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Knowledge database

Welcome to our SHIFT Smart Hospital knowledge database! This serves as a central source of knowledge and inspiration for all healthcare professionals and service providers - i.e. in particular for hospitals interested in the digital transformation towards the smart and liquid hospital.

The sub-projects (A.1 to D.4) provide insights into their results and findings via knowledge contributions and thus ensure that the knowledge generated as part of SHIFT is integrated and disseminated sustainably. These knowledge contributions deal with relevant questions and problems that hospitals are generally confronted with and provide answers that need to be considered in the context of digital transformation.

It is a dynamic database that will grow in knowledge over the coming years. So stay up to date and browse what our sub-projects have to report.

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Knowledge contributions - sorted by sub-projects:

Pillar A: Tech-Foundation & Knowledge Integration

Pillar A deals with two important enablers for the project. On the one hand, in A.1 with the provision of a technical and secure data and integration middleware to connect the application (sub)projects with the hospital IT in a standardised and seamless manner. On the other hand, with A.2, this pillar offers an organisational and knowledge-based opportunity to centrally network the results and findings and make them accessible.

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A.1: Tech-Foundation

Knowledge database

The implementation of Integration Platform as a Service (iPaaS) solutions in Swiss hospitals marks a decisive step towards digital transformation in…

Knowledge database

The Swiss healthcare system faces the challenge of driving forward digitalisation in a targeted manner in order to increase efficiency and quality of…

Knowledge database

The digital exchange of healthcare data is still associated with numerous challenges, such as fragmented IT systems, a lack of standards and an…

Knowledge database

The healthcare system relies on efficient electronic data exchange in order to provide patients with the best possible care and enable innovation.

Knowledge database

Digitalization in healthcare requires new, flexible IT solutions. Particularly in hospitals, conventional systems reach their limits when modern…

Knowledge database

This article builds on the introduction to HL7 FHIR as a standard for interoperable data exchange in healthcare and explores technical and…


Pillar B: Seamless Patient Path (SPP)

Pillar B explores new possibilities for individualised treatment that allows for the shortest and most comfortable hospital stay possible while keeping the risk of complications and therefore treatment costs low. The technological focus here is on mobile sensors, also known as wearables. Wearables can supplement today's conventional selective recording of vital parameters by trained personnel and enable new treatment processes, which we are investigating in three sub-projects.

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B.1: Wearable-based continuous patient monitoring

Knowledge database

The four key vital signs routinely measured in clinical settings are body temperature (BT), blood pressure (BP), heart rate (HR), and respiratory rate…

Knowledge database

In the previous article, we explored the challenges hospitals face in the timely detection of patient deterioration and the validation of effective…

Knowledge database

As wearable technology becomes increasingly sophisticated, its integration into healthcare is poised to transform hospital operations.

Knowledge database

The healthcare industry is undergoing a transformative shift towards more efficient and patient-centric care.

B.2: Hospital in Motion - Preventing complications through activity monitoring in hospital

Knowledge database

There is now increasing evidence that hospitalisation can have a negative impact on health, especially in older patients. Impairment of functioning…

Knowledge database

Lack of exercise among patients in hospitals is a common problem - and this is precisely where an innovative solution comes in: A wearable-based…

Knowledge database

Actively involving patients in the promotion of movement (co-creation) can significantly improve their recovery and satisfaction. Collaboration…

Knowledge database

Lack of physical activity during hospitalisation often leads to complications and increases the risk of patients having to be readmitted after…

Knowledge database

In hospitals, patients' lack of exercise often leads to complications and slows down the recovery process. As there is no dedicated specialist…

B.3: Hospital @ Home - smooth transition of patients from hospital to home through the use of telemedicine and technology

Knowledge database

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…

Knowledge database

In order to ensure seamless care after discharge from hospital and thus achieve increased safety, innovative approaches and treatment pathways are…

Knowledge database

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…

Knowledge database

In Hospital@Home, patients receive medical care in their own homes. What are the advantages of this new form of treatment, and who primarily benefits…

Knowledge database

In today’s dynamic healthcare landscape, specific forms of patient surveys such as Patient-Reported Outcome Measures (PROMs) and Patient-Reported…


Pillar C: Patient & Staff Empowerment (PSE)

Pillar C increases efficiency, personalisation and high-quality med-tech solutions that will shape the hospital of the future. The sub-projects in this pillar provide technological solutions aimed at equipping hospital staff with tools that enable them to provide patients with more personalised care, use expensive medical systems more efficiently and actively participate in the development of their own software systems.

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C.1: Improved self-management with virtual reality companions

Knowledge database

More than 30 years after science fiction author Neil Stephenson [1] coined the term "metaverse", the vision of shifting our social interactions into a…

Knowledge database

Chronically ill patients, such as people with chronic kidney disease (CKD), have a great need for effective education and counselling. Targeted…

C.2: Reduction of idle times of MRI systems in radiology departments through the use of AI-based scheduling software - MRIdle

Knowledge database

No-show appointments in healthcare lead to wasted resources and poor patient outcomes.

Knowledge database

Before using predictive models in a hospital setting, it is essential to understand how they might function in practice. For this, we performed a…

Knowledge database

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…

C.3: Artificial intelligence-based software factory for MedTech applications

Knowledge database

Democratizing digital health software development is essential for advancing successful digitalization processes within healthcare organizations. This…

Knowledge database

Low-Code/No-Code software development isn't just for developers. The roles involved in digital health LCNC application development are diverse—and so…

Knowledge database

Modelling assistants can accelerate Low-Code/No-Code development, but over 50% fail to report key information like limitations and evaluation metrics.…

Knowledge database

Software traceability ensures that stakeholder requirements—including those from patients and practitioners—are properly reflected in the software…

Knowledge database

Low-Code/No-Code (LCNC) tools empower non-programmers, such as practitioners, innovation managers, and patients, to build software through software…

Knowledge database

How can requirement patterns be reused in low-code/no-code tools without being tied to a specific modelling notation? The LEMON architecture…

Pillar D: Management of Hospital Systems (MHS)

Pillar D deals with aspects of the ideal organisational design of a hospital in a digital world. Hospitals are highly complex networked systems that need to be intelligently controlled and managed. Accordingly, new forms of management and technological solutions are sought that reduce the growing complexity and fulfil the multi-layered needs of patients and employees.

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D.1: Intelligent management of networked hospitals - a digital simulation game

Knowledge database

Lifelong learning is required in order to keep pace with the latest innovations in the smart hospital of the future. This article discusses how the…

Knowledge database

Interaction is the key to a successful learning game. It promotes active learning, in which learners not only passively absorb information, but…

Knowledge database

Digital transformation is much more than the introduction of new technologies. Particularly in the healthcare sector, where processes are rigidly…

Knowledge database

Is silo thinking a barrier to efficiency in healthcare? This article explores how siloed organisational structures make collaboration difficult and…

Knowledge database

Interdisciplinary teams enable new solutions - but also bring with them communication challenges. In this project, health economists, simulation…

D.2: Innovation with impact: evidence-based innovation

Knowledge database

#1 Why and how robust evidence can save more than "just" human lives.

#2 Kill your darlings

 

D.3: Demand-orientated flexible personnel capacity management in hospitals

Knowledge database

The flexible organisation of staff deployment in nursing plays a decisive role, not only in terms of capacity management, but also in increasing the…

D.4: Method kit for quantifying the process potential of digital health tools

Knowledge database

The increasing life expectancy of the population poses numerous challenges for our healthcare system. The European Commission assumes that the…

Knowledge database

Digital health solutions - such as the heyPatient platform - promise major gains in effectiveness and efficiency. On the one hand, these are due to…

Knowledge database

As already explained in the introduction to knowledge article 2, digital health solutions - such as the heyPatient platform - promise major gains in…

Knowledge database

The D.4 method kit supports hospitals and digital health tools providers in evaluating the benefits of digital health solutions in a practical,…

Knowledge database

How much effort is actually involved in administrative patient registration - and how does this effort change when digital solutions such as…