Electronic patient records, diagnostic values, study cohorts: data management has become a central component in healthcare - in diagnostics and therapy as well as in medical research.
Mathematical models used as patient surrogates could help clinicians select the best cancer treatment before going to the patient’s bedside.
NFTs, or nonfungible tokens, first made a splash in the art world as a platform to buy and sell digital art backed by a digital contract. But could NFT be useful in other markets such as healthcare?
Researchers in the UK and China have developed an AI model that can diagnose Covid-19 as well as a panel of professional radiologists, while preserving the privacy of patient data.
Professor Regina Beets-Tan, President of the European Society of Radiology (ESR), looks on possible future developments in cancer imaging. AI is very promising in this regard, 'However, it has proven to be a problem that the data with which the artificial intelligence is fed must be very homogeneous,' the expert observes.
Since 2015, the number of known ransomware attacks has not only increased substantially across many industries. Hospitals, and the healthcare industry in general, have also become favorite targets of ransomware attackers, leading to very real incidents in which patient care and patients’ lives have been put at risk.
The EU’s General Data Protection Regulation (GDPR) has created a great deal of uncertainty about how key requirements should be interpreted. This means that collaborators in international genetic research projects do not always agree on fundamental issues such as whether they are processing personal data, consent requirements under the GDPR and on what basis genetic data can be transferred…
Cancer patients’ medical records can often comprise up to 100 terabytes of individual — and usually very heterogeneous — data, including blood and tumor values, personal indicators, sequencing and treatment data, and much more besides. Up to now, it has been virtually impossible to use this wealth of information efficiently due to a lack of appropriate processing mechanisms. As a result,…
Healthcare software company Dedalus announced its strategic partnership in North America with Rx.Health, an AI-based digital health unification and clinical intelligence platform. The partnership will enable collaboration between Dedalus’ solution, Digital Connect for Health (DC4H) with Rx.Health’s platform that unifies and automates digital health through an EHR connected formulary and 250+…
In 2021, health data remains an untapped opportunity; we continue to fall foul of ‘digital silos' and operating systems that are both exposed to security threats and aren't optimised to unleash the potential of data driven healthcare.
Medical data management company Flywheel announced a partnership and enterprise license agreement with Siemens Healthineers. Under the agreement, Flywheel will deliver a cloud-based research collaboration solution on the Siemens Healthineers teamplay digital health platform. Rolling out first in North America, the teamplay collaboration solution will enable Siemens Healthineers and its many…
Technologies based on artificial intelligence (AI) are considered the epitome of progress. However, the data AI algorithms use to draw their conclusions is outdated. It ignores the existence of biological sex and socio-cultural gender and their effects on individual health and disease states. Thus, the ‘thinking machines’ not only reproduce discriminating bias and prejudices but also produce…
A new platform allows hospitals to deliver improved organisational and financial performance by deploying an Internet of Things (IoT) sensor network to collect data and using AI to analyse the gathered information in a HIPAA-compliant way.
The majority of top-rated fertility apps collect and even share intimate information without the users’ knowledge or permission, a collaborative study by Newcastle and Umea Universities has found. Researchers are now calling for a tightening of the categorisation of these apps by platforms to protect women from intimate and deeply personal information being exploited and sold.
Diagnostic data from the massive amounts of testing being conducted can help make health systems more resilient in dealing with future health crises and pandemics. The importance of diagnostic data was explored during the Medtech Europe online session, “Unlocking the Value of Diagnostic Information – how to make European Health Systems more resilient?” where delegates heard that…
Over the past decade, hospitals and other healthcare providers have put massive amounts of time and energy into adopting electronic healthcare records, turning hastily scribbled doctors' notes into durable sources of information. But collecting these data is less than half the battle. It can take even more time and effort to turn these records into actual insights — ones that use the learnings…
Legal challenges hamper the sharing of health data with researchers outside the EU/European Economic Area (EEA), a new report by European academy networks concludes. The authors call for solutions to overcome these barriers to ensure timely and straightforward research collaboration in the public sector and thereby maximize health benefits for European citizens.
Brainlab, a digital medical technology company, announced today the acquisition of Mint Medical GmbH, a Heidelberg-based company that develops image reading and reporting software for clinical routine and research. The acquisition underscores the Brainlab commitment to digital health and aims to improve the structured diagnosis, analysis and treatment of cancer and other diseases to address the…
Harnessing the power of radiomics, and adopting an integrated approach to combine imaging and patient data could lead to better clinical cancer outcomes. The move has opened the door for clinicians to explore a non-invasive approach to identify the heterogeneity of a tumour and more accurately target regions for biopsy. During a presentation at ECR 2021 in March, Professor Evis Sala will…
A new EU-wide repository for health-related imaging data could boost development and marketing of AI tools for better cancer management. The open-source database will collect and harmonise images acquired from 40,000 patients, spanning different countries, modalities and equipment. This approach could eliminate one of the major bottlenecks in the clinical adoption of AI today: Data bias.
