A5090205347- Electronic Health Records Systems
- Pharmaceutical Practices and Patient Outcomes
- Chronic Disease Management Strategies
- Balance, Gait, and Falls Prevention
- Health Systems, Economic Evaluations, Quality of Life
- Healthcare Systems and Technology
- Clinical practice guidelines implementation
- Patient Safety and Medication Errors
- Patient-Provider Communication in Healthcare
- Healthcare Technology and Patient Monitoring
- Telemedicine and Telehealth Implementation
- Frailty in Older Adults
- Patient Satisfaction in Healthcare
- Health Literacy and Information Accessibility
- Biomedical Text Mining and Ontologies
- Mobile Health and mHealth Applications
- Digital Mental Health Interventions
- Technology Use by Older Adults
- Cancer survivorship and care
- Emergency and Acute Care Studies
- Cerebral Palsy and Movement Disorders
- Artificial Intelligence in Healthcare and Education
- Social Media in Health Education
- COVID-19 and Mental Health
- Explainable Artificial Intelligence (XAI)
Amsterdam University Medical Centers
2019-2024
University of Amsterdam
2015-2024
Public Health Service of Amsterdam
2024
Open University of the Netherlands
2024
OAPEN Foundation
2024
Amsterdam UMC Location University of Amsterdam
2013-2023
Institute for Medical Informatics and Biostatistics
2014
The Internet is viewed as an important source for health information and a medium patient empowerment. However, little known about how seniors use the in relation to other sources information.The aim was determine which resources who trust information, are preferred, used by different needs.Questions from published surveys were selected based on their relevance study objectives. Autonomy Preference Index assess needs preferences involvement decisions. Invitation participate this online...
Background Adherence to guidelines pertaining stroke prevention in patients with atrial fibrillation is poor. Decision support systems have shown promise increasing guideline adherence. Aims To improve adherence a non-obtrusive clinical decision system integrated the workflow. Secondly, we seek capture reasons for non-adherence. Design and setting A cluster randomized controlled trial Dutch general practices. Method was developed that implemented properties positively associated...
Despite the renewed interest in Artificial Intelligence-based clinical decision support systems (AI-CDS), there is still a lack of empirical evidence supporting their effectiveness. This underscores need for rigorous and continuous evaluation monitoring processes outcomes associated with introduction health information technology. We illustrate how emergence AI-CDS has helped to bring fore critical importance principles action regarding all technology applications, as these hitherto have...
Abstract A fundamental challenge in the field of clinical decision support is to determine what characteristics systems make them effective supporting particular types decisions. However, we lack such a theory itself and model describe decisions them. This article outlines framework. We present two-stream information flow within decision-support (CDSSs): reasoning about patient (the stream), user cognitive-behavioral stream). propose that CDSS “effectiveness” be measured not only terms...
Background Many studies have investigated the use of clinical decision support systems as a means to improve care, but thus far failed show significant effects on patient-related outcomes. We developed system that attempted address issues were identified in these studies. The was implemented Dutch general practice and designed be both unobtrusive respond real time. Despite our efforts, usage low. In current study we perform mixed methods evaluation identify remediable barriers which led...
to investigate the effect of potentially inappropriate medications (PIMs) on inpatient falls and identify whether PIMs as defined by STOPPFall or designated section K for STOPP v2 have a stronger association with when compared general tool v2.a retrospective observational matching study using an electronic health records dataset patients (≥70 years) admitted academic hospital (2015-19), including free text falls. were identified v2, STOPPFall. We first matched admissions those without...
The aim of this study was to create a step-by-step method for transforming clinical rules use in decision support, and validate usability reliability.A sample set identified from the relevant literature. Using an iterative approach with focus group mixed informatics experts, developed assessing formalizing rules. Two assessors then independently applied separate validation Usability assessed terms time required error rate, reliability by comparing results two assessors.The resulting method,...
Falls are the leading cause of injury-related mortality and hospitalization among adults aged ≥ 65 years. An important modifiable fall-risk factor is use increasing drugs (FRIDs). However, deprescribing not always attempted or performed successfully. The ADFICE_IT trial evaluates combined a clinical decision support system (CDSS) patient portal for optimizing FRIDs in older fallers. intervention aims to optimize enhance shared making (SDM) consequently prevent injurious falls reduce...
Abstract Background The World Falls Guidelines (WFG) propose an algorithm that classifies patients as low-, intermediate-, and high-risk. We evaluated different operationalizations of the WFG compared its predictive performance to other screening tools for falls, namely: American Geriatrics Society British (AGS/BGS) algorithm, 3KQ on their own fall history own. Methods included data from 1509 adults aged ≥65 years population-based Longitudinal Aging Study Amsterdam. outcome was ≥1 during...
Abstract Background Use of fall prevention strategies requires detection high-risk patients. Our goal was to develop prediction models for falls and recurrent in community-dwelling older adults improve upon previous by using a large, pooled sample considering wide range candidate predictors, including medications. Methods Harmonized data from 2 Dutch (LASA, B-PROOF) 1 German cohort (ActiFE Ulm) aged ≥65 years were used fit logistic regression models: one predicting any another over year....
Since treatment with immune checkpoint inhibitors (ICIs) is becoming standard therapy for patients high-risk and advanced melanoma, an increasing number of experience treatment-related adverse events such as fatigue. Until now, studies have demonstrated the benefits using eHealth tools to provide either symptom monitoring or interventions reduce symptoms However, tool that facilitates combination both management in melanoma treated ICIs still needed.In this pilot study, we will explore use...