Implementation and Analysis of Two Knowledge Base Approaches for the Treatment of Chronic Wounds
(2020)
Although national eHealth strategies have existed now for more than a decade in many countries, they have been implemented with varying success. In Germany, the eHealth strategy so far has resulted in a roll out of electronic health cards for all citizens in the statutory health insurance, but in no clinically meaningful IT-applications. The aim of this study was to test the technical and organisation feasibility, usability, and utility of an eDischarge application embedded into a laboratory Health Telematics Infrastructure (TI). The tests embraced the exchange of eDischarge summaries based on the multiprofessional HL7 eNursing Summary standard between a municipal hospital and a nursing home. All in all, 36 transmissions of electronic discharge documents took place. They demonstrated the technical-organisation feasibility and resulted in moderate usability ratings. A comparison between eDischarge and paper-based summaries hinted at higher ratings of utility and information completeness for eDischarges. Despite problems with handling the electronic health card, the proof-of-concept for the first clinically meaningful IT-application in the German Health TI could be regarded as successful.
This paper describes the data mining method of association analysis within the framework of Knowledge Discovery in Databases (KDD) with the aim to identify standard patterns of nursing care. The approach is application-oriented and used on nursing routine data of the method LEP nursing 2. The increasing use of information technology in hospitals, especially of nursing information systems, requires the storage of large data sets, which hitherto have not always been analyzed adequately. Three association analyses for the days of admission, surgery and discharge, have been performed. The results of almost 1.5 million generated association rules indicate that it is valid to apply association analysis to nursing routine data. All rules are semantically trivial, since they reflect existing knowledge from the domain of nursing. This may be due either to the method LEP Nursing 2, or to the nursing activities themselves. Nonetheless, association analysis may in future become a useful analytical tool on the basis of structured nursing routine data.
Hospital information systems (HIS) should give support to nurses in their clinical and managerial duties. Though there are statistical data on the current use of HIS systems we know only little about the numbers of nursing modules implemented. We therefore conducted a nationwide survey in Germany (n = 2182) on the current state and future plans of HIS modules including nursing applications (response rate of 27.6 %). The findings show that management applications (84 % accounting) are still more frequent than clinical applications, in particular clinical patient record systems (19 %). What applied for HIS modules in general held also true for nursing on a lower level. ‘Whereas 51 %of the hospitals had rostering systems in place only 6 % used care planning software. Priorities and plans for the future reveal no change in the rank órder of systems. We argue that in order for clinical documentation and planning systems to catch up they must be immediately rewarding for the clinicians in their daily need for information.