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Sending data to a central repository.

The Veterinary Medical DataBases (VMDB) has been collecting data from participating institutions for 40 years. We have recently started a program to collect clinical case data from not only veterinary schools but from veterinary practitioners as well. In so doing, we are using commonly accepted means of data representation and transmission. Thus, we use the Standard Nomenclature of Medicine (SNOMED) as a standard vocabulary language and Health Level 7 (HL 7) as a standard transmission protocol. We report on the planning and implementation of these standards and the problems encountered in their implementation.

Animal Diseases↗

Selective use of online literature searching by a drug information service.

The use of online searching in a drug information center on a regular but selective basis is described. Of 90-100 information requests received monthly in a university-affiliated drug information center located within the health sciences library, five to eight computer searches are performed. All other questions are answered using a manual search. The computer searches are conducted by a medical librarian who works closely with the pharmacist. For each search, the library charges the drug information center for at least 12 minutes of connect time; charges cover the library's direct costs only. The drug information center is staffed by a director and assistant director; in addition, Pharm.D. students and clinical pharmacy residents work there. Factors influencing the decision to do an online rather than a manual search include budgetary constraints, how quickly an answer is needed, the success of a preliminary manual search, and the complexity of the request. Considerations for conducting online searches through a library rather than by the staff of the drug information center include requisite search skills, costs, and accessibility to computer search services. The selective use of online searches through a health sciences library is a viable means of accessing online information in a drug information center that cannot support its own online literature-retrieval system.

Budgets↗

The ranking algorithm of the Coach browser for the UMLS metathesaurus.

This paper presents the novel ranking algorithm of the Coach Metathesaurus browser which is a major module of the Coach expert search refinement program. An example shows how the ranking algorithm can assist in creating a list of candidate terms useful in augmenting a suboptimal Grateful Med search of MEDLINE.

Algorithms↗

Web-based submission, archive, and review of radiotherapy data for clinical quality assurance: a new paradigm.

PURPOSE: To report on the implementation of a web-based system (the Resource Center for Emerging Technologies [RCET] System) that provides immediate access to the patient radiotherapy planning and delivery data for clinical quality assurance (QA) by the experts. MATERIALS AND METHODS: An infrastructure of comprehensive tools required for preparation, submission, auto-archiving, web-based review, and retrieval of diagnostic images, treatment planning images, and radiation therapy objects has been developed. These tools represent approximately 1.1 million lines of computer code development in seven languages (V, C++, Visual Basic, Java, ASP, HTML, and SQL) and consist of a secure auto-anonymizing upload and auto-archiving patient database, a web-based secure object archiving network system, a web-based rapid review tool, a web-based upload/download tool, and a personal computer client data application for data object preparation, visualization, and submission, named NetSys. The RCET system enables users to share radiotherapy data in a secure environment. This paradigm of electronic data exchange makes remote peer review very efficient and convenient. RESULTS: The RCET system can help the radiation therapy community ensure consistent evaluation of its therapies. It will encourage proactive QA. An example of proactive clinical QA would be to provide atlases of target and critical structure definitions, to serve as class solutions, as well as dose prescription, specification, and reporting examples for guidance to the radiation oncologists in the community. The web-based clinical quality assurance is ideally suited for emerging technologies in radiation therapy that generate complex and voluminous multimodality imaging and planning data. CONCLUSIONS: The RCET system enables users to share multimodality imaging data, radiation therapy planning, and delivery data on demand. Our design paradigm will allow rapid peer review of radiotherapy data through a simple personal computer-based web browser.

Humans↗

Using agent-based technology to create a cost effective, integrated, multimedia view of the electronic medical record.

Image Engine is multi-user, client-server database for the storage, retrieval and sharing of a wide range of digitized biomedical images under development at the University of Pittsburgh. This paper provides an overview of the system and describes the use of agent-based technology to integrate clinical information from the Image Engine database and the MARS clinical information system at the University of Pittsburgh Medical Center. Agent-mediated links provide a mechanism for combining clinical data from multiple databases to create a unified, multimedia view of the electronic medical record.

Computer Communication Networks↗

A submission model for use in the indexing, searching, and retrieval of distributed pathology case and tissue specimens.

This paper describes the Shared Pathology Informatics Network (SPIN) submission model for uploading de-identified XML annotations of pathology case and specimen information to a distributed peer-to-peer network architecture. SPIN use cases, architecture, and technologies, as well as pathology information design is described. With the architecture currently in use by six member institutions, SPIN appears to be a viable, secure methodology to submit pathology information for query and specimen retrieval by investigators

Abstracting and Indexing↗

Remote access to anatomical information: an integration between semantic knowledge and visual data.

A novel internet-based application is presented which provides access to anatomy knowledge through symbolic modality expressed by keywords taken from controlled or non-controlled terminology. The system is based on a database where anatomical concepts have been organized into a hierarchical framework. Along with term queries that allow retrieving concepts containing or exactly matching the used keyword, the system also provides semantic access to anatomical information. Queries can be setup, which retrieve concepts relying to a particular meaning and sharing a particular relationship. Moreover, the application has the capability to refine the search of the terms by querying the UMLS knowledge server. Anatomical image data have been integrated by using Visible Human Dataset. A set of these images has been indexed according to our anatomical classification and is used inside the application. The system has been implemented through Java client-server technology and works within standard Internet browsers.

Anatomy↗

Using MEDLINE as a knowledge source for disambiguating abbreviations and acronyms in full-text biomedical journal articles.

Biomedical abbreviations and acronyms are widely used in biomedical literature. Since many of them represent important content in biomedical literature, information retrieval and extraction benefits from identifying the meanings of those terms. On the other hand, many abbreviations and acronyms are ambiguous, it would be important to map them to their full forms, which ultimately represent the meanings of the abbreviations. In this study, we present a semi-supervised method that applies MEDLINE as a knowledge source for disambiguating abbreviations and acronyms in full-text biomedical journal articles. We first automatically generated from the MEDLINE abstracts a dictionary of abbreviation-full pairs based on a rule-based system that maps abbreviations to full forms when full forms are defined in the abstracts. We then trained on the MEDLINE abstracts and predicted the full forms of abbreviations in full-text journal articles by applying supervised machine-learning algorithms in a semi-supervised fashion. We report up to 92% prediction precision and up to 91% coverage.

Artificial Intelligence↗

[PACS: use in routine operations].

In the Department of Radiology at the University of Graz, parts of a picture archiving and communication system (PACS) are routinely used. The PACS includes 4 CT scanner, an evaluation console, an MR scanner, a diagnostic console with three monitors and an archive with two drives for optical disks. All the CT examinations are archived on optical disk. It is possible to store up to 26,000 images on one optical disk. The management of the archived images and the retrieval is done by a radiological information system (RIS). There are no problems with the transfer rates and network capacity. Failures that occur during the routine work may spread out and hamper the routine. Reporting on the diagnostic console is still not routinely accepted.

Austria↗

A system for analysis of arterial blood pressure waveforms in humans.

Recent developments in arterial hemodynamics have indicated that the human arterial pressure waveform contains more information than is available from conventional sphygmomanometry. This information includes indices describing left ventricular systolic function and arterial properties. A cheap and reliable system was designed and implemented using readily available hardware for recording, analysis, and storage of arterial pressure waveforms. The system embodies an online technique for synthesizing ascending aortic pressure waveform from recordings made at different peripheral sites of the human arterial system. Eighteen indices are then derived from arterial pressure waveforms. This system can be used in an outpatient clinic for assisting in current pharmacological management of cardiovascular disease. It can also be extended to the critical care area, where the extra information provided aid in assessing the patient's condition.

Aged↗

Data storage and knowledge representation for clinical workstations.

The representation of patient information for use in clinical workstations is a complex problem. Ideally, it should be addressed in a way that allows multiple uses of the data, including simple manual review, sharing and pooling across institutions, and as input to knowledge-based decision support systems. To a great extent, this means coding information with controlled medical vocabularies, but it does not mean that all information must be codable before workstations are feasible. This paper defines some of the choices, both current and future, that are available to address the needs of controlled medical vocabularies for representing data and knowledge in clinical workstations and explores some of the implications of those choices.

Computer Communication Networks↗

New opportunities for processing the OSI-7 layer protocols using parallel processing (transputers).

The attractiveness of the OSI-7 layer model is closely dependent upon a highly ambitious intent to promote a series of quasi-universal standards to coordinate the communication between heterogeneous applications, whatever the distributed architectures might be. However, a major criticism of the OSI-model is the performance and the handling of the presentation layer. This paper deals with the evaluation of parallel processing techniques operating at the upper levels of the OSI-model using transputers in a parallel co-processor. It is shown that the performance problem is highly dependent on the structure of the protocol stack and its implementation. With the object-oriented modularization of the protocol stack, an architecture of a possible co-processor using transputers is considered and its performance is considered adequate. An ideal configuration is briefly presented. A final performance appraisal of the parallelism effect is discussed with some insight into the future.

Computer Communication Networks↗

Developing a system for surgical audit.

A system for surgical audit, which has been developed during a 6 year period in an active surgical unit of a teaching hospital, is described. Following a review of the first 3 years of our computerized audit, major modifications to the audit processes and computer program were made. The key lessons for systematic practical surgical audit include the collection of essential data only, establishing audit processes within current department practices, verification of data by consultants, and the provision of incentives for all users. The current system is proving a valuable resource for quality assurance, surgical training and departmental management.

Computer Systems↗

MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics.

BACKGROUND: The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5-6,000 genes of which nearly 1,000 have an uncertain function. Their gross influence on the behaviour of the cell can be observed using large-scale metabolomic studies. The metabolomic data produced need to be structured and annotated in a machine-usable form to facilitate the exploration of the hidden links between the genes and their functions. DESCRIPTION: MeMo is a formal model for representing metabolomic data and the associated metadata. Two predominant platforms (SQL and XML) are used to encode the model. MeMo has been implemented as a relational database using a hybrid approach combining the advantages of the two technologies. It represents a practical solution for handling the sheer volume and complexity of the metabolomic data effectively and efficiently. The MeMo model and the associated software are available at http://dbkgroup.org/memo/. CONCLUSION: The maturity of relational database technology is used to support efficient data processing. The scalability and self-descriptiveness of XML are used to simplify the relational schema and facilitate the extensibility of the model necessitated by the creation of new experimental techniques. Special consideration is given to data integration issues as part of the systems biology agenda. MeMo has been physically integrated and cross-linked to related metabolomic and genomic databases. Semantic integration with other relevant databases has been supported through ontological annotation. Compatibility with other data formats is supported by automatic conversion.

Computer Simulation↗

Implementation of a patient-centred and physician-oriented healthcare information system.

Integration of information has enabled expeditious operation in air transfer, banking, shopping, and stock brokerage, but not in healthcare. Existing health information systems (HIS) are concerned too much with departmental performance and charge billing, and neglect the end users--the patients and the physicians. The resultant HIS then has divergent operation to antagonize the physicians, and has fragmented data to the disadvantage of patients. Recognizing the problems and the trend of HIS, this study proposed and implemented a patient-centred and physician-oriented HIS in a Urology clinic. The proposed HIS had patient care as its core, and accurately coded the patient's diagnoses and therapy information. It also offered a friendly environment and complete function for the physician to administrate medical records and to provide healthcare services. The HIS had client/server structure and an open system to protect the hardware investment and the software implementation. It will be the key to success in complete hospital environments.

Hospital Information Systems↗

On the way to a Web based hospital information system: concepts for the use of a medical data dictionary to present context sensitive information in an intranet environment.

Many authors have promoted the www-paradigm to build modern hospital information systems. However currently web-based applications are better suited to information "browsing" than to build complex data entry features. This prompted us to start with our first web based developments inside the Giessen University Hospital Information System in the field of pure presentation of stored knowledge and information. This article describes the concepts which will be used in Giessen to convert available information sources to the www paradigm and to implement context-sensitive knowledge presentation mechanisms inside the clinical information system. The approach is based upon a web-based medical data dictionary server. The data dictionary is used to map terms of interest, chosen from the clinical user during work with a HIS-application, to a semantic network of relationships. The dictionary server will follow those semantic links in order to find and display the webpages, which are linked to the subject.

Dictionaries as Topic↗

Clinical information systems: strategic imperatives driving IDNs forward.

Reviewing the "state of the art" of clinical information systems in healthcare, one can't help but be struck by how many promises remain unfulfilled. Yes, there have been advances in electronic medical information systems in the past three decades, but in many ways, the same problems exist today that have existed all along. Implementation of clinical information systems (CIS) still requires major changes in workflow. And those core problems continue to dog the progress of integrated healthcare delivery systems, which are struggling to demonstrate value to purchasers, payers, providers, and consumers as they aggregate vertically and horizontally across the continuum. At the same time, mastering the "people" issues, those that revolve around how technology is integrated into the clinical practice of medicine, continues to be the key success factor for producing a usable solution, even with all the advances in hardware and software.

Computer Communication Networks↗