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Swiss Learning Health System
Titre du projet
Swiss Learning Health System
Description
Health care systems worldwide are challenged by changing patterns of communicable and non-communicable diseases, population aging, increasing technological progress and growing resource constraints.
To ensure fitness-for-purpose, effectiveness and efficiency of health systems, decision-making on all levels of the system needs to be supported by the best available evidence. The utilized evidence should relate to high-quality research that addresses health system needs, including the evaluation of benefits and costs of different courses of action.
In learning health systems (LHS), the research agenda is collaboratively developed to be responsive to current health system needs and to facilitate the flow of information at levels of policy, research and practice. By doing so, the LHS are promoting evidence-based policy making and create continuous learning processes that match health system needs. This in turn creates a culture of shared responsibility, creating a learning environment that links all actors in the health system – patients, health care providers, insurers, researchers and health policy makers – in the common cause to strengthen the health system, improve population health, and to ultimately achieve better value for the money in healthcare.
The Swiss Learning Health System's (SLHS) goal is to foster the dialogue between different stakeholders that are relevant in the health system and thus to develop and continuously integrate evidence-based solutions to current and future challenges in the health care system. In order to achieve the goal of bridging research, policy and practice, the SLHS educates scholars in the specific skills needed in a learning health system and it builds a management tool for standardized health information.
To ensure fitness-for-purpose, effectiveness and efficiency of health systems, decision-making on all levels of the system needs to be supported by the best available evidence. The utilized evidence should relate to high-quality research that addresses health system needs, including the evaluation of benefits and costs of different courses of action.
In learning health systems (LHS), the research agenda is collaboratively developed to be responsive to current health system needs and to facilitate the flow of information at levels of policy, research and practice. By doing so, the LHS are promoting evidence-based policy making and create continuous learning processes that match health system needs. This in turn creates a culture of shared responsibility, creating a learning environment that links all actors in the health system – patients, health care providers, insurers, researchers and health policy makers – in the common cause to strengthen the health system, improve population health, and to ultimately achieve better value for the money in healthcare.
The Swiss Learning Health System's (SLHS) goal is to foster the dialogue between different stakeholders that are relevant in the health system and thus to develop and continuously integrate evidence-based solutions to current and future challenges in the health care system. In order to achieve the goal of bridging research, policy and practice, the SLHS educates scholars in the specific skills needed in a learning health system and it builds a management tool for standardized health information.
Chercheur principal
Statut
Completed
Date de début
1 Juin 2017
Date de fin
31 Décembre 2024
Organisations
Site web du projet
Identifiant interne
38387
identifiant
8 Résultats
Voici les éléments 1 - 8 sur 8
- PublicationAccès libreAssessing Digital Support for Smoking Cessation(2019-12-9)
; Tobacco still kills more than 7 million people each year. Research points to several evidence-based interventions to support smoking cessation which, if applied widely, could considerably reduce premature deaths. There is a huge range of mobile apps targeting this concern, which could potentially be powerful catalysts to provide this support. Yet it is unclear how much of their design is evidence-based and how effective they are. To address this issue, this paper provides an analysis of 99 popular smoking cessation apps. The results show that only two apps come from a credible source, provide support for user engagement through advanced motivational affordances and have been evaluated for efficacy. - PublicationAccès libreDesign principles of a central metadata repository as a key element of an integrated health information system(Université de Neuchâtel Institut du management de l'information, 2020-1-31)
; ; ; The Swiss Health System is a complex system with different groups of actors for which data is collected and analyzed using various methods, leading to a large heterogeneity and dispersion of available data. The specificities of a Swiss Health System favor a hybrid infrastructure to manage the heterogeneity and dispersion of Swiss health-related data. This policy brief shows the importance of a metadata management infrastructure to identify and describe health data resources and highlights several essential key elements for the design of a metadata repository and also raises important practical questions. - PublicationAccès libreSwiss health metadata repository : implementation recommendations - requirements, recommended architecture and prototype implementation(Université de Neuchâtel Institut du management de l'information, 2021-6-1)
; ; ; In the context of a decentralized approach for health data resources, a central metadata repository becomes essential for the identification/description of the necessary resources. A Swiss Health Metadata Repository is expected to enable multiple advantages, namely: to provide a single entry point for searching/retrieving health-related resources; to help identify possible semantic linking between data sources; to provide a consistent data catalog ensured by the use of standardized vocabularies/ontologies; to enable potential exchange of experience and know-how between health data-related projects in Switzerland; and to increase the capacity of research groups to share/access/analyse health related data. This policy brief focuses on the implementation aspects of a proof-of-concept proto-type for Swiss Health Metadata Repository. - PublicationAccès libreSwiss Health Metadata Repository: prototype evaluation(Université de Neuchâtel Institut du management de l'information, 2021-6-30)
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- PublicationAccès libreAbout the FAIRness of Computable Biomedical Knowledge in SwitzerlandComputable Biomedical Knowledge (CBK) is a form of knowledge that is machine-understand-able and executable, enabling quick decision-making advice related to human health on a global scale. To maximize the potential of computable knowledge, it should adhere to the FAIR principles (Findable, Accessible, Interoperable, and Reusable), which ensure scientific data's effective discovery, access, and reuse. While there's a growing global trend in adopting FAIR principles, variations in their application exist due to technical and regulatory challenges. Switzerland stands out in global biomedical research with robust healthcare and institutions like the Swiss Institute of Bioinformatics contributing significantly to the field.
- PublicationAccès libreQuality & risk management of ethical AI use in human health research(2025-04)
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