LipiTUM
01/06/2022
Machine learning is playing an ever-increasing role in biomedical research. Scientists at the Technical University of Munich (TUM) have now developed a new method of using molecular data to extract subtypes of illnesses. In the future, this method can help to support the study of larger patient groups.private
25/05/2022
Acute kidney injury (AKI) is commonly seen in hospitals. It entails the rapid deterioration of kidney function, a high disease burden, and leads in some cases to death. The team at Nephrolytix GmbH, a new spin-off of Charité – Universitätsmedizin Berlin, has developed a process with the potential to reduce the time it takes to detect AKI – currently 48 to 72 hours – by 90 percent.twenty20photos
20/05/2022
Using machine learning, researchers find patterns in electronic health record data to better identify those likely to have the condition.nenetus
19/05/2022
Preventing medication administration errors and improving efficiency during surgery enhances patient care.PantherMedia / magicmine
13/04/2022
An artificial intelligence (AI) model trained using sequential health information derived from electronic health records identified a subset of individuals with a 25-fold risk of developing pancreatic cancer within three to 36 monthsPhil Hubbe/ZKN
08/02/2022
Multiple sclerosis (MS) is a disease of the central nervous systems that requires regular checkups with the neurologist every three months. However, an exacerbation of MS, also known as a flare-up, can occur between these appointments. The Konectom smartphone app aims to close this diagnostic gap.PantherMedia/Wavebreakmedia LtD
22/02/2021
Sometimes, a hospital stay can proceed successfully without a hitch. At other times, there might be an unexpected turn of events if the patient exhibits complications. Early identification of these patients could prevent unnecessary suffering. A new research project intends to develop an AI-based tool that predicts a patient’s risk of complications at an early stage.PantherMedia/rochu_2008
20/01/2021
European Union citizens have the right to free movement, settlement, and employment across the member states. In efforts to also digitize the health and care sector, another right is now being added: the EU plans to build a European Health Data Space to facilitate the secure cross-border exchange of health data.01/10/2020
The coronavirus pandemic has shown us we can make swift changes and handle problems if we set our minds to it, especially thanks to tools of digitization. Hospitals in Germany can expect to see a boost in digital transformation because the Federal Government adopted the "Program to Future-Proof Hospitals" (Zukunftsprogramm Krankenhäuser).01/10/2020
Whether it's process automation, robotics in the OR and nursing areas, or the digitalization of patient records - in a smart hospital, everything comes together to form a connected hospital. Find out exactly how the Smart Hospital is being developed with the help of information platforms and projects in the Topic of the Month.cibX GmbH
08/09/2020
In a time of pandemic, the emergency departments of most hospitals are under intense pressure. Processes can get mixed up, while some systems are stretched to the breaking point. It is easy to lose track of patients, medical devices and rooms. This is where the cibX intelligent IoT solution comes in. Real-time localization and visualization enable safe and up-to-date process optimization.PantherMedia / Viktor Cap
22/05/2020
Athletes not only have to be fit and stay in shape, but they also have to achieve peak performance, especially when they get ready for athletic events. Optimized and individualized performance training requires data from external laboratories and institutes. The [i/med] Sports platform from DORNER Health IT Solutions provides a complete workflow − from anamnesis to diagnostic report.04/11/2019
Artificial intelligence holds the promise of salvation when it comes to medicine: it is meant to unburden medical professionals, save time and money and perform tasks reliably and tirelessly. But before AI algorithms are allowed to diagnose diseases, many technical and ethical questions still need answers.02/05/2019
Digitization impacts many areas of life. It is also remapping the healthcare landscape and is becoming increasingly important, ensuring that patients receive comprehensive care as quickly as possible. To make this a reality, data is stored digitally and medical devices are connected.02/05/2019
Digitalization and networking are supposed to serve the health care system well: In times of staff shortages and demographic change, they are able to support the exchange of patient data and the management of chronic diseases as well as to improve the workflow. But it is still often ignored that both individual devices and complete networks can become lucrative targets for cybercrimes.02/05/2019
Safety should be a top priority when it comes to safeguarding human lives. That's why hospitals must protect their computer networks and data against unauthorized access. However, thanks to the proliferation of connected devices in hospitals, they are at high risk of suffering devastating cyberattacks. There is also a lack of cybersecurity awareness.02/01/2019
While they are very useful, health apps have one major drawback: anyone can release and distribute them unchecked. Only some apps require medical device certification. So how can users spot a great, safe and useful app? When it comes to diabetes apps, the “DiaDigital” seal of distinction is the answer.