Patient management

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Article • Preventing clinical errors

Supporting transgender health in the clinical laboratory

Clinical laboratories need to be proactive to attract transgender patients for testing and to ensure that they are comfortable with the services provided. This issue is of great importance to the American Association for Clinical Chemistry (AACC), which conducted a scientific session on transgender health at its recent annual meeting in Chicago.

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News • Covid-19 and beyond

Safe transport system for infectious patients gets innovation award

Medical technology startup EpiGuard has received the 2021 Oslo Innovation Award. Presented during the first day of the of Oslo Innovation Week, the Scandinavian city’s annual technology festival, Ellen Cathrine Andersen, CEO of EpiGuard, collected the award from Vegar Andersen, advisor for the City of Oslo’s Vice Mayor for Business Development and Public Ownership.

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Sponsored • Transcatheter aortic valve implants

TAVI: from short-term effects to lifetime management

Until recently, TAVI, the minimally invasive procedure in which a replacement valve is inserted inside a diseased valve has been mostly prescribed for patients too weak to face open heart surgery – largely involving those in the 80-plus age group. Today, due to greater longevity plus advancing skills that result in risks reduction, TAVI is increasingly prescribed for patients in their 70s and…

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News • Poor understanding

Loss of smell after Covid-19: many patients let down by doctors

A study by Newcastle University, University of East Anglia and charity Fifth Sense, shows poor levels of understanding and care from GPs and specialists about smell and taste loss in patients. This is an issue that has particularly come to the forefront during the Covid-19 pandemic as many people who have contracted the virus report a loss of taste and smell as their main symptoms.

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News • Intensive care support

AI predicts daily ICU trajectory for critical Covid-19 patients

Researchers used AI to identify which daily changing clinical parameters best predict intervention responses in critically ill Covid-19 patients. The investigators used machine learning to predict which patients might get worse and not respond positively to being turned onto their front in intensive care units (ICUs) - a technique known as proning that is commonly used in this setting to improve…

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News • Study hints at increased risk

Many Covid-19 patients return to hospital within 140 days

People discharged from hospital after Covid-19 appear to have increased risks of diseases across multiple organs and nearly a third are readmitted to hospital in the following months, according to a new study co-led by researchers at University College London. The study, published in The BMJ, looked at nearly 50,000 people who were discharged from hospital by August last year and compared them to…

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Video • Evaluation of contact-free interaction model

Talking to a 'robotic doc'? Most patients wouldn't mind

In the era of social distancing, using robots for some health care interactions is a promising way to reduce in-person contact between health care workers and sick patients. However, a key question that needs to be answered is how patients will react to a robot entering the exam room. Researchers from MIT and Brigham and Women’s Hospital recently set out to answer that question. In a study…

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News • AI 'Haven' in intensive care

Machine learning to identify deteriorating hospital patients

Researchers in Oxford have developed a machine learning algorithm that could significantly improve clinicians’ ability to identify hospitalised patients whose condition is deteriorating to the extent that they need intensive care. The HAVEN system (Hospital-wide Alerting Via Electronic Noticeboard) was developed as part of a collaboration between the University of Oxford’s Institute of…

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Article • Robots, chatbots and more

Conversational user interfaces: a new access to healthcare?

The deployment of conversational user interfaces (CUI) or chatbots to healthcare has started gaining momentum. It is fueled by the rising power of artificial intelligence (AI), the increasing popularity of mobile health applications as well as the desire for engagement and usability. The past few years have seen a myriad of innovations in chatbots that can automate and engage in human-like…

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News • Managing occupancy rates

How technology and data modelling can save hospitals from overcrowding

Overcrowding is a challenge that faces numerous hospitals across the UK. The burden of managing occupancy rates can immediately turn into a major issue that puts immense pressure on hospital staff, patients and their families alike. Studies show that when capacity rates increase above 92.5%, the death rate in hospitals can expand exponentially. It can represent one-in-seven mortalities amongst…

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Article • Corona demographics

Why Covid-19 registries for cancer patients are so important

Due to compromised immune systems cancer patients are at higher risk of contracting infections. How does cancer impact on patients who also contract Covid-19? To collect this data, four cancer registries, one in the EU, one in the UK, two in the USA, have been established. The first large, multi-institution study of the impact of Covid-19 was conducted in Wuhan, China, and presented at the…

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Article • Improving the role of radiology

Value-based healthcare: AI reveals the bigger picture

Value-based healthcare is gaining momentum and radiologists must increasingly show their contribution in improving patient care. Artificial intelligence (AI) can help them to do so and brings a series of new opportunities, according to Charles E Kahn, Professor and Vice Chairman of Radiology at the University of Pennsylvania, speaking at a meeting in Madrid in January. AI can do a lot to improve…

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News • Synapse 3D visualization tool

Improving diagnostic management of patients during the COVID-19 pandemic

The novel Coronavirus infection (severe acute respiratory syndrome SARS-CoV-2), which has led to the spread of COVID-19 around the world, has upset normal workflow in hospitals. The increased workload and stress, due to the necessity of implementing safe and separate diagnostic pathways, and the need to constantly monitor the development of the disease after its onset, continues to have a…

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