Programpunkter

The smart data extractor is a semi-automatic data extraction software to assist clinician in the completion of case report forms.It is a pipeline build on top of Dr Warehouse, the Necker (ap-hp, France) data warehouse.It is based on thesauri and regular expression.It saves time and error and it is clinician friendly and easy to use.

With more than a decade of supporting its customers in their healthcare data standardization efforts, B2i Healthcare publicly launched the Snowray Terminology Service to a global audience. This demonstration will introduce the most important functionalities to future users. Users are welcome to follow along with a free account.During the demonstration, we will cover the processes of creating and publishing new standard resources, including Code Systems, Value Sets and Concept Maps.

An interactive workshop to get familiar with the Social Return on Investment (SROI) methodology. The attendees will learn the basics about the SROI methodology and how this methodology is used within the European RE-SAMPLE project to ensure impact of the digital innovation for every stakeholder (societal impact). Next to this, the attendees will, by means of a group discussion, form a first opinion about the SROI methodology.

The Health Data Guide is intended to provide an overview of managing health data effectively so that the goals of improving the health of individuals can be more easily realized. Part One should provide a brief overview of the health data area and insights into a series of typical hurdles to overcome and ditches to avoid. It should provide the newcomer to the area with sufficient orientation to facilitate the discussion with various experts and partners. The more detailed Part Two is under development.

Artificial intelligence (AI) has been used to support decision making in the mental health domain for both healthcare professionals and patients on different levels in the healthcare systems and self-care services. AI has been included in several health applications such as predicting mental health problems, diagnostics, treatment plans, workflows, and other duties that require decision support. Understanding the use of AI tools and how it is applied for support decision making in the mental health would contribute in improving the design, development and implementation in practice. Further knowledge will also help benefit shaping person-centered care approaches when using AI tools by understanding the dynamics used nowadays in support decision making and how to include patients in the development of future processes and tools,It is unclear what types of decisions that AI tools most commonly participate in supporting in mental health, how these tools are applied, and whether its implementation is engaging patients in the process of decision making or not, this uncertainty may contribute in shifting the decision- making process towards more technology polarization and far from patient centeredness. Therefore, a scoping review is conducted to map the characteristics of research done on AI tools for supporting decision making in the mental health field to contribute to the body of knowledge regarding how decisions are supported. In the proposed lecture we will present our findings regarding the use of AI in mental health and reflections on support decision making.

I denna panel diskuteras hur digitala arbetssätt kan utvecklas av eller med involvering av kliniker och hur vi tar oss an den svåra uppgiften att ge dessa arbetssätt bred spridning och etablera dem som det nya normala. Vad måste ledare, politiker, patienter och kliniker göra för att vi ska få fart på den breda digitala transformationen?

Kom, lyssna till och delta i vårt samtal kring informatikarbetet inom Nationellt system för kunskapsstyrning. Du kommer att få en bild av vad som faktiskt händer nationellt med bla praktiska exempel från vården, information om mötesplatser där du kan bidra och hur vi samarbetar med våra myndighetskollegor.

Allt fler överlever och lever med cancer. Därför ses cancer allt mer som en kronisk sjukdom. I och med det förändras vårdens roll på liknande sätt som inom andra kroniska sjukdomar. I rapporten "Tillsammans ökar vi användningen av egenmonitorering inom cancer" presenteras en genomlysning av hur utvecklingen av egenmonitorering cancer stöttas av regioner, nationella cancerstrategin, canceröverenskommelsen och RCC. Tillsammans kommer panelen i denna session tala om hur vi får det att hända i cancervården? Hinder, möjligheter och vägar fram utifrån 7 presenterade insatsområden. http://www.natverketmotcancer.se/wp-content/uploads/2023/03/Rapport_Egenmonitorering_final.pdf

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

This presentation is about our work on a brain tumor detection using clustering methods. The ultimate goal is to use this process in a Digital Twin prototype