Effectively Applying AI and Machine Learning in Healthcare
There has been extensive discussion about the potential of AI and machine learning (ML), within the healthcare industry and beyond. We’re starting to see wider…
There has been extensive discussion about the potential of AI and machine learning (ML), within the healthcare industry and beyond. We’re starting to see wider…
The healthcare sector is undergoing a rapid digital transformation after COVID-19 accelerated a fast and effective healthcare response. More than ever, healthcare institutions are having…
Delivering patient-initiated follow-up (PIFU) is a major new change to outpatient services laid out in NHS England’s Operational Planning Guidance and is almost certainly going to…
One of the biggest challenges facing the NHS is the ever-growing patient waiting list for a variety of urgent and non-urgent treatments, exacerbated by numerous…
When discussing Mobile Health (mhealth) it can be a challenge to ensure we all interpret this by the same parameters, so all stakeholders feel engaged…
Biopharma start-ups need to identify the best data-management processes and systems – but to do so means they need to avoid the mistakes made by…
With an increasingly ageing demographic, a significant public health challenge is the incidence of falls. Falls in the social care sector, after all, remain a…
During the COVID-19 pandemic, healthcare researchers turned to new technology to keep medical trials running while protecting both themselves and their patients from the virus….
The COVID-19 pandemic shook up industries across the globe, but none so much as healthcare. The industry has been put under immense strain trying to…
Clinical decisions based on incomplete or out of date patient information can have serious consequences. Healthcare professionals need access to accurate and relevant patient records…