Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Information Systems”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 235 records · Page 13Linked to original sources
PubMed1991

A lung function information system.

A lung function information system (LFIS) was developed for the data analysis of pulmonary function tests at different locations. This system was connected to the hospital information system (HIS) for the retrieval of patient data and the storage of the lung function variables of patients to generate follow-up reports and to support financial and administrative management. The application programs were developed in such a way that high flexibility was obtained with respect to the patient-computer-technician interaction. The sampled data are stored on a disc to correct earlier decisions, perform recalculations and reanalyse the data for research purposes. When the measurements performed on a patient are authorized, the sampled data are deleted, except for when they are needed for future research. A distributed computer system was chosen to combine the benefits of a centralized system with those of several stand-alone systems. The main tasks of the central unit are to store collected data and computer programs, generate a final lung function report on laser printer and provide a connection to the HIS. In the satellite computers, which are located close to the lung function equipment, the signals and raw data are processed. Furthermore, the satellite computers were in use for program development and several research projects, and for the offline data processing of the lung function measurements from two other hospitals by means of a modem connection. The LFIS improved the quantity and quality of data acquisition. It resulted in an increased capacity of about 50% concerning spirometry, and facilitated time-consuming complex analyses. It also avoided miscalculations and mistakes in reports previously experienced with hand calculations.

Computer Systems↗
PubMed1989

[Linking information systems in the health service].

Various information systems have existed in the hygiene service for a number of years and the outputs of these systems are partially used. By interconnection (comprehensive evaluation) of these systems objective information on the relationship of various factors could be obtained. For the epidemic season 1985/86 (September-April) the outputs of information systems "Reports on acute respiratory diseases" (ARD), "Contamination of the atmosphere in the CSR", "Meteofond" were analyzed in a comprehensive way. The incidence of acute respiratory diseases, the sulphur dioxide concentration, the concentration of dust and nitrogen oxides in the air, the temperature and the moisture of the atmosphere were evaluated. The incidence of acute respiratory diseases, which markedly depends on the season, is recorded most accurately in the age group of 0-5 years. The most marked excesses of the incidence are associated as a rule with the circulation of the influenza virus in the population. The sulphur dioxide concentration is also dependent on the season, similarly as the concentration of dust and the temperature and moisture of the air assessed at 2 p.m. There are some identical features between the level of the incidence of acute respiratory diseases, the atmospheric concentration of the mentioned substances and values of the mentioned climatic factors in the course of the epidemic season of acute respiratory diseases. Causal relationships between the incidence of acute respiratory diseases and all mentioned factors must be, however, evaluated with great care.

Acute Disease↗
PubMed2001

A UML-based ontology for describing hospital information system architectures.

To control the heterogeneity inherent to hospital information systems the information management needs appropriate hospital information systems modeling methods or techniques. This paper shows that, for several reasons, available modeling approaches are not able to answer relevant questions of information management. To overcome this major deficiency we offer an UML-based ontology for describing hospital information systems architectures. This ontology views at three layers: the domain layer, the logical tool layer, and the physical tool layer, and defines the relevant components. The relations between these components, especially between components of different layers make the answering of our information management questions possible.

Hospital Information Systems↗
PubMed2004

Assessing the impact of change in the organization of a technical support system for a health information systems (HIS).

OBJECTIVE: Evaluate the impact of the implementation of a new model of Help Desk and technical support in HIS users of the hospital. We carried an anonymous survey on a random sample of 150 users of the new system. The administrative staff (A), doctors (D) and nurses (N) were analysed by strata. We assessed the accessibility both to phone calls and through the institutional intranet; the understanding of the problems; the time taken to fully answer requests; and the degree of satisfaction concerning the change. The results showed that 94%, gained access through the intranet and that it was very satisfactory for the medical group (D80% vs A34% vs N8.7%). The different kinds of users were satisfied with the response time, above all the administrative stratum (A42% vs D38% vs N14%). All of them commented on their satisfaction with the change, above all, the doctors (D68% vs A46% vs N22%), who before this new implementation had expressed dissatisfaction with the old system. CONCLUSIONS: operational changes in the Help Desk contributed to improve how the service was perceived by its users; nevertheless both doctors and nurses required even faster response time.

Computer Communication Networks↗
PubMed1995

The evolution of a scalable departmental real-time clinical information system.

On-line Clinical Information Systems have to be both very responsive and capable of accessing large volumes of historic data. The EmStat Emergency Department Clinical Information System has evolved through several approaches to meeting these needs, including effective use of client/server technology, and optimizing all available machine resources. Currently the system is quite successful in this regard but the evolution continues.

Computer Systems↗
PubMedDate not supplied

Demystifying radiology information systems.

Selecting the right radiology information system (RIS) can be a difficult and tedious task for radiology managers. Sometimes the information systems department ends up selecting the RIS. As a radiology manager, you can help yourself and your department greatly by becoming more educated concerning the technology and terminology of radiology information systems. You can then participate in one of the most important decisions that will ever be made regarding your department. There is much confusion about the meanings of the terms interfaced and integrated. Two applications are generally considered integrated if they freely access and update each other's databases. Two applications are generally considered interfaced if they pass data to each other but don't directly access nor update the other's databases. Two more terms are centralized and decentralized. Centralized is the concept of "putting all of your eggs in one basket." Decentralization means you spread your resources out. The main difference between centralized and decentralized is that all components of a centralized system share the same fate (good or bad), while decentralized components operate independently and aren't affected directly by failures in another system. Another significant term relevant to RIS systems is HL7, which is a standardized data format that allows one application to pass data to another application in a format that the receiving application understands. RIS vendors generally fall in three categories: single-source vendors, multiproduct vendors and single-product vendors. Single-product vendors include best-of-breed vendors. No one approach is necessarily better than the others; which you choose will depend on your needs. When considering the purchase of an RIS system, there are important questions to ask yourself, the vendor and the vendors' customers as you gather information and prepare to make a decision.

Centralized Hospital Services↗
PubMed1987

The birth defects information system. A computer-based information resource for diagnostic support, education, and research.

The Center for Birth Defects Information Services, a non-profit scientific collaborative formed to promote scientific and professional communication in birth defects and human genetics, operates a number of print and electronic information services designed to support clinical practice, education, and research. Unique among these services is Micro BDIS; a self-contained Birth Defects Information System for the personal computer. Subscribers are able to describe clinical cases or search criteria in a standardized language, as well as free text. The Micro BDIS evaluation facility then assists in the development of a differential diagnosis. Unusual cases that do not fit established diagnosis may be submitted to an Unknowns Registry.

Congenital Abnormalities↗
PubMed1998

HIS/BUI: a conceptual model for bottom-up integration of hospital information systems.

Many successful applications of information systems have been introduced and implemented in hospitals. However, the integration of these applications into a cohesive hospital-wide information system has proved to be more complicated to develop and difficult to accomplish than expected. This paper introduces HIS/BUI, a framework for bottom-up integration of hospital information systems, and demonstrates its application through a real-life case scenario. The scope of the proposed framework is the integration of heterogeneous clinical, administrative, and financial information elements of a hospital into a unified system environment. Under the integrated architecture, all existing local applications are preserved and interconnected to an information hub that serves as a central medical and administrative data warehouse.

Computer Communication Networks↗
PubMedDate not supplied

Online support functions of prescription order system and prescription audit in an integrated hospital information system.

The role of the online prescription support functions of a prescription order entry system was analysed and the results of the prescription audit by pharmacists were examined. In the Kochi Medical School Hospital, an online prescription order system has been developed as part of an integrated hospital information system named IMIS (the Integrated Medical Information System), in which all the physicians enter their prescription orders into online display terminals. The prescription order entry system is provided with prescription support functions, which check the entered prescription data, issue warnings, and offer information about drugs or patients. The prescription order system reduces the incidence of simple prescription mistakes and greatly decreases the cases of inquiries by pharmacists. However, results of the analysis show that such functions as warnings of double order and repeated prescription of a drug do not work as well as expected. The system would thus require some kind of intelligence like that of the auditing pharmacists or that of the physicians with accurate knowledge of clinical pharmacology.

Drug Prescriptions↗
PubMed2001

How to select a clinical information system.

Modern computer-based hospital information systems are mostly distributed with several information subsystems connected together by communication services. A single subsystem may be developed or purchased ("make" or "buy"). Before the purchase of hard- and software it is necessary to check out whether the product fits the requirements concerning the functionality and especially the integration in the hospital information system. This selection process is difficult and tedious and requires thus a simple and flexible technique. An appropriate approach for the comparison of clinical information systems before implementation based on the SMARTER method is described here, in hospital and its practicability is demonstrated with an example.

Cost-Benefit Analysis↗
PubMed1998

Radiology information systems, picture archiving and communication systems, teleradiology--overview and design criteria.

Information technology (IT), long taken for granted in commercial settings, is now being utilized for health-care applications. Medical imaging has lagged comparatively due to the extremely vast data content of each frame; thus, the requirement for expensive high-end components. Further, IT in radiology has evolved from two distinctly separate camps--information systems, known as RIS (radiology information systems) and PACS (picture archiving and communications systems). Both RIS and PACS applications have migrated to the PC environment, enabling cost-effective implementation, but from two backgrounds: RIS from vendors using conventional information systems platforms and products, and PACS from radiographic film and modality vendors. The radiology department at Texas Tech University has assembled a seamlessly integrated, enterprise-wide RIS/PACS/teleradiology intranet. The design criteria include user-friendliness, flexibility to respond to changing needs, and open modular architecture to assure interoperability, cost-effectiveness, and future-proofing of investment. Since no single venor could provide an integrated system meeting our specifications, we decided to assume the burden of constructing our own system. As the system integrator, we embrace open architecture, thus enabling the incorporation of industry-standard-compliant, COTS (commercially off the shelf) products as modules. Microsoft Windows NT operating system, Visual C++ programming language, TCP/IP (transmission control protocol/internetworking protocol), relational SQL (structured query language) database, ODBC (open database connectivity), HL-7 (health level seven) and DICOM (digital imaging and communications in medicine) interfaces are utilized. The usage of COTS components reduces the cost to very affordable levels. With this approach, any module in our system can be replaced when outmoded, without affecting other modules in our system, making it truly future-proof. Construction and evolution of our system (TECHRAD) is reviewed.

Computer Systems↗
PubMed1996

A new clinical laboratory information system architecture from the OpenLabs project offering advanced services for laboratory staff and users.

The OpenLabs project aims to improve the efficiency and effectiveness of clinical laboratory services by integrating decision support systems with laboratory information systems and equipment. Standards for electronic data interchange between laboratories and other medical systems using the EUCLIDES/OpenLabs coding scheme and an open architecture for clinical laboratory information systems have been specified. This article gives an account of the proposed architecture and outlines new software applications being developed using the architecture which provide advanced services for ordering and reporting of laboratory tests, advanced instrument workstation and laboratory management services, including an OpenLabs Service Manager application which co-ordinates the available services.

Chemistry, Clinical↗
PubMed1996

Transforming paradigms for provider information systems.

Developments in health care information systems are being driven by the changing health care market environment as well as the availability of enhanced communication and computer technologies. These developments represent basic shifts in traditional paradigms on which provider information systems are based. The ultimate success of providers will depend on their making fundamental changes in the use of information systems to support new and evolving incentive systems, organizational structures, and market expectations.

Capitation Fee↗
PubMed2004

The aging of a clinical information system.

The senescence of a clinical information system is more likely to have administrative than technical bases. Supporting this claim is a case study of one aging oncology information system. The case study is qualitative, as behooves the subject matter. Content analysis of several documents suggests that the change in job description of the data coordinator led to a workflow breakdown. Next, twenty-two individuals were interviewed. Notes from the interviews were coded, and the resulting patterns led to partial support for the workflow breakdown conjecture, refutation of the hypothesis that users disliked the character-based, human-computer interface, support of the conjecture that political rather than technical factors drive the usage patterns of the system, and evidence that 'political' activity will determine the future of the information system. A stakeholder matrix is proposed that addresses administrative concerns. Also, the issue of the uniqueness of any oncology clinical information system is linked to the plans for this legacy system.

Databases, Factual↗