Search Tag: Research

IT Management

£27mln for Supercomputing Services Drive Scientific Breakthroughs in UK

2020 26 Feb

More scientific breakthroughs from UK researchers, notably in the fields of artificial intelligence (AI) and drug design, can be expected with the launch of state-of-the-art supercomputing services.   The "Seven High Performance Computing (HPC)" services will be supported by a £27 million investment from the Engineering and Physical Sciences... Read more

Executive Health Management

Facilitating Collaboration During Emergencies

2020 28 Jan

By 28 January, more than 100 people have died in China in the latest novel coronavirus, known as 2019-nCoV, outbreak, with over 4,500 confirmed infections. Besides China, the virus has also spread to at least 16 other countries. V arious health organisations around the world are reacting to the latest developments. You may also like:... Read more

ICU Management

The Intelligent Intensive Care Unit: Integrating Care, Research and Education

2020 15 Jan

Integration of care, research and education in the intelligent intensive care unit. Patients admitted to the intensive care unit suffer from a variety of symptoms, pathologies, and comorbidities and are at risk of many adverse outcomes. Healthcare and technology for this vulnerable, heterogeneous patient group have immensely developed over... Read more

Executive Health Management

Academy of Medical Sciences Calls for More Research Time

2020 13 Jan

A new report suggests the UK’s National Health Service (NHS) should run a pilot project allowing more protected research time for NHS staff. Estimate of the economic costs and literature review of the benefits of dedicated research time for Hospital Consultants in the NHS was commissioned by the Academy of Medical Sciences within... Read more

Executive Health Management

Top of Mind 2020: Patient Engagement, Data Analytics and Precision Medicine

2019 19 Nov

With the ongoing transition to value-based care, the importance of technology is growing, for patient engagement increase, data management for informed decision-making and introduction of more effective treatments. However, the advancement of all these is complicated by limited resources and lack of reimbursement. Such are the conclusions of the... Read more

IMAGING Management

Strengthening Collaboration between Radiology and Non-Radiology Residents

2019 12 Nov

A new training programme, launched by Brigham and Women's Hospital and Harvard Medical School, has been found to be effective in strengthening collaboration between radiology and non-radiology residents. Besides helping promote appropriate imaging use, the initiative provides more opportunities for radiology trainees to interact with their peers in... Read more

Executive Health Management

Patient Trust Needed for Healthcare Data Success

2019 26 Aug

Summary: Health data holds the promise of healing a plethora of healthcare operational woes. Saluscoop looks at how we can make data work for provider and patient.   More and More Data for a Healthier Society   We are experiencing a period of data explosion: the digitalisation of health records, the increasing use of smartphones, portable... Read more

Executive Health Management

Monitor Me! Infographic

2019 26 Aug

An overview of mHealth and its application and implementation in healthcare. Read more

Executive Health Management

Nuclear Cardiology: Molecular Insights into the Heart

2019 26 Aug

Summary: Nuclear cardiology is a promising field located between research, imaging, and patient care. Through close interdisciplinary cooperation, a variety of cardiovascular diseases (eg coronary artery, inflammatory and infiltrative cardiac diseases) can not only be investigated, but also efficiently treated in daily clinical routine.    What... Read more

IT Management

Automating AI for Clinical Decision-Making

2019 07 Aug

Some artificial intelligence (AI)-based techniques are helping improve prediction of risks for certain diseases or disorders. Machine-learning models, for example, can be trained to find patterns ("features") in patient data and then determine a patient's risk of having lung cancer. You might also like: Machine Learning to Recognise Cardiac... Read more