Programpunkter

Electronic health record (EHR) systems have faced criticism and debate as these systems can be complex and difficult for users to navigate, particularly for those who are not trained in their use. This can lead to errors and inefficiencies, negatively impacting patient care and user satisfaction.By contextualizing criticism and transforming it into constructive feedback, system developers can gain valuable insights and use this feedback to make reasonable improvements. Transforming criticism into constructive feedback requires contextual understanding for helping to identify specific areas where improvements may be needed. In this presentation, some typical examples are given about acquiring more concrete and actionable feedback on situations where users have been disappointed or when they felt that something could be working in a better way.One of the key benefits of contextual user feedback is that it allows healthcare organizations to gather a wide range of perspectives on the EHR system to prioritize improvements. Systematic collection of user feedback also helps organizations to identify areas where additional training or support may be needed.

Gyrocardiography motion sensor technology, that can be operated on smartphones with no additional hardware required, has been validated for numerous heart diseases such heart failure, aortic stenosis, atrial fibrillation and pulmonary hypertension. The talk will focus on the scientific evidence from numerous clinical studies and demonstrating clinical utility in several use cases.

The panel-discussion will focus on the societal perspective of how to ensure introduction of useful and affordable solutions in social / health care?Is there an overlap between evaluation frameworks and the MDR?What type of evidence of usefulness should be required at different stages of implementation?Is there a need to evaluate the effectiveness of implemented solutions in real-life?How do we ensure affordability / cost-effectiveness?

Remote Patient Monitoring is a crucial tool to create benefits for the patients, the providers and the payer. Yet there are several barriers on an international level that prevents the wider use of the technology, where reimbursement is still one of them. Boston Scientific has worked together with KOL's, patient organizations as well as trade organizations in trying to help solve the reimbursement. Our Health Economy and Market Access (HEMA) department acrosss Europe has managed be a valued partner in the development of reimbursement guidelines for RPM. Please join us in sharing our journey and our insights.

A safe and reliable flow of information is indispensable for nursing. Its role is particularly emphasised in mobile care, such as preliminary home care or home hospital care. Inefficient information flow poses a threat to patient safety and continuity of care. What measures can be taken to support the flow of information? 

This session will focus on modelling collaborations and co-creation processes for digital health and educational services that municipalities within socialized healthcare and education systems are tasked to develop and provide.

The shortage of skilled nursing personnel is – among other reasons – due to the low attractiveness of the profession, comprising high workloads and atypical working hours. Studies show that speech-based documentation systems increase documentation efficiency and satisfaction of physicians. This paper describes the development process of a speech-based application to support nurses, according to the user-centered design approach. User requirements were collected based on interviews (n=6) as well as observations (n=6) in three institutions and were evaluated by means of qualitative content analysis. A prototype of the derived system architecture was implemented. Based on a usability test (n=3), further potentials for improvement were determined. The resulting application enables nurses to dictate personal notes, share them with colleagues and transmit notes to the existing documentation system. We conclude that the user-centered approach ensures the extensive consideration of the nursing staff’s requirements and shall be continued for further development.

Ai in its current form and function is unrealistic unsupportable and for some unattainable economically speaking. A vision of democratizing and commoditizing Ai while running at scale never seen. In addition how can this new user not human never takes a break be managed without overwhelming the clinical staff.Presented will be a challenge to all vendors in the industry and the future. It’s time for a change.Presented will be an idea for a platform that leverages existing application as we manage human/clinical driven workflows vs data/machine learning workflows going forward.

France is currently in the process to establish a pathway for temporary reimbursement for digital health solutions, including both therapeutic solutions (DTx) and remote monitoring. This presentation will give an overview of what this new pathway entails.

Remarkable progress in artificial intelligence (AI) algorithms performance, and the fast growth in “real world” data available in electronic form generate high hopes for healthcare quality, efficiency, and accessibility improvements. But this game changing progress also causes growing concerns about the effects of growing AI use and its unintended, unanticipated, or even intentionally unethical consequences. Numerous issues and limitations of the algorithms and data used in healthcare and beyond have become more visible, and several organizations and researchers have proposed advice and guidelines to help address these concerns, issues, and limitations. Principles of Responsible AI are now promoted by several important organizations and stakeholders in the AI industry, but there is a need to move these principles towards practical realization and application in real-world scenarios. This panel will address several key aspects of responsible AI in health: explainability and interpretability; bias and fairness; reliability, reusability, and efficiency; privacy and confidentiality protection.