Implementing telemedicine with 5G technologies in a nursing home for reducing emergency admissions- study protocol of a mixed-methods study.

Background: By transmitting various types of data, telemedical care enables the provision of care where physicians and patients are physically separated. In nursing homes, telemedicine has the potential to reduce hospital admissions in nonemergency situations. In this study, telemedicine devices were implemented with the new 5G mobile communications standard in selected wards of a large nursing home in Northwest Germany.

Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study.

Background: Clinical decision support systems (CDSSs) are increasingly being introduced into various domains of health care. Little is known so far about the impact of such systems on the health care professional-patient relationship, and there is a lack of agreement about whether and how patients should be informed about the use of CDSSs.

Objective: This study aims to explore, in an empirically informed manner, the potential implications for the health care professional-patient relationship and to underline the importance of this relationship when using CDSSs for both patients and future professionals.

[Supporting medical and nursing activities with AI: recommendations for responsible design and use].

Clinical decision support systems (CDSS) based on artificial intelligence (AI) are complex socio-technical innovations and are increasingly being used in medicine and nursing to improve the overall quality and efficiency of care, while also addressing limited financial and human resources. However, in addition to such intended clinical and organisational effects, far-reaching ethical, social and legal implications of AI-based CDSS on patient care and nursing are to be expected. To date, these normative-social implications have not been sufficiently investigated.

[Reasons for non-participation in a patient survey in the context of prehospital emergency medical care by community emergency paramedics - A retrospective observational study].

Background: In order to evaluate whether the new rescue means "community emergency paramedics" (Gemeindenotfallsanitäter [G-NFS]) relieves the emergency medical service (EMS) in the care of low-priority emergencies, the perspective of general practitioners and patients was also surveyed in a written questionnaire as part of an innovation fund project. Recruitment for participation in the study proved to be difficult. The aim of this study is to evaluate why the G-NFS decided against providing information on study participation and what measures would be necessary to include more emergency patients in surveys in the future.

[Frequency and characteristics of interventions by community paramedics on people in need of care : Analysis of 2,410 deployment protocols for people aged 65+ years].

Background: The aim of this study was to obtain a differentiated view of interventions delivered by community paramedics (Gemeindenotfallsanitäter, G‑NFS) in older people in need of care living in nursing homes and at home.

Materials And Methods: A retrospective analysis of G‑NFS documentation from 2021 with a focus on patients aged ≥65 years was performed. Data were grouped into callouts to nursing homes or private homes.

Responsibility and decision-making authority in using clinical decision support systems: an empirical-ethical exploration of German prospective professionals' preferences and concerns.

Machine learning-driven clinical decision support systems (ML-CDSSs) seem impressively promising for future routine and emergency care. However, reflection on their clinical implementation reveals a wide array of ethical challenges. The preferences, concerns and expectations of professional stakeholders remain largely unexplored.

Methodology for the Description of Socio-Technical Systems: A Case Study Approach.

The ethical implications and regulatory requirements of AI applications and decision support systems are generally the subjects of interdisciplinary research. Case studies are a suitable means to prepare AI applications and clinical decision support systems for research. This paper proposes an approach that describes a procedure model and a categorization of the contents of cases for socio-technical systems.

Causes of adverse events in home mechanical ventilation: a nursing perspective.

Background: Adverse events (AE) are ubiquitous in home mechanical ventilation (HMV) and can jeopardise patient safety. One particular source of error is human interaction with life-sustaining medical devices, such as the ventilator. The objective is to understand these errors and to be able to take appropriate action.

ILEG - A Case of Recording Patient Journeys.

In 2019 the Gemeindenotfallsanitäter was introduced in the area of Oldenburg, and scientific monitoring starting 2021 with Inanspruchnahme, Leistungen und Effekte des Gemeindenotfallsanitäters. Since then, it is possible to track patient journeys, starting from the emergency call to the subsequent treatment. This short communication provides an overview of the necessary data-acquisition and dataflow from all participating institutions and its possibilities.