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Methods and pitfalls in searching drug safety databases utilising the Medical Dictionary for Regulatory Activities (MedDRA).

The Medical Dictionary for Regulatory Activities (MedDRA) is a unified standard terminology for recording and reporting adverse drug event data. Its introduction is widely seen as a significant improvement on the previous situation, where a multitude of terminologies of widely varying scope and quality were in use. However, there are some complexities that may cause difficulties, and these will form the focus for this paper. Two methods of searching MedDRA-coded databases are described: searching based on term selection from all of MedDRA and searching based on terms in the safety database. There are several potential traps for the unwary in safety searches. There may be multiple locations of relevant terms within a system organ class (SOC) and lack of recognition of appropriate group terms; the user may think that group terms are more inclusive than is the case. MedDRA may distribute terms relevant to one medical condition across several primary SOCs. If the database supports the MedDRA model, it is possible to perform multiaxial searching: while this may help find terms that might have been missed, it is still necessary to consider the entire contents of the SOCs to find all relevant terms and there are many instances of incomplete secondary linkages. It is important to adjust for multiaxiality if data are presented using primary and secondary locations. Other sources for errors in searching are non-intuitive placement and the selection of terms as preferred terms (PTs) that may not be widely recognised. Some MedDRA rules could also result in errors in data retrieval if the individual is unaware of these: in particular, the lack of multiaxial linkages for the Investigations SOC, Social circumstances SOC and Surgical and medical procedures SOC and the requirement that a PT may only be present under one High Level Term (HLT) and one High Level Group Term (HLGT) within any single SOC. Special Search Categories (collections of PTs assembled from various SOCs by searching all of MedDRA) are limited by the small number available and by lack of clarity about criteria applied in their construction. Difficulties in database searching may be addressed by suitable user training and experience, and by central reporting of detected deficiencies in MedDRA. Other remedies may include regulatory guidance on implementation and use of MedDRA. Further systematic review of MedDRA is needed and generation of standardised searches that may be used 'off the shelf' will help, particularly where the same search is performed repeatedly on multiple data sets. Until these enhancements are widely available, MedDRA users should take great care when searching a safety database to ensure that cases are not inadvertently missed.

Adverse Drug Reaction Reporting Systems↗

PACS in practice: the status of the PACS project at the St. Radboud University Hospital. Part B. A digital image archive: information analysis and development.

In accordance with the bottom-up approach in the field of the Picture Archiving and Communication System (PACS), a pilot study was performed with regard to the archiving of digital diagnostic images. A prototype has been developed to determine what information has to be stored in the digital archive and what requirements the users have in accessing these data. Firstly an organization analysis of the department of diagnostic radiology with respect to the archiving of images was performed. A variant of the ISAC method was used for this purpose. This resulted in a set of activity diagrams. Thereafter an information analysis was performed according to the Nijssen Informal Analysis Method (NIAM). This resulted in a Conceptual Schema (CS). Two other prototypes of relational Image Database Management Systems (IDBMS) are described and a description of a general modular structure of an IDBMS is given. By means of a Prototype of a Digital Archive (PDA) the department of diagnostic radiology was shown what might be expected from a digital archive and how the information will be presented to the users.

Database Management Systems↗

Approaches to the construction of a medical informatics glossary and thesaurus.

In a project concerned with establishing a glossary and thesaurus for the medical informatics domain, various approaches to the task have been investigated. The developers take the view that a glossary should be a coherent system of terms, reflecting a coherent system of concepts that underlies a body of knowledge about a domain. A framework for the conceptual analysis of the concepts/terms underlying the domain has been developed. The emphasis of this framework is on how the concepts relate together. This work has given an important insight into how the practical task of establishing well-structured vocabularies for a field can be better achieved. An eclectic approach to term selection was adopted. Criteria for assessing what constitutes good definitions for concepts in a field were examined. Using all these approaches glossaries, thesauri and domain models of the medical informatics field are being developed. Another aspect of our work of particular interest is the development of attributed definitions from which inheritance patterns can be defined.

Data Collection↗

Data mining and healthcare informatics.

OBJECTIVE: To acquaint members of the Academy with a relatively recent development in the area of data exploration and statistical analysis. METHODS: A review of the concepts and methods inherent in data-mining with a special emphasis on the those methods applicable to predictive modeling. RESULTS: Data-mining is demonstrated to be a useful tool for researchers in those circumstances where large amounts of information are available. CONCLUSIONS: With the advent and proliferation of on-line data collection, truly massive databases are now available to health care researchers. In that situation, data-mining methods yield some unique opportunities to researchers who wish to develop prediction models and to establish associations.

Database Management Systems↗

Development of standards and data quality control.

Health care expenses represent 6 to 10% of the Gross National Product in most European countries. This budget exceeds by far those devoted to Defence or Education. The rising cost of health care concerns all governments. In each country of the European Community, measures were and will further be taken in order to increase efficiency in the delivery of health care. Recent advances in information technology offer new opportunities to collect, process and exchange data to document health practices. In Belgium the Ministry of Public Health collects uniform medical summaries for all acute care hospital inpatients, while detailed health care activities are documented for each patient through a very precise billing system. The use of Minimal Clinical Data and Minimal Nursing Data Sets in hospitals became mandatory four years ago. The fundaments for any data collection is reliability, no matter what the preconceived aim was.

Belgium↗

Software quality assessment for health care systems.

The problem of defining a quality model to be used in the evaluation of the software components of a Health Care System (HCS) is addressed. The model, based on the ISO/IEC 9126 standard, has been interpreted to fit the requirements of some classes of applications representative of Health Care Systems, on the basis of the experience gained both in the field of medical Informatics and assessment of software products. The values resulting from weighing the quality characteristics according to their criticality outline a set of quality profiles that can be used both for evaluation and certification.

Delivery of Health Care↗

A new approach for assessment of IT programs in health care.

The efficiency of health care programs, on the level of a community, results not only from reducing hospitalization or drugs costs but also from the number of days of health and life gained. This gain can be estimated in monetary terms if we accept that, at least partially, the Gross Domestic Product results from the human activity. In the Center for Health Information and Statistics, Ministry of Health Bucharest. Romania, a methodology based on these premises was developed and non-officially used in assessment of several health programs. In this paper, the core of this methodology, as well as some applications are shown.

Ambulances↗