Developing a Change Readiness Survey for Health Technology Implementation.

Addressing the challenges of health technology implementation, this study aims to develop a survey that assesses staff readiness for change in clinical settings. The survey items were refined from 67 to 38 through a narrative literature review, expert focus groups, and cognitive interviews. The survey suggests an approach that prioritizes the user's needs in identifying barriers and facilitators to the adoption of health technology in order to ensure successful implementation by proactively addressing potential obstacles.

Alarm Management in Intensive Care: Qualitative Triangulation Study.

Background: The high number of unnecessary alarms in intensive care settings leads to alarm fatigue among staff and threatens patient safety. To develop and implement effective and sustainable solutions for alarm management in intensive care units (ICUs), an understanding of staff interactions with the patient monitoring system and alarm management practices is essential.

Objective: This study investigated the interaction of nurses and physicians with the patient monitoring system, their perceptions of alarm management, and smart alarm management solutions.

[Application possibilities of digital tools in postoperative pain therapy].

Background: Recently, digital tools, such as smartphone-based applications and the use of artificial intelligence have increasingly found their way into pain medicine. This could enable new treatment approaches in postoperative pain management. Therefore, this article provides an overview of various digital tools and their potential application options in postoperative pain management.

Staff perspectives on the influence of patient characteristics on alarm management in the intensive care unit: a cross-sectional survey study.

Background: High rates of clinical alarms in the intensive care unit can result in alarm fatigue among staff. Individualization of alarm thresholds is regarded as one measure to reduce non-actionable alarms. The aim of this study was to investigate staff's perceptions of alarm threshold individualization according to patient characteristics and disease status.

The medical profession transformed by artificial intelligence: Qualitative study.

Background: Healthcaare delivery will change through the increasing use of artificial intelligence (AI). Physicians are likely to be among the professions most affected, though to what extent is not yet clear.

Objective: We analyzed physicians' and AI experts' stances towards AI-induced changes.

Artificial Intelligence in Undergraduate Medical Education.

AI will take on an increasingly important role in medicine. Therefore, AI competencies should be taught in medical school. We investigated the inventory of AI-related courses at German medical schools.

Artificial Intelligence Competencies in Postgraduate Medical Training in Germany.

Routine medical care is to be transformed by the introduction of artificial intelligence (AI), requiring medical professionals to acquire a novel set of skills. We assessed the density of AI learning objectives and the availability of courses containing AI content in postgraduate medical education in Germany. The results reveal general paucity in AI learning objectives and content across (sub-)specialty training and continuing medical education (CME) in Germany.

Creation of an Evidence-Based Implementation Framework for Digital Health Technology in the Intensive Care Unit: Qualitative Study.

Background: Digital health technologies such as continuous remote monitoring and artificial intelligence-driven clinical decision support systems could improve clinical outcomes in intensive care medicine. However, comprehensive evidence and guidelines for the successful implementation of digital health technologies into specific clinical settings such as the intensive care unit (ICU) are scarce. We evaluated the implementation of a remote patient monitoring platform and derived a framework proposal for the implementation of digital health technology in an ICU.

A Remote Patient-Monitoring System for Intensive Care Medicine: Mixed Methods Human-Centered Design and Usability Evaluation.

Background: Continuous monitoring of vital signs is critical for ensuring patient safety in intensive care units (ICUs) and is becoming increasingly relevant in general wards. The effectiveness of health information technologies such as patient-monitoring systems is highly determined by usability, the lack of which can ultimately compromise patient safety. Usability problems can be identified and prevented by involving users (ie, clinicians).

Correction: Undergraduate Medical Competencies in Digital Health and Curricular Module Development: Mixed Methods Study.

[This corrects the article DOI: 10.2196/22161.].

Undergraduate Medical Competencies in Digital Health and Curricular Module Development: Mixed Methods Study.

Background: Owing to an increase in digital technologies in health care, recently leveraged by the COVID-19 pandemic, physicians are required to use these technologies appropriately and to be familiar with their implications on patient care, the health system, and society. Therefore, medical students should be confronted with digital health during their medical education. However, corresponding teaching formats and concepts are still largely lacking in the medical curricula.

Perceptions of Digital Health Education Among European Medical Students: Mixed Methods Survey.

Background: Digital health technologies hold promise to enhance patient-related outcomes, to support health care staff by reducing their workload, and to improve the coordination of care. As key users of digital health technologies, health care workers are crucial to enable a meaningful digital transformation of health care. Digital health literacy and digital skills should become prerequisite competencies for health professionals to facilitate the implementation and leverage the potential of digital technologies to improve health.

Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study.

Background: Due to demographic change and, more recently, coronavirus disease (COVID-19), the importance of modern intensive care units (ICU) is becoming apparent. One of the key components of an ICU is the continuous monitoring of patients' vital parameters. However, existing advances in informatics, signal processing, or engineering that could alleviate the burden on ICUs have not yet been applied.

Regulating for Bias in Medical Education - Reaction to the Pharmaceutical Industry Updated EFPIA Code of Practice.

The European Federation of Pharmaceutical Industries and Associations (EFPIA) representing the pharmaceutical industry operating in Europe, introduced three codes of conduct between 2007 and 2013, which had a common goal of self-regulating interactions with healthcare professionals and patient organisations. This former set of rules was appreciated as a first self-regulatory step, although self-regulation itself is still considered by many stakeholders as insufficient to provide thorough transparency. EFPIA agreed to replace the separate codes with a new, consolidated EFPIA Code of Practice.

Clinical Requirements of Future Patient Monitoring in the Intensive Care Unit: Qualitative Study.

Background: In the intensive care unit (ICU), continuous patient monitoring is essential to detect critical changes in patients' health statuses and to guide therapy. The implementation of digital health technologies for patient monitoring may further improve patient safety. However, most monitoring devices today are still based on technologies from the 1970s.