responsibility of medical informatics.

Medical informatics systems have the ultimate goal to improve the quality of health care. However, these systems have also the potential to compromise the quality of health care if they are misused, intrinsically faulty or entail unexpected side effects. The purpose of the paper is to discuss examples from the experience of the author, where well-intended medical informatic applications proved to have potentially harmful effects or side effects. It is argued that medical informaticians (MI) have an extended professional responsibility, which covers not only the state of the art technical planning, an implementation of information processing systems in medicine, but also the final result for the patient. In order to discuss professional duties of medical informaticians, a modification of the Software Engineering Code of Ethics and Professional Practice developed by ACM/IEEE is proposed as a guideline. For several examples, these guidelines are used to analyze possible actions and professional responsibility.

Delivery of Health Care↗
PubMedDate not supplied

Benefits of an object-oriented database representation for controlled medical terminologies.

OBJECTIVE: Controlled medical terminologies (CMTs) have been recognized as important tools in a variety of medical informatics applications, ranging from patient-record systems to decision-support systems. Controlled medical terminologies are typically organized in semantic network structures consisting of tens to hundreds of thousands of concepts. This overwhelming size and complexity can be a serious barrier to their maintenance and widespread utilization. The authors propose the use of object-oriented databases to address the problems posed by the extensive scope and high complexity of most CMTs for maintenance personnel and general users alike. DESIGN: The authors present a methodology that allows an existing CMT, modeled as a semantic network, to be represented as an equivalent object-oriented database. Such a representation is called an object-oriented health care terminology repository (OOHTR). RESULTS: The major benefit of an OOHTR is its schema, which provides an important layer of structural abstraction. Using the high-level view of a CMT afforded by the schema, one can gain insight into the CMT's overarching organization and begin to better comprehend it. The authors' methodology is applied to the Medical Entities Dictionary (MED), a large CMT developed at Columbia-Presbyterian Medical Center. Examples of how the OOHTR schema facilitated updating, correcting, and improving the design of the MED are presented. CONCLUSION: The OOHTR schema can serve as an important abstraction mechanism for enhancing comprehension of a large CMT, and thus promotes its usability.

Classification↗
PubMed1998

A concept model for the automatic maintenance of controlled medical vocabularies.

A controlled medical vocabulary is a fundamental requirement in a range of medical informatics applications. Large vocabularies development and maintenance is labor intensive and costly. Maintainers of medical vocabularies need appropriate tools to do their work correctly. In this paper, we describe our concept model for a controlled medical vocabulary. We present how this model can check vocabulary consistency. We propose a set of tools in a distributed environment, which permits edition, visualization and maintenance of medical terminologies.

Humans↗
PubMed2005

What is eHealth (4): a scoping exercise to map the field.

BACKGROUND: Lack of consensus on the meaning of eHealth has led to uncertainty among academics, policymakers, providers and consumers. This project was commissioned in light of the rising profile of eHealth on the international policy agenda and the emerging UK National Programme for Information Technology (now called Connecting for Health) and related developments in the UK National Health Service. OBJECTIVES: To map the emergence and scope of eHealth as a topic and to identify its place within the wider health informatics field, as part of a larger review of research and expert analysis pertaining to current evidence, best practice and future trends. METHODS: Multiple databases of scientific abstracts were explored in a nonsystematic fashion to assess the presence of eHealth or conceptually related terms within their taxonomies, to identify journals in which articles explicitly referring to eHealth are contained and the topics covered, and to identify published definitions of the concept. The databases were Medline (PubMed), the Cumulative Index of Nursing and Allied Health Literature (CINAHL), the Science Citation Index (SCI), the Social Science Citation Index (SSCI), the Cochrane Database (including Dare, Central, NHS Economic Evaluation Database [NHS EED], Health Technology Assessment [HTA] database, NHS EED bibliographic) and ISTP (now known as ISI proceedings). We used the search query, "Ehealth OR e-health OR e*health". The timeframe searched was 1997-2003, although some analyses contain data emerging subsequent to this period. This was supplemented by iterative searches of Web-based sources, such as commercial and policy reports, research commissioning programmes and electronic news pages. Definitions extracted from both searches were thematically analyzed and compared in order to assess conceptual heterogeneity. RESULTS: The term eHealth only came into use in the year 2000, but has since become widely prevalent. The scope of the topic was not immediately discernable from that of the wider health informatics field, for which over 320000 publications are listed in Medline alone, and it is not explicitly represented within the existing Medical Subject Headings (MeSH) taxonomy. Applying eHealth as narrative search term to multiple databases yielded 387 relevant articles, distributed across 154 different journals, most commonly related to information technology and telemedicine, but extending to such areas as law. Most eHealth articles are represented on Medline. Definitions of eHealth vary with respect to the functions, stakeholders, contexts and theoretical issues targeted. Most encompass a broad range of medical informatics applications either specified (eg, decision support, consumer health information) or presented in more general terms (eg, to manage, arrange or deliver health care). However the majority emphasize the communicative functions of eHealth and specify the use of networked digital technologies, primarily the Internet, thus differentiating eHealth from the field of medical informatics. While some definitions explicitly target health professionals or patients, most encompass applications for all stakeholder groups. The nature of the scientific and broader literature pertaining to eHealth closely reflects these conceptualizations. CONCLUSIONS: We surmise that the field -- as it stands today -- may be characterized by the global definitions suggested by Eysenbach and Eng.

Delivery of Health Care↗
PubMed2003

Medical informatics in the intensive care unit: overview of technology assessment.

Effective patient care in the intensive care unit (ICU) depends on the ability of clinicians to process large amounts of clinical and laboratory data. Recently, medical informatics applications have been developed to store and display patient information and assist clinical decision making. Despite the proliferation of these systems and their potential to improve patient care, there are no comprehensive health technology assessments incorporating considerations of safety, functionality, technical performance, clinical effectiveness, economics, and organizational implications. The objectives and methods of informatics evaluations depend on the type of application and the stage of development. Qualitative and quantitative nonrandomized evaluations of comprehensive information management systems like electronic medical records and picture archiving and communications systems should concentrate on technical and functional issues. Specific applications like clinical decision support systems and computerized patient care systems are designed to improve patient outcomes and clinical performance; randomized controlled trials (RCTs) to assess clinical effectiveness are important in their assessment. Although studies of these applications in the ICU setting are increasing, there are currently very few published randomized trials.

Decision Support Systems, Clinical↗
PubMed1995

Physician's information customizer (PIC): using a shareable user model to filter the medical literature.

The practice of medicine is information-intensive. From reviewing the literature to formulating therapeutic plans, each physician handles information differently. Yet rarely does a representation of the user's information needs and preferences--a user model--get incorporated into information management tools, even though we might reasonably expect better acceptance and effectiveness if the tools' presentation and processing were customized to the user. We developed the Physician's Information Customizer (PIC), which generates a shareable user model that can be used in any medical information-management application. PIC elicits the stable, long-term attributes of a physician through simple questions about her specialty, research focus, areas of interest, patient characteristics (e.g., ages), and practice locale. To show the utility of this user model in customizing a medical informatics application, PIC custom-filters and ranks articles from Medline, using the user model to determine what would be most interesting to the user. Preliminary evaluation on all 99 unselected articles from a recent issue of six prominent medical journals shows that PIC ranks 66% of the articles as the user would. This demonstrates the feasibility of using easily acquired physician attributes to develop a user model that can successfully filter articles of interest from a large undifferentiated collection. Further testing and development is required to optimize the custom filter and to determine which characteristics should be included in the shareable user model and which should be obtained by individual applications.

Algorithms↗
PubMed1989

On medical informatics.

This paper summarizes the author's point of view of defining medical informatics, to stimulate further discussions on how this "newly emerging discipline" should further proceed. We realize that the term "informatics" is related rather to the term "information science" than to "computer science". Accordingly, medical informatics deals with the systematic processing of information in medicine. Many information systems in medicine are interrelated and can hardly be regarded as independent systems. As a result, medicine becomes gradually more an "empirical science of extreme complexity". Because of its complexity and wide range of applications, medical informatics should be considered as a separate discipline, its aim being to contribute to the systematic processing of information in medicine. The contribution of medical informatics should be a better understanding of the human being and means for the provision of high quality patient care.

Electronic Data Processing↗
PubMed2002

XML-based synchronization of mobile medical devices.

Today, mobile computing provides enough resources to be used in medical applications. Patient treatment is a process that involves multiple partners. All those partners need access to common patient-data and need to make changes to the patients' health record. Therefore, data that the partners collect and change with mobile devices has to be synchronized on a central server to form the master patient record. Data conflicts resulting from the synchronization have to be solved automatically. Our project describes a solution for XML-based data replication and synchronization for mobile health applications.

Computers, Handheld↗
PubMedDate not supplied

Personal data assistants: using new technology to enhance nursing practice.

This article explains how the new technology of personal data assistants can be used to enhance and augment comprehensive nursing care. Nurses are constantly challenged in their need for current, reliable, and accurate information at the point of patient care. Professional books and journals, by the very nature of their print format, have been prepared long before they can be actually used in practice. More current information is available from the World Wide Web, but it is often impractical for a nurse to access a computer during a patient encounter. Personal data assistants [PDAs] allow clinicians to access and document absolutely current information at the moment the patient is being seen. There are many general applications for PDAs that nurses might use such as keeping electronic calendars, address books, and reminder lists. In addition, however, there are even more actual healthcare applications, including patient tracking systems, access to pharmacologic databases, and a variety of clinical decision-making support tools. This article describes the wide variety of PDAs, along with the factors a nurse should consider in the decision of whether to purchase a PDA, and which type of device is best suited for which application.

Decision Support Systems, Clinical↗
PubMed2000

An end-to-end secure patient information access card system.

The rapid development of the Internet and the increasing interest in Internet-based solutions has promoted the idea of creating Internet-based health information applications. This will force a change in the role of IC cards in healthcare card systems from a data carrier to an access key medium. At the Medical Informatics Department of Kyoto University Hospital we are developing a smart card patient information project where patient databases are accessed via the Internet. Strong end-to-end data encryption is performed via Secure Socket Layers, transparent to transmit patient information. The smart card is playing the crucial role of access key to the database: user authentication is performed internally without ever revealing the actual key. For easy acceptance by healthcare professionals, the user interface is integrated as a plug-in for two familiar Web browsers, Netscape Navigator and MS Internet Explorer.

Computer Security↗