The factors negatively influencing healthcare are many but have been exacerbated by rises in life expectancy, and a growing complex aging population with multiple morbidities. Money is unlikely to be the solution to the ever-growing strain on healthcare exemplified by the NHS where the annual spend has increased every year since its inception 70 years ago. Instead suggestions have been made that we must find better ways to manage the current budget and indeed save while improving quality of care. To do this will not only require a radical change in the way in which healthcare is delivered but also in the way that healthcare professionals think in terms of embracing change and in the way, healthcare is administered. This can only be realised through co-production between academic researchers in the biomedical and data science space, healthcare professionals, policy makers and notably patients.
Building off my last post, I want to use the same healthcare data to demonstrate the use of R packages. Packages in R are stored in libraries and often are pre-installed, but reaching the next level of skill requires being able to know when to use new packages and what they contain. With that let's get to our example. When working with vectors and strings, especially in cleaning up data, gsub makes cleaning data much simpler. In my healthcare data, I wanted to convert dollar values to integers (ie.
There are so many more ways the future of healthcare will be impacted by the advancement of technology. Too many people know the horror of inputting their symptoms on WebMD, self-diagnosing themselves with some fatal disease, and then freaking out about it until they can see a doctor. However, AI in healthcare will be able to provide telemedicine – the use of technology to give clinical healthcare from any distance. AI will be able to examine users health and give almost immediate doctorate level recommendations via the internet. For example, Babylon Health is working on implementing this type of program and now has success rate 9% higher for passing the general practitioner exam compared to human doctors.
The study, conducted by YouGov, included the input of some 1,000 business leaders and 4,000 employees. The study found that regarding the use of AI in UK healthcare industry, 46% of healthcare leaders reported their organisation used the technology in some capacity, which essentially reflected an 8% increase compared to 2018. The biggest growth areas reported were research-level AI, which grew 13% in the past 12 months, and robot process automation (RPA) and general automation both increased by 10%, while the use of voice recognition technology increased by 9%. Darren Atkins, chief technology officer at East Suffolk and North Essex NHS Foundation Trust, said: "AI in healthcare is an extremely exciting prospect. It's not about replacing staff, but allowing them to maximise their skills, be more efficient, spend more time with patients and, ultimately, get better outcomes."