Sessions

Patient accessible electronic health records (PAEHRs) have been proposed as a means to improve patient safety and documentation quality, as patients become an additional source to detect mistakes in the records. In pediatric care, healthcare professionals (HCP) have noted a benefit of parent proxy users correcting errors in their child’s records. However, the potential of adolescents has so far been overlooked, despite reports of reading records to ensure accuracy. The present study examines errors and omissions identified by adolescents, and whether patients reported following up with HCPs. Survey data was collected during three weeks in January and February 2022 via the Swedish national PAEHR. Of 218 adolescent respondents, 60 reported having found an error (27.5%) and 44 (20.2%) had found missing information. Most adolescents did not take any action upon identifying an error or an omission (64.0%). Omissions were more often perceived as serious than errors. These findings call for development of policy and PAEHR design that facilitates reports of errors and omissions for adolescents, which could both improve trust and support the individual’s transition into an involved and engaged adult patient.

Separate registration required: https://www.mie2023.org/tutorials, The open-source Python framework AUCMEDI offers a solution to the describedchallenges. The software package not only offers a library as a 'high-level' API for thestandardized construction of modern medical image classification pipelines, but alsoreproducible installation and direct application via Dockerization and automatichyperparameter detection. With AUCMEDI, researchers are able to set up a completeas well as easy-to-integrate medical image classification pipeline with just a few linesof code. AUCMEDI is available as a Python package via PyPI ('pip install aucmedi')and as a repository via GitHub with detailed documentation, examples, and bindings tomodern DevOps (CI/CD) techniques: https://frankkramer-lab.github.io/aucmedi/.

Finnish Social and Health Data Permit Authority Findata is the first one-stop shop in the world that issues permits for secondary use of social welfare and health care data. This presentation highlights the Finnish experiences of secondary use from past three years, as the whole EU is now planning to take similar steps towards the European Health Data Space.

Dana Lewis founded the open-source artificial pancreas movement (known as “OpenAPS”), working to make safe and effective automated insulin delivery (AID) technology available (sooner) for people with diabetes around the world for the past 8 years. She authored the book, "Automated Insulin Delivery: How artificial pancreas “closed loop” systems can aid you in living with diabetes", to help more people understand automated insulin delivery systems, in addition to a series of children's books on various health topics. She is now a researcher and her peer-reviewed publications have been cited more than 1,300 times. She has collected numerous types of individual data and conducted research with it, while also working to support communities of patients and medical and academic researchers to harness the power of real-world shared data for improving healthcare.

The amount of information on Traditional Medicine in Systematized Nomenclature of Medicine – Clinical Terms (SCT), the world’s most comprehensive health terminology, is unclear. The purpose of this study is to address that unclarity and investigate to which extent the concepts of ICD-11-CH26 can be found in SCT.

Presentation of the Regional digital health action plan for the WHO European Region 2023–2030.

The EU Commission has with the EHDS fierce expectations regarding content and timing, pursuing a seemingly somewhat independent and self-determining approach. Denmark seeks to influence, that European interests, legislation, and standards complement each other, with standards of high quality and democratic legitimacy.

Patient-accessible electronic health records (PAEHR) have the potential to empower patients, but their impact may vary between psychiatric and somatic patients due to unique sensitivities in medical notes. In Norway, all hospitals have implemented PAEHR since 2015. Despite ongoing debate, further research is needed on user experiences and perceptions in general health care, particularly psychiatry. In this lecture, we will explore the following topics from Norway’s perspective: 1) how the use of PAEHR differs between psychiatric and somatic patients, 2) the serious mistakes patients have perceived and their impact on each group, and 3) the implications for practice in the era of transparent EHR and new ways of thinking.

European Ethical Principles for Digital Health is an initiative of the French Presidency of the council of the European union. The legislative work on the European Health Data Space started under the French Presidency. It aims to give European citizens the guarantees of trust they are expecting for the processing of their health data. The sharing of health data can raise legitimate questions: clarifying these European Principles of Ethics for Digital Health will make it possible to go beyond the GDPR and to condition the choices of methods underlying digital health initiatives. This presentation will highlight important principles and how they are implemented in the member states. As well as the continuous work that needs to be done to ensure the trust from the European citizens.

Nursing Organizations are expected to make contributions to Innovation. How do nursing organizations know how Innovation Ready they are? What should nursing organizations do to become more Innovation Ready? As contribution to the discussion around Nurse-Led Innovation, the Innovation Readiness Inventory is delivered to help answer these questions.During the presentation you will also meet Nursing Directors who will take you through how they use the tool and how it is connected to their work on how to establish Frontline Innovation as a part of their day to day operations.

With the fast progression in AI, its role in healthcare is bound to be ubiquitous in near future. However, creating AI software that is unbiased and trained ethically remains a challenge. In this session, we will evaluate different aspects of what it means for the AI to be biased and how we can evaluate it as a medical device software. Similarly, it is important to understand the fact that ethical AI is a two-way street. We will also look into how the society and the regulatory bodies should play a role for AI to be constructed in an ethical way. 

An introduction to openEHR for beginners. This is part 2, covering Clinical modeling, Technical implementation, Querying, Tools and examples in more detail.