A5092017150- Chronic Disease Management Strategies
- Biomedical Text Mining and Ontologies
- Health Systems, Economic Evaluations, Quality of Life
- Machine Learning in Healthcare
- IoT and Edge/Fog Computing
- Context-Aware Activity Recognition Systems
- Artificial Intelligence in Healthcare
- Intergenerational Family Dynamics and Caregiving
- Technology Use by Older Adults
- Geriatric Care and Nursing Homes
- Elder Abuse and Neglect
- Topic Modeling
- Pharmaceutical Practices and Patient Outcomes
Fraunhofer Institute for Applied Information Technology
2022-2023
Europe's healthcare systems require enhanced interoperability and digitalization, driving a demand for innovative solutions to process legacy clinical data. This paper presents the results of our project, which aims leverage Large Language Models (LLMs) extract structured information from unstructured reports, focusing on patient history, diagnoses, treatments, other predefined categories. We developed workflow with user interface evaluated LLMs varying sizes through prompting strategies...
Due to the ongoing demographic change, informal care is even more be considered as main pillar in caring for increasing number of care-dependent older people. However, caregivers do not feel sufficiently informed about suitable support measures and meeting their tasks can pose a high burden on them. Therefore, nationally funded research project INGE an app was developed implement quality-assured outcome-oriented effective in-home consultancy utilizing machine learning. Yet, data home are...
According to the European Union, health care sector is still lacking adoption of healthcare standards and interoperable solutions [11] [13]. The EU expects through exchange data (i) a better access for citizens services, (ii) increasing patients' sovereignty empowerment (iii) service provision research innovation, policymaking, regulatory decisions. To address this challenge, we present in paper some further developments our distributed e-health framework [47] [23] [42] [34]. We...
This paper presents a key part of the design process an e-health application for elderly patients in home setting. It encompasses scenarios, use cases and architecture consisting system components, applications, interfaces supporting homecare users with chronic health conditions. Care at intends to provide care same level quality patient's complementary work done other sectors. global overview methodology addition depicting different layers their components. builds upon known requirements...