[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.

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.

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.

Secondary use of health care data and left-over biosamples within the 'Medical Informatics Initiative' (MII): a quasi-randomized controlled evaluation of patient perceptions and preferences regarding the consent process.

Background: Data collected during routine health care and ensuing analytical results bear the potential to provide valuable information to improve the overall health care of patients. However, little is known about how patients prefer to be informed about the possible usage of their routine data and/or biosamples for research purposes before reaching a consent decision. Specifically, we investigated the setting, the timing and the responsible staff for the information and consent process.

The generic Informed Consent Service gICS: implementation and benefits of a modular consent software tool to master the challenge of electronic consent management in research.

Background: Defining and protecting participants' rights is the aim of several ethical codices and legal regulations. According to these regulations, the Informed Consent (IC) is an inevitable element of research with human subjects. In the era of "big data medicine", aspects of IC become even more relevant since research becomes more complex rendering compliance with legal and ethical regulations increasingly difficult.

The Ambivalence of Early Diagnosis - Returning Results in Current Alzheimer Research.

Objectives: Based on an analysis of the potential consequences of disclosing AD suspicions from respective research and using the research ethical principle of non-maleficence, the authors of this paper argue for the thesis that the benefits of early AD detection in research outweigh the risk of potential adverse effects only in cases where studies are conducted with symptomatic people actively seeking for support, e.g. as they utilize the services of memory clinics.

Systems Medicine: hype or revolution?

Research and innovation in healthcare can change existing practices aiming at constant improvement of diagnosis, treatment and prevention. As a new holistic approach Systems Medicine (SM) may revolutionize the healthcare system. This paper analyzes ethical and economic obstacles of SMs development from a niche innovation to a standard solution.

Cohort profile: Greifswald approach to individualized medicine (GANI_MED).

Background: Individualized Medicine aims at providing optimal treatment for an individual patient at a given time based on his specific genetic and molecular characteristics. This requires excellent clinical stratification of patients as well as the availability of genomic data and biomarkers as prerequisites for the development of novel diagnostic tools and therapeutic strategies. The University Medicine Greifswald, Germany, has launched the "Greifswald Approach to Individualized Medicine" (GANI_MED) project to address major challenges of Individualized Medicine.

Implications of the incidentalome for clinical pharmacogenomics.

Incidental findings have long posed challenges for healthcare providers, but the scope and scale of these challenges have increased with the introduction of new technologies. This article assesses the impact of incidental findings on the introduction of prospective pharmacogenomic testing into clinical use. Focusing on the challenges of the incidentalome, the large set of incidental findings potentially generated through genotyping, the paper argues that provisional approaches to managing incidental findings may be implemented if necessary to allow benefits of pharmacogenomic testing to be realized in the clinical setting.

Psychosocial consequences and severity of disclosed incidental findings from whole-body MRI in a general population study.

Objectives: Little is known about the psychosocial impact and subjective interpretation of communicated incide ntal findings from whole-body magnetic resonance imaging (wb-MRI). This was addressed with this general population study.

Methods: Data was based on the Study of Health in Pomerania (SHIP), Germany.

Comparing different scientific approaches to personalized medicine: research ethics and privacy protection.

In this article, two different scientific approaches to personalized medicine are compared. Biorepository at Vanderbilt University (BioVU) is a genomic biorepository at Vanderbilt University Medical Center in Nashville, TN, USA. Genetic biosamples are collected from leftover clinical blood samples; medical information is derived from an electronic medical records.