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Taverna: a tool for the composition and enactment of bioinformatics workflows.

MOTIVATION: In silico experiments in bioinformatics involve the co-ordinated use of computational tools and information repositories. A growing number of these resources are being made available with programmatic access in the form of Web services. Bioinformatics scientists will need to orchestrate these Web services in workflows as part of their analyses. RESULTS: The Taverna project has developed a tool for the composition and enactment of bioinformatics workflows for the life sciences community. The tool includes a workbench application which provides a graphical user interface for the composition of workflows. These workflows are written in a new language called the simple conceptual unified flow language (Scufl), where by each step within a workflow represents one atomic task. Two examples are used to illustrate the ease by which in silico experiments can be represented as Scufl workflows using the workbench application.

Computational Biology↗

Integrating context-aware public displays into a mobile hospital information system.

Hospitals are convenient settings for deployment of ubiquitous computing technology. Not only are they technology-rich environments, but their workers experience a high level of mobility resulting in information infrastructures with artifacts distributed throughout the premises. Hospital information systems (HISs) that provide access to electronic patient records are a step in the direction of providing accurate and timely information to hospital staff in support of adequate decision-making. This has motivated the introduction of mobile computing technology in hospitals based on designs which respond to their particular conditions and demands. Among those conditions is the fact that worker mobility does not exclude the need for having shared information artifacts particular locations. In this paper, we extend a handheld-based mobile HIS with ubiquitous computing technology and describe how public displays are integrated with handheld and the services offered by these devices. Public displays become aware of the presence of physicians and nurses in their vicinity and adapt to provide users with personalized, relevant information. An agent-based architecture allows the integration of proactive components that offer information relevant to the case at hand, either from medical guidelines or previous similar cases.

Artificial Intelligence↗

Location-aware access to hospital information and services.

Hospital workers are highly mobile; they are constantly changing location to perform their daily work, which includes visiting patients, locating resources, such as medical records, or consulting with other specialists. The information required by these specialists is highly dependent on their location. Access to a patient's laboratory results might be more relevant when the physician is near the patient's bed and not elsewhere. We describe a location-aware medical information system that was developed to provide access to resources such as patient's records or the location of a medical specialist, based on the user's location. The system is based on a handheld computer which includes a trained backpropagation neural-network used to estimate the user's location and a client to access information from the hospital information system that is relevant to the user's current location.

Algorithms↗

Access to data: comparing AccessMed with Query by Review.

OBJECTIVE: To evaluate the performance of tools for authoring patient database queries. DESIGN: Query by Review, a tool that exploits the training that users have undergone to master a result review system, was compared with AccessMed, a vocabulary browser that supports lexical matching and the traversal of hierarchical and semantic links. Seven subjects (Medical Logic Module authors) were asked to use both tools to gather the vocabulary terms necessary to perform each of eight laboratory queries. MEASUREMENTS: The proportion of queries that were correct; intersubject agreement. RESULTS: Query by Review had better performance than AccessMed (38% correct queries versus 18%, p = 0.002), but both figures were low. Poor intersubject agreement (28% for Query by Review and 21% for AccessMed) corroborated the relatively low performance. Subjects appeared to have trouble distinguishing laboratory tests from laboratory batteries, picking terms relevant to the particular data type required, and using classes in the vocabulary's hierarchy. CONCLUSION: Query by Review, with its more constrained user interface, performed somewhat better than AccessMed, a more general tool. Neither tool achieved adequate performance, however, which points to the difficulty of formulating a query for a clinical database and the need for further work.

Artificial Intelligence↗

Image archival technologies.

A typical radiology department can create many gigabytes of image data per day and as much as 1 terabyte of data per year. Archiving and accessing this much data are substantial problems. One solution is data compression, which decreases data storage requirements and increases the rate of data transfer; however, standards are not yet available. Other solutions involve improvements in archival media. Jukebox subsystems allow automated access to multiple units. Digital magnetic tape, the standard medium, can store large amounts of information and enables easy updates or replacements; more practical technologies have been introduced in recent years. Digital videotape allows storage of digital video data and features a high rate of data transfer. Optical disks, now the preferred permanent archival medium, have a large storage capacity and provide excellent long-term stability. Optical tape is also being investigated as a solution to the archiving dilemma. Which technology to choose depends on many factors, including needs of the institution and the cost, stability, transfer time, and storage capacity of the system.

Computer Storage Devices↗

The role of ASTM (American Society for Testing and Materials) in computer information standards for medicine.

The computer is a valuable tool for processing information and knowledge in medicine. Its ability to store, correlate, display, and transfer vast amounts of information rapidly and economically has already greatly impacted medicine. As the standards needed to connect the diverse parts of the current systems are put into place, future capabilities will be even more significant and encompassing. With these standards will come the ability to readily draw diverse information together for appropriate display, analysis, and interpretation. Good standards are essential for the continuation of the computer revolution in medicine.

Clinical Laboratory Information Systems↗

Gradual approach key to successful transition to electronic records.

Implementing an electronic document imaging system hasn't exactly been pain-free, according to health information managers at the DeKalb Regional Healthcare System in Atlanta. But DeKalb's nearly four-year project has gone well thanks to a gradual phase-in of the system.

Electronic Data Processing↗

An integrated multidepartmental hospital imaging system: usage of data across specialties.

Development of automated medical information systems requires knowledge about the utilization of the system; both for design and as feedback during the development process. One of the significant advantages of computer systems is that they can provide an automatic log of system utilization. This paper reports the first study of utilization data collected automatically in an integrated image environment. System monitoring indicates that images are routinely used in clinical care and clinical conferences. Selected images are shown repeatedly for teaching, demonstration, and reference at locations throughout the hospital. Images are viewed both by the collecting service when producing procedure reports and consultations, as well as by the treating physicians from other hospital services. Medical departments have developed image collection policies to meet their internal needs and the needs of treating physicians.

Hospital Information Systems↗

New IEEE standard enables data collection for medical applications.

The IEEE has gone to ballot on a "Standard for Medical Device Communications", IEEE P1073. The lower layer, hardware portions of the standard are expected to be approved by the IEEE Standards Board at their December 11-13, 1994 meeting. Other portions of the standard are in the initial stages of the IEEE ballot process. The intent of the standard is to allow hospitals and other users to interface medical electronic devices to host computer systems in a standard, interchangeable manner. The standard is optimized for acute care environments such as ICU's, operating rooms, and emergency rooms. [1] IEEE General Committee and Subcommittee work has been on-going since 1984. Significant amounts of work have been done to discover and meet the needs of the patient care setting. Surveys performed in 1989 identified the following four key user requirements for medical device communications: 1) Frequent reconfiguration of the network. 2) Allow "plug and play" operation by users. 3) Associate devices with a specific bed and patient. 4) Support a wide range of hospital computer system topologies. Additionally, the most critical difference in the acute care setting is patient safety, which has an overall effect on the standard. The standard that went to ballot meets these requirements. The standard is based on existing ISO standards. P1073 is compliant with the OSI seven layer model. P1073 specifies the entire communication stack, from object-oriented software to hospital unique connectors. The standard will be able to be put forward as a true international standard, much in the way that the IEEE 802.x family of standards (like Ethernet) were presented as draft ISO standards.(ABSTRACT TRUNCATED AT 250 WORDS)

Computer Communication Networks↗

Medical data capture and display: the importance of clinicians' workstation design.

The Department of Veterans Affairs is developing, testing and evaluating the benefits of physicians' workstations as an aid to medical data capture in an outpatient clinic setting. The physician's workstation uses a graphical user interface to aid the clinician in recording encounter data. Various input devices including keyboard, mouse, pen, voice, barcode reader, and tablet are available on the workstations, and user preferences will be examined. Access to general services such as electronic mail and reference databases is also available. The workstation provides a wide variety of patient specific data from the hospital information system, including image data. The single data collection process by the clinician will also provide data for the cost recovery process.

Computer Peripherals↗

Intelligent processing of loosely structured documents as a strategy for organizing electronic health care records.

Loosely structured documents can capture more relevant information about medical events than is possible using today's popular databases. In order to realize the full potential of this increased information content, techniques will be required that go beyond the static mapping of stored data into a single, rigid data model. Through intelligent processing, loosely structured documents can become a rich source of detailed data about actual events that can support the wide variety of applications needed to run a health-care organization, document medical care or conduct research. Abstraction and indirection are the means by which dynamic data models and intelligent processing are introduced into database systems. A system designed around loosely structured documents can evolve gracefully while preserving the integrity of the stored data. The ability to identify and locate the information contained within documents offers new opportunities to exchange data that can replace more rigid standards of data interchange.

Database Management Systems↗

A clinical data repository implementation progress report.

In late 1992, the 161 bed Grace Hospital of Morganton, North Carolina, USA, entered into a prototype agreement with a major vendor of hospital information systems software to help develop remote delivery of a Clinical Data Repository system. A process for planning and designing the implementation of this system was instituted by the Hospital. As of June 1994, several types of patient data are being collected for storage in the repository; interfaces to existing systems have been created, and progress is being made on designing clinical user presentation formats for long-term, on-line clinical data.

Computer Communication Networks↗

Integrating data from natural language processing into a clinical information system.

Demographic data extracted from discharge summaries by natural language processing was compared to data gathered by a conventional hospital admitting system. Discrepancies in data were noted in names, age, sex, race, and ethnicity. Some differences are attributable to errors in collection: interaction with patient, dictation, transcription, and data entry. Very few differences were due to errors in natural language processing. Other differences can be used to critique existing data, or to enhance data with more detailed information. Discrepancies in data as elementary as patient demographics raise the issue of resolving conflicts when neither source of data is known to be more reliable. Clinical repositories can represent conflicting data from multiple sources, but clinical information systems must bear the cost of increased complexity in the application programs that will use the data.

Evaluation Studies as Topic↗