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Improving the quality of care and reducing health care costs through a point-of-service health care information system.

Health care information systems will become critical to the success of health care providers. These systems must make the process of health care delivery more effective and more efficient, assisting the provider in improving the quality of care while maximizing cost reduction through more appropriate care and reduction in administrative costs. The system must be able to capture accurate encounter data for outcomes analyses and capable of use by multiple health plans for their unique policies or programs such as disease management. The most effective means of achieving all of the above will be to re-empower the physicians through software placed in a mobile computing environment with full integration among all participants.

Ambulatory Care Information Systems↗

NCTR computer systems designed for toxicologic experimentation. III. Breeding information system.

The Breeding Information System (BIS) facilitates management control of the breeding colony operation at the National Center for Toxicological Research (NCTR). Although this automated data handling system was initially intended to support Animal Husbandry the system's basic design, flexibility or reporting, data manipulation capabilities, and integration with other NCTR data collection systems provides BIS with capabilities that have application to other groups including the Plans and Programs and most scientific areas. This description of the System is in terms of its potential value to these diverse user groups.

Animal Husbandry↗

Fast choice of separation conditions for analyses by capillary zone electrophoresis using an information system Xemic.

An information system Xemic applicable in analytical chemistry is described and its use in capillary electrophoresis for searching suitable separation conditions is demonstrated. This system is capable to provide suitable separation conditions even for analytes for which no electrophoretic experiments have been published so far. The system works with a database of components of anionic character the analyses of which have been performed, published in reviewed scientific journals, and included into a database created by an expert. Moreover, the system learned to search also in abstracts or complete scientific articles to find articles dealing with the determination of a substance in a given sample matrix. When no experiments have been published so far for a defined substance in a specific matrix, Xemic shows the separation conditions for determination of the substance regardless of the matrix. When no response can be found for the analyte of interest at all, the system Xemic works like an expert in the field and searches chemically similar substances and offers a series of substances the physicochemical properties of which are close to the followed analyte with respect to the behavior in the electric field, and shows working conditions for their analysis. Thus, the analyst puts only the order in the form of a given analyte in a given matrix and obtains a recommendation of a separation system that should enable to perform a successful separation. The system is not rigid and enables the operator to change the importance of individual attributes used in similarity search so as to obtain a broader or narrower group of similar components. With a certain probability the analyte of interest can be successfully analyzed under separation conditions that suited for the analysis of the most similar substances in the given matrix.

Computers↗

Bringing a WEB-based interface to a hospital information system.

The Hospital Information System at the MU Veterinary Medical Teaching Hospital is a "home-grown" system written in MUMPS. The system has a "roll-and-scroll" user interface typical of terminal based systems from the 1970s and early 1980s. We are now introducing a new user interface that uses World Wide Web technology (HTML forms). Computers connected to the hospital's intranet can access the hospital system using the Web browser of the user's choice. The new user interface can run in parallel with the older interface (even on the same computer), and uses the same underlying database. This allows a smooth migration to the new interface which minimizes both user and programmer anguish. User acceptance has been good, and the ease and speed of development has been very promising.

Animals↗

The CISQ: a tool to measure staff involvement in and attitudes toward the implementation of a clinical information system.

The Clinical Information System Questionnaire (CISQ-15) is a new 15-item tool designed to measure staff involvement in and attitudes towards CIS implementations. It was developed during a clinical trial which tested the effects of a combined managerial and IT intervention on staff attitudes and patient outcomes. The CISQ-15 appears to have high construct validity and internal consistency, although further studies are needed. Such studies are under way, and an expanded 36-item version, the CISQ-36, is now being evaluated.

Attitude of Health Personnel↗

Spatial analysis of lymphatic filariasis distribution in the Nile Delta in relation to some environmental variables using geographic information system technology.

Geographic information system (GIS) was used to analyze the spatial distribution of filariasis in the Nile Delta. The study involved 201 villages belonging to Giza, Qalubiya, Monoufiya, Gharbiya, and Dakahliya governorates. Villages with similar microfilarial (mf) prevalence rates were observed to cluster within 1-2 km distance, then, clustering started to decrease significantly with distance up to 5 km (Pearson correlation coefficient = -0.98). the likelihood of negative and high prevalence villages being contiguous was very low (approximately 1.8%, n = 612 village-pairs) indicating homogeneity in disease processes within the defined spatial scales. Of the villages located within 2 km from the main Nile branches (n = 46), 95% exhibited low prevalence. In addition, the spatial pattern of mf prevalence was shown to be negatively associated with annual rainfall and relative humidity, while it was positively associated with annual daily temperature. Average mf prevalence in warmer, relatively drier areas receiving 25 mm of rain was significantly higher (3.9%) than that in less warmer but more humid areas receiving 50 mm of rain (1.6%) (P < 0.0001). Based on the results of the present study, GIS was used to generate a "filariasis risk map" that could be used by health authorities to efficiently direct surveillance and control efforts. This investigation identified some of the factors underlying filariasis spatial pattern, quantified clustering and demonstrated the potential of GIS application in vector-borne disease epidemiology.

Animals↗

Specification of a reference model for the domain layer of a hospital information system.

OBJECTIVES: One of the tasks of information management is systematic planning of a Hospital Information System (HIS). However, the description and the analysis of the current state of a HIS typically create high costs and are not well supported. The aim of this paper is therefore to report about the specification of a reference model for the domain layer of a Hospital Information System. METHODS: We developed a reference model for the domain layer of a Hospital Information System based on the requirements index for information processing in hospitals for describing the enterprise functions, and based on the object types from the Health Level 7 Reference Information Model (HL7-RIM) for describing the entity types. RESULT: The developed reference model is a comprehensive hierarchic model of the enterprise functions of hospital information systems. The central enterprise function "patient treatment" for example is described with 35 enterprise functions and 38 entity types on a three-level hierarchy. DISCUSSION: Reference models provide a kind of modelling patterns that can easily be used and adapted to a respective Information System. The availability of reference models should therefore provide a highly valuable contribution to keep the costs for modelling Hospital Information Systems low. We will start to evaluate the reference model by using it in the description of the information systems of a University Clinic of the Tiroler Landeskrankenanstalten GmbH (TILAK), Austria. If this pre-test is positive, it is planned to extend the use of the reference model to the overall Hospital Information System of the TILAK.

Hospital Information Systems↗

[Data collection in anesthesia. Experiences with the inauguration of a new information system].

UNLABELLED: In many institutions information systems are used to process off-line anaesthesia data for invoices, statistical purposes, and quality assurance. Information systems are also increasingly being used to improve process control in order to reduce costs. Most of today's systems were created when information technology and working processes in anaesthesia were very different from those in use today. Thus, many institutions must now replace their computer systems but are probably not aware of how complex this change will be. Modern information systems mostly use client-server architecture and relational data bases. Substituting an old system with a new one is frequently a greater task than designing a system from scratch. This article gives the conclusions drawn from the experience obtained when a large departmental computer system is redesigned in an university hospital. METHODS: The new system was based on a client-server architecture and was developed by an external company without preceding conceptual analysis. Modules for patient, anaesthesia, surgical, and pain-service data were included. Data were analysed using a separate statistical package (RS/1 from Bolt Beranek), taking advantage of its powerful precompiled procedures. RESULTS: Development and introduction of the new system took much more time and effort than expected despite the use of modern software tools. Introduction of the new program required intensive user training despite the choice of modem graphic screen layouts. Automatic data-reading systems could not be used, as too many faults occurred and the effort for the user was too high. However, after the initial problems were solved the system turned out to be a powerful tool for quality control (both process and outcome quality), billing, and scheduling. The statistical analysis of the data resulted in meaningful and relevant conclusions. CONCLUSIONS: Before creating a new information system, the working processes have to be analysed and, if possible, made more efficient; a detailed programme specification must then be made. A servicing and maintenance contract should be drawn up before the order is given to a company. Time periods of equal duration have to be scheduled for defining, writing, testing and introducing the program. Modern client-server systems with relational data bases are by no means simpler to establish and maintain than previous mainframe systems with hierarchical data bases, and thus, experienced computer specialists need to be close at hand. We recommend collecting data only once for both statistics and quality control. To verify data quality, a system of random spot-sampling has to be established. Despite the large investments needed to build up such a system, we consider it a powerful tool for helping to solve the difficult daily problems of managing a surgical and anaesthesia unit.

Anesthesia↗

Information retrieval for pathology information systems.

In a medical information system there is a serious need for assessing patient information in various ways. There is also a need for summarizing information in simple statistical tabular form. In this part we present and evaluate different techniques for query formulation, such as: QBE (Query-by-Example), SQL (Structured Query Language), GCL (Graphical Query Language). We also present a query processor for use in a pathology information system. This software system incorporates: a) A semi graphical tree structure interface (SGTSI) for query formulation, and b) Summary tables handling.

Adult↗

The accuracy of clinical information systems.

The clinical information system (CIS) is becoming more common in intensive care units. These systems have the ability to record, store, and retrieve large amounts of clinical patient data with great ease. This should greatly facilitate outcomes research and quality assurance. Unfortunately, there is not much information available about the accuracy of the data coming from these systems. True accuracy of a patient record requires both completeness of data and correctness of data as well as legibility. Automated systems are clearly superior to human entered data in terms of completeness and legibility but the correctness of entered data remains unclear. There are aspects of automated data entry that facilitate erroneous data entry. This article reviews the existing literature on accuracy of CISs with special attention to the qualities of automated data entry that can lead to false data. Additionally, data are presented from a newly published study by the author evaluating the validity of data from a commercially available CIS.

Computers↗

Intranet technology in hospital information systems.

The clinical information system architecture at the Columbia-Presbyterian Medical Center in New York is being incorporated into an intranet using Internet and World Wide Web protocols. The result is an Enterprise-Wide Web which provides more flexibility for access to specific patient information and general medical knowledge. Critical aspects of the architecture include a central data repository and a vocabulary server. The new architecture provides ways of displaying patient information in summary, graphical, and multimedia forms. Using customized links called Infobuttons, we provide access to on-line information resources available on the World Wide Web. Our experience to date has raised a number of interesting issues about the use of this technology for health care systems.

Computer Security↗

Confronting 2000 and beyond: tomorrow's healthcare information system.

The promising healthcare information systems of tomorrow will be founded on strategies and technology that is already available today. In this article, Tim K. Zinn examines the information systems of the future, as well as the developments that will make such systems a reality.

Forecasting↗

Using information systems to improve practice.

Information systems are becoming a key tool for improving and measuring practice. They can improve care by providing decision support during routine care, by making important information more readily accessible, by pointing out redundancies, by suggesting alternatives, and by making guidelines accessible. Key domains, which are particularly amenable to such decision support, include drug prescribing, test ordering and implementation of critical pathways. In addition to their role in quality improvement, information systems can accomplish most quality measurement if key data are captured in coded form during the provision of routine care. These changes can help close the gap between knowledge and practice and promise to make the practice of evidence-based medicine a reality.

Decision Support Systems, Clinical↗

Making the most of information system consultants.

Choosing an information system consultant can be as critical as finding the right hardware and software. To increase efficiency and reduce wasted time, hospitals should evaluate the chain of events consultants traditionally follow in helping their clients select information systems. Hospitals should be aware of ways to streamline the process and should consider potential conflicts of interest that can arise if consulting firms have ties to vendors or system installers.

Commerce↗

Toxicology information systems: a historical perspective.

Toxicology information systems have evolved swiftly from early, library-based bibliographic tools to advanced packages utilizing sophisticated computer and telecommunication technologies. These systems have evolved concurrently with the rapid expansion of the science of toxicology itself. Bibliographic files such as TOXLINE represent first attempts to handle the toxicology literature through on-line retrieval. Subsequent approaches applied the use of computers to provide literature-derived data, as in TDB or RTECS, or to capture data directly in the laboratory. Societal concerns about hazardous substances, manifested in legislation and regulations, have been responsible for the creation of many computerized systems. Advanced, integrated information management systems are being explored as a method of accessing a large number of independently maintained toxicology databases. Changes in information technologies such as the trend toward microcomputers and novel high-density storage devices will affect the future of toxicology information systems as will impending developments in toxicology itself related to biotechnology, analytical methodology, and alternatives to whole animal testing.

History, 20th Century↗

Diagnosing strategic performance of the hospital information systems planning cycle.

Hospital information systems planning (HISP) involves large expenditures. Often the evaluation of its performance is unstructured, giving no direction for future strategic choices for information systems (IS) development. This article formulates the challenge facing senior management when it must define priorities for the next IS planning cycle. New IS applications are selected to enhance the IS portfolio profile and the users' functionality, taking account of the past and anticipated response to resources invested. A methodology, new tools, and analyses for conducting the diagnosis of the last planning cycle are described.

Canada↗