Telemedicine as part of Hospital@Home
The "Hospital at Home" (H@H) concept offers a way to meet the existing challenges in the healthcare sector. It enables patients to be cared for in…
SHIFT-Hospital@Home pilot study
In order to ensure seamless care after discharge from hospital and thus achieve increased safety, innovative approaches and treatment pathways are…
Hospital@Home: An innovative model for improving patient care in the home environment
We are currently hearing and reading a lot about Hospital@Home (H@H). But what exactly is it? In this article, we explain what exactly is behind the…
How can early warnings score improve care?
In the previous article, we explored the challenges hospitals face in the timely detection of patient deterioration and the validation of effective…
Wearable Technology: The Future of Hospitals
The healthcare industry is undergoing a transformative shift towards more efficient and patient-centric care.
Vital Signs and the Evolution of Patient Monitoring Systems
The four key vital signs routinely measured in clinical settings are body temperature (BT), blood pressure (BP), heart rate (HR), and respiratory rate…
Pattern-Powered Requirements: The LEMON Architecture for Reusable Requirement Patterns in Low-Code/No-Code (LCNC) Software Development for Digital Health
How can requirement patterns be reused in low-code/no-code tools without being tied to a specific modelling notation? The LEMON architecture…
Modelling Assistance in LCNC Software Development: Towards a User-Centric Framework for Digital Health and Beyond
Low-Code/No-Code (LCNC) tools empower non-programmers, such as practitioners, innovation managers, and patients, to build software through software…
Modelling Assistants Under the Lens: What the Current Landscape and Gaps Mean for Digital Health Software Development using Low-Code/No-Code
Modelling assistants can accelerate Low-Code/No-Code development, but over 50% fail to report key information like limitations and evaluation metrics.…
Intervention Targeting Beyond Risk Prediction
While prediction models can identify patients at high risk for no-shows, or more generally any adverse events, not all of these cases may be…
Learnings from Silent Live Testing in a Hospital Environment
Before using predictive models in a hospital setting, it is essential to understand how they might function in practice. For this, we performed a…
Software Traceability: A Key Concept for LCNC Software Development Creating Software Models that Match Requirements from Patients, Practitioners, and Stakeholders
Software traceability ensures that stakeholder requirements—including those from patients and practitioners—are properly reflected in the software…