Evaluation rechnergestützter Pflegedokumentation auf vier Pilotstationen (PIK-Studie 2000/2001)

Seit Jahren besteht der Wunsch, die Pflegedokumentation durch EDV-Einsatz zu unterstützen, um die Qualität der Dokumentation zu erhöhen, Aufwände für die Pflegekräfte zu reduzieren, pflegerische Abläufe zu unterstützen, und Auswertungsmöglichkeiten für Pflegemanagement und Pflegeforschung zu verbessern. Die Einführung des rechnergestützten Pflegedokumentationssystems PIK auf vier Pilotstationen am Universitätsklinikum Heidelberg wird seit 1998 durch eine umfassende Evaluationsstudie begleitet. Ziel der Studie ist es, Erfolgsfaktoren und Auswirkungen rechnergestützter Pflegedokumentationssysteme zu ermitteln, und Empfehlungen für eine optimale Einführungsstrategie aufzustellen. Daher werden unter anderen die Auswirkungen der PIK-Einführung auf Qualität und Vollständigkeit der Pflegedokumentation, auf die Akzeptanz des Pflegeprozesses, und auf die Akzeptanz von Computern allgemein und in der Pflege untersucht. Ausserdem werden die Akzeptanz von PIK bei pflegerischen und nicht-pflegerischen Mitarbeitern sowie die Auswirkungen auf die multiprofessionelle Kooperation berücksichtigt. Der vorliegende Forschungsbericht berichtet umfassend über die Planung, Durchführung und Auswertung der Evaluation von PIK. Als Ergebnis der Studie wird unter Abwägung aller bisherigen Erkenntnisse empfohlen, ein rechnergestütztes Pflegedokumentationssystem mittelfristig am Klinikum Heidelberg einzuführen

Supporting Patient Care by Using Innovative Information Technology: A Case Study from Clinical Psychiatry

Healthcare institutions, such as hospitals, are made up of highly distributed and complex organizational structures and processes. As such there is an increasingly large number of information interfaces between various involved healthcare professionals, making efficient organization of patient care and disease management difficult. Innovative information technology, such as electronic patient record systems, may have the potential to support patient care by improving information logistics and information management. In this paper, we present a case study dealing with the use of information technology in clinical psychiatry. We first present the results of a detailed systems analysis which showed large deficiencies within multi-professional patient care in the psychiatry department, such as missing central representation of the course of patient care, and an enormous amount of oral communication. These deficiencies can be overcome by a central patient record, supporting all phases of care and all professional groups. We present an electronic record system, implementing these recommendations, as an example to support the nursing part of the process of care. Such a system was introduced and evaluated on two psychiatric wards of the University Medical Center Heidelberg. The evaluation results show improved quality of documentation and a better support of the care process.Electronic information services, Medical records, Pharmacoeconomics, Psychiatric disorders

Benchmarking von Krankenhausinformationssystemen – eine vergleichende Analyse deutschsprachiger Benchmarkingcluster

Benchmarking is a method of strategic information management used by many hospitals today. During the last years, several benchmarking clusters have been established within the German-speaking countries. They support hospitals in comparing and positioning their information system’s and information management’s costs, performance and efficiency against other hospitals. In order to differentiate between these benchmarking clusters and to provide decision support in selecting an appropriate benchmarking cluster, a classification scheme is developed. The classification scheme observes both general conditions and examined contents of the benchmarking clusters. It is applied to seven benchmarking clusters which have been active in the German-speaking countries within the last years. Currently, performance benchmarking is the most frequent benchmarking type, whereas the observed benchmarking clusters differ in the number of benchmarking partners and their cooperation forms. The benchmarking clusters also deal with different benchmarking subjects. Assessing costs and quality application systems, physical data processing systems, organizational structures of information management and IT services processes are the most frequent benchmarking subjects. There is still potential for further activities within the benchmarking clusters to measure strategic and tactical information management, IT governance and quality of data and data-processing processes. Based on the classification scheme and the comparison of the benchmarking clusters, we derive general recommendations for benchmarking of hospital information systems