Programpunkter

It is of utmost importance to understand better the requirements for a Digital Therapeutics (DTx) design and trial service that supports the design of DTx and their efficient evaluation via feasibility studies, optimization trials (e.g., micro-randomized trials), efficacy or effectiveness trials (e.g., randomized controlled trials). This workshop has, therefore, the objective of gathering such requirements by applying the World Café methodology and discussing several complex care scenarios. We welcome participants with various backgrounds (e.g., technical, regulatory, medical, ethical) who bring in different perspectives.

Patient generated health data (PGHD) integrates patients` values and preferences into decision-making. Digitalization enables the integration of PGHD with electronic patient records. However, the lack of digital tools and applications hampers the use of PGHD. The purpose of this workshop is to gather the current situation in research and to form a transdisciplinary network of researchers.Discussion topics:1.Identification of the researchers, research projects and digital tools and applications for PGHD to build a network of researchers in the field.2.Experiences and perceptions of the research and practice regarding the digital tools and applications for PGHD3.Recommendations for future research topics in the field of PGHD.Keywords. digitalization, shared decision making, patient generated health dataYou are warmly welcome!

Each epidemic and pandemic is accompanied by an infodemic. The infodemic during the COVID-19 pandemic was unprecedented. Accessing accurate information was difficult and misinformation harmed the pandemic response, the health of individuals, and trust in science, governments and societies. WHO built a community-centered information platform, the HIVE, to deliver on the vision of ensuring that all people everywhere have access to the right information, at the right time, in the right format in order to make decisions to protect their health.

Privacy-enhancing technologies (PET) are becoming more important in the context of open data and data sharing approaches. Anonymization as one PET can address privacy concerns by manipulating data in a way that it can't be related to a person anymore. Resulting constrains in data quality need to be thoroughly investigated to ensure that implications drawn from the data are not biased. In our real-world application, we aimed to provide utility-preserved anonymized data while scaling privacy.  

Lets talk about interoperable order set creation than can be used by any EMR

The MIE conference has always been a hub for innovation and cutting-edge technology. This year was no exception several demonstrators showcase their unique solutions to healthcare problems. Use the opportunity to take a closer look at some of the most striking demonstrators present at the conference, highlighting their diversity and the potential impact they could have on various healthcare-related challenges

The MIE conference has always been a hub for innovation and cutting-edge technology. This year was no exception several demonstrators showcase their unique solutions to healthcare problems. Use the opportunity to take a closer look at some of the most striking demonstrators present at the conference, highlighting their diversity and the potential impact they could have on various healthcare-related challenges

The MIE conference has always been a hub for innovation and cutting-edge technology. This year was no exception several demonstrators showcase their unique solutions to healthcare problems. Use the opportunity to take a closer look at some of the most striking demonstrators present at the conference, highlighting their diversity and the potential impact they could have on various healthcare-related challenges

Reproducibility imposes some special requirements at different stages of each project, including reproducible workflows for the analysis including to follow best practices regarding code style and to make the creation of the manuscript reproducible as well. Available tools therefore include version control systems such as Git and document creation tools such as Quarto or R Markdown. However, a re-usable project template mapping the entire process from performing the data analysis to finally writing the manuscript in a reproducible manner is yet lacking. This work aims to fill this gap by presenting an open source template for conducting reproducible research projects utilizing a containerized framework for both developing and conducting the analysis and summarizing the results in a manuscript. This template can be used instantly without any customization.