Suchergebnisse

Technische Assistenzsysteme können körperbezogen oder raumbezogen (z.B. in der Wohnung) gesundheitsrelevante Daten bei älteren Menschen aufnehmen, analysieren und gegebenenfalls weiterleiten. Ihre Aufgaben umfassen unter anderem die Alarmierung und Notfallidentifikation sowie die Unterstützung bei Erkrankungen und Funktionsdefiziten. Sie werden auch für nicht mit der Gesund-heitsversorgung in Zusammenhang stehende Zwecke verwendet. Bei der Entwicklung altersgerechter technischer Assistenzsysteme gab es erhebliche Fortschritte. Es ist zu erwarten, dass diese zu neuen Lebensweisen und neuen Versorgungsformen führen und dass sich das persönliche Umfeld einer Person (und hier insbesondere die Wohnung) zum neuen, zusätzlichen Gesundheitsstandort entwickeln wird. Es ist weiterhin zu erwarten, dass durch die Nutzung solcher Systeme neue diagnostische und therapeutische Verfahren entwickelt werden können, die verbesserte Möglichkeiten der Pflege als auch der ärztlichen Versorgung erwarten lassen und die zu einer längeren selbstständigen Lebensführung beitragen können. Neue Herausforderungen ergeben sich im Datenschutz, bei der informationellen Selbstbestimmung und bei der Finanzierung. Auch bei der Nutzung technischer Assistenzsysteme geht es darum, zu einer möglichst langen selbstständigen Lebensführung und zu einem aktiven Altern in Selbst- und Mitverantwortung beizutragen. Ob und inwieweit dies der Fall ist, muss weiter belegt werden. Hierzu sind nach wissenschaftlichen Standards geplante Studien notwendig, welche Aspekte wie diagnostische Relevanz und therapeutische Wirksamkeit sowie Lebensqualität untersuchen.

Dieses Open Access Buch erläutert, wie das Zusammenwirken von Menschen, Tieren und Pflanzen einerseits und Maschinen andererseits mit der zunehmenden Digitalisierung und durch das Zusammenwirken von natürlicher und künstlicher Intelligenz zukünftig aussehen wird und inwieweit sich Umfang und Intensität der neuen Synergien bestimmen lassen. Die hohe Komplexität der weitgefächerten Thematik soll in drei Anwendungsgebieten behandelt werden: in Medizin und Gesundheitsversorgung, in physischen und virtuellen Mobilitätsformen sowie in der Kooperation mit Tieren und Pflanzen in der Landwirtschaft. Dabei werden methodisch-technische sowie rechtliche und ethische Aspekte thematisiert.

In the following article, the digitisation of a complexly structured geographical area is
described. The digitisation is accomplished independently of access to specialized hard- and software through the use of the KONMAP program. The resulting material can not only be further processed with the cartographic program MAP-MASTER but also can be enhanced with labels and values from SPSS/PC+ files that are available through the SPSS/PC+ MAPPING interface. How this can be done is illustrated in an example using actual data.

The International Academy of Health Sciences Informatics (IAHSI) is the Academy of the International Medical Informatics Association (IMIA). As an international forum for peers in biomedical and health informatics, the Academy shall play an important role in exchanging knowledge, providing education and training, and producing policy documents. A major priority of the Academy's activities in its inaugural phase was to define its strategy and focus areas in accordance with its objectives and to prioritize the Academy's work, which can then be transferred to respective taskforces. This document reflects the major outcomes of intensive discussions that occurred during 2019. It was presented at the Academy's 3rd Plenary on August 25th, 2019, in Lyon, France. Regardless of the 'living nature' of the strategy and focus areas document, it was concluded during the Plenary that the first version, which will be used as a base for decisions on the Academy's future activities, should be made available to a broad audience. Three out of eight 'Visions for IAHSI', presented in the IMIA Yearbook of Medical Informatics 2018, were identified as central for developing, implementing, and evaluating the Academy's strategic directions: (1) advise governments and organizations on developing health and health sciences through informatics, (2) stimulate progress in biomedical and health informatics research, education, and practice, and (3) share and exchange knowledge. Taskforces shall be implemented to work in the following areas, which were considered as priority themes: (1) artificial intelligence in health: future collaboration of entities with natural and with artificial intelligence in health care, and (2) current landscape of standards for digital health. Taskforces are now being established. Besides specific key performance indicators, suggested for monitoring the work of theses taskforces, the strategy to monitor the progress of the Academy itself has to be measured by relevant and acceptable metrics. ; Sí

Background Many countries adopt eHealth applications to support patient-centered care. Through information exchange, these eHealth applications may overcome institutional data silos and support holistic and ubiquitous (regional or national) information logistics. Available eHealth indicators mostly describe usage and acceptance of eHealth in a country. The eHealth indicators focusing on the cross-institutional availability of patient-related information for health care professionals, patients, and care givers are rare. Objectives This study aims to present eHealth indicators on cross-institutional availability of relevant patient data for health care professionals, as well as for patients and their caregivers across 14 countries (Argentina, Australia, Austria, Finland, Germany, Hong Kong as a special administrative region of China, Israel, Japan, Jordan, Kenya, South Korea, Sweden, Turkey, and the United States) to compare our indicators and the resulting data for the examined countries with other eHealth benchmarks and to extend and explore changes to a comparable survey in 2017. We defined "availability of patient data" as the ability to access data in and to add data to the patient record in the respective country. Methods The invited experts from each of the 14 countries provided the indicator data for their country to reflect the situation on August 1, 2019, as date of reference. Overall, 60 items were aggregated to six eHealth indicators. Results Availability of patient-related information varies strongly by country. Health care professionals can access patients most relevant cross-institutional health record data fully in only four countries. Patients and their caregivers can access their health record data fully in only two countries. Patients are able to fully add relevant data only in one country. Finland showed the best outcome of all eHealth indicators, followed by South Korea, Japan, and Sweden. Conclusion Advancement in eHealth depends on contextual factors such as health care organization, national health politics, privacy laws, and health care financing. Improvements in eHealth indicators are thus often slow. However, our survey shows that some countries were able to improve on at least some indicators between 2017 and 2019. We anticipate further improvements in the future.