WING – Entering a New Phase of Electronic Data Processing at the Gießen University Hospital

An object-oriented design for automated navigation of semantic networks inside a medical data dictionary

In this paper we present a data dictionary server for the automated navigation of information sources. The underlying knowledge is represented within a medical data dictionary. The mapping between medical terms and information sources is based on a semantic network. The key aspect of implementing the dictionary server is how to represent the semantic network in a way that is easier to navigate and to operate, i.e. how to abstract the semantic network and to represent it in memory for various operations. This paper describes an object-oriented design based on Java that represents the semantic network in terms of a group of objects. A node and its relationships to its neighbors are encapsulated in one object. Based on such a representation model, several operations have been implemented. They comprise the extraction of parts of the semantic network which can be reached from a given node as well as finding all paths between a start node and a predefined destination node. This solution is independent of any given layout of the semantic structure. Therefore the module, called Giessen Data Dictionary Server can act independent of a specific clinical information system. The dictionary server will be used to present clinical information, e.g. treatment guidelines or drug information sources to the clinician in an appropriate working context. The server is invoked from clinical documentation applications which contain an infobutton. Automated navigation will guide the user to all the information relevant to her/his topic, which is currently available inside our closed clinical network.

Computer based nursing documentation means to achieve the goal

New functions have been integrated in the Giessen Hospital Information System WING to support the classification of all intensive care patients into the Therapeutic Intervention Scoring System (TISS). The use of those functions has been pushed when health insurance bodies demanded evidence for the correct classification of ICU beds. This article presents an overview on this development from the start in just one intensive care unit to the complete coverage of six intensive care units and three intensive monitoring units with a total of 109 beds. For those units complete TISS data has been documented for more than a year now at a detailed level. On average 14 interventions have been recorded per patient and day, accumulating to a database with more than a million entries. We describe the experiences made during introduction and the different front-end applications we used to achieve the goal. Results gained from the huge database and their implications for our future work are discussed. TISS documentation is now an established routine on every intensive care unit of our University hospital. It has been implemented without major financial or manpower investments and no specific intensive care information system has been needed. Establishing this type of basic care documentation made nurses aware of their activities, so that now they consider electronic care documentation to be in their very own interest. The next goal has been set by nurses themselves, they want to establish intervention based care documentation on normal wards as well. We think that step by step we will thus be able to achieve a more complete electronic patient record.

Knowledge retrieval as one type of knowledge-based decision support in medicine: results of an evaluation study

We report on a prospective, prolective observational study, supplying information on how physicians and other health care professionals retrieve medical knowledge on-line within the Heidelberg University Hospital information system. Within this hospital information system, on-line access to medical knowledge has been realised by installing a medical knowledge server in the range of about 24 GB and by providing access to it by health care professional workstations in wards, physicians' rooms, etc. During the study, we observed about 96 accesses per working day. The main group of health care professionals retrieving medical knowledge were physicians and medical students. Primary reasons for its utilisation were identified as support for the users' scientific work (50%), own clinical cases (19%), general medical problems (14%) and current clinical problems (13%). Health care professionals had accesses to medical knowledge bases such as MEDLINE (79%), drug bases ('Rote Liste', 6%), and to electronic text books and knowledge base systems as well. Sixty-five percent of accesses to medical knowledge were judged to be successful. In our opinion, medical knowledge retrieval can serve as a first step towards knowledge processing in medicine. We point out the consequences for the management of hospital information systems in order to provide the prerequisites for such a type of knowledge retrieval.