A5030072403- Data Quality and Management
- Electronic Health Records Systems
- Machine Learning in Healthcare
- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Medication Adherence and Compliance
- Context-Aware Activity Recognition Systems
- Privacy-Preserving Technologies in Data
- Service-Oriented Architecture and Web Services
- Technology Use by Older Adults
- Public Relations and Crisis Communication
- Digital Mental Health Interventions
- Mobile Health and mHealth Applications
- Palliative Care and End-of-Life Issues
- Health Systems, Economic Evaluations, Quality of Life
- Blood transfusion and management
- Family Support in Illness
- Topic Modeling
- IoT and Edge/Fog Computing
- Childhood Cancer Survivors' Quality of Life
- Artificial Intelligence in Healthcare
- Chronic Disease Management Strategies
- Text Readability and Simplification
- Health and Well-being Studies
- Health and Medical Studies
Austrian Institute of Technology
2016-2025
Bayer (Germany)
1923
Purpose Complex systems in scientific research require special efforts to develop and evolve a sustainable way. Business model innovation has become highly relevant overcome threats the sustainability of such systems, understanding it is key maintaining creating new value for community. The European Joint Programme on Rare Diseases sought create an effective rare disease ecosystem benefit patients. aim this study identify factors that could influence business environment assess overall...
Falls in older people represent a major age-related health challenge facing our society. Novel methods for delivery of falls prevention programs are required to increase effectiveness and adherence these while containing costs. The primary aim the Information Communications Technology-based System Predict Prevent (iStoppFalls) project was develop innovative home-based technologies continuous monitoring exercise-based community-dwelling people. this paper is describe components iStoppFalls...
Efficient secondary use of real-world data (RWD) is a cornerstone for advancing data-driven medical research and personalised healthcare. However, significant challenges persist, including fragmentation in silos, the lack record linkage, legal constraints that often hinder utilisation. Especially Electronic Health Records (EHRs) represent valuable source, yet their potential remains largely untapped due to these barriers. modern space solutions promise address challenges, focusing on...
Patients with diabetes were enrolled into a telemonitoring programme. They offered the choice of collecting their health data either by using Near Field Communication (NFC) enabled mobile phones equipped dedicated application (App), or means web-browser based user interface (Web). At end study, each patient was categorized as belonging to App Web group, on proportion they had transmitted method. Of 403 patients, there 291 in group and 112 group. The two groups similar demographics, except...
Summary Background: Blood transfusion is a highly prevalent procedure in hospitalized patients and some clinical scenarios it has lifesaving potential. However, most cases administered to hemodynamically stable with no benefit, but increased odds of adverse patient outcomes substantial direct indirect cost. Therefore, the concept Patient Management increasingly gained importance pre-empt reduce identify optimal volume for an individual when indicated. Objectives: It was our aim describe, how...
Introduction The potential for secondary use of health data to improve healthcare is currently not fully exploited. Health largely kept in isolated silos and key infrastructure aggregate these into standardized bodies knowledge underdeveloped. We describe the development, implementation, evaluation a federated facilitate versatile based on Data Space nodes. Materials methods Our proposed nodes are self-contained units that digest through an extract-transform-load framework pseudonymizes...
The burgeoning domain of telehealth has witnessed substantial transformation through the advent advanced technologies such as Large Language Models (LLMs). This study examines integration LLMs in heart failure management, with a focus on HerzMobil pioneering program. technical underpinnings LLMs, their current applications medical field, and potential to enhance services, have been explored. paper highlights benefits patient interaction, clinical documentation, decision-making processes....
Abstract Especially older persons are prone to disabilities and chronic diseases. These conditions pose a worldwide challenge, leading deteriorating health, economic strain, loss of life, decline in the quality life (QoL). Therefore, healthcare institutions seek enhance their strategies for disease prevention management uphold well-being community. This leads need regain independence improve QoL properly rehabilitate patients. Virtual Coaches (VCs) form Embodied Conversational Agents seen as...
Background: The recent rise of large language models has triggered renewed interest in medical free text data, which holds critical information about patients and diseases. However, is also highly sensitive. Therefore, de-identification typically required but complicated since mostly unstructured. With the Masketeer algorithm, we present an effective tool to de-identify German text. Methods: We used ensemble different masking classes remove references identifiable data from over 35,000...
Malnutrition (excess or defect) and sedentariness act as an accelerator in the older people frailty process. A systemic solution has been developed to engage a healthier lifestyle using serious games food monitoring. The study aimed evaluate protocol influence on variables related unhealthy behaviors improving dietary habits through remote nutritional coaching approach stimulating population increase physical activity Exergames. Thirty-two subjects (25 Treatments 7 Controls, aging 65–80...
Clinical notes provide valuable data in telemonitoring systems for disease management. Such must be converted into structured information to effective automated analysis. One way achieve this is by classification (e.g. categories). However, conform with privacy regulations and concerns, text usually de-identified.This study investigated the effects of de-identification on classification.Two pseudonymisation two algorithms were applied clinical messages from a telehealth system. Divergence...
Background: The older population of Europe is increasing and there has been a corresponding increase in long term care costs. This project sought to promote active ageing by delivering tasks via tablet computer participants aged 65–80 with mild cognitive impairment.
Abstract Due to an ever-increasing amount of data generated in healthcare each day, professionals are more and challenged with information. Predictive models based on machine learning algorithms can help quickly identify patterns clinical data. Requirements for driven decision support systems health care ( DS4H ) similar many ways applications other domains. However, there also various challenges which specific settings. The present paper describes a) requirements b) how they were addressed...
Research in blood transfusions mainly focuses on Donor Blood Management, including donation, screening, storage and transport. However, the last years saw an increasing interest recipient related optimizations, i.e. Patient Management (PBM). Although PBM already aims at reducing transfusion rates by pre- intra-surgical optimization, there is still a high potential of improvement individual level. The present paper investigates feasibility predicting needs based datasets from various...
Background: In Europe the number of elderly people is increasing. This population growth has resulted in higher healthcare costs. The purpose this project was to try promote active ageing aged 65–80 with mild cognitive impairment through games delivered via a tablet computer.
More and more crisis managers, communicators laypeople use Twitter other social media to provide or seek information. In this paper, we focus on retrospective conversion of human-safety related data management knowledge. First, study how can be classified into the seven categories United Nations Development Program Security Model (i.e., Food, Health, Politics, Economic, Personal, Community, Environment). We conclude that these topic are applicable, supplementing them with classification...
Heart Failure is a severe chronic disease of the heart. Telehealth networks implement closed-loop healthcare paradigms for optimal treatment patients. For comprehensive documentation medication treatment, health professionals create free text collaboration notes in addition to structured information. To make this valuable source information available adherence analyses, we developed classifiers automated categorization based on natural language processing, which allows filtering relevant...
Systematic reviews are widely used as a tool for decision making to establish new clinical guidelines. Reviews can be time-consuming, potentially leaving authors with thousands of citations screen. Software tools assisting reviewers in this process available, however, only few use text mining techniques reduce screening time. In work, we introduce Twister, web-based semi-automated literature broad research questions. We discuss how two (a) extract data elements from abstracts and (b)...