Anne Cooper Joins the Highland Marketing Advisory Board

Well-known digital nurse leader Annie Coops looks forward to joining a leading forum for debate on the big issues shaping health tech and the digital health industry Highland Marketing has welcomed a digital nurse leader to its advisory board of NHS IT professionals and health tech industry experts.

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The Princess Alexandra Hospital NHS Trust Pathology Service Deploys ICE Sample Collection Module

The pathology service at The Princess Alexandra Hospital NHS Trust (PAHT) in Harlow has introduced the CliniSys Integrated Clinical Environment (ICE) sample collection module to improve efficiency and experiences for their patients and staff.

Clinicians at PAHT and local GPs use the module, which has enabled them to remove paper order forms from inpatient wards and the outpatients department.

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Text Messaging Program Linked to Improved Lifestyle Risk Factors

A text messaging program successfully supported, informed and motivated people after a heart attack on how to prevent a second heart attack, according to new research published today in the American Heart Association’s flagship, peer-reviewed journal Circulation. Study participants showed minor improvements in healthy lifestyle measures after 12 months, although participants had no improvements in taking medications as prescribed.

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Using AI to Predict Bone Fractures in Cancer Patients

As medicine continues to embrace machine learning, a new study suggests how scientists may use artificial intelligence to predict how cancer may affect the probability of fractures along the spinal column.

In the U.S., more than 1.6 million cases of cancer are diagnosed every year, and about 10% of those patients experience spinal metastasis - when disease spreads from other places in the body to the spine.

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Using AI to Analyze Large Amounts of Biological Data

Researchers at the University of Missouri are applying a form of artificial intelligence (AI) - previously used to analyze how National Basketball Association (NBA) players move their bodies - to now help scientists develop new drug therapies for medical treatments targeting cancers and other diseases.

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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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