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 127 records · Page 7Linked to original sources
PubMed1991

Network system: the integrated picture archiving and communication system with the hospital information system.

We describe the outline of Hokkaido University picture archiving and communication system (HU-PACS) and its network functions. HU-PACS processes 0.5 Gbytes of images daily through 10 acquisition devices. Functional integration of hospital information system (HIS) and PACS has been implemented. The HU-PACS can access common data base with HIS. Multi-image data-base systems provide fast throughput of image retrieval. The system is composed of 4 modules: (1) 2 image data-base systems (IDS), (2) 1 image management system (IMS), (3) image display terminals (IDT), and (4) 8 image acquisition nodes interfaced to 10 modalities and 1 film scanner. These 4 modules are connected by branch and loop type local area networks (LAN). HU-PACS has functions other than basic PACS functions. Images in optical disk library (ODL) are loaded onto magnetic disks (MD) in advance according to patient booking information, the images expected to be viewed are transferred to the local storage automatically, and the desired images can be pre-downloaded into local storage by instruction through HIS terminals.

Computer Communication Networks↗
PubMed2002

The 'cube' meta-model for the information system of large health sector organizations--a (platform neutral) mapping tool to integrate information system development with changing business functions and organizational development.

To develop information systems (IS) in the changing environment of the health sector, a simple but throughout model, avoiding the techno-jargon of informatics, might be useful for the top management. A platform neutral, extensible, transparent conceptual model should be established. Limitations of current methods lead to a simple, but comprehensive mapping, in the form of a three-dimensional cube. The three 'orthogonal' views are (a) organization functionality, (b) organizational structures and (c) information technology. Each of the cube-sides is described according to its nature. This approach enables to define any kind of an IS component as a certain point/layer/domain of the cube and enables also the management to label all IS components independently form any supplier(s) and/or any specific platform. The model handles changes in organization structure, business functionality and the serving info-system independently form each other. Practical application extends to (a) planning complex, new ISs, (b) guiding development of multi-vendor, multi-site ISs, (c) supporting large-scale public procurement procedures and the contracting, implementation phase by establishing a platform neutral reference, (d) keeping an exhaustive inventory of an existing large-scale system, that handles non-tangible aspects of the IS.

Health Care Sector↗
PubMed2006

Health information systems: between shared care and body area networks. Findings from the Section on health Information Systems.

OBJECTIVES: To summarize current excellent research in the field of health information systems (HIS). METHODS: Synopsis of the articles selected for the IMIA Yearbook 2006. RESULTS: Current research in the field of HIS is focused on supporting transinstitutional health care processes including health record systems, integration of new data types and knowledge based decision support, patient empowerment, the utilization of new technologies like wearable systems or ubiquitous computing in home and personal care, and methods and tools for the analysis, development, management, and evaluation of HIS. CONCLUSIONS: The best paper selection of articles on HIS comprises examples of excellent research on integration of HIS based on standards for electronic health records, methods and tools for HIS oriented change management, the use of wearable systems for telemedical surveillance of chronically ill patients, technology driven home care concepts for the elderly and physically disabled, and data privacy issues arising from the emergence of new clinical data types in the context of biomedicine. Besides successful research concerning important aspects of HIS, achieving interoperability and integration of health information subsystems and technology remains an important field of work.

Awards and Prizes↗
PubMed1992

Integration of a stand-alone expert system with a hospital information system.

A stand-alone PC expert system for evaluating the appropriateness of inpatient admissions has been integrated with an existing hospital information system. The expert system supports preadmission screening for appropriateness of inpatient admissions. The HIS provides extensive clinical data in a coded electronic form, permitting high-level decision support. The integrated system was developed for a 20 week randomized clinical trial to evaluate the effects of preadmission screening on inappropriate inpatient admissions. Three factors of the integration are considered: programmatic integration of the expert system, seamless presentation of mixed platform applications, and integration of coded data from the stand-alone application into the HIS data structure.

Evaluation Studies as Topic↗
PubMed1998

From legacy systems towards modern health information systems.

This article describes an approach of transferring legacy hospital information system to a modern HIS, which would support requirements of modern information age. There are several reasons, which force us to perform such a migration: from the weakness of design of legacy system to the need of covering new technologies (such as Inter/intranet) and new business conditions. The transition should be gradual, therefore a multilevel approach to the data is suggested, enabling us the transition, as well as including of the new, upcoming standards. The process of transition was started by the system covering the doctor's work. Responses to this part were very positive; therefore, we estimate that we are on the right way. We, however, know that the transitions will be neither fast nor cheap and this is the reason we shall have to find some more solutions.

Computer Communication Networks↗
PubMed1997

Reducing nurses'. Workload using a computerized nursing support system linked to the hospital information system.

A computerised nursing support system (CNSS) linked to the hospital information system (HIS) was developed and has been in use for one year, in order to reduce the workload of nurses. CNSS consists of (1) a hand held computer for each nurse (2) desk-top computers in the nurses' station and doctors' rooms (3) a data server (4) an interface with the main hospital information system. Nurses enter vital signs, food intake and other information about the patients into the hand held computer at the bed-side. The information is then sent automatically to the CNSS data server, which also receives patients' details (prescribed medicines etc.) from the HIS. Nurses and doctors can see all the information on the desk-top and hand held computers. This system was introduced in May 1995 into a university hospital ward with 40 beds. A questionnaire was completed by 23 nurses before and after the introduction of CNSS. The mean time required to post vital data was significantly reduced from 121 seconds to 54 seconds (p < 0.01). After three months 30% of nurses felt CNSS had reduced their workload, while 30% felt it had complicated their work; after five months 70% noted a reduction and 0% reported that CNSS had made their work more complex. The study therefore concludes that the interface between a computerised nursing support system and the hospital information system reduced the workload of nurses.

Humans↗
PubMed1998

Alcohol consumption and injury in Western Australia: a spatial correlation analysis using geographic information systems.

Geographic information systems technology was used to describe, in geographical terms, the nature and strength of the relationship in Western Australia between alcohol consumption and the rates of related injury: night-time assaults (10 p.m. to 6 a.m.); minor night-time road crashes (10 p.m. to 6 a.m.), weighted by traffic density; and hospital E-code (external-cause) morbidity, weighted by alcohol aetiologic fractions. The data were aggregated by five conventional state regions: northern, central, western, southern and Perth metropolitan. There was a general association, of equal significance for males and females, between estimated per capita alcohol consumption and the selected rates of injury in the five regions. However, the nature and strength of association between alcohol consumption and individual injury measures varied. Night-time assaults and hospital E-code morbidity were strongly, associated with consumption. Minor night-time crashes had only a weak association. The variation in the relationship between alcohol consumption and injury suggests that prevention strategies need to take into account the particular drinking patterns and associated harm that occur in different regions of the state, and to develop a range of targeted responses. High rates of consumption and injury in most country areas support the need for greater regional prevention efforts.

Adolescent↗
PubMed2001

Investigating urban geochemistry using Geographical Information Systems.

Geographical Information System (GIS) is an interactive digital extension of the two-dimensional paper map. Customised maps are created by the selection and aggregation of data from independent sources to assist studies in urban geochemistry. The metropolitan area of Wolverhampton, in the West Midlands, UK is used to illustrate the types of output that can be generated. These include: geographic and geological feature; geochemical data and land use. Multi-layered maps can be used to investigate spatial relationships, for example, between elevated concentrations of metals in soils and industrial land use. Such maps can also be used to assist the assessment of potential exposure of groundwater, ecosystems and humans using maps incorporating guideline values for metals in soils.

England↗
PubMed1999

A unified framework for data modeling on medical information systems.

Medical Information Systems (MIS) are seen as a way of optimizing the use of existing health-care infrastructure, without resorting to new and costly hospital (re)construction. The qualitative (re)design of such an environment requires a basic understanding of patient and doctors related characteristics and capabilities. Patient care, patient education, medical education, and clinical research need to be considered to meet the basic requirements on the level of services desirable, determined on the basis of the patient's length of stay; i.e., used for modeling the significant entities of such a world. The aim is to extract conclusions for the level of services provided to the users. One's concept will capture, as well as will integrate, the basic design principles under which MIS may be set.

Artificial Intelligence↗
PubMed1994

Security for decentralized health information systems.

Health care information systems must reflect at least two basic characteristics of the health care community: the increasing mobility of patients and the personal liability of everyone giving medical treatment. Open distributed information systems bear the potential to reflect these requirements. But the market for open information systems and operating systems hardly provides secure products today. This 'missing link' is approached by the prototype SECURE Talk that provides secure transmission and archiving of files on top of an existing operating system. Its services may be utilized by existing medical applications. SECURE Talk demonstrates secure communication utilizing only standard hardware. Its message is that cryptography (and in particular asymmetric cryptography) is practical for many medical applications even if implemented in software. All mechanisms are software implemented in order to be executable on standard-hardware. One can investigate more or less decentralized forms of public key management and the performance of many different cryptographic mechanisms. That of, e.g. hybrid encryption and decryption (RSA+DES-PCBC) is about 300 kbit/s. That of signing and verifying is approximately the same using RSA with a DES hash function. The internal speed, without disk accesses etc., is about 1.1 Mbit/s. (Apple Quadra 950 (MC 68040, 33 MHz, RAM: 20 MB, 80 ns. Length of RSA modulus is 512 bit).

Computer Communication Networks↗
PubMed2000

Modelling health care processes for eliciting user requirements: a way to link a quality paradigm and clinical information system design.

Hospital information systems have to support quality improvement objectives. The design issues of health care information system can be classified into three categories: 1) time-oriented and event-labelled storage of patient data; 2) contextual support of decision-making; 3) capabilities for modular upgrading. The elicitation of the requirements has to meet users' needs in relation to both the quality (efficacy, safety) and the monitoring of all health care activities (traceability). Information analysts need methods to conceptualize clinical information systems that provide actors with individual benefits and guide behavioural changes. A methodology is proposed to elicit and structure users' requirements using a process-oriented analysis, and it is applied to the field of blood transfusion. An object-oriented data model of a process has been defined in order to identify its main components: activity, sub-process, resources, constrains, guidelines, parameters and indicators. Although some aspects of activity, such as "where", "what else", and "why" are poorly represented by the data model alone, this method of requirement elicitation fits the dynamic of data input for the process to be traced. A hierarchical representation of hospital activities has to be found for this approach to be generalised within the organisation, for the processes to be interrelated, and for their characteristics to be shared.

Blood Transfusion↗
PubMed1987

Introduction to hospital information systems.

The phrase, 'hospital information system', is frequently used in discussions about the flow of information throughout a hospital with the assumption that everybody has the same concept in mind. Closer examination shows that this is not necessarily the case. The author draws on his experience as the Chief Information Officer at University Hospital at Stony Brook to define a hospital information system in terms of the implementation at Stony Brook. The University Hospital Information System at University Hospital (UHIS), has received international acclaim and was recently selected by the IBM Quarterly of Australia as the world leader in hospital information systems. This paper answers four questions: What is a hospital information system? How does a hospital information system work? How do you implement a hospital information system? After the system is operational, where do you go, e.g., critical care data management, physician's office management? University Hospital at Stony Brook is located on eastern Long Island and is the tertiary care referral hospital for approximately 1.4 million people. Nothing in the hospital happens without computers. Doctors, nurses, administrators and staff at all levels rely on the system daily. The system operates 24 hours per day, seven days per week. Access to the system is through 300 terminals and 128 printers throughout the hospital. In addition to the UHIS terminals, the critical care management system which is called Patient Data Management System, (PDMS), is available at over 90 ICU beds and in the operating rooms.

Hospital Information Systems↗