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A multiuser MUMPS language patient/physician scheduling system for microcomputers.

A microcomputer based patient and physician scheduling system is described that accommodates the special needs unique to residency training programs. Appointments are scheduled automatically according to the type of problems the patient brings to the office as well as the differing time requirements of attending physicians and residents at various levels of training.

Appointments and Schedules↗

Discharge and referral data exchange using global standards--the SCIPHOX project in Germany.

The goal of the German project "Standardization of Communication between Information Systems in Physician Offices and Hospitals using XML" (aka SCIPHOX) in its first phase is to provide information exchange based on the Extended Markup Language XML between Hospital Information Systems (HIS) and Physician Office Systems (POS). The Clinical Document Architecture (CDA), a standard developed by the Health Level Seven organization (HL7), was chosen to serve as the "backbone" specification. The CDA is an ANSI approved document architecture for exchange of clinical information using XML. In phase I of the SCIPHOX project the proposal specifies the use of the CDA as a generalized international standard in the national context of discharge and referral letters in Germany. The specification defines how to use the CDA header and associated vocabularies by providing a translation and interpretation of the CDA header tags and provides a solution for taking local needs (insurance information etc.) into account.

Computer Systems↗

Training generative repertoires within agent-action-object miniature linguistic systems with children.

This study investigated processes responsible for generative language acquisition through the use of a miniature linguistic system. The miniature linguistic system consisted of nonsense syllables and concrete-enactive, agent-action referents. The purpose of Experiment 1 was to determine (a) whether children would recombine agent and action constituents to produce novel utterances and (b) whether children would generate further extensions of the linguistic system (e.g., agent-action-object sentences) following training of a novel syntactic construction. Four children (aged 8:8, 7:4, 4:9, and 4:5) produced novel utterances to describe untrained agent-action referents. They also progressed from agent-action learning to producing agent-action-object sentences after training on only one or two examples of this sentence type with the appropriate referents. Experiment 2 explored conditions more likely to facilitate recombinative generalization among preschoolers. In particular, how a history of lexical learning affects subsequent language learning was investigated with seven 4-year-olds. Results indicated that a history of lexical learning greatly enhanced generative production of untrained agent-action utterances. In addition, all seven children learned new syntactic rules to generate three-word utterances, regardless of the orderings of agent, action, and object words. Implications for developing efficient language remediation programs are discussed.

Child↗

Using co-occurrence network structure to extract synonymous gene and protein names from MEDLINE abstracts.

BACKGROUND: Text-mining can assist biomedical researchers in reducing information overload by extracting useful knowledge from large collections of text. We developed a novel text-mining method based on analyzing the network structure created by symbol co-occurrences as a way to extend the capabilities of knowledge extraction. The method was applied to the task of automatic gene and protein name synonym extraction. RESULTS: Performance was measured on a test set consisting of about 50,000 abstracts from one year of MEDLINE. Synonyms retrieved from curated genomics databases were used as a gold standard. The system obtained a maximum F-score of 22.21% (23.18% precision and 21.36% recall), with high efficiency in the use of seed pairs. CONCLUSION: The method performs comparably with other studied methods, does not rely on sophisticated named-entity recognition, and requires little initial seed knowledge.

Algorithms↗

An infrastructure for Integrated Electronic Health Record services: the role of XML (Extensible Markup Language).

BACKGROUND: The sharing of information resources is generally accepted as the key to substantial improvements in productivity and better quality of care. In addition, due to the greater mobility of the population, national and international healthcare networks are increasingly used to facilitate the sharing of healthcare-related information among the various actors of the field. In the context of HYGEIAnet, the regional health telematics network of Crete, an Integrated Electronic Health Record environment has been developed to provide integrated access to online clinical information, accessible throughout the island. OBJECTIVES: To make available comprehensive medical information about a patient by means of incorporating all the distributed and heterogeneous health record segments into an Integrated Electronic Health Record that can be viewed on-line through a unified user interface and visualization environment. METHODS: The technological approach for implementing this Integrated Electronic Health Record environment is based on the HYGEIAnet Reference Architecture, which provides the necessary framework for the reuse of services, components, and interfaces. Seamless presentation of information is achieved by means of the Extensible Markup Language (XML), while its underlying capabilities allow for dynamic navigation according to personalized end-user preferences and authorities. RESULTS: The Integrated Electronic Health Record environment developed in HYGEIAnet provides the basis for consistent and authenticated access to primary information over the Internet in order to support decision-making. Primary information is always kept at the place where it has been produced, and is maintained by the most appropriate clinical information system, contrasting traditional store and forward techniques, or centralized clinical data repositories. CONCLUSIONS: Since documents are much more easily accessible rather than data inside a database, Extensible Markup Language has the potential of becoming a very cheap technology provided, of course, that the underlying Healthcare Information Infrastructure exists. XML can be introduced incrementally and its implementation is completely transparent to the end user.

Databases as Topic↗

Using the eXtensible Markup Language (XML) in a regional electronic patient record for patients with malignant diseases.

Communication between different institutions which are responsible for the treatment of the same patient is of outstanding significance, especially in the field of tumor diseases. Regional electronic patient records could support the co-operation of different institutions by providing ac-cess to all necessary information whether it belongs to the own institution or to a partner. The Department of Medical Informatics, University of Heidelberg is performing a project in co-operation with the Thoraxclinic-Heidelberg and the Department of Clinical Radiology, University of Heidelberg with the goal: to define an architectural concept for interlinking the electronic patient record of the two clinical institutions to build a common virtual electronic patient record and carry out an exemplary implementation, to examine composition, structure and content of medical documents for tumor patients with the aim of defining an XML-based markup language allowing summarizing overviews and suitable granularities, and to integrate clinical practice guidelines and other external knowledge with the electronic patient record using XML-technologies to support the physician in the daily decision process. This paper will show, how a regional electronic patient record could be built on an architectural level and describe elementary steps towards a on content-oriented structuring of medical records.

Computer Security↗

Effect of intensive training on auditory processing and reading skills.

This study assessed the ability of seven children to accurately judge relative durations of auditory and visual stimuli before and after participation in a language remediation program. The goal of the intervention program is to improve the children's ability to detect and identify rapidly changing auditory stimuli, and thereby improve their language-related skills. Children showed improved accuracy on a test of auditory duration judgement following the intervention without analogous improvements in the visual domain, supporting the assertion that intensive training with modified speech improves auditory temporal discrimination. However, these improvements did not generalize to reading skills, as assessed by standard measures of phonological awareness and non-word reading.

Awareness↗

A radiology department intranet: development and applications.

An intranet is a "private Internet" that uses the protocols of the World Wide Web to share information resources within a company or with the company's business partners and clients. The hardware requirements for an intranet begin with a dedicated Web server permanently connected to the departmental network. The heart of a Web server is the hypertext transfer protocol (HTTP) service, which receives a page request from a client's browser and transmits the page back to the client. Although knowledge of hypertext markup language (HTML) is not essential for authoring a Web page, a working familiarity with HTML is useful, as is knowledge of programming and database management. Security can be ensured by using scripts to write information in hidden fields or by means of "cookies." Interfacing databases and database management systems with the Web server and conforming the user interface to HTML syntax can be achieved by means of the common gateway interface (CGI), Active Server Pages (ASP), or other methods. An intranet in a radiology department could include the following types of content: on-call schedules, work schedules and a calendar, a personnel directory, resident resources, memorandums and discussion groups, software for a radiology information system, and databases.

Computer Communication Networks↗

An analysis of linguistic styles by inferred age in tv dramas.

A language analysis program, Linguistic Inquiry and Word Count (LIWC), was successful in identifying various psychological variables. This study investigated the relationship between spoken language and age inferred from drama scripts of 162 characters, analyzed by the Korean-LIWC across 4 age categories (10-19, 20-39, 40-59, and 60-79 years). Analysis indicated that younger characters use fewer phrases, morphemes, nouns, auxiliary words, and adverbs than older characters, suggesting less cognitive development of younger characters. In addition, younger characters used less positive words for emotion and achievement than older characters. These data appear contrary to the negative stereotypes of aging people.

Achievement↗

[Medical data in pathology--evaluation of a large collection. (530,000 diagnoses coded in SNOMED II)].

The paper is describing the design and the performance of the computerized system, from its introduction in 1982 until the present day. The first device, using the MUMPS language on a mini-computer, followed by a VAX computer with terminals have been replaced in 1996 by an application program, using ORACLE, based on the client-server concept. The content and the particularities of the different data groups are discussed, concerning the functional components of the data bank: 'PATIENTS', 'SPECIMEN', 'SENDERS', 'REPORT' and 'DIAGNOSES'. By means of examples, we demonstrate the chronological evolution of the registration of persons, the distribution of the diagnoses according to the organ systems, the possibilities to combine various lesions and an algorithm to assure that a given lesion is registered only once per patient. In first place, the efficiency and the reliability of manual coding by a pathologist using the Systematized Nomenclature of Medicine (SNOMED; 2nd edition [1979/1982]) is discussed. The data bank currently contains 530,000 diagnoses, distributed among on SNOMED's five main modules, obtained from 1500 autopsies, 140,000 surgical and 180,000 cytological specimens. Concluding the article, an analysis is made of desirable developments in the future with the aim of a better integration of the acquired information in routine work and an enhanced use of the medical content for epidemiological research or statistical analysis.

Abstracting and Indexing↗

Finite H-systems with 3 test tubes are not predictable.

Finite H-systems with n test tubes are splicing systems of n test tubes over a common molecular alphabet, sigma, with a filter Fi [symbol: see text] sigma for each test tube. Initially, arbitrary many copies of molecules and enzymes (splicing rules) from a finite set of molecules and enzymes are given to the test tubes that produce new molecules by splicing and filtering. It is known that any formal language can be generated by a finite H-system with 9 test tubes and that the results of finite H-systems with 6 test tubes are unpredictable. Here we present a rather simple proof that the results of finite H-systems with only 3 test tubes are unpredictable and that 4 test tubes suffices to generate any formal language.

Algorithms↗