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Technology for a New Model for Outpatient Care

Opinion Article by Janez Bensa, Chief Executive of Parsek.
The NHS was working to develop a new model of outpatient care before COVID-19, but this work has been given a new impetus by the pandemic and the need to tackle record waiting lists as safely and efficiently as possible, while keeping patients reassured and engaged.

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Oulu University Hospital Expands Partnership with Siemens Healthineers for Better Healthcare in Northern Finland

Siemens Healthineers and Oulu University Hospital in Finland have entered a strategic partnership for the next ten years, adding to an existing radiotherapy collaboration to jointly expand and modernize the radiology department. This Value Partnership includes the supply, installation, and maintenance of medical imaging technology and software, training and further education of staff, a flexible financing concept and consulting services to increase process efficiency and improve the value chain of clinical care. A joint research approach and an enhanced collaboration to develop new solutions and treatment methods are also part of the scope of work.

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AI-Enabled ECGs may Identify Patients at Greater Risk of Stroke, Cognitive Decline

Atrial fibrillation, the most common cardiac rhythm abnormality, has been linked to one-third of ischemic strokes, the most common type of stroke. But atrial fibrillation is underdiagnosed, partly because many patients are asymptomatic.

Artificial intelligence-enabled electrocardiography (ECG) was recently shown to identify the presence of brief episodes of atrial fibrillation, and the ability of an AI-enabled ECG algorithm to predict atrial fibrillation up to 10 years before clinical diagnosis has been confirmed in a population-based study conducted by Mayo Clinic researchers.

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Positive Conclusion to DMEA - Connecting Digital Health

26 - 28 April 2022, Berlin, Germany.
After three days DMEA, Europe's leading digital health event, came to a successful conclusion - with around 11,000 visitors, more than 500 exhibitors and 300 speakers from Germany and abroad. Participation in DMEA increased, with attendance four per cent higher than at the last in-person event before the pandemic in 2019.

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AI may Detect Earliest Signs of Pancreatic Cancer

An artificial intelligence (AI) tool developed by Cedars-Sinai investigators accurately predicted who would develop pancreatic cancer based on what their CT scan images looked like years prior to being diagnosed with the disease. The findings, which may help prevent death through early detection of one of the most challenging cancers to treat, are published in the journal Cancer Biomarkers.

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Medical Valley EMN & Volitan Global Partner to Boost Start-Ups

The two healthcare innovation experts Medical Valley EMN and Volitan Global strengthen their existing inbound- and outbound activities through a strategic partnership. The aim is to offer companies access to international markets and to provide them with an excellent network as well as profound expertise.

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DMEA - Connecting Digital Health Opens with 500 Exhibitors and High-Profile Speakers

26 - 28 April 2022, Berlin, Germany.
What plans does the new federal government have concerning the digital transformation of the healthcare sector? What are the initial experiences of doctors regarding ePrescriptions? What can we learn from Israel in respect of digital health and the use of AI? These are just some of the questions that DMEA - Connecting Digital Health will be asking from 26 to 28 April. For two years Europe's leading health IT event took place in an entirely virtual format.

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Using AI to Detect Cancer from Patient Data Securely

A new way of using artificial intelligence to predict cancer from patient data without putting personal information at risk has been developed by a team including University of Leeds medical scientists.

Artificial intelligence (AI) can analyse large amounts of data, such as images or trial results, and can identify patterns often undetectable by humans, making it highly valuable in speeding up disease detection, diagnosis and treatment.

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AI Helps Physicians Better Assess the Effectiveness of Bladder Cancer Treatment

In a small but multi-institutional study, an artificial intelligence (AI)-based system improved providers' assessments of whether patients with bladder cancer had complete response to chemotherapy before a radical cystectomy (bladder removal surgery).

Yet the researchers caution that AI isn't a replacement for human expertise and that their tool shouldn’t be used as such.

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Open Call U4H-2022-PJ2: Call for Proposals on Promoting Mental Health: Implementing Best Practices to Improve Mental Health and Psycological Wellbeing in Migrant and Refugee Populations

The Ukraine crisis has an unprecedented impact on the mental health of the displaced people in the EU coming from Ukraine. The conflict and experiences of people in war zones, and during the process of displacement, is having a negative impact on the mental health of that population, and in particular on the most vulnerable groups among them.

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